BACKGROUND: Non-response may lead to bias in health(care) outcomes. METHODS: We compared respondents (n = 334) to a questionnaire survey among patients with rheumatoid arthritis with non-respondents (n = 68) and determined predictors of (non-)response. The bias in prevalence estimates of health characteristics and health care use was quantified. RESULTS: Self-reported pain and health care utilization were the most important predictors of (non-)response with respondents experiencing pain more often and more often using specific health care services. Bias concerned especially an underestimation of 'never having pain' (60%) and 'no contact with health care services' (51%). CONCLUSION: More insight into the phenomenon of non-response is important to assess disease burden and health care burden more precisely.
BACKGROUND: Non-response may lead to bias in health(care) outcomes. METHODS: We compared respondents (n = 334) to a questionnaire survey among patients with rheumatoid arthritis with non-respondents (n = 68) and determined predictors of (non-)response. The bias in prevalence estimates of health characteristics and health care use was quantified. RESULTS: Self-reported pain and health care utilization were the most important predictors of (non-)response with respondents experiencing pain more often and more often using specific health care services. Bias concerned especially an underestimation of 'never having pain' (60%) and 'no contact with health care services' (51%). CONCLUSION: More insight into the phenomenon of non-response is important to assess disease burden and health care burden more precisely.
Authors: Hilal Maradit Kremers; Elena Myasoedova; Cynthia S Crowson; Guergana Savova; Sherine E Gabriel; Eric L Matteson Journal: Rheumatology (Oxford) Date: 2010-07-13 Impact factor: 7.580
Authors: Timothy S Wells; Isabel G Jacobson; Tyler C Smith; Christina N Spooner; Besa Smith; Robert J Reed; Paul J Amoroso; Margaret A K Ryan Journal: Eur J Epidemiol Date: 2008-01-10 Impact factor: 8.082