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Predicting risk among non-respondents in prospective studies

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Abstract

Potential non-response bias was investigated in a follow-up study of 2,011 chronically disabled patients. 82.5% and 73.3% of the study subjects responded to self-administered mail questionnaires respectively at 6-month and 1-year follow-up. Information on employment status, the outcome of interest, of approximately 90% of the non-respondents was obtained from indirect sources. Employment rate was lower among the non-respondents than the respondents. Non-response was associated with age, social class, previous employment record, and the type of disability; but none of these characteristics were associated with the outcome. Out of the five known independent risk factors for unemployment, only one (incompletion of rehabilitation course) was associated with non-response. The employment rate among the respondents was also assessed according to the delay in response, that is the number of reminders sent to achieve response. The outcome among- the late respondents was similar to that among the nonrespondents. These data suggest that (a) risk estimates may be biased even when the response rate is greater than 80%, (b) the prevalence of risk factors among non-respondents may not indicate the presence or the degree of non-response bias, but (c) reliable estimates can be obtained from extrapolations of the rates among the respondents according to the delay in response.

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References

  1. Barton, J., Bain, C., Hennekens, CH., Rosner, B.Belanger, C., Roth, A. and Speizer, F.E. (1980): Characteristics of respondents and non-respondents to a mailed questionnaire. - Am. J. Pub. Hlth., 70: 823–825.

    Google Scholar 

  2. Clausen, J.A. and Ford, R.N. (1947): Controlling bias in mail questionnaires. - J. Am. Stat. Assoc., 42: 497–511.

    Google Scholar 

  3. Cochrane, A.L. (1951): Occupational and domiciliary factors in pulmonary tubercolosis. In: Medical Research Council. The application of scientific methods to industrial and service medicine. - HMSO, London.

    Google Scholar 

  4. Criqui, M.H. (1979): Response bias and risk ratios in epidemiologic studies. - Am. J. Epidemiol., 109: 394–399.

    Google Scholar 

  5. Criqui, M.H., Barrett-Connor, E. and Austin, M. (1978): Differences between respondents and nonrespondents in population-based cardiovascular disease study. - Am. J. Epidemiol., 108: 367–372.

    Google Scholar 

  6. Ellis, R.A., Endo, C.M. and Armer, J.M. (1970): The use of potential non-respondents for studying nonresponse bias. - Pacific. Sociol. Rev., 13: 130–139.

    Google Scholar 

  7. Greenland, S. (1977): Response and follow-up bias in cohort studies. - Am. J. Epidemiol., 106: 184–187.

    Google Scholar 

  8. Hill, A.B. (1951): General principles of field surveys. In: Medical Research Council. - The application of scientific methods to industrial and service medicine. - HMSO, London.

    Google Scholar 

  9. MacMahon, B. and Pugh, T.F. (1970): Epidemiology: Principles and methods. - Little, Brown and Co., Boston.

    Google Scholar 

  10. Mausner, J.S. and Kramer, S. (1985): Epidemiology: An introductory text. - W.B. Saunders Co., Philadelphia.

    Google Scholar 

  11. Menotti, A. (1978): Incidence in non-respondents. In: Holland, W.W. and Karhausen, L. (eds.). Health care and epidemiology. - H. Kimpton Publishers., London.

    Google Scholar 

  12. Seltzer, C.C., Bosse, R. and Garvey, A.J. (1975): Mail survey response by smoking status. - Am. J. Epidemiol., 100: 453–457.

    Google Scholar 

  13. Sheikh, K. and Mattingly, S. (1981): Investigating non-response bias in mail surveys. - J. Epidemiol. Community Hlth., 35: 293–296.

    Google Scholar 

  14. Sheikh, K. and Mattingly, S. (1982): Does the type of disabling impairment influence return to work.- Pub. Hltb., 96: 238–242.

    Google Scholar 

  15. Sheikh, K. and Mattingly, S. (1984): Employment rehabilitation: outcome and prediction. - Am. J. Ind. Med., 5: 383–393.

    Google Scholar 

  16. Sims, A.C. (1973): Importance of a high tracing-rate in long-term medical follow-up studies. - Lancet, 2: 433–435.

    Google Scholar 

  17. Tagliacozzo, R. and Vaughn, S. (1982): Stress and smoking in hospital nurses. - Am. J. Pub. Hlth., 72: 441–448.

    Google Scholar 

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Sheikh, K. Predicting risk among non-respondents in prospective studies. Eur J Epidemiol 2, 39–43 (1986). https://doi.org/10.1007/BF00152716

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