8 principle of epidemiology 11 community medicine
TRANSCRIPT
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8 Community MedicinePrinciple of Epidemiology 11
Methods of Epidemiology
Dr. Siham GritlyUniversity of Bahri
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Epidemiologic methods are used for the identification of risk factors for disease and determination of optimal treatment approaches used in clinical practice
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Methods of Epidemiology
• Epidemiologic methods are used for;
• -the identification of risk factors for
disease
• -and determination of optimal treatment
approaches used in clinical practice.
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• In the study of communicable and chronic
diseases, the work of epidemiologists involves;
• study design,
• data collection
• and statistical analysis
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Epidemiological studies classified in two categories
• 1-observational studies (non experimental studies)
• A) descriptive studies• B) Analytical studies
• 2-experimental studies (intervention studies)• A) Randomized Controlled trial or clinical trail• B) 2-non randomized or non-experimental trials
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1-observational studies
• researcher observes association between exposure and disease, estimates and tests it
• 1-observational studies Include;
• A) descriptive studies
• B) Analytical studies
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A) descriptive studies
• Descriptive studies are usually the first phase
of an epidemiological investigation
• Observing the distribution of disease or health
related characteristics in human population
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• In Descriptive studies questions should be asked such as;
• When is the disease occurring----time distribution
• Where it is occurring------place distribution
• Who is getting the disease----persons distribution
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Procedures in Descriptive studies
• 1-defining the population to be studied
• 2-defing disease under study
• 3-describing the disease by;
• -time
• Place
• Person
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• 4-measurement of disease
• 5-comparing with known indices
• 6-formulation of an aetiological hypothesis
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• 1-defining the population to be studied• Descriptive study are investigation of
population not individual; include total number
• Sex• Age• Occupation• cultural
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• 2-defing disease under study;
• Specified the disease to be investigated
• The main objective to obtain accurate
estimate of disease in a population
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• 3-describing the disease by;
• The main primary objective of descriptive epidemiology
is to describe the occurrence and distribution of disease
by
• Time--
• Place
• person
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• 4-measurement of disease• The information should be available in terms
of• Mortality• Morbidity (incidence and prevalence)• distribution
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• 5-comparing with known indices
• Making comparisons between different
population, this is to ; identify groups who are
at risk for certain diseases
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• 6-formulation of an aetiological hypothesis
• Hypothesis should formulated in a manner that
that it can be tested
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• Hypothesis should specify the following• -the population- the characteristics of the
persons to whom the hypothesis to be applied• -the specific cause being considered• -the expected outcome• -the dose-response relationship• -the time-response relationship (time between
exposure to the cause observed)
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B) Analytical studies
• Analytical studies are the second major type of epidemiological studies
• In contrast to descriptive studies which look for the whole population the analytical studies look for individual within the population
• Main types of observational studies are;• Case control study• Cohort study
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Cohort or follow up
cohort study (prospective) ;
-individual exposed to particular factorsPresence or absence of particular diseaseIndividual unexposed to particular
factors
Typical analytical study designs: Cohort or follow up with individual as a unit of study. An example ; investigation of a cohort of smokers and non-smokers over time to estimate the incidence of lung cancer (prospective) ;
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case-control or case-references
Cases (disease present)
Control (disease absent)
Suspected or risk factors
Individuals with particular disease
Individual without particular disease
case-control or case-references with individual as a unit of study select subjects based on their disease status. It is a retrospective study.-factors present or absent---Observational
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• Cross-sectional or prevalence with individual
as a unit of study
• Ecological or correlation with population as
unit of study
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2-experimental studies or Interventional:
• Experimental studies are of two types• A-Randomized Controlled trial or clinical trail
• B-non randomized or non-experimental trials • -field trials or community intervention studies• -Community trial
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A)-Randomized Controlled trial or clinical trail
• A study design that randomly assigns participants into an experimental group or a control group.
• As the study is conducted, the only expected difference between the control and experimental groups in a randomized controlled trial (RCT) is the outcome variable being studied.
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• Design of randomized control trial;• The protocol; • Selecting reference and experimental population
(make necessary exclusions)• Randomize of two• 1-experimental group• 2-control group• Follow up • assessment
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• Advantages• No population bias
• Results can be analyzed with well known statistical tools
• Populations of participating individuals are clearly identified
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• Disadvantages• Expensive in terms of time and money
• biases: the population that participates may not be representative of the whole
• Does not reveal causation
• Loss to follow-up
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B-Non-randomized controlled trial
• An experimental study in which people are
allocated to different interventions using
methods that are not random.
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Qualitative QuantitativeDefinition a systematic
subjective approach used to describe life experiences and give them meaning
a formal, objective, systematic process for obtaining information about the world. A method used to describe, test relationships, and examine cause and effect relationships.
Goals To gain insight; explore the depth, richness, and complexity inherent in the phenomenon.
To test relationships, describe, examine cause and effect relations
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Qualitative QuantitativeCharacteristic •Soft science
•Focus: complex & broad•Subjective•Basis of knowing: meaning & discovery•Develops theory•Shared interpretation•Communication & observation•Basic element of analysis: words•Individual interpretation•Uniqueness
Hard scienceFocus: concise & narrow
ObjectiveBasis of knowing: cause & effect, relationshipsTests theoryControlInstruments
Basic element of analysis: numbersStatistical analysisGeneralization
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Objective vs Subjective
• Objective is a statement that is completely unbiased.
• It is confirmable by looking up facts or performing mathematical calculations.
• scientific facts are objective as are mathematical proofs; essentially anything that can be backed up with solid data.
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• Subjective is a statement that has been colored by the character of the speaker or writer.
• It often has a basis in reality,
• It cannot be verified using concrete facts and figures
• Subjective : opinions, interpretations, and any type of marketing presentation are all subjective.