making sense of mixed methods design in health research

31
Making Sense of Mixed Methods Design in Health Research: Reconciliation of the Findings in the Study of the Doctors’ Decision Making Process in Engaging Male Patients in Health Checks Tong SF (PhD) Department of Family Medicine, Faculty of Medicine UKM Low WY (PhD) Faculty of Medicine, UM https://www.researchgate.net/publication/ 296486855_Making_Sense_of_Mixed_Method_Design_in_Health_Research_Reconcilia tion_of_the_Findings_in_a_Study_of_the_Doctors %27_Decision_Making_Process_in_Engaging_Male_Patients_in_Health_Checks Full text is available at:

Upload: department-of-family-medicine-universiti-kebangsaan-malaysia

Post on 14-Apr-2017

145 views

Category:

Health & Medicine


1 download

TRANSCRIPT

Making Sense of Mixed Methods Design in Health Research:

Reconciliation of the Findings in the Study of the Doctors’ Decision Making Process in

Engaging Male Patients in Health ChecksTong SF (PhD)Department of Family Medicine, Faculty of Medicine UKM

Low WY (PhD)Faculty of Medicine, UM

https://www.researchgate.net/publication/296486855_Making_Sense_of_Mixed_Method_Design_in_Health_Research_Reconciliation_of_the_Findings_in_a_Study_of_the_Doctors%27_Decision_Making_Process_in_Engaging_Male_Patients_in_Health_Checks

Full text is available at:

Mixed methods: what it is?

“mixed methods research is the type of research in which a researcher or team of researchers combines elements of qualitative and quantitative research approaches for the broad purpose of breadth and depth of understanding and corroboration”

Jonson, Onwuegbuzie and Turner, 2007

Current uses (purpose) of mixed methods

• Triangulation (tap on the strength of each method)

• Provides a better understanding• Exploratory concept• Explanatory concept

understanding human phenomena

Creswell, 2009

Webb et al 1996

Plano Clark, Creswell, 2007

The beginning of mixed methods

• Evolves from a single study using multi-trait or multi-method research – 1959 by Campbell & Fiske

• Started off as mixing of methods– Later, the debates focus on the validity of findings,

missing philosophical underpinning interpretation of findings

(sense making)

The debate on mixed methods

It is about researchers’ worldview The 2 contradicting worldviews are incompatible and

incommensurable. Trapped in these two paradigm (Symonds, 2008)

Quantitative Qualitative Objective reality that is observable and discoverable

Multiple reality as constructed by society

Post-positivist Constructivist Objective Interpretive Distancing researchers from researched

Researchers actively contribute to data, analysis, results and interpretation

Further development to reconcile the debate

• Need to have philosophical assumptions that guide the direction of data collection and analysis(Bryman, 1984; Sale, 2002; Creswell and clark 2007; Biesta, 2010)

– Guide researcher on what is researchable – Anchor the interpretation of results

Pragmatism

• Pragmatism: American philosophy

• Focus on the purpose of the research and its practicality (Tashakkori & Teddlie, 1998; Nastasi & Hitchcock & Brown, 2010; Biesta, 2010)

Pragmatism

Knowledge • is regarded both as constructed and as a function of a

people environment interaction• is meaningful if there is a practical consequence to it

(Biesta, 2010; Greene, 2010)

The practicality was not highlighted in the traditional debates about

ontology and epistemology(positivist vs constructivist)

Purpose & Assumptions

Purpose of the study

Lived-experience

Social processes – theory building

Representativeness in a population

Methods (comes with assumptions)

Phenomenology

GTM

Quantitative

It is from the assumptions that we draw and limit our inferences – avoiding over claiming

The fundamental assumptions

• qualitative approach is individualistic where the findings are rich in explaining a phenomenon of interest in an individual context

purpose: to infer the findings to the understanding of an individual (or a phenomenon)

• quantitative approach is normative where the findings represent an average pattern of a phenomenon of interest in a population

purpose: to infer the findings to a population

This presentation:

• To demonstrate logic reconciliation of study findings from two methods with different assumptions with an example

Doctors’ Decision Making Process in Engaging Male Patients in Health Checks

Background of the study

Net

herla

nds

Aust

ralia

Sing

apor

e

Japa

n

Cana

da

New

Zea

land

Uni

ted

King

dom

Belg

ium

Den

mar

k

USA

Chin

a

Arge

ntina

Mal

aysia

Braz

il

Indo

nesia

Bang

lade

sh

Indi

a

Bhut

an

Cam

bodi

a

Russ

ian

Uga

nda

Uni

ted

Tanz

ania

Afgh

anist

an

0

100

200

300

400

500

600

Male

Female

Adul

t mor

talit

y ra

te (p

er 1

,000

pop

ulati

on)

World Health Statistics 2010

Disease burden of Malaysian men

20%

13%

10%

8%7%6%

5%4%

4%4%

19%

Disability adjusted life years (DALYs) by disease categories, male, Malaysia, 2000

Cardiovascular diseasesUnintentional injuiriesInfectious diseasesMental disordersRespiratory disordersCancerSense organ disordersRespiratory infectionsPerinatal conditionsDigestive system disordersOthers

Ministry of health, Malaysia 2004

•Many of the illness can be treated or prevented • Primary care doctors have a role of engaging male

patients into health care

Objectives (purpose) of the studyTo develop an explanatory model of the process of how primary care doctors (PCDs) make the decision to undertake men’s health check-ups in Malaysia

1. First, it aims to identify the determinants and process of individual doctors’ decision making.

2. Second, to quantify the average impact of each determinant, and rank its average significance on the decision-making processes among Malaysian PCDs.

Study design

Phase I: Grounded theory:

development of a substantive theory

Theoretical framework

Phase II: Quantitative survey with multivariate

analysis

Conceptual framework

Questionnaire

Qualitative

Quantitative

Interpretation of findings from

phase I and II

Areas where mixing occurs

The overall design of sequential exploratory mixed methods

Study design

Phase I: Grounded theory:

development of a substantive theory

Theoretical framework

Phase II: Quantitative survey with multivariate

analysis

Conceptual framework

Questionnaire

Qualitative

Quantitative

Interpretation of findings from

phase I and II

Areas where mixing occurs

The overall design of sequential exploratory mixed methods

Interest at individual level

Interest at population level

Results: a brief account

Negotiating health check-

up

Weighing the medical

importance of men’s health

check-up

Competency in undertaking

health check-up

Considering external factors

Weighing men’s

receptivity

Balancing between

men’s receptivity

and medical importance

Perceived doctor’s image to men

Perception of men’s help seeking behaviour

Physician’s philosophy of health promotional activity

Topic for health check-up: •Defining the scope of men’s health

Substantive theoretical model of the doctor’s decision making to engage men in health check-ups

Intention to initiate health

check-up

Agenda for visits

core category

Tong , Low, Willcock, Trevana, Shaiful, 2010

Intention to initiate check-ups in the specific topic of men’s health within the specific context

Perceived personal competency

Perceived men’s receptivity in specific topic

Attitude towards the medical importance of a specific topic of men’s health

Perceived receptivity in specific topic and specific context

Perceived external barriers to men’s health check-ups

Perceived men’s help seeking behaviour

Attitude towards the medical importance of health check-ups in general

Attitude towards the medical importance of men’s health check-ups

Conceptual framework in phase II: the doctors’ decision making process of whether to initiate men’s health check-ups

Male patient’s receptivity

Medical importance

Areas of men’s health concern Context of consultation

Cardiovascular risk screening Acute minor complaint

Follow-upHealth check-up

Asking about sexual dysfunction Acute minor complaint Follow-upHealth check-up

Psychosocial health assessment Acute minor complaint Follow-upHealth check-up

Asking about smoking habit Acute minor complaint Follow-upHealth check-up

Discussing colon cancer screening Acute minor complaint Follow-upHealth check-up

Total doctors invited‡, n= 280

Participated, n=12 (80.0%)

KL/Sel*, n=143Kelantan, n=15

Public sector, n=122Private sector, n=158

KL/Sel*, n=98Kelantan, n=24

Participated, n=86 (59.4%)

Participated, n=19 (79.2%)

Participated, n=81 (82.7%)

Overall doctors’ response rate:

70.4%

Response to the process of doctor recruitment

Table 1 Summary statistics for usefulness of the models in explaining doctors’ intention to initiate health check-ups and their significant determinants Topic of men’s health check-ups

Contexts of consultation

R2 /

Nagelkerke R2 Significant determinants arranging, from the left to right, in descending order of importance β β β β

Cardiovascular risk screening

Acute minor complaint

0.293 Receptivity‡ 0.331 Male patients’ HSB†

-0.227 Male patients’ expectation

0.193 Referral network

-0.152

Follow-up 0.276 Receptivity‡ 0.267 Male patients’ HSB†

-0.237 Attitudes towards HCKǁ

0.195 Male patients’ comfort

0.168

Health check-up 0.252 Attitudes§ 0.231 Receptivity‡ 0.183Asking about sexual dysfunction

Acute minor complaint

0.132 Receptivity‡ 0.237

Follow-up 0.316 Receptivity‡ 0.806 Competency¶ 0.482 Male patients’ HSB†

-0.413 Cost constraint

-0.399

Health check-up 0.205 Competency¶ 0.383 Receptivity‡ 0.288

Psychosocial health assessment

Acute minor complaint

0.219 Receptivity‡ 0.312 Attitudes§ 0.199

Follow-up 0.261 Attitudes§ 0.303 Receptivity‡ 0.224Health check-up 0.247 Attitudes§ 0.346

Asking about smoking habit

Acute minor complaint

0.245 Receptivity‡ 0.651 Male patients’ HSB†

-0.217

Follow-up 0.258 Receptivity‡ 0.389 Referral network 0.353 Attitudes towards HCKǁ

0.292 Clinic system -0.262

Health check-up 0.339 Receptivity‡ 0.720 Referral network 0.456 Attitudes§ 0.276

Discussing colon cancer screening

Acute minor complaint

0.078 * Receptivity‡ 0.198

Follow-up 0.097 * - -Health check-up 0.210 Competency¶ 0.415 Referral network -0.214

* p > 0.05‡ Perceptions of male patients’ receptivity to the assessment in the corresponding context§ Attitudes towards the medical importance of proactive assessment † Perceptions of male patient’s help-seeking behaviour in relation to health check-ups

Attitudes towards medical importance of health check-upsǁ¶ perceived personal competency in the management or assessment

Topic Contexts of consultationSignificant determinants:More important Less important

Cardiovascular risk screening

Acute minor complaint Receptivity Male patients’ HSB† Male patients’ expectation

Referral network

Follow-up Receptivity Male patients’ HSB Attitudes towards HCK

Male patients’ comfort

Health check-up Attitudes ReceptivityAsking about sexual dysfunction

Acute minor complaint ReceptivityFollow-up Receptivity Competency Male patients’

HSBCost constraint

Health check-up Competency ReceptivityPsychosocial health assessment

Acute minor complaint Receptivity AttitudesFollow-up Attitudes ReceptivityHealth check-up Attitudes

Asking about smoking habit

Acute minor complaint Receptivity Male patients’ HSBFollow-up Receptivity Referral network Attitudes

towards HCKClinic system

Health check-up Receptivity Referral network AttitudesDiscussing colon cancer screening

Acute minor complaint ReceptivityFollow-up -Health check-up Competency Referral network

Comparing the findings from the two methods

GTM Survey with multivariate analysis Perceived receptivity health seeking behaviour receptivity to topics of men’s health in a receptivity at specific context

Perceived medical importance Topic related Attitude about men’s health check

External barriers: Cost constraint Network support Time constraints Conducive clinic system Privacy

Competency in handling men’s health issue

Perception of receptivity Health seeking behaviour 3/15 models

in a specific context: 12/15 models

Attitudinal concept: 7/15 models

Cost constrain 1/15 models Referral network 3/15 models

clinic system 1/15 models

Perceived competency: 3 /15 models

Issues in comparing the two results

• Why is there a discrepancy?– Which are the important determinants?– Which one do we trust?– Which is more valid?

The answer: Which perspective are we coming from?

The fundamental assumptions

• qualitative approach is individualistic where the findings are rich in explaining a phenomenon of interest in an individual context

purpose: to infer the findings to the understanding of an individual (or a phenomenon)

• quantitative approach is normative where the findings represent an average pattern of a phenomenon of interest in a population

purpose: to infer the findings to a population

A revisit to slide 10

The relevance of quantitative findings: understanding Malaysian PCDs

Most would think perception of receptivity to discuss men’s health determines their decision to engage them with health checks

Combining the two

• They simply explain two different phenomena

• Helping a doctor: understand him/her as an individual PCD

• Helping to draft a policy/group interventions: understand what most PCDs think

Conclusion

• Mixed methods: what is the purpose and phenomena of interest.

• Assumptions must be acknowledged • Appropriate inference depends on the rigor of

methodology and interpretation of findings• Correct inference leads to appropriate

practical solution