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Hospital versus population referents in two case-referent studies
Scandinavian Journal of Work, Environment & Health
|February 1, 1987
Summary
Choosing hospital versus population referents in case-referent studies impacts bias. Hospital referents showed less selection bias, though both groups had underreporting and higher nonresponse in population referents.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Case-referent studies are crucial for investigating disease etiology.
- The selection of appropriate referent groups (hospital-based vs. population-based) is critical and can introduce systematic errors.
- Potential biases include nonresponse, information bias, and selection bias.
Purpose of the Study:
- To compare hospital-based and population-based referents in case-referent studies.
- To evaluate potential sources of systematic errors, specifically selection and information bias, between the two referent types.
- To inform the choice of referent group in epidemiological research.
Main Methods:
- Two case-referent studies (astrocytoma and pancreatic cancer) utilized both hospital and population referents.
- Systematic errors were assessed by comparing reported exposures between the two referent series.
- Analyses included comparisons of 'hard' and 'soft' questionnaire items and validation against medical records.
Main Results:
- Significant differences in reported exposures were observed between hospital and population referents.
- These differences were attributed primarily to selection bias, reflecting differing exposure experiences, rather than information bias.
- Similar exposure discrepancies were noted for both 'hard' and 'soft' questionnaire items, and when comparing reported versus recorded radiographs.
- Nonresponse rates were slightly higher in the population referent group.
Conclusions:
- Hospital referents may be less prone to selection bias compared to population referents in case-referent studies.
- Both referent types exhibit underreporting of exposure, highlighting the need for careful data collection.
- The findings suggest that selection bias is a more significant concern than information bias when choosing between hospital and population referents.