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Predicting risk among non-respondents in prospective studies
European Journal of Epidemiology
|March 1, 1986
Summary
Even with high response rates exceeding 80%, non-response bias can affect employment estimates in chronically disabled patients. Extrapolating data based on response delay offers reliable risk assessment.
Area of Science:
- Rehabilitation Medicine
- Epidemiology
- Health Services Research
Background:
- Follow-up studies are crucial for assessing outcomes in chronically disabled patients.
- Non-response bias is a significant concern that can impact the validity of study findings.
- Previous research suggests response rates above 80% may still harbor bias.
Purpose of the Study:
- To investigate potential non-response bias in a follow-up study of chronically disabled patients.
- To assess the impact of non-response on employment status estimates.
- To explore methods for obtaining reliable estimates despite non-response.
Main Methods:
- A follow-up study of 2,011 chronically disabled patients was conducted.
- Response rates at 6-month and 1-year follow-ups were 82.5% and 73.3%, respectively.
- Employment status of non-respondents was obtained from indirect sources; response delay was analyzed.
Main Results:
- Non-respondents had a lower employment rate than respondents.
- Non-response was associated with age, social class, previous employment, and disability type, but not the outcome.
- Late respondents' employment rates mirrored non-respondents', suggesting bias even with high initial response.
Conclusions:
- Risk estimates can be biased even with response rates over 80%.
- Risk factor prevalence among non-respondents does not reliably indicate the extent of bias.
- Extrapolating respondent data based on response delay provides reliable estimates.
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