STUDY POPULATIONS AND EXTRACTS
A study population is the group of subjects that the researcher wants to include in their analyses. The subjects usually share at least one common characteristic, which may be as simple as age, or more complex, such as the set of people over the age of 65 with a certain health condition. For example, a cohort may be defined as:
The study population is not the same as the data extract. An extract is the actual data requested for a study population that will help to answer a research question. For example, a researcher may be interested in the number and average length of hospital stays of all individuals in a study population, or in their use of physician services over the preceding two years.
A project may also inlcude more than one study population for comparative purposes, similar to cohort and control groups.
Defining the study population
In the DAR, researchers are requested to provide specific and detailed study population information in addition to a rationale or justification for the study population(s) requested.
For example, researchers might want to look at the use of health services by adolescents over a certain time period. The specifics of this could be very simple, for example, all individuals in BC aged between 13 and 18 in calendar year 2000. A more complex example might be a study population defined as all heart attack patients who received bypass surgery in calendar year 1995. The specifics required here are:
Researcher Liaison staff at Population Data BC then work with the researcher to complete the technical definition for the study population(s), seeking confirmation with the researcher. This support is also built into the process for the DAR which requires that the technical definition be completed by Population Data BC prior to DAR submission. The Data Steward(s) use both the text and the technical definitions in their adjudication.
Researchers will download and complete the appropriate data file checklist(s) and select the fields to be used for analysis.
If a project involves more than one study population each may require a different set of data to be extracted. In this case, separate data extract checklist(s) for each study population may be completed, as applicable.
It is important to remember that researchers need to request the data for their extract, and not the data required to construct a study population, when filling out the data file checklists.