Literature DB >> 6465127

Nonresponse bias and early versus all responders in mail and telephone surveys.

J Siemiatycki, S Campbell.   

Abstract

Mail and telephone survey methods, with or without follow-up by other methods, are cost-effective alternatives to the conventional home interview approach. However, it has long been thought that they are especially susceptible to nonresponse bias. The study addressed this issue in the context of parallel mail and telephone health surveys carried out in Montreal. The mail strategy among 1,555 adults achieved 68.5% response and follow-up by telephone and home interview increased response to 80.9%. Respondents were adequately representative of the entire sample with respect to socioeconomic status, number of adults in household, and ethnic distribution. The 68.5% initial stage respondents were similar to all respondents on the above variables as well as on age, sex, education and reported health status. Odds ratios of smoking and respiratory symptoms hardly differed between initial stage and all respondents. The telephone survey among 1,595 adults achieved 72.7% response and follow-up by mail and personal interview increased response to 88.2%. Comparisons between respondents and the entire sample and between initial stage respondents and all respondents gave similar results to those found in the mail strategy, although there was some change in a symptom-smoking odds ratio from the initial stage respondents to all respondents. In both survey strategies, there was no evidence of substantial nonresponse bias and estimates of morbidity and health care would not have differed much if the fieldwork had stopped at the initial mail or telephone stage.

Mesh:

Year:  1984        PMID: 6465127     DOI: 10.1093/oxfordjournals.aje.a113892

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  24 in total

1.  National health surveys by mail or home interview: effects on response.

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Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

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5.  Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs.

Authors:  Nicole M Mealing; Emily Banks; Louisa R Jorm; David G Steel; Mark S Clements; Kris D Rogers
Journal:  BMC Med Res Methodol       Date:  2010-04-01       Impact factor: 4.615

6.  Prevalence of spondyloarthropathies in France: 2001.

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Journal:  Ann Rheum Dis       Date:  2005-04-07       Impact factor: 19.103

7.  Are drivers with CVD more at risk for motor vehicle crashes? Study of men aged 45 to 70.

Authors:  R Guibert; L Potvin; A Ciampi; J Loiselle; L Philibert; E D Franco
Journal:  Can Fam Physician       Date:  1998-04       Impact factor: 3.275

8.  Health assessment of self-employed in the food service industry.

Authors:  Marina Grégoris; Frédéric Deschamps; Julie Salles; Stéphane Sanchez
Journal:  Int J Occup Environ Health       Date:  2018-05-03

9.  Improving response rates through incentive and follow-up: the effect on a survey of physicians' knowledge of genetics.

Authors:  E S Tambor; G A Chase; R R Faden; G Geller; K J Hofman; N A Holtzman
Journal:  Am J Public Health       Date:  1993-11       Impact factor: 9.308

10.  Health and demographic characteristics of respondents in an Australian national sexuality survey: comparison with population norms.

Authors:  D M Purdie; M P Dunne; F M Boyle; M D Cook; J M Najman
Journal:  J Epidemiol Community Health       Date:  2002-10       Impact factor: 3.710

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