Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.
TLDR
It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study and the potential effects of nonresponse bias should be considered both before and after survey administration.Abstract:
Objective: To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias. Study Design: A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post-data collection techniques that researchers should consider. Principal Findings: Response rates are an incomplete assessment of survey data quality and quick reactions to response rate should be avoided. Based on a five-question decision making framework we offer potential ways to assess nonresponse bias along with a description of the advantages and disadvantages to each. Conclusions: It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates.read more
Citations
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CKD Prevalence Varies across the European General Population
Katharina Brück,Vianda S. Stel,Giovanni Gambaro,Stein Hallan,Henry Völzke,Johan Ärnlöv,Mika Kastarinen,Idris Guessous,José Vinhas,Bénédicte Stengel,Hermann Brenner,Jerzy Chudek,Solfrid Romundstad,Charles R.V. Tomson,Alfonso Otero Gonzalez,Aminu K. Bello,Jean Ferrières,Luigi Palmieri,G Browne,Vincenzo Capuano,Wim Van Biesen,Carmine Zoccali,Ron T. Gansevoort,Gerjan Navis,Dietrich Rothenbacher,Pietro Manuel Ferraro,Dorothea Nitsch,Christoph Wanner,Kitty J Jager +28 more
TL;DR: In this paper, the authors collected data from 19 general-population studies from 13 European countries and investigated international variation in CKD prevalence by age, sex, and presence of diabetes, hypertension, and obesity.
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Improving response rates and evaluating nonresponse bias in surveys: AMEE Guide No. 102
TL;DR: This AMEE Guide explains response rate calculations and discusses methods for improving response rates to surveys as a whole and to questions within a survey (item nonresponse).
Journal ArticleDOI
Nonresponse rates are a problematic indicator of nonresponse bias in survey research
TL;DR: It is nonresponse bias that is the focus of this editorial and it is also the subject of the paper by Halbesleben and Whitman (2013) that this editorial accompanies.
Journal ArticleDOI
Does Self-Selection Affect Samples’ Representativeness in Online Surveys? An Investigation in Online Video Game Research
Yasser Khazaal,Mathias Van Singer,Anne Chatton,Sophia Achab,Daniele Fabio Zullino,Stéphane Rothen,Riaz Khan,Joël Billieux,Gabriel Thorens +8 more
TL;DR: The results suggest that more proficient players or players more involved in the game may be more likely to participate in online surveys, and caution is needed in the interpretation of studies based on online surveys that used a self-selection recruitment procedure.
Journal ArticleDOI
Sexual Minorities in England Have Poorer Health and Worse Health Care Experiences: A National Survey
Marc N. Elliott,David E. Kanouse,Q. Burkhart,Gary A. Abel,Georgios Lyratzopoulos,Megan K. Beckett,Mark A. Schuster,Martin Roland +7 more
TL;DR: In the 2009/2010 English General Practice Patient Survey, the survey was mailed to 556 million randomly sampled adults registered with a National Health Service general practice (representing 99% of England's adult population) In all, 2.169,718 people responded (39% response rate), including 27,497 people who described themselves as gay, lesbian, or bisexual as mentioned in this paper.
References
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A demonstration of the impact of response bias on the results of patient satisfaction surveys.
TL;DR: Simulation results suggest response bias could lead to overestimation of patient satisfaction overall, with this effect greatest for physicians with the lowest satisfaction scores, threatening the validity of provider-level comparisons.
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TL;DR: In this field study, population profiling was introduced to examine general and specific classes of nonresponse to a satisfaction survey to find nonresponse bias does not appear to be a substantive concern for satisfaction type variables--the typical core of an organizational survey.
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'So much post, so busy with practice--so, no time!': a telephone survey of general practitioners' reasons for not participating in postal questionnaire surveys.
TL;DR: GPs were most likely to respond to postal surveys that had a high interest factor, that involved localized research relevant to general practice, and that incorporated a personalized approach by researchers, including good-quality explanatory information.
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Factors that influence nurses' job satisfaction
TL;DR: If administrators identify factors influencing RNs’ job satisfaction in hospitals and implement strategies to address these factors, RN turnover rates will decrease and recruiting and retention rates will increase.
Journal ArticleDOI
Using telephone interviews to reduce nonresponse bias to mail surveys of health plan members.
Floyd J. Fowler,Patricia M. Gallagher,Vickie L. Stringfellow,Alan M. Zaslavsky,Joseph W. Thompson,Paul D. Cleary +5 more
TL;DR: Returns to mail surveys are likely to be related to survey content and hence are potentially biased, but telephone interviews of mail nonrespondents can produce less biased samples than mail-only protocols.