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METHODOLOGY STUDY DESIGN I:STUDY DESIGNS IN MEDICAL RESEARCH
Prof. Dr. Zaleha Md. Isa,
BSc(Hons)Clin. Biochem , PhD (Community Health),
Department of Community Health,
Faculty of Medicine,
Universiti Kebangsaan Malaysia Medical Centre,
Cheras, Kuala Lumpur.
Classification of study designs
1. Observational Studies
2. Experimental Studies
3. Meta-Analysis
Observational Studies
1. Descriptive or case-series
2. Case-control studies (retrospective)
3. Cross-sectional studies, surveys (prevalence)
4. Cohort studies (prospective)
5. Historical cohort studies
Case-series studies A simple descriptive account of interesting
characteristics observed in a group of patients.
Generally involve patients seen over a relatively short period of time and do not include control subjects (persons who do not have the disease or condition being described).
Advantage Easy to conduct and report can be produced faster. The study results are beneficial for researchers who
planned to do research – precursor to other studies.
Disadvantage Easily influenced by bias related to case selection and
characteristics observed.
Case-control studies (retrospective studies) Case-control studies begin with the absence or
presence of an outcome and then look backward in time to try to detect possible causes or risk factors that may have been suggested in a case series report.
The cases are individuals selected on the basis of some disease or outcome; the controls are individuals without the disease or outcome.
The history or previous events of both cases and controls are analyzed in an attempt to identify a characteristic or risk factor present in the cases’ histories but not in the controls’ histories.
Schematic diagram of case-control study design
Cases
Controls
Onset of studyTime
Direction of inquiry
Exposed
Unexposed
Exposed
Unexposed
Compare
Case-control studies Advantages
Suitable to study rare diseases or diseases that occur for a long period of time.
Preferably used to investigate initial hypothesis.
Results can be obtained faster.
Less expensive.
Disadvantages
Too many biases (misclassification of cases and subjects did not remember the risk factors studied).
It depends on the completeness of the existing records.
Case-control studies Matching is used to associate controls with
cases on factors like age and sex;
Example:
Usually two groups are recommended:
1. Group almost similar to cases e.g. patients in hospital.
2. Group that is healthy.
Cross-sectional studies Also known as surveys, epidemiologic studies, and
prevalence studies.
Analyze data collected on a group of subjects at one time rather than over a period of time. “What is happening?”
Advantages
Suitable to determine disease condition at one time.
Suitable to evaluate a diagnosis method.
Results can be obtained quickly.
Not expensive.
Schematic diagram of cross-sectional study design
Subjects selected for the study With outcome
Without outcome
Onset of studyTime
*No direction of inquiry
Cross-sectional studiesDisadvantages
Provide just a temporary picture of a disease –as a consequence, it gives wrong information.
Main problem – to obtain sufficiently large response.
Cohort studies (prospective studies)
A cohort is a group of people who have something in common and who remain part of a group over an extended period of time.
A continuation of case-control study.
Subjects in cohort studies are selected by some defining characteristic (or characteristics) suspected of being a precursor to or risk factor for a disease or health effect. “What will happen?”
Cohort studies (prospective studies)
Cohort population remains the same throughout the study except:
death
migration
lost to follow-up
Dinamic population – individuals can enter and exit the study according to the determined criteria. Fixed population – population must be defined at the onset of the study.
Schematic diagram of cohort study design
Cohort selected
for study
Subjects
(exposed)
Controls
(unexposed)
With
outcome
Without
outcome
With
outcome
Without
outcome
Direction of inquiryOnset of study
time
compare
Historical cohort studies (retrospective cohort study) Historical cohort is a cohort study using
information collected in the past and kept in records or files.
This approach to a study is possible if the records on follow-up are complete and adequately detailed and if the investigators can ascertain the current status of the patients.
The events being evaluated actually occurred before the onset of the study.
Schematic diagram of historical cohort study design
Records selected
for study
Subjects
(exposed)
Controls
(unexposed)
With
outcome
Without
outcome
With
outcome
Without
outcome
Direction of inquiry (still forward)
Onset of study time
Experimental studies or clinical trials Experimental studies in medicine that involve
humans are called clinical trials because their purpose is to draw conclusions about a particular procedure or treatment.
1. Controlled trialsstudies in which the experimental drug or procedure is compared with another drug or procedure, sometimes a placebo and sometimes the previously accepted treatment.
2. Uncontrolled trialsstudies in which the investigators’ experience with the experimental drug or procedure is described, but the treatment is not compared with another treatment.
Experimental studies or clinical trials
1. Experiment – the strongest study design to prove causation (cause & effect).
2. Quasi-experiment (one of the characteristics is missing ie. either no randomization or no control)
Three characteristics of classic experimental design:1. Manipulation
Researcher applied something on a group of subjects in a study.
2. ControlOne or more control groups to compare with experimental group.
3. RandomizationTo assign subjects randomly into the control
and experimental group.
Controlled trials
1. Trials with independent concurrent controls1. Randomized clinical trials
2. Non-randomized trials
2. Trials with self-controls1. Self-controlled study
2. Cross-over study
3. Trials with external controls (historical controls)
4. Uncontrolled studies (quasi-experiment)
Trials with independent concurrent controls
Perform trial on two study groups.
Concurrent controls. Treated the same for both groups. Double-blind trials; blind trials.
Receive the studied
treatment
Receive placebo @
conventional/standard
treatment
group 1
(experimental group)
group 2
(control group)
Randomized clinical trials
The epitome of all research designs because it provides the strongest evidence for concluding causation.
Provides the best insurance that the result was due to the intervention.
Schematic diagram of randomized clinical trial design
Subjects meeting
entry criteria
Experimental subjects
Controls
With
outcome
Without
outcome
With
outcome
Without
outcome
Onset of study TimeIntervention
Non-randomized trials
Do not use randomized assignment.
Open to so many sources of bias that their conclusions are highly questionable.
Self-controlled study
Experimental
group
Control
group
Self-controlled study
Use the same group of subjects for both experimental and control options.
Patients are assessed before and after the intervention.
Advantage – reduce number of subjects –simplify study implementation and save cost.
Disadvantage – vulnerable to Hawthorne effect (people change their behaviour and sometimes improve simply because they receive special attention by being in a study and not because of the study intervention itself).
Cross-over study
A combination of concurrent and self-controls.
One group is assigned to the experimental treatment, and the second group is assigned to the placebo or control treatment.
After a period of time, the experimental treatment and placebo are withdrawn from both groups for a “washout” period. The groups are then given the alternative treatment, the first group now receives the placebo and the second group receives the experimental treatment.
The design is powerful when used appropriately.
Schematic diagram of trial with cross-over.
Subjects
meeting
entry criteria
Experimental
subjects
Controls
With outcome
With outcome
Without outcome
Without outcome
Experimental subjects
Controls
With outcome
With outcome
Without
outcome
Without
outcome
Onset of study Intervention Intervention Washout period
Time
Trials with external controls
Use controls external to the study.
1. The result of another investigator’s research is used as a comparison.
2. The controls are patients the investigator has previously treated in another manner (historical controls).
Schematic diagram of trial with external controls.
Subjects
Results from previous study
(historical)
With
outcome
Without
outcome
With
outcome
Without
outcome
Onset of studyIntervention in subjects only Time
Uncontrolled studies There were no comparisons with patients
treated in another manner.
Disadvantage – investigators assume that the procedure used and described is the best one.
Advantages of clinical trials 1. The gold standard, or reference in medicine.
2. The basic design against which other designs are judged.
3. Provides the greatest justification for concluding causality and is subject to the least number of problems or biases.
4. The best type of study to use when the objective is to establish the efficacy of a treatment or a procedure.
5. Trials in which patients are randomly assigned to different treatments are the strongest design of all.
Disadvantages of clinical trials
1. Great expense and long duration.
2. Certain practices become established and accepted by the medical community, even though they have not been properly justified.
3. Difficulty obtaining approval to perform properly designed clinical trials from the human subjects committees that oversee the ethics of research in many hospitals and research institutions.
Meta-Analysis “Meta” – later and more highly organized.
Meta-analysis used published information from other studies and combines the results so as to permit an overall conclusion.
Meta-analysis is similar to review articles but additionally includes a quantitative assessment and summary of the findings.
Especially appropriate when the studies that have been reported have small numbers of subjects or come to different conclusions.
THANK YOU
1. Dawson-Saunders, B. & Trapp, R.G. 1990. Basic and
Clinical Biostatistics. Prentice-Hall International Inc.
London.
2. Md. Idris Mohd. Nor. 1995. Asas Statistik dan
Penyelidikan, Dewan Bahasa dan Pustaka, Kuala
Lumpur.
3. Elston, R.C. & Johnson, W.D. 1987. Essential of
Biostatistics, F.A. Davis Company, Philadelphia.