Literature DB >> 11880792

Using telephone interviews to reduce nonresponse bias to mail surveys of health plan members.

Floyd Jackson Fowler1, Patricia M Gallagher, Vickie L Stringfellow, Alan M Zaslavsky, Joseph W Thompson, Paul D Cleary.   

Abstract

OBJECTIVE: To assess the nonresponse bias associated with mail-survey returns and the potential for telephone interviews with nonrespondents to reduce that bias.
METHODS: A mail survey about health care experiences was conducted with samples of 800 members in each of four health plans. Subsequent attempts were made to interview nonrespondents by telephone.
RESULTS: Response rates for the mail surveys averaged 46%; the telephone effort raised the average to 66%. On 17 of 19 measures of health status or need and use of health services, mail respondents were in poorer health and needed more services than interviewed nonrespondents. Thirteen of 36 reports and ratings of health care also differed significantly between the two groups. Based on administrative data, telephone interviews of mail nonrespondents improved the demographic representativeness of the responding samples. Adjusting mail returns to sample population characteristics could not replicate the dual-mode results.
CONCLUSIONS: Returns to mail surveys are likely to be related to survey content and hence are potentially biased. Nonresponse to phone surveys is less directly related to survey content. Telephone interviews with mail nonrespondents not only increase response rates but also can produce less biased samples than mail-only protocols.

Mesh:

Year:  2002        PMID: 11880792     DOI: 10.1097/00005650-200203000-00003

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  37 in total

1.  The effect of different methods of collecting data: mail, telephone and filter data collection issues in utility measurement.

Authors:  Graeme Hawthorne
Journal:  Qual Life Res       Date:  2003-12       Impact factor: 4.147

2.  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

3.  Patterns of unit and item nonresponse in the CAHPS Hospital Survey.

Authors:  Marc N Elliott; Carol Edwards; January Angeles; Katrin Hambarsoomians; Ron D Hays
Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

4.  Influenza vaccination coverage rates in Austria in 2006/07 - a representative cross-sectional telephone survey.

Authors:  Patricia R Blank; Andreas U Freiburghaus; Matthias M Schwenkglenks; Thomas D Szucs; Ursula Kunze
Journal:  Wien Med Wochenschr       Date:  2008

5.  The Pregnancy Risk Assessment Monitoring System (PRAMS): current methods and evaluation of 2001 response rates.

Authors:  Holly B Shulman; Brenda Colley Gilbert; Coi Gl Msphbrenda; Amy Lansky
Journal:  Public Health Rep       Date:  2006 Jan-Feb       Impact factor: 2.792

6.  Incidence of and risk for post-traumatic stress disorder and depression in a representative sample of US Reserve and National Guard.

Authors:  David S Fink; Gregory H Cohen; Laura A Sampson; Robert K Gifford; Carol S Fullerton; Robert J Ursano; Sandro Galea
Journal:  Ann Epidemiol       Date:  2016-02-04       Impact factor: 3.797

7.  What we don't know can hurt us: Nonresponse bias assessment in birth defects research.

Authors:  Paula D Strassle; Cynthia H Cassell; Stuart K Shapira; Sarah C Tinker; Robert E Meyer; Scott D Grosse
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2015-07-14

8.  The Swiss National Vaccination Coverage Survey, 2005-2007.

Authors:  Phung Lang; Hanspeter Zimmermann; Ursula Piller; Robert Steffen; Christoph Hatz
Journal:  Public Health Rep       Date:  2011 Jul-Aug       Impact factor: 2.792

9.  Using predicted Spanish preference to target bilingual mailings in a mail survey with telephone follow-up.

Authors:  Marc N Elliott; David J Klein; Paul Kallaur; Julie A Brown; Ron D Hays; Nate Orr; Alan M Zaslavsky; Megan K Beckett; Sarah Gaillot; Carol A Edwards; Amelia M Haviland
Journal:  Health Serv Res       Date:  2018-11-22       Impact factor: 3.402

10.  Strategies for achieving a high response rate in a home interview survey.

Authors:  Kirsty Kiezebrink; Iain K Crombie; Linda Irvine; Vivien Swanson; Kevin Power; Wendy L Wrieden; Peter W Slane
Journal:  BMC Med Res Methodol       Date:  2009-06-30       Impact factor: 4.615

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