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Do Additional Recontacts to Increase Response Rate Improve Physician Survey Data Quality

Bibliographic Data

ID9104396
AuthorsGordon Willis (National Cancer Institute, corresponding author), Gordon B Willis, Tenbroeck Smith (0000-0002-1752-0577, American Cancer Society), Hyunshik J Lee (Westat (United States))
Year2013
Volume51
Issue10
Pages945-948
Publication date2013-10-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3182a5023d
PMID23969583
PMCIDPMC3784997
OpenAlexW2016078070
LanguageEN
Citations received2
References cited9

BACKGROUND: Although response rates for physician surveys have been decreasing, it is not clear whether this trend is associated with an increase in survey nonresponse bias. One means for assessing potential bias is to conduct a level-of-effort analysis that compares data estimates for respondents interviewed during the first recruitment contact to respondents interviewed at later recontact cycles. METHODS: We compared early and later responders within the Survey of Physician Attitudes Regarding the Care of Cancer Survivors with respect to both demographic characteristics and aggregate survey responses to items on survivor care knowledge, attitudes, and practices. RESULTS: Accumulating additional completions across each of 4 respondent contact attempts improved weighted response rates (35.0%, 46.9%, 52.3%, and 57.6%, respectively). However, the majority of estimates for analyzed variables remained relatively unchanged over additional cycles of recontact. CONCLUSIONS: We conclude that additional respondent recontact attempts, especially beyond a single recontact, had little influence on key data distributions, suggesting that these were ineffective in reducing nonresponse bias. Further, the conduct of additional recruitment recontacts was an inefficient means for increasing statistical power. For the conduct of physician surveys, a practice that may in some cases be cost-effective, while also controlling total survey error, is to establish a larger initial sample; to either eliminate nonresponse follow-up or to limit this to one recontact; and to accept a somewhat lower final overall survey response rate

Family medicine · Non-response bias · Quality (philosophy) · Respondent · Response bias · Statistics · Survey data collection · Census and Population Estimation · Demography · Ethics in Clinical Research · Medicine · Psychology · Social Psychology · Survey Methodology and Nonresponse

  • Design and respondent selection of a population-based study on associations between breast cancer screening, lifestyle and quality of life

    Open Access•Tytti Sarkeala, Sirpa Heinävaara et al.•BMC Public Health•2015

  • The effect of multiple recruitment contacts on response rates and patterns of missing data in a survey of bladder cancer survivors 6 months after cystectomy

    Open Access•Joanna E Bulkley, Maureen O’Keeffe-Rosetti et al.•Quality of Life Research•2019

  • Interviewing physicians

    Marc L Berk•American Journal of Public Health•1985

  • Surveying Physicians

    Terry S Field, Cynthia A Cadoret et al.•Medical Care•2002

  • Nonresponse Rates and Nonresponse Bias in Household Surveys

    Robert M Groves•Public Opinion Quarterly•2006

  • Total Survey Error

    Robert M Groves, Lars Lyberg•Public Opinion Quarterly•2010

Citations per year0.18
Citation span2015 - 2019 (5)
Highly citedNo

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