Observational study- Week 4 Flashcards
(44 cards)
Observational study
In observational studies, the investigator measures or records events but does not intervene. Observational studies can answer basic who, what, when and where questions. Observational studies can be divided into descriptive or analytical studies.
Good to generate a hypothesis
Descriptive study designs
Descriptive studies include ecological and case study designs. As the name suggests descriptive study designs describe the data but do not make any inferences about the relationships between the data (e.g. cannot establish association or causation).
Analytical study designs
Analytical study designs will include data analysis that investigates the relationships or associations between independent (exposure) and dependent (outcome) variables. There are three major types of observational analytical study designs:
Cross-sectional studies
Case-control studies
Cohort studies
What is an ecological study?
An ecological study is an observational study in which at least one variable, either exposure or the outcome, is measured at the group (not individual) level. This type of study is appropriate for the initial investigation of the causal hypothesis, although the level of strength is low.
Examples of group-level measures include average UV exposure at a specific geographic location or even mean blood glucose level of patients in a medical clinic
Strengths of ecological study
Useful for generating hypotheses
Compare populations in different places at the same time
Compare the same population at different times
Fast, easy and cheap
Limitation of ecological study
Link between exposure & effect at the individual level can’t be made – may confuse characteristics of group for characteristics of individuals
Be careful of ecological fallacy
Highly susceptible to bias and confounding
Associations not causation
ecological fallacy
An ecological fallacy is seen when inappropriate conclusions are made about individuals from the aggregated data – hence any association observed at a group level does not necessarily mean that the same association exists for a single individual from that group.
What is a case study?
A case study, or case report, is one that reports observations on a single individual. Cases usually include descriptions of events for a person seeking healthcare such as:
unexpected complications unexpected success failure of treatment conditions that present very rarely A case series is an aggregate of individual case studies, usually all receiving the same intervention, with no control group.
Strength and limitation of case study
strength: Identification of rare diseases/exposures which leads to further rigorous studies
Limitation:Selection bias
Confounding
What is a cross-sectional study?
In a cross-sectional study, a defined population is observed at a single point in time or time interval and exposure and outcome are determined simultaneously. Data can be used to assess the prevalence of acute or chronic conditions in a population. It may not always be possible to distinguish whether the exposure proceeded or followed the disease.
Strength of cross sectional study
Measures prevalence (existing cases) of disease
Exposure & Outcome measured at the same time
Data on all variables is only collected once
Can investigate multiple exposures at once
Cheap, inexpensive and easy
Useful for understanding disease etiology and for the generation of hypotheses
LIMITATION
Unable to measure the incidence of disease
Which came first, exposure or effect? Unable to determine
Only a snapshot – the situation may provide differing results if another time-frame had been chosen
Not suitable for studying rare diseases
Interpret associations with caution – difficult to make causal inference
Case-control study
two samples are selected where the patients in one sample have the disease (cases) and the patients in another sample do not have the disease (control).
Then we look back and determine how many from each group have/had the risk factor.
In a case-control study since the risk factors are investigated retrospectively, the study is often called a retrospective study.
Controls = from the same population as cases, but no disease
Often age/gender match cases and control
OR
used to estimate association between exposure and disease in a case control study
Odds ration = odds of being exposed (Case)/ Odds of being exposed (control)
OR>1 the risk factor can be possible cause of the disease
OR<1 Protective factor
OR= 1 no association
Strength of case control study
cheap, easy, fast
Investigates causes of disease – especially rare disease (e.g. Thalidomide)
LIMITATION of case control study
Identifying and enrolling control subjects can be difficult
not good to study rare exposure
Retrospective design: increased probability of recall bias, selection bias and measurement error
What is a cohort study?
A cohort is a group of people who share a common characteristic or experience within a defined time period. Comparison groups may be another cohort of persons thought to have had little or no exposure to the substance under investigation, but otherwise similar. Also, subgroups within the cohort may be compared with each other.
Prospective cohort study
Investigators conceive and design the study, recruit subjects, and collect baseline exposure data on all subjects before any of the subjects have developed any of the outcomes of interest.
Subjects are then followed into the future in order to record the development of any of the outcomes of interest
Start with people free from disease, who are exposed/unexposed to different factors
See how many people develop the disease in each group
STRENGTH of cohort study
Identify the natural history of a disease/disorder: subjects are enrolled and have baseline data collected before any of them develop any of the outcomes of interest
Identify the temporal sequence between cause and outcome
Good for rare exposures and common outcomes
Very rigorous epidemiological design:
Data analysis cannot take place until enough ‘events’ or ‘outcomes’ have occurred
LIMITATION of cohort study
Selection bias Loss to follow-up (exposure status) Insufficient to study rare diseases Expensive and time-consuming Exposed and non-exposed subjects differ on important predictors of outcome
Defining a cohort
Need to be accessible
• Need to be outcome free prior to exposure
• Needs to be some within the group who will potentially be exposed and
thus may present with the outcome
• Need to be some within the group who don’t present with the outcome
Cohort studies do not have to include people who are typical of a
population.
Follow-up of a cohort
• Length needed varies depending on: • Objectives of the study • Outcome(s) being assessed • The longer they go for, the potential for more information but have the problem of loss to follow-up
• Advantages of a cohort study
- Identify the natural history of a disorder
- Identify the temporal sequence between cause and outcome
- Good for rare exposures and common outcomes
- Very rigorous epidemiological design
Limitations of a cohort study
- Selection bias
- Exposed and non-exposed subjects differ on important predictors of outcome
- Insufficient to study rare diseases
- Loss to follow-up (exposure status)
- Expensive and time consuming