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Ogbonna Nkiru
ADHERENCE IN A NIGERIAN PSYCHIATRIC HOSPITAL
ODO HILLARY OKWY
PG/M.PHARM/08/48381
Ogbonna Nkiru
Digitally Signed by: Content manager’s
DN : CN = Webmaster’s name
O= University of Nigeri
OU = Innovation Centre
FACULTY OF PHARMACEUTICAL SCIENCES
DEPARTMENT OF CLINICAL PHARMACY AND
PHARMACY MANAGEMENT
DRUG UTILIZATION REVIEW AND MEDICATION
ADHERENCE IN A NIGERIAN PSYCHIATRIC HOSPITAL
: Content manager’s Name
r’s name
O= University of Nigeria, Nsukka
OU = Innovation Centre
FACULTY OF PHARMACEUTICAL SCIENCES
DEPARTMENT OF CLINICAL PHARMACY AND
DRUG UTILIZATION REVIEW AND MEDICATION
ADHERENCE IN A NIGERIAN PSYCHIATRIC HOSPITAL
ii
DRUG UTILIZATION REVIEW AND MEDICATION
ADHERENCE IN A NIGERIAN PSYCHIATRIC
HOSPITAL
BY
ODO HILLARY OKWY
PG/M.PHARM/08/48381
DEPARTMENT OF CLINICAL PHARMACY AND
PHARMACY MANAGEMENT,
FACULTY OF PHARMACEUTICAL SCIENCES
UNIVERSITY OF NIGERIA,
NSUKKA
JULY 2014
i
DRUGUTILIZATION REVIEW AND MEDICATION
ADHERENCE IN A NIGERIAN PSYCHIATRIC
HOSPITAL
BY
ODO HILLARY OKWY
PG/M.PHARM/08/48381
A PROJECT REPORT SUBMITTED TO THE SCHOOL
OF POSTGRADUATE STUDIES, UNIVERSITY OF
NIGERIA
NSUKKA IN PARTIAL FULFILMENT OF
THE REQUIREMENTS FOR THE AWARD OF
MASTER OF
CLINICAL PHARMACY (M. Pharm) DEGREE OF THE
DEPARTMENT OF CLINICAL PHARMACY AND
PHARMACY MANAGEMENT, FACULTY OF
PHARMACEUTICAL SCIENCES
JULY 2014
ii
CERTIFICATION
Odo HillaryOkwy, a postgraduate student in the Department of Clinical Pharmacy
and PharmacyManagement with Registration Number PG/M.PHARM/08/48381 has
satisfactorily completed the requirements for the Master of Pharmacy Degree in the
Department of Clinical Pharmacy and Pharmacy Management, Faculty of
Pharmaceutical Sciences, University of Nigeria, Nsukka. The research work
embodied in this project report is original and has not been submitted in part or full
for any other diploma or degree of this or any other University.
Head Of Department…………….… Date………………
Prof. JM Okonta
Supervisor………………………….. Date……………….
Prof. JM Okonta
iii
DEDICATION
This work is dedicated to AlmightyGod, who makes all things possible including
this work, and to all the mentally ill patients all over the world,especially those
without any fault of theirs that are afflicted by this malady.
iv
ACKNOWLEDGEMENT
I wish to express my profound gratitude to my supervisor, Prof JM Okonta for his
patience, tolerance and support throughout the course of this work. Thanks for
giving me this privilege to work under you.
I wish to appreciate the erstwhile Head of Department of Clinical Pharmacy and
Pharmacy Management, Prof (Mrs.) CV Ukwe, for her concerns and advice. God
bless you.
I recognize in a special way your immense contribution to the success of this work,
Maxwell Adibe PhD. For helping with the analysis of the result of this research,
thanks and God bless you. Your positive criticisms were valued, Pharmacists
Udeogaranya P.O and Ubaka C.M, they helped in shaping this work.
I remember a friend, a sister and a confidant- Ruth Mokobia, Pharm.D, your
sustained love and encouragement formed the impetus that drove the perseverance
throughout the course of this work. I cannot thank you enough. You will forever be
in my heart.
Thank you so much Pharm (Bar) P.O Esan, the Director of Pharmacy, Federal
Psychiatric Hospital Benin, for giving me access to all I required to make this work
a reality.
I also appreciate my other colleagues - Pharm (Dr) WJ Edefo, Pharmacists: Annette,
Adejoke, Onosetaleand Grace for your assistance.
And to you Ambrose – a brother like no other, and Ukamaka, my sweet sister for
being there for me, for your concerns and encouragement when I thought that going
forward was not possible and returning was a great difficulty, I love you.
Above all, my special thanks to AlmightyGod, the maker of heaven and earth for
the gift of life, strength and knowledge. I return all glory to You.
v
TABLE OF CONTENTS
TITLE PAGE ..............................................................................................................i
CERTIFICATION .................................................................................................... ii
DEDICATION ......................................................................................................... iii
ACKNOWLEDGEMENT .......................................................................................iv
TABLE OF CONTENTS .......................................................................................... v
LIST OF TABLES .................................................................................................. vii
LIST OF ABREVIATIONS .................................................................................. viii
ABSTRACT................................................................................................................ x
CHAPTER ONE ........................................................................................................ 1
INTRODUCTION ....................................................................................................... 1
1.0 BACKGROUND ................................................................................................ 1
1.1 STATEMENT OF THE PROBLEM / RESEARCH QUESTIONS .................. 4
1.2 JUSTIFICATION OF STUDY .......................................................................... 5
1.3 SIGNIFICANCE OF THE STUDY ................................................................... 6
1.4 LITERATURE REVIEW .................................................................................... 7
1.4.1 DEFINITION OF PSYCHIATRIC DISORDER ............................................... 7
1.4.2 PREVALENCE OF PSYCHIATRIC DISORDERS ........................................ 7
1.4.3 CLASSIFICATION OF PSYCHIATRIC DISORDERS ................................. 8
1.4.4 DRUG UTILIZATION (GENERAL CONSIDERATION) ............................ 12
1.4.5 DRUG UTILIZATION IN PSYCHIATRY ..................................................... 15
1.4.6 IMPROVING DRUG UTILIZATION ............................................................. 17
1.4.7 RATIONAL DRUG USE ................................................................................. 19
1.4.8 THE CONCEPT OF ATC CLASSIFICATION AND DDD ASSIGNMENT . 27
1.4.9 ADHERENCE .................................................................................................. 30
1.4.10 ADHERENCE IN THE ADULT AND ELDERLY ....................................... 31
1.4.11 ADHERENCE IN CHILDREN AND ADOLESCENTS.............................. 36
vi
1.4.12 ADHERENCE TO PSYCHOTROPIC DRUGS......................................... 37
1.4.13 IMPROVING ADHERENCE .................................................................... 39
1.5 OBJECTIVES OF THE STUDY ..................................................................... 43
CHAPTER TWO ..................................................................................................... 44
METHODS ................................................................................................................ 44
2.0 STUDY DESIGN ............................................................................................. 44
2.1 SETTING ......................................................................................................... 44
2.2 DATA COLLECTION ..................................................................................... 45
2.2.1 Drug Utilization Review .................................................................................. 45
2.2.2 Medication Adherence ..................................................................................... 46
2.3 DATA ANALYSIS ........................................................................................ 47
2.3.1 Analysis of Drug Utilization Data .................................................................... 47
2.3.2 Analysis of Adherence Data ............................................................................. 49
2.4 ETHICAL APPROVAL ................................................................................... 49
CHAPTER THREE ................................................................................................. 50
RESULTS .................................................................................................................. 50
3.0 DRUG UTILIZATION DATA PRESENTATION ......................................... 50
3.1 ADHERENCE DATA PRESENTATION ....................................................... 57
CHAPTER FOUR ................................................................................................... 63
DISCUSSION AND CONCLUSION ....................................................................... 63
4.1 DRUG UTILIZATION .................................................................................... 63
4.2 ADHERENCE .................................................................................................. 66
4.3 LIMITATIONS OF THE STUDY .................................................................. 69
4.4 CONCLUSION ................................................................................................ 70
REFERENCES ........................................................................................................ 71
APPENDIX ............................................................................................................... 83
vii
LIST OF TABLES
TABLE 2.0: Drug Utilization Indicators and their Formula 48 TABLE 3.0: Patient Demographics 50 TABLE 3.1: Prescribing pattern based on WHO indicators 51
TABLE 3.2: Drug Availability 52
TABLE 3.3: Pattern of Drug consumption at the OPD 54 TABLE 3.4: Utilization of psychotropic drugs expressed as %, DDD/1000/day, and number of population 56 TABLE 3.5: Patient Demographic Characteristics 58 TABLE 3.6: Descriptive statistics, frequencies and % of medication taking behavior 60 TABLE 3.7: Level of Patient Adherence 61 TABLE 3.8: Comparisons of Patients’ Demographic Characteristics
with poor medication adherence 62
viii
LIST OF ABREVIATIONS
APED Action Program on Essential Drugs
ATC Anatomic Therapeutic Chemical Classification
DDD Defined Daily Dose
DSM Diagnostic and Statistical Manual
DU Drug Utilization
DURG Drug Utilization Research Group
EDL Essential Drugs List
FPHU Federal Psychiatric Hospital Uselu
ICD-10 International Classification of Diseases, 10th
revision
INRUD International Network on Rational Use of
Drugs
MMAS Morisky’s Medication Adherence Scale
MBDs Mental and Behavioral Disorders
Mg Milligram
n number
OTC Over The Counter
POM Prescription Only Medicine
POPU Population
RDU Rational Drug Use
SSRI Selective Serotonin Reuptake Inhibitor
ix
STR Strength
TR Text Revision
U.S. United States
USFDA United States Food and Drug Agency
UNICEF United Nations International Children’s
Emergency Fund
WHO World Health Organization
x
ABSTRACT
Background: Drug utilization research facilitates the rational use of drugs and suggests
measures to improve prescribing habits. Irrational use of drugs is a global problem affecting
patient care. It results in increased mortality, morbidity, adverse drug events, and wastage of
economic resources.The success of medication treatment is dependent on a patient’s
adherence to the medication regimen and non-adherence amongst psychiatric patients is
associated with poor clinical outcomes and high resource utilization.
Objectives: The objectives of this study were to evaluate the pattern of drug utilization and
the level of patients’ adherence to psychotropic drugs in a Nigerian Psychiatric Hospital.
Methods: Based on the WHO core indicators of rational drug use, data was obtained
retrospectively from a review of 5400 outpatient prescriptions from September 2007 to
August 2012. Data evaluation was done using the WHO guideline for assessment of drug
use in health facilities. Furthermore, Morisky’s scale, (an eight-item validated
questionnaire) was employed to obtain information on adherence of patients to medications
from two hundred (200) outpatients. The results were analyzed using the Statistical Package
for the Social Sciences (SPSS).
Results: A total number of 5400 prescriptions were used in this study. The pattern of
prescription in the facility revealed that an average of 2.88 drugs was prescribed per
encounter, 94.38 % of the drugs were prescribed by their generic names, and 36.13% of the
prescriptions had injection prescribed. The percentage of encounters with antibiotics
prescribed was 2.6% while 99.4% of all the drugs encountered were prescribed from the
essential drugs list.
The drugs whose utilization accounted for about 90% of the entire drug use (DU90%)
include Haloperidol, Amitriptyline, Benzhexol, Trifluoperazine, Chlorpromazine and
Carbamazepine. Haloperidol was the most utilized drug in the setting with a DDD/ 1000
inhabitants /day of 5. In more than 70% of the prescriptions encountered, all the drugs
prescribed were available in the hospital pharmacy. With respect to patient adherence,
55.5% of patients were classified as having low adherence, 36% with moderate adherence
and 8.5% having high medication adherence level.
Conclusion: The drug utilization review at the psychiatric hospital, Uselu found that
polypharmacy was frequently practiced while haloperidol was the most utilized drug. About
70% of the prescribed drugs were available at the hospital pharmacy. Outpatients’
adherence to medications was very low while socio-demographic features of patients did not
affect adherence.
1
CHAPTER ONE
INTRODUCTION
1.0 BACKGROUND
Drug utilization research has been defined by the World Health Organization
(WHO) as “the marketing, distribution, prescription and use of drugs in a society
with a special emphasis on the resulting medical, social and economic
consequences’’.1 The principal aim of drug utilization research is to facilitate the
rational use of drugs in population and to suggest measures to improve prescribing
habit. Irrational use of drugs is a widespread global phenomenon cutting across all
levels of care. This results in increased mortality, morbidity, adverse drug reactions
and economic wastages. Medicines are pivotal to healthcare delivery and disease
prevention therefore, the availability and affordability of good quality drugs coupled
with their rational use is fundamental to effective healthcare delivery in any
country.2 However, irrational use of medicines are regular occurrences in many
countries especially developing ones due to irrational prescribing, dispensing and
administration of medications.2,3According to the World Health Organization, more
than half of all medicines are prescribed, dispensed or sold inappropriately and that
half of all patients fail to take them correctly4 giving rise to patients poor clinical
outcomes.
The manner of drug use by patients and the outcomes of therapy, however, depend
on the quality and level of commitment and professionalism displayed by health care
providers. To ensure rational prescribing and drug use, the prescriber should
endeavor to follow a standard process of prescribing in accordance with that of
standard treatment guidelines and the formulary of the health care institution.
2
Rational drug dispensing requires that system of drug procurement and supply be
performed on a professional and efficient manner. The requirements for rational
drug use are that the right drugs shall be used for the right indications in the right
dose and dosage form for the right duration. Rational drug use, as an essential
element of a national drug policy seeks to avoid the frequent problems of under or
over prescription, inappropriate prescribing and the use of new, expensive drugs
when equally effective, well tried, safe and cheaper alternatives are available.
The pioneers of drug utilization research understood that a correct interpretation of
data on drug utilization requires investigations at the patient level. It became clear
that we need to know the answers to the following questions: why drugs are
prescribed; who the prescribers are; for whom the prescribers prescribe; whether
patients take their medicines correctly; what the benefits and the risks of the drugs
are?Drug utilization is in the very focus of discussion from the economic, political
and healthcare view points. A comprehensive insight into drug utilization as an
economic and primarily a public health issue can only be acquired in the context of
overall health state of the respective population.5
On the other hand, adherence to medication regimen has been monitored since the
time of Hippocrates.6 It has become a focus of increasing concern in the treatment of
psychiatric disorders in recent years.7 Adherence to a medication regimen is
generally defined as the extent to which patients take medication as prescribed by
their health care providers.6 It includes data on dose taking (taking the prescribed
number of pills each day) and the timing of doses (taking pills within a prescribed
period).Non-adherence to treatment is the degree to which a patient does not carry
3
out the clinical recommendations of the treating physician.8 Non-adherence is a
significant problem in all patient populations from children9 to elderly.10
Adherence rates are typically higher among patients with acute conditions as
compared to those with chronic conditions.11This tends to worsen the longer a
patient continues on drug therapy.12 Adherence to medication regimens necessary
for therapeutic benefit is posing a major concern to health care professionals. The
promotion of out-patient therapy and responsible self-medication has led to placing
greater responsibility on the patients for their own health outcomes. Non-adherence
is a polyfaceted problem but a triadic model relating therapeutic relationship
between the patient and clinician, factors related to medications and factors related
to the patients and their illness help to explain the non-adherent behavior.13
Physicians contribute to the non-adherence by failing to prescribe simple regimens,
not explaining the benefits and side effects of medication, not considering patients
life style or medication cost involved and inadequately eliciting and rectifying the
myths and beliefs held by patients.13,14
According to Cramer et al15, typical reasons for not taking medications include:
forgetfulness, other priorities, decision to omit doses, lack of information and
emotional factors. Supervision by a clinical trustee in cases of absence of insight on
patient’s behalf is a significant factor for adherence as well.16Non-adherence also
has economic implications. Poor adherence to medication regimen accounts for
substantial worsening of disease, death and increased health care costs.17 Of all
medication related hospital admissions in the United States, 33 to 69 percent are due
to poor medication adherence with a resultant cost of approximately $100 billion a
year.18 In less developed part of the world, cost of treatment and medication
4
deserves greater attention as patients pay almost exclusively out-of-pocket in the
absence of well-developed public health care and insurance cover.
1.1 STATEMENT OF THE PROBLEM/RESEARCH QUESTIONS
The prevalence of psychiatric disorders in both developed and developing countries
has been documented to be very high and there is a large burden of unmet need for
care among people with serious disorders.19-22The drug utilization among this class
of patients has been largely described as inappropriate which results from irrational
prescribing, dispensing and administration of medications.23
The success of medication treatment is dependent on a patient’s adherence to the
medication regimen. Non-adherence among the psychiatric patients, which has been
identified in several studies, is responsible for the poor clinical outcomes and high
resource utilization seen in this patient population.34-38
The findings following several works done on this subject matter revealed irrational
drug utilization and poor patient adherence in psychiatric settings, therefore, the
following questions are then raised about Psychiatric Hospital, Uselu, Benin City:
1. What is the current drug utilization pattern at the Federal Psychiatric
Hospital, Uselu?
2. What is the level of drug availability at the hospital pharmacy?
3. What is the current level of adherence to psychotropic drugs by patients at
the Psychiatric Hospital, Uselu?
4. What are the factors responsible for non-adherence in this setting and how
can the factors be addressed?
5
1.2JUSTIFICATION OF STUDY
Drug utilization review assesses the patterns of drug use in a particular clinical
context and such evaluation can identify problems in drug use, reduce adverse drug
reactions, optimize drug therapy and minimize drug-related expenditures.61
This can be achieved by examining the quantitative and qualitative aspects of drug
utilization. These include the medical, social and psychological factors and
consequences of drug use in relation to specific patient groups and specific
population groups, as well as the population in general.64
A major goal of drug utilization research is the improvement of drug therapy and the
assessment of drug use in the population as a whole, encompassing both
prescription-based and self-administered medications. In addition, drug utilization
research also fulfills an important public health role by not only monitoring and
controlling drug expenditure, but also providing data that serve to answer health
policy questions as well as contributing to the management and planning of public
health policies.64
In the United States, just like in many other countries, non-adherence is a serious
problem causing thousands of premature deaths and demanding care that would have
been unnecessary.64 One hundred and twenty five thousand (125 000) Americans die
annually (i.e three hundred and forty two people daily) as a result of poor
medication adherence.65Furthermore, non-adherence is the most common cause of
treatment failure which in turn affects the psychological well-being of a patient66.
Failure of the medication treatment may lead the clinician to decide on alternative
therapies which might lead to elimination of potentially effective medications or
may expose the patient to risks of adverse effects of drugs. The patient on the other
6
hand may turn to other clinicians or sources (traditional medicine for instance) for
cure. This results in more danger to the patient as well as an increase in disease-
related medical costs.
The local data on both drug utilization and patient adherence at the Federal
Psychiatric Hospital, Uselu, Benin City are very scanty. The studies done on
adherence by James and Omoaregba and drug prescribing by Agbonile and
Famuyiwawere both conducted in 2009.39,49 Therefore, there is a need to ascertain
the current level of patients’ adherence in this setting and also to re-examine the
factors responsible for poor adherence. Moreover, the previous study on drug
prescribing did not use the WHO core drug use indicators in assessing the
prescription pattern. The WHO drug use indicators which were employed in this
study allow comparison to be made between the prescription pattern of prescribers at
the Psychiatric HospitalUseluand that of the WHO reference standard and this will
go a long way in influencing the prescribers’ pattern of prescribing.
1.3 SIGNIFICANCE OF THE STUDY
It is hoped that the findings of this study would help both patients and practitioners
better understand the factors responsible for non-adherence in this setting and how
such factors could be addressed in a more collaborative manner.
It would also help the prescribers adjust their prescription pattern to be in tune with
the WHO reference standard. This study will also reveal other drug use grey areas to
which future drug use intervention programs by both the government and other
bodies could be centered on.
7
1.4 LITERATURE REVIEW
1.4.1 DEFINITION OF PSYCHIATRIC DISORDER
The simplest way to conceptualize a psychiatric disorder is as a disturbance of
cognition (i.e. thought) or conation (i.e. action) or affect (i.e. feeling) or any
disequilibrium in the three domains. Another way to define a psychiatric disorder is
as a clinically significant psychological or behavioral syndrome that causes
significant distress (subjective symptomatology), disability (objective
symptomatology) or loss of freedom; and which is not merely a socially deviant
behavior or an expected response to a stressful life event (e.g. loss of a loved
one).Conflicts between the society and the individual are not considered mental
disorders. A mental disorder should be a manifestation of behavioral, psychological,
and/or biological dysfunction in that person.135
1.4.2 PREVALENCE OF PSYCHIATRIC DISORDERS
The results of a prospective study on the prevalence of psychiatric disorders in the
Dutch population aged 18-64 revealed that psychiatric disorders were quite
common.19
According to the study, 41.2% of the adult population under 65 had experienced at
least one DSM-IV-TR135 disorder in their life time, among them, 23.3% within the
preceding year. No gender differences were found in overall morbidity. Depression,
anxiety and alcohol abuse and dependence were most prevalent and the study also
revealed a high degree of co morbidity. The prevalence rate encountered for
schizophrenia was lower (0.4% life time) than generally presumed.
8
Mental disorders are also common in the United States and in a given year
approximately one quarter of adults were diagnosable with one or more disorders.20
While mental disorders are widespread in the population, the main burden of illness
is concentrated among a much smaller proportion (about 6 percent, or in 1 in 17)
who suffer from a seriously debilitating mental illness. A 12-month prevalence of
mental disorders among U.S adult population is 26.2% while 22.3% of these (e.g.
5.8% U.S. adult population) are classified as severe.21
“Lifetime and 12-month prevalence of mental disorders in the Nigerian survey of
mental health and well-being” was a study conducted to ascertain the prevalence of
mental disorders in Nigeria. Of the 4984 people interviewed (response rate 79.9%)
12.1% had a lifetime rate of at least one DSM-IV disorder and 5.8% had 12 month
disorders. Anxiety disorders were the most common (5.7% lifetime, 4.1% 12-month
rates) but virtually no generalized anxiety or post-traumatic stress disorders were
identified. Of the 23% who had seriously disabling disorders, only about 8% had
received treatment in the preceding 12 months. The study concluded that the
observed low rates of psychiatric disorders seem to reflect demographic and
ascertainment factors. And that there was a large burden of unmet need for care
among people with serious disorders.22
1.4.3 CLASSIFICATION OF PSYCHIATRIC DISORDERS
The two major classifications in psychiatry are the ICD-10 (International
Classification of Diseases, 10th Revision, 1992)23 and the DSM-IV-TR (Diagnostic
and Statistical Manual of Mental Disorders, IV Edition, Text Revision, 2000).135
While ICD-10 is the WHO’s classification for all diseases (and not only psychiatric
disorders), DSM-IV-TR is the American Psychiatric Association’s classification of
9
mental disorders. ICD-10 will be adopted for classification of psychiatric disorders
in this study because it has been tested extensively all over the world (51 countries,
195 clinical centers), and has been found to be generally applicable across the globe.
Chapter “F’’ of the ICD-10 classifies psychiatric disorders as mental and behavioral
disorders (MBDs) and codes them on an alphanumeric system from F00 to F99.23
F00-F09: Organic, including symptomatic mental disorders
This group includes mental and behavioral disorders due to demonstrable cerebral
disease or disorder, either primary (primary brain pathology) or secondary (brain
dysfunction due to systemic disease). The disorders in this section include: delirium,
dementia, organic amnestic syndrome, and other organic mental disorders.
F10-F19:Mental and behavioral disorders due to the use of one or more
psychoactive substances
The disorders that constitute this class include: acute intoxication, harmful use,
dependence syndrome, withdrawal state, amnestic syndrome, and psychotic
disorders due to psycho-active substance use.
10
F20-F29: Schizophrenia, schizotypal and delusional disorders
This group includes mental and behavioral disorders characterized by prominent
disturbance of thought, perception, affect, and/or behavior.
The disorders in this section include: schizophrenia, schizotypal disorder, persistent
delusional disorders, acute and transient psychotic disorders, induced delusional
disorder and schizoaffective disorders.
F31-F39: Mood (affective) disorders
This group includes mental and behavioral disorders characterized by a prominent
disturbance of mood. The disorders in this section include manic episode, depressive
episode, bipolar affective disorder, recurrent depressive disorder and persistent
mood disorder.
F40-F48: Neurotic, stress-related and somatoform disorders
This group comprises mental and behavioral disorders that were earlier labeled as
neurotic disorders with an emphasis on psychological causation.
The disorders here include: anxiety disorders, phobic anxiety disorders, obsessive
compulsive disorder, dissociative (conversion) disorders, somatoform disorders,
reaction to stress and adjustment disorders, and other neurotic disorders.
F50-F59: Behavioral syndrome associated with physiological disturbances and
physical factors
This group includes mental and behavioral disorders that were earlier called
psychosomatic disorders. The disorders in this section include: eating disorders,
non-organic sleep disorders, sexual dysfunctions (not caused by organic disorder or
11
disease), mental and behavioral disorders associated with puerperium and abuse of
non-dependent producing substances.
F60-F69: Disorders of adult personality and behavior
This group includes mental and behavioral disorders that are the persistent
expression of an individual’s characteristic lifestyle and mode of relating to self and
others.
This group comprises: specific personality disorders, enduring personality changes,
habit and impulse disorders, gender identity disorders, disorders of sexual preference
and psychological and behavioral disorder associated with development and
orientation.
F70-F79: Mental retardation
This group includes disorders with arrested or incomplete development of the
intellectual abilities and adaptive behavior which may or may not be associated with
other physical or mental disorder. The disorders in this section include mild,
moderate severe and profound mental retardation.
F80-F89: Disorders of psychological development
This group includes mental and behavioral disorders with an onset during infancy or
childhood and characterized by an impairment or delay in the development of
functions that are strongly related to biological maturation of the central nervous
system. The disorders here include specific disorders of speech and language,
specific developmental disorders of scholastic skills, specific developmental
12
disorders of motor function, mixed specific developmental disorders and pervasive
development disorders.
F90-F98: Behavioral and emotional disorders with onset usually occurring in
childhood and adolescence
This group includes miscellaneous mental and behavioral disorders that have an
onset in childhood and adolescence.These disorders include hyperkinetic disorders,
conduct disorders, mixed disorders of conduct and emotions, tic disorders and other
disorders.
1.4.4 DRUG UTILIZATION (GENERAL CONSIDERATION)
The principal aim of drug utilization research is to facilitate the rational use of drugs
in population1 and to suggest measures to improve prescribing habit. Irrational use
of drugs is a widespread global phenomenon cutting across all levels of care. The
consequences of irrational medicines use include increased mortality, morbidity,
adverse drug reactions as well as economic wastages.
Drug utilization and pharmacoepidemiological studies in different countries and
practice settings during the last twenty five years have basically tried to describe
who are using the drugs and how much are being used.61 On a macro level, factors
influencing drug consumption include but not restricted to: the size of population,
age and gender distributions, occupational structure, income levels, availability of
health services, number and type of health facilities, number and type of personnel,
social insurance and reimbursement mechanisms.61
13
However, the pioneering work of Arthur Engel and Pieter Sideriusin Sweden and
Holland26respectively alerted many investigators to the importance of comparing
drug use between countries and regions. Their demonstration of the remarkable
differences in the sales of antibiotics in six European countries between 1966 and
1967 inspired WHO to organize its first meeting on “Drug consumption” in Oslo in
1969.27This led to the constitution of the WHO European Drug Utilization Research
Group (DURG).
The ultimate goal of drug utilization research must be to assess whether drug therapy
is rational or not. To reach this end, methods of auditing drug therapy towards
rationality are very pertinent. Drug use studies have also been used to identify
different types of ‘irrational’ use, e.g. overuse of psychotropics and antibiotics (such
as people using them when not indicated, for too long periods, habitual use of
analgesic every morning without a medical reason).
There has also been a lot of interests on the ‘underuse’ of drugs for major chronic
diseases like hypertension, diabetes and elevated lipids ( not starting or stopping
treatment, unsupervised drug holidays, taking only half of what is prescribed etc.)
Underuse together with misuse has been one of the main focuses of many studies62.
From some of those studies, we know something about the use of medicines, and its
clinical, social, and economic consequences.61
Drug utilization research also provides insight into the efficiency of drug use, i.e.
whether a certain drug therapy provides value for money and the results of such
research can be used to help to set priorities for the rational allocation of health care
budgets. Rational use of drugs, however, implies the prescription of a well-
documented drug at an optimal dose,along with the correct information at an
14
affordable price. Without knowledge of how drugs are being prescribed and used, it
is difficult to engage in a meaningful discussion on rational drug use or to suggest
measures to improve prescribing habits. Therefore, drug utilization research can
increase our understanding of how drugs are being used as follows.27
a. It can be used to estimate the numbers of patients exposed to specific drugs
within a given time period. Such estimates may either refer to all drug users,
regardless of when they started to use the drug within the selected period.
b. It can describe the extent of use at a certain moment and/or in a certain area
(e.g. in a country, region, community or hospital) such descriptions are most
meaningful when they form part of a continuous evaluation system, i.e. when
the patterns are followed over time and trends in drug use can be discerned.
c. Researchers can estimate (e.g. on the basis of epidemiological data on a
disease) to what extent drugs are properly used, overused or underused.
d. It can determine the pattern or profile of drug use and the extent to which
alternative drugs are being used to treat particular conditions.
e. It can be used to compare the observed patterns of drug use for the treatment
of a certain disease with current recommendations or guidelines.
f. It can be used in the application of quality indicators to patterns of drug
utilization. An example is the DU 90% (Drug utilization 90%).
The DU 90% segment reflects the number of drugs that account for 90% of
drug prescriptions and the adherence to local or national prescription
guidelines in this segment. This general indicator can be applied at different
levels (e.g. individual prescriber, group of prescribers, hospital or region) to
obtain a rough estimate of the quality of prescribing.
15
g. Drug utilization data can be fed back to the prescribers. This is particularly
useful when the drug prescribing by a particular individual can be compared
with some form of “gold standard” or best practice and with the average
prescriptions in the relevant country, region or area.
h. The number of case reports about a drug problem or adverse effects can be
related to the number of patients exposed to the drug to assess the potential
magnitude of the problem. If it is possible to detect that the reaction is more
common in a certain age group, in certain conditions or at a given dose level,
improving the information on indications, contra-indications and appropriate
dosages may be sufficient to ensure safer use and avoid withdrawal of the
drug from the market.
A review of the study conducted by Babalola et al in Osun State, Nigeria
showed that polypharmacy practice is high at the grassroots in Osun State
(south west) Nigeria.30 The study also revealed that there is shortage of
highly skilled manpower such as doctors and pharmacists for qualitative
healthcare delivery at grassroots. It also showed that the use of antibiotics
and injections were too high and there may therefore be the need to establish
protocols for the prescription and administration of both antibiotics and
injections.
1.4.5 DRUG UTILIZATION IN PSYCHIATRY
Utilization of psychiatric drugs is often a subject of drug utilization
studies.28Increasing researchers interest in prescribing and utilization of psychiatric
drugs is noted worldwide.28 Over the last decade, drug utilization studies on the
usage of psychiatric drugs have been conducted. These studies have addressed
16
certain major issues: drug use patterns, prescribing behavior, gaps between
guidelines and actual utilization and factors responsible for poly-pharmacy.28
In a review of some of the studies done in Serbia, it revealed a trend of domination
of typical antipsychotic prescription and tendency towards co-prescribing (especially
within the same class), low consumption of antidepressants and high still increasing
trend of the utilization of anxiolytic/hypnotic drugs. Among positive trends, steady
increase in the use of atypical antipsychotics and Selective Serotonin Reuptake
Inhibitors (SSRIs) antidepressants were noted.
Furthermore, a study conducted by Kapoor in 2003 at a hospital in Jammu City,
India which assessed two parameters – adherence to prescription format and
rationality of prescription, indicated that majority of prescriptions did not adhere to
the ideal pattern of prescription writing. Important demographic information like age
and sex were not written in the majority of the cases.29 He also noted that weight of
patient which is so important in calculating the dose of drug in pediatric patients was
missing in 88% of such prescriptions. Directions regarding total amount of drug to
be dispensed and instructions regarding use of drug were inadequate in 50% and
39% of the prescriptions respectively.29
Another disturbing revelation of drug utilization research is the identification of high
rate of polypharmacy especially among psychiatrists. A study done in Kaduna,
Northern Nigeria established that 92% of respondents were given two or more
psychotropic drugs.31 The high rate of psychotropic polypharmacy found in the
study above is consistent with those reported by studies from the southern
Nigeria32,33 and other parts of the world.31 That the figure is similar to those reported
by studies carried out in the country over a decade ago suggests a persistent trend in
17
the use of psychotropic polypharmacy in psychiatric practice and efforts should be
made to check and curtail this trend.
1.4.6 IMPROVING DRUG UTILIZATION
Improving the public understanding of drugs:During the last few years, there have
been different attempts both in developed and developing countries to improve the
knowledge and understanding about drugs among the general public.61This can be
seen as an attempt to influence and improve the social knowledge related to drugs
and health in general. Campaigns like ‘ask about your medicines’, are good
examples of this kind of activity. A more balanced partnership between patients and
health care providers is one of the goals in such activities. Also a better appreciation
of the limit of medicines and a lessening of the belief that there is a ‘pill for every
ill’ are examples of the goals of such efforts.
The general public also needs to develop a more critical attitude toward advertising
and other commercial information, which may often fail to give objective
information about drugs. Drug use should be seen within the context of a society,
community, family and individual, recognizing cultural diversity in concepts of
health and illness or how drugs work. Improvement of the public’s knowledge about
drugs should start at school. To facilitate informed choices on drug use, public
education should be accompanied by supportive legislation and controls on drug
availability. Effective public education requires a commitment to and understanding
of the need for improved communication between health care providers and patients.
This should also be reflected in the basic and continuing education of health care
professionals.
18
Ensuring the safety ofdrugs:Because most people will use medicines and related
services in a regular basis, the functioning of the sector is of utmost common
interest. There are also many parties involved- patients, healthcare providers,
manufacturers and sales representatives and therefore, detailed rules for interaction
and functioning is highly required. History has shown that informal controls are not
sufficient or respected.69
Legislation and regulation include different health-related laws, pharmacy law,
trademark and patent laws, criminal law, international treaties ( e.g. on narcotic and
psychotropic drugs) and government decrees. Sometimes there may be a lack of
political will or a weak infrastructure to enforce the laws as is the case in most of the
developing countries. When looking at the legal situation in the drug sector in
different countries the problem seem to be more often in the enforcement of
legislation than the lack of lagislation61
Drug registration is a key tool in assuring the safety, quality and efficacy of a new
drug being introduced into the market. In this connection the new medicine will also
be scheduled to a certain category such as POM or OTC drugs. The infrastructure
that will assure drug quality, safety and efficacy can be ascertained by licensing and
inspection of manufacturers, distributors and the premises, and also by setting some
standards on the professionals working there.
Pharmacoepidemiological studies are used to assure the safety of new medicines
after theyhave been accepted on the market. This kind of information can
supplement that availablefrom premarketing studies, it can also give a better
quantification of the incidence of known adverse drug reactions but also beneficial
effects. For ethical and other reasons it is not always suitable to perform clinical
trials on certain patient groups such as children, elderly, and pregnant women in the
19
early phase of a new product. It is also important to establish how other medicines
and diseases may alter the positive effects. New types of information not available
from the premarketing studies such as rare undetected adverse drug reactions, long
term effects that manifest only after long use, and effects with low frequency are
also the concern of pharmacoepidemiological studies.
Ensuring the availability of medicines: Availability of medicines is one of the key
requirements in a functioning drug service system.61This includes a functioning
manufacturing and importation system of medicines, good procurement and
distribution practices. In developing countries, the maintenance of a constant supply
of medicines, keeping them in good condition, minimizing losses due to spoilage
and expiry (by observing, for instance the rule of ‘ first to expire first out’ and the
use of reorder levels in drug procurement), are issues that need to be solved to assure
the availability of medicines to the population.
1.4.7 RATIONAL DRUG USE
Rational drug use (RDU) is defined as the use of an appropriate, efficacious,safe and
cost-effective drug given for the right indications in the right dose and formulation,
at right time intervals.70The promotion of rational drug use involves wide range of
activities such as adaptation of the essential drug concept, continuous training of
health professionals and the development of evidence based clinical guidelines.
Unbiased and independent drug information, consumer education and regulatory
strategies are also essential to promote rational drug use.71 Drug related problems
include medication error (involving an error in the process of prescribing, dispensing
20
or administering a drug, whether there are resultant adverse consequences ornot),
adverse drugreactions (any response to a drug which is noxious and unintended, and
which occurs at doses normally used in humans for prophylaxis, diagnosis or
therapy of disease, or for the modification of physiologicalfunctions) and drug
interactions.72These drug- related problems are frequent and may result in reduced
quality of life, and even increasedmorbidity and mortality.73The overuse, underuse
or misuse of medicines result in wastageof scarce, economic resources and
widespread health hazards. Examples of irrational use of medicinesinclude: use of
too many medicines per patient ("poly-pharmacy"); inappropriate use of
antimicrobials, often in inadequate dosage, for non-bacterial infections; over-use of
injections when oral formulations would be more appropriate; failure to prescribe in
accordance with clinical guidelines; inappropriate self-medication, often of
prescription-only medicines; non-adherence to dosing regimes.
The problem of irrational prescribing: Irrational prescribing is a global problem.100
Numerousstudies, both from developed and developing countries, describe a pattern
that includes polypharmacy74, the use of drugs that are not related to the diagnosis75
or unnecessarily expensive76, the inappropriate use of antibiotics77and irrational
selfmedication78 with drugs frequently taken in underdose.79 The problem is
worsened by a global shift from public to private sector spending, which, in many
developing countries without adequate regulation and inspection, usuallyresults in a
large proportion of drugs being purchasedwithout any prescription at all.
Measuring drug use: Rational drug use cannot be defined without a method of
measurement and a reference standard.2These same tools are even more necessary to
measure the impactof an intervention, to make comparisons between facilities,
21
districts or regions, and for supervisory purposes. Knowledge of the prescriber has
sometimes been used as an output measure of interventions.80However, adequate
knowledge on rational drug usedoes not always result in rational prescribing
behavior. Actual behavior is therefore preferred as a measurement. Over the past
few years, the International Network for Rational Use of Drugs (INRUD) and the
WHO Action Programme on Essential Drugs (APED) have closely collaborated in
developing and testing a set of 12 quantitative indicators to measure some key
aspects of prescribing and the quality of care.81These indicators, which are now also
recommended by UNICEF, are listed below. A detailed manual on their use is
available from WHO.82The second important requirement in studyingrational drug
use is a standard. In practice this implies that the prescriptionshould be compared
with an agreed treatment protocol or with a list of therapeutic alternatives. This is
also a core principle of medical audit. The following are the Drug use indicators82
Prescribing indicators 1 Average number of drugs per encounter 2 Percentage of drugs prescribed by generic name 3 Percentage of encounters with an antibiotic prescribed 4 Percentage of encounters with an injection prescribed 5 Percentage of drugs prescribed from essential drugs list orformulary
Patient care indicators 6 Average consultation time 7 Average dispensing time 8 Percentage of drugs actually dispensed 9 Percentage of drugs adequately labeled
22
10 Patient knowledge of correct dosage
Facility indicators 11 Availability of copy of essential drugs list or formulary 12 Availability of key drugs
Strategies to promote rational prescribing and their possible impact
The various interventions used in promoting rational prescribing are best classified
as educational,managerial and regulatory.83 Educational strategiesinclude printed
materials, seminars,bulletins and face-to-face interventions. Managerial methods
refer to various restrictions onprescribing, e.g. restrictive lists, a maximum number
of drugs per prescription, budgetary or cost restrictions, endorsement by higher
qualified consultants, patient co-payment strategies,price measures, structured
prescription forms or a maximum duration for inpatientprescriptions (automaticstop-
orders). Regulatory measures include procedures to critically evaluate drugs and
productinformation (e.g. data sheet, patient information leaflet) before market
approval is granted, scheduling drugs for different sales levels (over the
counter,pharmacy only, prescription only) and specifying for each drug a minimum
level ofprescriber or health facility (for example, no injectible antibiotics at health
centers).
Several studies have critically reviewed the available evidence to identify the most
effectiveinterventions84, and the following provisional conclusions may be drawn.
An importantobservation is that printed materials alone hardly influence prescriber
behaviour85, and that any such influence is usually of short duration.86 Most of these
interventions assume that the main reason for incorrect prescribing is a lack of
23
knowledge and that ifprescribers had the correct information, their prescribing
would automatically improve. This is not always the case in view of the many other
factors influencing prescribing, like drug promotion by pharmaceutical
representatives, patient demand, intentional use of placebo drugs and prescriber
preference based on personal experience rather than peer reviewed standards.87
Technical information on cost and side effects of the drugs is of much less influence,
as shown in the Netherlands.88 Another aspect of the problem is that prescribers with
irrational prescribing behavior are the very ones that are less likely to read the
educational material mailed to them. Proven cost-effective interventions are face-to-
face education focused on a particular prescribing problem in selected individuals89,
structured prescription forms90, and focused educational campaigns together with
widely discussed and frequently revised treatment guidelines. An example of the
latter is the success of the Australian antibiotic guidelines.91 Most recently, a review
of 59 published evaluations of the effect of clinical guidelines concluded that all but
four of these studies detected significant improvements in the process of care after
the introduction of guidelines, and all but two of the 11 studies that assessed the
outcome of care, reported significant improvements. However, the size of the
improvements in performance varied considerably.92
Essential drugs lists together with an educational programme and follow-up are
probably effective as well. As mentioned above, most evidence suggests that printed
materials alone are ineffective.85,86,88 It is likely that this also applies to essential
drugs lists and treatment guidelines if these are just distributed to prescribers without
an introduction campaign and without intensive follow-up, and especially if the
24
prescribers had not been involved in the development process. A general problem is
that many interventions have only been tested in developed countries and that the
results can therefore not automatically be extrapolated to developing countries
where conditions are so different. In the absence of well conducted studies, Laing
has attempted to give provisional advice to developing countries with regard to
possible effective interventions.93 He suggests that basic and postbasic medical
education should include specific training in rational prescribing; that essential drugs
lists and therapeutic guidelines should be developed through wide consultation and
feed-back and be disseminated by means of intensive educational programmes as
recorded from Yemen94, Uganda95and Zimbabwe96; that general limitations on
prescribers(maximum number of drugs per prescriptions, maximum quantities,
maximum costs etc) may have unexpected effects which should be avoided through
careful studies before such measures are taken; that face-to-face education may be
effective but expensive; and that printed materials, including treatment guidelines,
are ineffective without educational programmes and follow-up activities. The overall
impact of drug bulletins is not clear. Experience from developed countries is not
encouraging, but this may be due to the fact that prescribers receive so many
promotional and other materials that some of them did not even recognize a
carefully designed set of academic detailing material as different fromcommercial
material.97 However, in most developing countries the lack of
information,promotional or otherwise, is so serious that any unbiased material sent
out to prescribers might be studied with more care. Bulletins, especially when
geared to actual day-to-day prescribing problems, may therefore have more impact
in developing countries than elsewhere. This hypothesis is worth examining.
25
The role of medical schools and teaching hospitals:
The impact of medical education on subsequent prescribing behavior is difficult to
evaluate, as most studies have measured knowledge rather than actual performance.
Moreover, immediately after leaving medical school the young doctors are exposed
to many other factors influencing their prescribing. It is now increasingly being
recognized that the traditional medical education concentrates too much on an
accumulating quantity of facts, including the drugs of the day, rather than teaching
the student techniques of problem solving and making a rational choice between
drug treatment alternatives, which includes the skill to evaluate critically any new
drugs of the future.98
With regard to rational prescribing this implies that the objectives of clinical
pharmacology training need to be defined better, with more emphasis on the
practical needs of the future prescriber. This has shown to result in better therapeutic
knowledge and skills of the students.99An undergraduate course in clinical
pharmacology and therapeutics should stress the principles of rational evaluation of
therapeutic alternatives and help the students to develop their own personal
formulary on the basis of a rational comparison of therapeutic alternatives. Such a
course could also 'immunize' the students against the disturbing influences they are
likely to encounter in their professional life, such as patient pressure, drug
promotion and irrational prescribing by peers. The introduction of such a revised
course in clinical pharmacology alone will not be enough. In many teaching
hospitals bedside training emphasizes the need to make a correct diagnosis, with
much less time spent on choosing the correct treatment.
26
And even if treatment guidelines exist, students are usually told to follow them
rather than being taught on what grounds the guidelines had been developed, and
how they should choose their own treatment in the future. Under these
circumstances students entering the wards can do little more than copy the behaviour
of residents and consultants. Unfortunately the prescribing practice in teaching
hospitals, that inevitably serves as a role model for the students, is often irrational
and inconsistent, as has frequently been described from developed and developing
countries. For example, numerous reports100 on the inappropriate use of antibiotics
in teaching hospitalsshows that as many as 41-91% of all antibiotic prescriptions in
teaching hospitals were considered inappropriate; a slightly better picture emerged
from medical and paediatricbwards but the situation in surgical and gynaecological
wards was usually worse. Unnecessary treatment was by far the most common
reason for irrational prescribing, followed by Wrong duration, misguided
prophylaxis and poor selection of the drug. Not only antibiotics are misused in
teaching hospitals. Polypharmacy was considered a serious problem in the medical
and surgical wards of Singapore general hospital101 and vitamins were heavily
overprescribed in the Kenyatta Teaching Hospital.75 In the teaching hospital in Aden
(Yemen) 68% of all patients with hypertension were prescribed diazepam, and 54%
received Frusemide80; 80% of patients with osteoarthritis received vitamins.
In the teaching hospital in Benin city (Nigeria) 74.3% of all pediatric prescriptions
were considered inappropriate, mostly because of polypharmacy, the use of
unnecessary drugs and suboptimal dosage schedules.102 In Ilorin teaching hospital in
Nigeria 33.1% of patients admitted to the surgical and medical wards received
psychotropic drugs, 91.4% being tranquillizers.103 The potential long term impact of
27
such a lack of structured therapeutic training in the wards should not be
underestimated. Teaching hospitals have a special responsibility towards society to
promoterational prescribing by their staff and, through these, by future generations
of doctors. The best approach seems that each clinical department in the teaching
hospital should develop a departmental prescribing policy through a process of
consultation and consensus building, in which clinical pharmacologists are involved.
Such prescribing policies can later be integrated into a hospital formulary and should
be used, and enforced, as the basis for prescribing, teaching, examinations and
medical audit. This is already the case in several medical schools in the United
Kingdom104 and elsewhere; amongst developing countries Zimbabwe is a good
example.105 Ideally, medical students would then be trained in the principles of
rational prescribing before they enter the wards; and these concepts would be
reinforcedduring the clinical training with bedside teaching, examinations and actual
prescribing by senior staff all based on the same principles.
1.4.8 THE CONCEPT OF ATC CLASSIFICATION AND DDD
ASSIGNMENT
The purpose of the Anatomical Therapeutic Chemical Classification/Defined Daily
Dose (ATC/DDD) system is to serve as a tool for drug utilization research in order
to improve quality of drug use. One component of this is thepresentation and
comparison of drug consumption statistics at international andother levels.A major
aim of the Centre and Working Group is to maintain stable ATC codes andDDDs
over time to allow trends in drug consumption to be studied without thecomplication
of frequent changes to the system. Thereis a strong reluctance tomake changes to
classifications or DDDs where such changes are requested forreasons not directly
28
related to drug consumption studies. For this reason theATC/DDD system by itself
is not suitable for guiding decisions aboutreimbursement, pricing and therapeutic
substitution.It has to be noted that the classification of a substance in the ATC/DDD
system is not a recommendation for use, nor does it imply any judgements about
efficacy or relative efficacy of drugs and groups of drugs.40 In the ATC
classification system, the active substances are divided into different groups
according to the organ or system on which they act and their therapeutic,
pharmacological and chemical properties. Drugs are classified in groups at five
different levels. The drugs are divided into fourteen main groups (first level), with
pharmacological/therapeutic sub groups (second level). The third and fourth levels
are chemical/pharmacological/therapeutic sub groups and the fifth level is the
chemical substance. The 2nd, 3rd and 4th levels are often used to identify
pharmacological sub groups when that is considered more appropriate than
therapeutic or chemical sub groups.
The complete classification of metformin, for instance, illustrates the
structure of the code.
A Alimentary tract and metabolism (1st level, anatomical main
group).
A10 Drugs used in diabetes (2nd level, therapeutic sub group).
A10B Blood glucose lowering drugs, excludinginsulins (3rd level,
pharmacological sub groups).
A10BA Biguanides (4th level, chemical sub group).
A10BA02 Metformin (5th level, chemical substance).
Thus, in the ATC system, all plain metformin preparations are given the code
A10BA02.
29
For amitriptyline.
N Nervous system (1st level, anatomical main group).
N06 Psychoanaleptics (drugs that cause arousing effect) (2nd level,
therapeutic sub group).
N06A Antidepressants (3rd level, pharmacological sub group).
N06AA Tricyclic antidepressants (4th level, chemical sub group).
N06AA09 Amitriptyline (5th level, chemical substance).
Therefore, all plain amitriptyline preparations are given the code N06AA09 in the
ATC classification system.
The DDD is defined as the assumed average maintenance dose per a day for a drug
used for its main indication in adults. A DDD will only be assigned for drugs that
already have an ATC code. It should be emphasized that DDD is a unit of
measurement and does not necessarily correspond to the recommended or prescribed
daily dose (PDD). Doses for individual patients and patient groups will often differ
from the DDD as they must be based on individual characteristics (e.g. age and
weight) and pharmacokinetic considerations.
The DDD is often a compromise based on a review of the available information
about doses used in various countries. The DDD may even be a dose that is seldom
prescribed, because it is an average of two or more commonly used dose sizes.
When drug utilization studies are carried out in an outpatient setting, the figures
should ideally be presented as numbers of DDDs per 1000 inhabitants per day which
is calculated using the following equation.
DDD/1000 inhabitants = ����������� �(��)
���(��)��������������(� )�1000
30
Prescription data presented in DDDs per 1,000 inhabitants per day may provide a
rough estimate of the proportion of the study population treated daily with a
particular drug or group of drugs. For instance, the figure 10 DDDs per 1000
inhabitants/ day indicates that 1% of the population on average might receive a
certain drug or group of drugs daily.
1.4.9 ADHERENCE
In medicine, adherence describes the degree to which a patient correctly follows
medical advice. Most commonly, it refers to the adherence to drugs or medications,
but it can also apply to other situations such as medical device use, self care, self-
directed exercises, or therapy sessions. Both the patient and health care provider
affect adherence and a positive physician-patient relationship is the most important
factor in improving adherence, 41 although the cost of prescription medications also
plays a major role.42In a study, it was found that being married, older, employed, not
smoking or drinking were associated with higher adherence62. The most common
reason given by patients for failure of adherence is being fed up with the disease and
the therapy, forgetful or too busy.63
Worldwide, non-adherence is a major obstacle to the effective delivery of
healthcare. Estimates from the World Health organization (2003) indicate that only
about 50% of patients with chronic diseases living in developed countries follow
treatment recommendations.41 In particular, low rates of adherence to therapies for
asthma, diabetes, and hypertension are thought to contribute substantially to the
human and economic burden of those conditions.41
31
Adherence rates may be overestimated in the medical literature, as adherence is
often high in the setting of a formal clinical trial but drops off in a “real world”
setting.43 Major barriers to adherence are thought to include the complexity of
modern medication regimens, poor health literacy and lack of comprehension of
treatment benefits, the occurrence of undiscussed side effects, the cost of
prescription medicine, and poor communication or lack of trust between the patient
and his or her health care provider.44,45,46 Efforts to improve adherence have been
aimed at simplifying medication packaging, providing effective medication
reminders, improving patient education and limiting the number of medications
prescribed simultaneously.
1.4.10 ADHERENCE IN THE ADULT AND ELDERLY
Age by itself is not a determining factor in medication nonadherence.50Rather, there
are many factors that may combine to render older persons less able to adhere to
their medication regimens. However, there is evidence to suggest that, with the
proper motivation, education and support, older persons can overcome many barriers
to medication adherence.50
FACTORS AFFECTING MEDICATION ADHERENCE IN THE ELDERLY
Adherence is a multidimensional phenomenon determined by the interplay of five
sets of factors, termed “dimensions” by the WHO.51The various dimensions and the
factors influencing them are as follows:
Social/Economic Dimension
- Limited English language proficiency
- Low Health literacy
32
- Lack of family or social support network
- Unstable living conditions; homelessness
- Burdensome schedules
- Limited access to health care facilities
- Lack of Health care insurance
- Inability or difficulty accessing pharmacy
- Medication cost
- Cultural and lay beliefs about illness and treatment
- Elder abuse.
Health care systems Dimensions
- Provider-patient relationship
- Provider communication skills (contributing to lack of patient knowledge or
understanding of the treatment regimen)
- Disparity between the health beliefs of the Health care provider and those of
the patients.
- Lack of positive reinforcement from the Health care provider
- Weak capacity of the system to educate patients and provide follow up.
- Lack of knowledge on adherence and of effective interventions for
improving it.
- Patient information materials written at too high literacy level
- Long waiting time
- Lack of continuity of care.
Condition-related Dimension
- Chronic conditions
33
- Lack of symptoms
- Severity of symptoms
- Depression
- Psychotic disorders
- Mental retardation/ developmental disability.
Therapy-related Dimension
- Complexity of medication regimen
- Treatment requires certain techniques ( injections/ inhaler)
- Duration of therapy
- Frequent changes in Medication regimen
- Lack of immediate benefit of therapy
- Medications with social stigma attached to use
- Actual or perceived unpleasant side effects
- Treatment interferes with lifestyle or requires significant behavioral changes
Patient-related Dimensions
a. Physical Factors
- Visual impairment
- Hearing impairment
- Cognitive Impairment
- Impaired mobility/dexterity
- Swallowing problems
b. Psychological/Behavioral factors
- Knowledge about desease
34
- Perceived risk/ susceptibility to disease
- Understanding reasons medication is needed
- Expectations or attitudes towards treatment
- Perceived benefit of treatment
- Confidence in the ability to follow treatment regimen
- Fear of dependence
- Frustration with health care providers/system
- Alcohol/substance abuse.
Patient-related factors are just one determinant of adherence behavior.The common
belief that a person is solely responsible for taking their medications often reflects a
misunderstanding of how other factors affect people’s medication-taking behavior
and their capacity to adhere to treatment regimens51. Factors associated with each
dimension are listed above.
It is clear that adherence is a complex behavioral process strongly influenced by the
environments in which people live, health care providers practice, and health care
systems that deliver care. Adherence is related to people’s knowledge and beliefs
about their illness, motivation to manage it, confidence in their ability to engage in
illness-management behaviors, and expectations regarding the outcome of treatment
and the consequences of poor adherence51.
It is important to recognize that a person may have multiple risk factors for
medication nonadherence. Also, factors that can influence a patient’s medication-
taking behavior may change over time.Therefore, it is important to continually
assess a person’s adherence throughout the course of therapy. In addition, because
35
there is usually no single reason for medication nonadherence, there can be no “one
size fits all” approach to improving adherence.
Many of the interventions used to improve adherence especially in the elderly focus
on providing education to increase knowledge; simplifying the medication regimen
(fewer drugs or fewer doses); or making it easier to remember (adherence aids, refill
reminders).
However, simplifying a dosage regimen is unlikely to affect a patient who does not
believe that taking medications is important or that the therapy will improve his/her
health, and the available evidence shows that knowledge alone is not enough for
creating or maintaining good adherence habits.51
Based on published studies52, it is evident that single interventions are less
successful than multiple, long term interventions in affecting adherence. The studies
show that the most successful interventions have some follow-up component and
address the underlying reasons for nonadherence. Comprehensive interventions
should address a variety of issues, including knowledge, motivation, and social
support and individualizing therapy based on a patient’s concerns and needs.52
The ideal time to initiate adherence interventions is when therapy first begins.
Interventions that are initiated early in the course of therapy can support older
persons through a period when they are most likely to have questions or to
experience side effects from the therapy.
36
1.4.11 ADHERENCE IN CHILDREN AND ADOLESCENTS
Poor medication adherence is common in children and adolescents with chronic
illness, but there is uncertainty about the best way to enhance medication adherence
in this group and this is due to the fact that no studies have identified effective
interventions for young people with established poor adherence.54
Most existing reviews of adherence-promoting interventions have focused on the
adults. However, many young people experience chronic illness55,56 and poor
medication adherence.54,57 Involvement of families in medication routines57,58 and
varying developmental capacities of children and adolescents59 may influence
medication adherence, reinforcing the need to identify interventions with
demonstrated efficacy in young people rather than translating findings from adult
research.54,59
A review of interventions for children suggests that educational or behavioral
interventions may be potentially effective for promoting adherence,60These
interventions are important as they are able to be implemented by individual health
practitioners at various treatment stages.
Education typically involves providing verbal or written information about the
nature of the illness, rational for treatment and benefits and adherence while
behavioral management includes a range of techniques such as monitoring and goal
setting, reinforcing medication taking with rewards, problem solving and linking
medication taking with established routines.
37
1.4.12 ADHERENCE TO PSYCHOTROPIC DRUGS
Enhancing a patient’s adherence to psychotropic medication regimens is one of the
challenges facing all mental health professionals and consequently has been studied
for over fifty years.53Mitchell and Selmes (2007) have provided a comprehensive
account of the reasons that lead people with a wide range of mental disorders to miss
their medications. They have illustrated many factors that such individuals share
with patients with physical disorders, and also more specific to people with mental
disorders.47
Medication adherence rates reported for populations with psychiatric illness ranges
from 24 to 90 percent for patients treated with antipsychotic medication and 40 to
90 percent for patients treated with antidepressants.7 Another set of patients will
never start or will stop therapy completely within the first year and only a minority
will continue taking drugs as prescribed.12 An overview of the extensive literature
on medication adherence found no differences in adherence rates between
populations with physical disorders and those with psychiatric disorders.49
Studies that seek to ascertain the patients’ adherence to psychotropic drugs have
been carried out in different parts of Nigeria and also at other parts of the world with
varying results obtained. In most of the studies consulted, co-morbidities, side
effects, forgetfulness, high cost of medications, inability of the practitioners to
explain timing and dose or benefits of medications and educational status of the
patients were some of the factors associated with non-adherence.34-38
38
According to the study done by James and Omoaregba in 2009, their findings were
that higher frequency of medication dosing, illness severity and stigma were the
significant predictors of poor medication adherence among the psychiatric patients.39
39
1.4.13 IMPROVING ADHERENCE
One of the sections above has reviewed briefly some of the main factors which
influence the adherence of elderly patients as well as other patient categories. The
point has already been made that, ultimately, the patient has the right not to comply.
However, it may be regarded as a professional responsibility to try to persuade the
patient on the benefit of adherence. The following section considers some of the
many techniques which the pharmacist can use to achieve improved adherence.
Understanding
The aim here is to ensure as high a level of understanding by the patient as possible.
This means that optimum communication skills must be used. This can be done
orally during patient counseling. This may simply involve passing on relevant
information to the patient. However, the pharmacist need to be alert to the
indications of the patient’s health beliefs, their own objectives of the treatment and
any information they may already have acquired from other sources. If these are at
variance with fact, an attempt may be required to correct the error.
Apart from routine counseling, it may be necessary to give additional information to
fill in gaps in understanding following the patient’s consultation with the doctor.
Alternatively, it could be providing information about the disease, the drug, and
lifestyle advice or giving training in using the medicine. Where a patient relies on a
carer, it is advisable to involve the carer in any counseling or other advice which is
being given.
Along with verbal communication, written information is supplied. Labels must be
clear, easy to read and unambiguous. Where necessary and possible, computers can
40
produce print labels as well as Braille labels. Other written information must be in
non-technical language to make it readily understood.
Medicines management
When adherence aids are discussed, it is usually those designed to assist medicine
management which are thought of first. The aim of any actions taken is to assist
patients to manage their medicine-taking. There are three main approaches which
can be tried. A diary of the day, indicating on it the times at which each medicine
should be taken is the simplest form of adherence chart. Colour coding may be used
to link the medicine bottle and chart. Marking the chart as each dose is taken assists
in preventing re-administration.
Devices designed as compliance aids can be used. There is a wide range of different
designs of memory aid devices for tablets and capsules. Monitored dosage systems
can be used as an alternative. The principle on which they all operate is that
compartments are used to hold doses, each compartment corresponding to a time of
day. The patient works through the device as the day progresses, removal of the
medicine indicating that it has been remembered. Audible devices are also available.
There can be some problems. Errors may be made in filling the aid, there are
questions about the stability of some medicines in these devices and some patients
may have difficulty getting the tablets or capsules out of the compartments. Liquids
are much more difficult to handle using these aids. Some of these adherence aids
include 7-day pill organizer, Automatic pill timer, Daily pillminder, Day planner,
Medimax, Mediset mini, Medtime Minder (audible) and many more similar aids and
new ones are being introduced continually.61
41
The third possibility is to review the medicines to see if the regimen can be
simplified to make it easier to manage. Thus, the use of sustained-release dosage
forms reduces dosage frequency and combination dosage forms reduce the total
number of medicines to be remembered. It is known that going from three or four
times daily dosing to twice daily improves adherence, but there seems to be no
further advantage with once daily dosing.61
Disease-related problems
Careful counseling can answer many of the problems which arise from a lack of
understanding about the disease and its treatment. This can be particularly important
with asymptomatic conditions or prophylactic treatments. Where the disease has
reduced the manipulative ability of the patient, some adherence aids or other simple
measures may be useful. The simplest is to suggest non-child-resistant closures for
some elderly patients. Larger bottles can be used to make handling easier. Devices
are available to get tablets from blister packs, which many people with arthritis and
pakinsons disease find particularly difficult. A long-armed roller is available to
assist applying ointments and creams to parts of the skin that are difficult to reach.
Drug-related problems
Many pharmacists especially those in the community find it difficult to obtain
generics for dispensing which are almost always consistent in appearance. Thus it
may not be possible to reduce the problems that arise from changes of color, shape
and size, other than by reassuring the patient. Where some control is possible, the
use of the patient medication record to record the source of tablets dispensed for an
individual will reduce these variations to minimum and thereby improving the
patient’s adherence. Control of side effects may require a change in prescription.
42
However, it is sometimes possible to modify the method of taking a medicine to
reduce the problems, such as avoiding tablets on an empty stomach to reduce the
incidence of nausea. Where ingredients will not be acceptable to some patients, it is
necessary for the pharmacist to be aware of the problem and to be in a position to
suggest alternative products where possible.
Other problems
There are no simple answers to many of the other sociological and psychological
factors which affect adherence. The correct prescribing decision for the patient will
be more likely if a concordant approach is adopted during consultation, and
adherence should increase as the goals of the treatment are the patient’s. However,
in order that the pharmacist can provide counseling consistent with the decision of
the prescriber, mechanisms will need to be developed for the sharing of this
information, although issues of patient confidentiality and sharing of data need to be
resolved.Depending on the nature of the problem, effective counseling by the
pharmacist may assist with improving adherence. In other situations, it may require
a concerted effort by the whole health care team to help patients understand their
treatment and the personal value of compliance for them.
Adherence to medication can be a very difficult problem which may go undetected.
When non adherence is recognized, the pharmacist is in a good position to offer
support to the patient. The approach should be to attempt to remove obvious barriers
to adherence first, e.g. by suggesting adherence aids, drawing up adherence chart or
instructing in the method of administration. Some patients will always be poor
compliers, but many can be helped towards effective use of their medicines.
43
1.5OBJECTIVES OF THE STUDY
The general objective of this study is to evaluate the drug utilization pattern and
patients’ adherence to psychotropic medicines at the Federal psychiatric
HospitalUselu, Benin City while the specific objectives include:
1. To evaluate the drug utilization pattern using WHO drug use indicators
2. To assess theavailability of essential medicines
3. To determine the level of patients’ adherence to medications and
4. To explore the factors influencing medication adherence at the study setting.
44
CHAPTER TWO
METHODS
2.0 STUDY DESIGN
The study design employed for the drug utilization study was a retrospective
method. The retrospective method was descriptive and employed relevant data from
the prescription records of the patients seen in the out-patient pharmacy section of
psychiatric hospital, Uselu from September 2007 to August 2012.
Data on WHO core drug use indicators and the percentage of drugs prescribed but
not available (i.e out of stock) were collected during the study.
The other arm of the study which was a prospective design employed Morisky's
scale67 to assess the patients’ level of medication adherence.
2.1 SETTING
This study was conducted at the Federal Psychiatric Hospital Uselu, Benin City, Edo
State.The hospital has a 220-bed capacity and serves about thirteen million49 people
living in the state and neighboring states of Delta, Ondo, Anambra, Kogi and
Rivers.The hospital, in August 2012, has in its employ six(6) Consultant
psychiatrists, nineteen(19) resident Doctors, oneDoctor on Youth Service,
Thirteen(13) Pharmacists, two Pharmacists, twelve (12) Intern Pharmacists, five(5)
Pharmacy Technicians, one hundred and seventy three(173) Nurses, one(1) clinical
Psychologist and other Healthcare professionals.
45
2.2 DATA COLLECTION
2.2.1 Drug Utilization Review
Systematic random sampling was adopted in collecting data for the drug utilization
study. The prescription sheets of patients seen at the OPD section of the pharmacy
department between September 2007 and August 2012 were collected and collated
chronologically and later separated according to the year of prescription. For the
purpose of this study, September 2007 to August 2008 was referred to as year 1,
September 2008 to August 2009 as year 2, September 2009 to august 2010 as year 3,
September 2010 to august 2011 as year 4 and September 2011 to August 2012 as
year 5.
The total number of prescriptions over the five-year period was 108000 with an
average of 48,57,60,60 and 75 prescriptions per day giving rise to 17280, 20520,
21600, 21600, and 27000prescriptions respectively for each year. From the 108000
total prescriptions that was collated and classified according to the year of
prescription, 3 prescriptions were selected at random by picking 1 in every 16
prescriptions for the first year, 1 in every 19 prescriptions for the second year, 1 in
every 20 prescriptions for the third and fourth years and 1 in every 25 prescriptions
for the fifth year amounting to 1080 prescriptions per year and 5400 sample
prescriptions used in this study. The relevant information on the sampled
prescriptions were entered into a data collection form (Appendix 1). The information
that were extracted from the prescriptions included: date of prescription, age and sex
of the patient, number of drugs per prescription, number of drugs prescribed by
generic name, number of prescriptions with injection and/ or antibiotics, number of
drugs prescribed from the essential drugs list, number of drugs prescribed but not
available. In addition, the total number of each drugs prescribed within the study
46
period as well as the frequency of such prescriptions were captured using FORM 3
(Appendix 3).
2.2.2Medication Adherence
Patients’ adherence to psychotherapeutic drugs was assessed using a socio-
demographic questionnaire as well as the Morisky’s Medication Adherence Scale
(MMAS) which was administered to a convenience sample of two hundred (200) out
patients. The questionnaire was divided into two sections. The first section sought to
obtain information about the patients’ demographic characteristics; age, state of
residence, employment status, highest level of education, marital status, having a
caregiver, and history of co-morbidity.
The second section comprised of the eight-item Morisky Medication Adherence
Scale (MMAS-8) which is a reliable37,67 and validated eight-item (Appendix 2);self
reported measure of medication use behavior.68 Each item on the scale measures a
specific medication-taking habit.67 Each question on the MMAS requires only a “yes
or no” answer. The patients were asked about their extent and tendency to forget to
take their medications. They were also asked if they discontinue their medication
upon feeling better or worse. It also included the patients’ beliefs on whether their
treatment plans were seen as an inconvenience or not.
Because of the likelihood of patients giving a false-positive answer, the questions on
the MMAS were appropriately worded in a particular manner to prevent this from
happening. For questions 1-7, answers were awarded scores of 1 for YES and 0 for
NO. For question 8, the answer A attracts the score of 1 while B-E is awarded the
score 0. The scores obtained were summed up to give the overall level of medication
adherence. The MMAS scores have been divided into three levels to classify the
47
level of medication adherence. MMAS scores >2 indicates low adherence, 1 or 2
indicates moderate adherence while MMAS score of 0 shows high medication
adherence.37
The MMAS-8 was well understood by a pilot group of 10 patients who were
excluded from the study. It also had a good test-retest reliability following re-
administration 2 weeks apart.
2.3 DATA ANALYSIS
2.3.1 Analysis of Drug Utilization Data
Extracted information from the prescription sheets were entered into the data
collection form (Form 1) and sorted with the aid of Microsoft excel 2007 and
expressed as means and frequencies. The prescribing indicators were calculated
using the WHO guideline, including average number of drugs per encounter,
percentage of drugs prescribed by generic name or from essential drugs list, and
percentage of encounters during which an antibiotic or injection were prescribed.
The drug use parameters as well as their calculation formula are as shown below, Table 2.0
48
Table 2.0 Drug Utilization Indicators and their formula
The Drug Utilization 90% ( DU 90%) segment reflects the number of drugs that
account for 90% of drug utilization and comprises the drugs whose percentage adds
up to 90%.
The DDD/1000 inhabitants/day was calculated using the ATC classification and
DDD assignment (2010) as given by WHO collaborating center for drug statistics
methodology Oslo, Norway.40
Drug use indicator Calculation
Average number of drugs per encounter Total number of drug products prescribed divided by the total number of encounters surveyed.
Percentage of drugs prescribed by generic name
(The number of drugs prescribed by generic name divided by the total number of drugs prescribed) multiplied by 100
Percentage of encounters with antibiotic (The number of patient encounter during which an antibiotic divided by the total number of encounters surveyed) multiplied by 100
Percentage of encounters with injection prescribed
(The number of patient encounters during which an injection was prescribed divided by the total number of encounters surveyed) multiplied by 100
Percentage of drugs prescribed from essential drugs list
(The total number of products prescribed from the hospital formulary divided by the total number of drugs prescribed) multiplied by 100
Percentage of drugs prescribed but not available
(The number of encounters during which at least a drug was out of stock divided by the total number of encounters) multiplied by 100
49
Formula for DDD/1000 inhabitants/day
⁼ Amount of drugs used in 1 yr(mg) ×1000
DDD(mg)×population × study duration(in days)
2.3.2 Analysis of Adherence Data
Data on patient adherence were collected prospectively from patients and entered
into Form 3.The data collected was stored in an Excel 2007 database and later
imported into Statistical Package for Social Sciences (SPSS) V 17.0 (Chicago IL,
USA) software for analysis. Results were summarized using descriptive statistics
and the chi-square test was used to examine associations between socio-
demographic characteristics and poor medication adherence. Significance was
calculated at p˂0.05.
2.4 ETHICAL APPROVAL
The approval to carry out this study was applied for, and obtained from the Ethical
Committee of the Psychiatric Hospital, Uselu (Appendix 4 and 5).Informed oral
consent was also obtained from all the participants subsequent to the aims and
objectives of the study being described to them.
50
CHAPTER THREE
RESULTS
3.0 DRUG UTILIZATION DATA PRESENTATION
A total number of 5400 prescriptions were used to assess the pattern of drug
utilization in this study. Out of this, 2567 prescriptions were for males (47%) while
2833 prescriptions were for females (53%), Table 3.1.
The age on the prescriptions ranged from 5-94 years. The age distribution as seen in
table 3.1 is as follows: 22 prescriptions were for children, 135 prescriptionsfor
adolescents, 3836 for adults and 823 prescriptions for elderly patients while 584
prescriptions did not have any age information, Table 3.0.
Table 3.0Patient demographics
Patient variables
No of Patients (n) Percentage
TOTAL
GENDER
5400 100
Male 2567 47
Female 2833 53
AGE GROUP (yr)
5-10 (Children)
22 0.41
11-17 (Adolescents)
135 2.50
18-49 (Adults) 3836 71.04
˃ 49 (elderly)
823 15.24
Not indicated 584 10.82
51
The pattern of prescriptionrevealed that the prescribers at the study setting prescribe
approximately 3 drugs per encounter, more than 90 % of the drugs were prescribed
by their generic names andover 30% of the prescriptions had injection prescribed.
The percentage of encounters with antibiotics prescribed was 2.6% while nearly
100% of all the drugs were prescribed from the essential drugs list, Table 3.1.
Table 3.1 Prescribing pattern, based on WHO core drug use indicators108
Prescribing indicator FPHU Reference value
Average number of drugs per encounter 2.88 1.6-1.8
Percentage of drugs prescribed by
generic
94.38% 100%
Percentage of encounter with injection 36.33% 13.4-24.1%
Percentage of encounter with antibiotic 3.2% 20.0-26.8%
Percentage prescribed from EDL 99.2% 100%
FPHU= Federal Psychiatric Hospital, Uselu Benin City, Edo State.
EDL= Essential Drugs List.
52
Out of the 5400 prescriptions encountered, 70.85% had all the drugs prescribed
available in the hospital pharmacy. In 1183 prescriptions, a drug was out of stock;
two drugs were unavailable in 315 encounters while 50 prescriptions and 26
prescriptions had three and four drugs out of stock respectively as seen in table 3.2.
Table 3.2 Drug Availability
No of Drugs Out of
Stock
No of prescriptions encountered Percentage
0 3826 70.85
1 1183 21.91
2 315 5.833
3 50 0.926
4 26 0.481
TOTAL 5400 100
53
The pattern of drug consumption at the outpatient department of the Psychiatric
Hospital, Uselu is shown on Table 3.3. The number of individual tablets or vials of
injectibles used per year as well as their average yearly utilization were expressed in
the table. While the mean consumption shows the average number of tablets or vials
consumed in a year by the sample population (5,400), actual yearly consumption is
the estimated quantity of drugs (expressed in their pack units) consumed in a year by
the whole patient population (108,000) that visit the pharmacy outpatient
department.
For instance, the 439000 tablets of Trifluoperazine consumed yearly at the OPD
pharmacy is arrived at as follows:
Mean yearly consumption for the sample population (5400) = 21944.6 tablets
Then, the consumption for the entire population (108000) = 108000 × 21922.6 = 5400
438892 tablets.
54
Table 3.3 Pattern of Drug consumption at the outpatient pharmacy
S/N DRUG
No of tab/vial consumed in year 1
No of tab/vial consumed in year 2
No of tab/vial consumed in year 3
No of tab/vial consumed in year 4
No of tab/vial consumed in year 5
Mean consumption
Actual yearly consumption*.
1 Trifluoperazine 5mg 25724 26171 22342 19488 15998 21944.6 439 × 1000 2 Benzhexol 5mg 14329 16585 17226 11690 8536 13673.2 273 × 1000 3 Fluphenazinedec 25mg 298 348 301 268 274 297.8 60 × 100 4 Amitriptyline 25mg 24318 24431 26548 26599 18687 24116.6 482 × 1000 5 Chlorpromazine 100mg 18222 17991 19184 14957 11682 16407.2 328 × 1000 6 Haloperidol 5mg 21101 18223 17829 15813 10845 16762.2 335 × 1000 7 Risperidone 2mg 455 461 199 1377 1237 745.8 746 × 20 8 Carbamazepine 200mg 6246 8868 10311 10052 7201 8535.6 171 × 1000 9 Citalopram 20mg 101 346 677 364 317 361 241 × 30 10 Imipramine 25mg 280 1292 1692 1323 671 1051.6 21 × 1000 11 Diazepam 10mg 266 191 135 290 357 247.8 496 × 10 12 Biperiden 5mg 6 8 4 9 10 7.4 30 × 5 13 Fluoxetine 20mg 320 100 345 322 414 300.2 200 × 30 14 Olanzapine 5mg 286 931 212 1704 2023 1031.2 687 × 30 15 Sertraline 50mg 560 324 327 584 424 443.8 296 × 30 16 Flupenthixol 20mg 16 12 19 20 32 19.8 40 × 10 17 Thioridazine 1200mg 658 835 45 196 105 367.8 7 × 1000 18 Paroxetine 20mg 14 2.8 2 × 30 19 Sodium valproate 200mg 1368 1523 1185 3050 2238 1872.8 376 × 100
55
The drugs whose utilization accounted for about 90% of the entire drug use (DU90%) include
Haloperidol, Amitriptyline, Benzhexol, Trifluoperazine, Chlorpromazine and Carbamazepine
(table 3.4). The table also shows the DDD/1000 inhabitants /day for each drug as well as the
actual number of population on the average that consume each drug daily.
Haloperidol was the most utilized drug in the setting with a DDD/ 1000 inhabitants /day of 5
and about 28 patients being placed daily on this drug while the least utilized drug is
paroxetine with DDD/ 1000 inhabitants/ day of 0.001 and about 0.007 patients being on the
drug daily.
56
Table 3.4 Utilization of Psychotropic Drugs expressed as percentages, DDD/1000inhabitants/day and the actual number
of population.
ATC Code Drug
TOTAL NO OF Doses Percentage%
STR (mg)
DDD (mg) DDD/1000/day %POPU
ACTUAL NO OF POPULATION
N06AA09 Amitriptyline * 120583 22.29113442 25 75 4.076339026 0.407633903 22.01223074 N05AB06 Trifluoperazine* 109723 20.28354032 5 20 2.78191047 0.278191047 15.02231654 N05AD01 Haloperidol * 83811 15.49341339 5 8 5.312347876 0.531234788 28.68667853 N05AA01 Chlorpromazine* 82036 15.16528452 100 300 2.773247874 0.277324787 14.97553852 N04AA01 Benzhexol* 68366 12.63823006 5 10 3.466695063 0.346669506 18.72015334 N03AF01 Carbamazepine* 42678 7.889512077 200 1000 0.865644396 0.08656444 4.674479737
93.76111479 N03AG01 Sodium valproate 9364 1.731041546 200 1500 0.126620962 0.012662096 0.683753195 N06AA02 Imipramine 5258 0.972000902 25 100 0.133311022 0.013331102 0.719879518 N05AH03 Olanzapine 5156 0.953145046 5 10 0.26144984 0.026144984 1.411829135 N05AX08 Risperidone 3729 0.68934792 2 5 0.151271754 0.015127175 0.81686747 N06AB06 Sertralline 2219 0.410207304 50 50 0.22504158 0.022504158 1.215224535 N05AC02 Thioridazine 1839 0.339959996 100 300 0.062167863 0.006216786 0.335706462 N06AB04 Citalopram 1805 0.333674711 20 20 0.183055454 0.018305545 0.988499452 N06AB03 Fluoxetine 1501 0.277476865 20 20 0.152225062 0.015222506 0.822015334 N05AB02 Fluphenazinedec 1489 0.275258529 25 1 3.775201817 0.377520182 20.38608981 N05BA01 Diazepam 1239 0.229043195 10 10 0.125654132 0.012565413 0.678532311 N05AF01 Flupentixol 99 0.018301272 20 4 0.050200803 0.00502008 0.271084337 N04AA02 Biperiden 37 0.006839869 5 10 0.001876192 0.000187619 0.010131435 N06AB05 Paroxetine 14 0.002588059 20 20 0.001419821 0.000141982 0.007667032
TOTAL 540946 100
*Drugs that fall within the DU90% segment
57
3.1ADHERENCE DATA PRESENTATION
Characterization of the study subjects: Out of the 200 patients who participated in this study,
the majority were between the ages of 21-30 years and 51% were males, 34% were self
employedand 27.5% were unemployed, more than half of the respondents were single, 61%
had children, close to 50% had secondary education, more than 70% reside in Edo state, 78%
had caregivers at home while 17% of the patients had co morbidity, table 3.5.
58
TABLE 3.5 PATIENT DEMOGRAPHIC CHARACTERISTICS
Patient variables Number of
patients
Percentage
TOTAL 200 100
AGE GROUP
<18 1.0 0.5 18-20 5.0 2.5 21-30 70.0 35.0 31-40 64.0 32.0 41-50 31.0 15.5 51-60 23.0 11.5 >60 6.0 3.0 GENDER Female 98.0 49.0 Male 102.0 51.0 OCCUPATION
Govt. Establishment 10.0 5.0 Private 25.0 12.5 Student 26.0 13.0 Not employed 55.0 27.5 Self employed 68.0 34.0 Others 16.0 8.0 MARITAL STATUS Single 121.0 60.5 Married 60.0 30.0 Separated 10.0 5.0 Widowed 9.0 4.5 HAVE CHILDREN No 123.0 61.5 Yes 77.0 38.5 EDUCATION No formal education 10.0 5.0 Primary 52.0 26.0 Secondary 95.0 47.5 Tertiary 43.0 21.5 STATE OF RESIDENCE Edo 153.0 76.5 Delta 44.0 22.0 Imo 2.0 1.0 Abuja 1.0 0.5 CARE GIVER Yes 156.0 78.0 No 44.0 22.0 CO MOBIDITY Yes 34.0 17.0 No 166.0 83.0
59
Medication treatment compliance behavior: According to the responses from the participants
with regards to the MMAS, 61.5% of them indicated that they took their medication the day
before the interview, whereas 38.5% of the participants did not. Moreover, 64% stated that
they have never cut back nor stopped taking their medication upon feeling that their condition
has worsened or improved. In addition, 52% of the respondents stated that they never forget to
take along their medication when they leave home or travel. Furthermore, the descriptive
statistics part of the table also shows the mean scores of the Morisky’s Medication Adherence
Scale and their standard deviations. From the table, it is observed that the closer the mean
values are to zero for each of the medication taking behavior, the more adherent the patients
are. The Morisky’s adherence scale 7 had the highest percentage adherence (78%, mean value
= 0.22±0.415) while scale 4 had the lowest adherence (52%) with the mean value of
0.48±0.501. Table 3.6
60
TABLE 3.6 DESCRIPTIVE STATISTICS, FREQUENCIES AND PERCENTAGES OF EACH MEDICATION TAKING BEHAVIOR
s/n Morisky’s questions YES NO π S.D
N % N %
1 Do you sometimes forget to take your medication? 118 59 82 41 0.59 ±0.493
2 Over the past two weeks, were there any days when you did not take your medicine? 116 58 84 42 0.58 ±0.495
3 Have you ever cut back or stopped taking your medication without telling your doctor because you felt worse when you took it?
128 64 72 36 0.64 ±0.481
4 When you travel or leave home, do you sometimes forget to bring along your medications? 104 52 96 48 0.52 ±0.501
5 Did you take your medicines yesterday? 123 61.5 77 38.5 0.62 ±0.488
6 When you feel like your illness is under control, do you sometimes stop taking your medicine? 127 63.5 73 36.5 0.64 ±0.483
7 Do you ever feel hassled about sticking to your treatment plan? 156 78 44 22 0.78 ±0.415
8 How often do you have difficulty remembering to take all your medications 106 53 94 47 0.53 ±0.500
Cronbach’s α 6 items = 0.578, items 5 and 8 reverse coded
61
Below, Table 3.7, is the patients’ level of medication adherence. More than half of the
respondents were classified as having low adherence, 36% with moderate adherence
and only 8.5% having high medication adherence level.
TABLE 3.7 LEVEL OF PATIENT ADHERENCE
Level of Adherence Frequency Percentage
Low Adherents 111 55.5
Medium Adherents 72 36.0
High Adherents 17 8.5
Total 200 100
To identify associations between poor adherence and socio-demographic characteristics,
we grouped moderate and good adherents into one and compared with poor adherents.
There were no significant associations with age (p=0.74), gender (p=0.50) employment
status (p=0.09), having children (p=0.97), having a caregiver (p=0.60), marital status
(p=0.87), duration of formal education (p=0.72), or a co-morbidity (p=0.99), Table 3.8
62
Table 3.8: Comparisons of Patients’ Demographic Characteristics with poor medication
adherence
Patient
demographics
Poor Adherence Moderate/Good
Adherence
Statistics
Employment
status Employed Unemployed
96 57
23 24
×2 = 2.845 P = 0.09
Gender Male Female
76 77
26 21
×2 = 0.459 P = 0.50
Has children? No Yes
94 59
29 18
×2 = 0.001 P = 0.974
Age ≤ 40 years ˃ 40 years
108 45
32 15
×2 = 0.107 P = 0.74
Caregiver? No Yes
35 118
9 38
×2 = 0.291 P = 0.60
Co-morbidity? No Yes
127 26
39 8
×2 = 0.01 P = 0.99
Marital status Single Married
92 61
29 18
×2 = 0.037 P = 0.87
Education ≤ 12 years >12 years
121 32
36 11
×2 = 0.132 P = 0.72
63
CHAPTER FOUR
DISCUSSION AND CONCLUSION
4.1 DRUG UTILIZATION
Drug prescription patterns
A prescription provides an insight into aprescriber’s attitude to the disease being treated
and the nature of health care delivery system in the community.106 Using the WHO
prescribing indicators, this study hasprovided a better understanding of theprescribing
practices in the facility beingstudied and has shown areas that needintervention. In the
results shown by this
study, poor quality of pharmacotherapy isreflected. Whereas reference values of 1.6 –
1.8 drugs per encounter were recommendedby the WHO guidelines on rational use of
drugs in the region,108 an average of 2.88 drugs per encounter were prescribed
byclinicians in the facility studied. A closerlook at the pattern reveals that over 50%
ofthe prescriptions had at least 3 drugs. However, highervalues of 3.3 and 3.5 were
reported in studiesdone in some tertiary institutions in Northern Nigeria110,111 while
values of 3.99 and 4.4 had beenreported by workers in Ilorin112 and Benin.106Hogerzeil
and Colleagues had earlierreported much lower figures of 1.3 – 2.2 forBangladesh and
Lebanon respectively.118Polypharmacy,observed in this and other studies across
thedeveloping world, increases the risk of druginteractions and affects
compliance.Literature has shown a linear relationshipbetween the number of drugs
taken andincidence of new hospital admissions peryear due to adverse drug
reactions,inappropriate medication use and mortality.133,134 Other problems associated
with polypharmacy include drug- food interactions and therapeuticduplication errors.
64
Medication adherence canalso be adversely affected leading to poortherapeutic
outcomes.
The WHO expects a 100% prescription by generic name. The high level of generic
prescription observed in this study is a good step in the right direction. Increased
generic prescribing substantially reduces the cost of drugs for the patient and
consequently encourages medication adherence.
Similar higher figures of 75.0 and 99.8 % of generic prescription have been reported
from Bangladesh and Cambodia116 while low values have been reported in Nigeria2,109
and other parts of the world like Ghana,117 Lebanon and Nepal.118A much lower value
of 4.4% was reported in Dubai, in United Arab Emirates.119
This study showed that injections were over prescribedat the Federal Psychiatric
hospital, Benin.The average injection prescribing pattern within thefacility was too high
when comparedto the WHO reference standard108 and the results from previous studies
in Kano(4.0%) and Enugu109 in Nigeria and other countries suchas Tanzania 19%120 and
India 3.9%.121 However the result is lower than the value of 80%obtained by Bosu et
al115 and 71.74% by Babalola et al.30 The high rate of injections use found in this study
however, could be due to the fact that most patients with psychiatric disorders have
been found to be non adherent to their medications,12 therefore depot psychotropic
medications like FluphenazineDecanoate and FlupentixolDecanoate were administered
to these patients to ensure prolonged and sustained antipsychotic cover even in the face
of non adherence to oral medications.
65
The average percentage of encounters with antibiotics found in this study was 3.2%.
This value is lower than the WHO reference point (20.0-26.8%)108 and much lower than
the reports of previous studies in Nigeria- Osun (50.10%)30,Ilorin (45.0 %)112, Benin
City (50.4 %), Kano (67.7 %)110 as well as other countries- Nepal (17.5%)122, Malawi
(34%), Indonesia (43.1%), Bangladesh (25%), and Tanzania (39%).120 This low
antibiotic use is also a pointer to the relative rational prescribing practiced in this
facility and it could also be attributable to the fact that the center is a specialized facility
and therefore, most patients with some other physical ailments that would warrant the
use of antibiotics are appropriately referred to other health care facilities.
Percentage of drugs prescribed from the essential drugList as found by this study was
higher than the average value of84.60% recorded by Melinda et al.123 from his reviewof
previous studies in developing countries.Also, the result is higher than the value from
studies byGuvon et al124(16%) and Hazra et al121(45.70%) but verysimilar to the result
of Babalola et al.30 (94.16), Otoom et al.125(93%) and Bosu et al.115 (97%). Essential
drugslist (EDL) is the list containing drug items essentially usedto treat or manage
common or readily encountereddiseases and/or disorders. Thus the higher
thecompliance with this list, the more rational the drugprescribing pattern. One major
reason for this high percentageof compliance is the availability of the hospital drug
formulary which is adapted from the Essential Drugs List in all the hospital consulting
rooms.
66
Drug Availability
In more than 70% of the prescriptions encountered, all the drugs were available in the
hospital pharmacy. This is, however lower than that reported by IgbiksTamuno from a
study conducted in Kano state, Nigeria where there was about 91.7% drug availability at
the facility studied.109
Drug utilization
The most utilized drugs in the facility studied that fall within the DU90% segment, i.e.
the drugs whose use account for about 90% of all the drugs used in the study site,
include: amitriptyline (22.3%), trifluoperazine (20.3%), haloperidol (15.5%),
chlorpromazine (15.2%), benzhexol (12.6%) and carbamazepine (7.9%). Previous
studies using DU90% method are unavailable; hence, these findings could not be
compared with any previous work.
However, haloperidol was found to be the most prescribed drug because, out of about
60 patients seen in the OPD pharmacy daily, 28 (46.7%) were prescribed haloperidol.
4.2 ADHERENCE
Non-adherence to medication regimens is a seriousproblem. It has many serious effects
on prognosis of theillness and overall effectiveness of health systems.
Nonadherencemay signal that patient and physician differ overgoals and priorities
regarding the treatment and its schedule.126 Non-adherent patients are more severely ill
at thepoint of readmission to hospital, have more frequentreadmissions, are more likely
to be admitted compulsorily,and have longer inpatient stays.127 Increasing the
67
effectivenessof adherence interventions may have a far greater impact onthe health of
the population than any improvement in specificmedical treatments.128
Therefore, information regardingfactors influencing optimal use of medications is
vital.7One of the aims of this study was to determine the levels of adherence among the
outpatients, and also identify patient demographic factors that might impact on
adherence. Assessing medication adherence might lead to a better understanding of
reasonsfor non- adherence in psychiatric patients and lay the groundwork for
interventions aimed at increasing adherence.67
This study finds that over half of patients attending a psychiatry out-patient clinic were
poorly adherent to their medications. The use of a more reliable and validated tool
(MMAS-8) 67 to assess adherence provides strength to the validity of the results. The
lack of an association between socio-demographic and clinical characteristics with poor
adherence may have been limited by the sampling method and the sample size which
limited the study power. This study thus provides more evidence of the magnitude of
medication non-adherence and indicates that multi-disciplinary efforts are needed to
reduce poor adherence to medication rates.
Level of patient adherence to medications
Over half of the patients in this study demonstrated poor adherence. These results do not
differ from previous studies which found high levels (between 50 to 60%) of non-
adherence.129-131In addition, our findings are comparable to that obtained from a study
in South Africa which found 50.6% of patients with moderate adherence and 12.6%
with high adherence level.12 When compared with local studies, the adherence rate in
68
this study is much lower than the over 50% medication adherence identified in a study
by Adelufosi et al136 and about twice lower than that reported by Adewuya et al137 from
a study in southwest Nigeria. The difference in rates may be attributable to the
difference in the psychometric properties of the MMAS-8 which is more reliable
compared to the MMAS-467 which was used in previous studies in Nigeria.
Effects of the patient variables on adherence
The impact of socio-demographic variables such as employment status, having
caregiver, age, gender, occupation, educational status, residential status, marital status
and comobidity on adherence were insignificant. This corroborates the findings in a
study conducted in an outpatient psychiatric setting in Durban, South Africa by Saneleet
al.34 However, a large number of participants (78%) reported that they have caregivers.
Although availability or otherwise of caregivers did not prove to be significantly
associated with adherence in this study, it is important to note that the degree of support
provided by caregivers correlate with a perceived improvement in the prognosis of
mental illnesses.34 Earlier studies have identified social support as one factor that is
consistently associated with outpatient medication adherence.132 The support provided
by caregivers reinforces medication usage, while higher medication usage elicits
supportive behaviors from caregivers and hence leading to what is known as therapeutic
chain of events.132 The lack of a significant relationship between caregiver support and
medication adherence may be attributable to some factors; first the belief systems of the
caregivers may limit their willingness to encourage continuous medication use. Many
lay persons in this environment attribute mental illness to magico-religious factors and
are more willing to encourage the use of recommended treatments by spiritual healers
69
which may conflict with orthodox therapy.39 Secondly, caregivers may not live with the
patients. They may only assist with hospital visits and payments for medicines and thus
do not directly oversee medication adherence. We however did not determine caregiver
relationships which may affect the ability to supervise or encourage medication taking.
For example, a parent may be more persuasive compared to a niece. Perhaps in future
reports this apparent lack of association may be corrected by using an operational
criteria for who a caregiver is.
Forgetfulness is one of the principal factors affecting adherence in the setting studied
because 41% of the respondents reported that they sometimes forgot to take their
medicines, 42% did not take their medicines on some days within the past two weeks
before the interview, 48% of them forget to go along with their medications when the
embark on travel, 38.5% did not take their medicines a day prior to the interview while
almost half of the respondents (47%) reported that they find it difficult remembering to
take their medications. This supports the earlier studies which have related
nonadherence to forgetfulness.34-38Also, 36% of the patients reported to have stopped
taking their medication upon experiencing side effects. This finding is in line with
previous researches which quoted side effects as major barrier to adherence.44-46
4.3 LIMITATIONS OF THE STUDY
Apart from the obvious limitations of a retrospective study, this study has some other
limitations. The prescriptions used in assessing the pattern of prescription were those of
the patients who buy their drugs from the hospital, therefore, the result of this research
70
might not be extrapolated to the prescriptions of such other patients who by choice or
reasons best known to them, do not purchase their drugs in the hospital.
The adherence questionnaire was only served to patients who either understand English
language or whose caregivers do. So the result might not be applicable to those patients
who only speak their native languages.
Again, the study was conducted in one institution; therefore, the result might not apply
to outpatients in other federal Psychiatric Hospitals.
4.4 CONCLUSION
The study found that the prescription pattern at the Federal Psychiatric hospital, Benin
was unsatisfactory, withpolypharmacybeing the major challenge facing clinicians at the
study setting. Haloperidol was the most utilized psychotropic drug.
The level of availability of the key essential drugs in the facility was also not
encouraging with about 30% of the prescribed drugs being sourced outside the hospital.
This study also found that many of the psychiatric outpatients have low adherence level
to their prescribed medications and that medication adherence in the study site was not
influenced by socio-demographic characteristics of the respondents.
71
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