Literature DB >> 1496189

Assessing response bias in random-digit dialling surveys: the telephone-prefix method.

P Diehr1, T D Koepsell, A Cheadle, B M Psaty.   

Abstract

Knowledge of the characteristics of survey non-respondents is important to determine generalizability to the population of interest. In a recent random-digit dialling survey of health behaviours only 73 per cent of the households contacted provided any information about household composition, and only 74 per cent of those actually completed the extended interview, for an overall response rate of 54 per cent. To identify possible biases we grouped all attempted phone numbers by their prefix, and looked for the association between the response rate for that prefix and other summary variables known about the prefix. A simulation study showed that the method can identify non-response biases if certain assumptions are correct. The analysis suggested that our survey data under-represent older people and those with a college education. We found no significant biases in health behaviours, possibly because the basic assumptions did not hold. This method may assist in identification of non-response bias in other studies.

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Year:  1992        PMID: 1496189     DOI: 10.1002/sim.4780110803

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

1.  Response rates and response bias for 50 surveys of pediatricians.

Authors:  William L Cull; Karen G O'Connor; Sanford Sharp; Suk-fong S Tang
Journal:  Health Serv Res       Date:  2005-02       Impact factor: 3.402

2.  A demonstration of the impact of response bias on the results of patient satisfaction surveys.

Authors:  Kathleen M Mazor; Brian E Clauser; Terry Field; Robert A Yood; Jerry H Gurwitz
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

3.  Epidemiology of upper gastrointestinal symptoms in Brazil (EpiGastro): a population-based study according to sex and age group.

Authors:  Maria do Rosário Dias de Oliveira Latorre; Aline Medeiros da Silva; Décio Chinzon; Jaime N Eisig; Telma R P Dias-Bastos
Journal:  World J Gastroenterol       Date:  2014-12-14       Impact factor: 5.742

4.  Avoidance and inhibition do not predict nonrespondent bias among patients with inflammatory bowel disease.

Authors:  Rafael J A Cámara; Stefan Begré; Roland von Känel
Journal:  J Epidemiol       Date:  2010-11-13       Impact factor: 3.211

5.  Estimation of Pap-test coverage in an area with an organised screening program: challenges for survey methods.

Authors:  Paolo Giorgi Rossi; Gennaro Esposito; Silvia Brezzi; Angela Brachini; Patrizio Raggi; Antonio Federici
Journal:  BMC Health Serv Res       Date:  2006-03-17       Impact factor: 2.655

  5 in total

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