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Effect of numbering of return envelopes on participation, explicit refusals, and bias: experiment and meta-analysis.

Authors :
Perneger, Thomas V.
Cullati, Stéphane
Rudaz, Sandrine
Agoritsas, Thomas
Schmidt, Ralph E.
Combescure, Christophe
Courvoisier, Delphine S.
Source :
BMC Medical Research Methodology. 2014, Vol. 14 Issue 1, p1-15. 15p. 2 Diagrams, 3 Charts, 1 Graph.
Publication Year :
2014

Abstract

Background Tracing mail survey responses is useful for the management of reminders but may cause concerns about anonymity among prospective participants. We examined the impact of numbering return envelopes on the participation and the results of a survey on a sensitive topic among hospital staff. Methods In a survey about regrets associated with providing healthcare conducted among hospitalbased 10doctors and nurses, two randomly drawn subsamples were provided numbered (N = 1100) and non-numbered (N = 500) envelopes for the return of completed questionnaires. Participation, explicit refusals, and item responses were compared. We also conducted a meta-analysis of the effect of questionnaire/envelope numbering on participation in health surveys. Results The participation rate was lower in the "numbered" group than in the "non-numbered" group (30.3% vs. 35.0%, p = 0.073), the proportion of explicit refusals was higher in the "numbered" group (23.1% vs 17.5%, p = 0.016), and the proportion of those who never returned the questionnaire was similar (46.6% vs 47.5%, p = 0.78). The means of responses differed significantly for 12 of 105 items (11.4%), which did not differ significantly from the expected frequency of type 1 errors, i.e., 5% (permutation test, p = 0.078). The meta-analysis of 7 experimental surveys (including this one) indicated that numbering is associated with a 2.4% decrease in the survey response rate (95% confidence interval 0.3% to 4.4%). Conclusions Numbered return envelopes may reduce the response rate and increase explicit refusals to participate in a sensitive survey. Reduced participation was confirmed by a meta-analysis of randomized health surveys. There was no strong evidence of bias. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712288
Volume :
14
Issue :
1
Database :
Academic Search Index
Journal :
BMC Medical Research Methodology
Publication Type :
Academic Journal
Accession number :
94481062
Full Text :
https://doi.org/10.1186/1471-2288-14-6