Types of epidemiological studies: Descriptive study


descriptive studyDescriptive study includes activities relates to characterizing the distribution of disease within a population. Descriptive studies can yield valuable information about a population's health
status, and they can be used to measure risks and generate hypotheses. It is also useful in health service evaluation and can be used periodically to determine whether a particular service is improving

The type of descriptive study

  • Case reports
  • Case series
  • Cross sectional studies
  • Ecologic studies

Case reports and series

Case report: describes an observation in a single patient.
ª  “I had a patient with a cold who drank lots of orange juice and got better.  Therefore, orange juice may cure colds.”
Case series: same thing as a case report, only with more people in it.
ª  “I had 10 patients with a cold who drank orange juice….”

Cross sectional studies

A cross-sectional study is a descriptive study in which disease and exposure status are measured simultaneously in a given population. Also called a “survey” or “prevalence” study Cross-sectional studies can be thought of as providing a "snapshot" of the frequency and characteristics of a disease in a population at a particular point in time. This type of data can be used to assess the prevalence of acute or chronic conditions in a population.

Research aim of prevalence survey

  • To describe distribution of disease
  • To discovery clue of pathogenesis
  • Be used in secondary prevention
  • To evaluate prevention and cure effect
  • Surveillance of disease
  • Health demand, health project and health policy decision

Describe the distribution of disease or health status by person, place and time, then analyze that which factors are relate to the disease or health status.

Secondary prevention seeks to minimize adverse outcomes of disease through early detection, even before symptoms develop and care is sought. Mammography for early detection of breast cancer in asymptomatic women is an example.

An occupational physician planning a coronary prevention program might wish to know the prevalence of different risk factors in the workforce under his care so that he could tailor his intervention accordingly.