Journal of Clinical Epidemiology
Volume 57, Issue 6 , Pages 620-623, June 2004

Female specialists were more likely to respond to a postal questionnaire about drug treatments for Alzheimer disease

  • Mark Oremus

      Affiliations

    • Centre for Clinical Epidemiology and Community Studies, S.M.B.D. Jewish General Hospital, 3755 Cote Ste.-Catherine Road, Montreal, Quebec, Canada H3T 1E2
    • Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada
    • Corresponding Author InformationCorresponding author. Tel.: +1-514-340-8222, x4717; fax: +1-514-340-7564.
  • ,
  • Christina Wolfson

      Affiliations

    • Centre for Clinical Epidemiology and Community Studies, S.M.B.D. Jewish General Hospital, 3755 Cote Ste.-Catherine Road, Montreal, Quebec, Canada H3T 1E2
    • Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada

Accepted 20 November 2003.

Abstract 

Objective

To assess demographic predictors of response for specialists who were mailed a postal questionnaire on drug treatments for Alzheimer disease.

Study design and setting

The questionnaire was sent to 317 specialists in Quebec, Canada. Demographic variables included specialty, urban/rural practice, language, sex, and ‘number of years since receiving a medical license.’ The specialists were stratified according to responder status (i.e., respondent/nonrespondent), and respondents were further stratified as early or late responders. Variables differing between these strata were entered into logistic regression models to see if they predicted response.

Results

Only ‘female sex’ was a predictor of response in the respondent/nonrespondent analysis (OR 2.03; 95% CI 1.17, 3.53). No demographic variables predicted early or late response.

Conclusion

Researchers planning postal questionnaires should target male specialists with modified or additional mailings to increase response and reduce the potential for nonresponse bias. Caution should be exercised when comparing early vs. late responders as a means of assessing nonresponse bias.

Keywords:  Postal questionnaire, Specialist, Demographic variable, Predictor of response, Nonresponse bias, Response rate

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PII: S0895-4356(03)00424-4

doi:10.1016/j.jclinepi.2003.11.008

Journal of Clinical Epidemiology
Volume 57, Issue 6 , Pages 620-623, June 2004