Cited by 995Survey Methodology and NonresponseSurvey Sampling and Estimation TechniquesMobile Crowdsensing and Crowdsourcing

Exploring physician specialist response rates to web-based surveys

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Cunningham, Ceara Tess, Quan, Hude, Hemmelgarn, Brenda, Noseworthy, Tom, Beck, Cynthia A, Dixon, Elijah, Samuel, Susan, Ghali, William A +2 more·2015·BMC Medical Research Methodology

Abstract

BACKGROUND: Survey research in healthcare is an important tool to collect information about healthcare delivery, service use and overall issues relating to quality of care. Unfortunately, physicians are often a group with low survey response rates and little research has looked at response rates among physician specialists. For these reasons, the purpose of this project was to explore survey response rates among physician specialists in a large metropolitan Canadian city. METHODS: As part of a larger project to look at physician payment plans, an online survey about medical billing practices was distributed to 904 physicians from various medical specialties. The primary method for physicians to complete the survey was via the Internet using a well-known and established survey company (www.surveymonkey.com). Multiple methods were used to encourage survey response such as individual personalized email invitations, multiple reminders, and a draw for three gift certificate prizes were used to increase response rate. Descriptive statistics were used to assess response rates and reasons for non-response. RESULTS: Overall survey response rate was 35.0%. Response rates varied by specialty: Neurology/neurosurgery (46.6%); internal medicine (42.9%); general surgery (29.6%); pediatrics (29.2%); and psychiatry (27.1%). Non-respondents listed lack of time/survey burden as the main reason for not responding to our survey. CONCLUSIONS: Our survey results provide a look into the challenges of collecting healthcare research where response rates to surveys are often low. The findings presented here should help researchers in planning future survey based studies. Findings from this study and others suggest smaller monetary incentives for each individual may be a more appropriate way to increase response rates.

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Authors
Cunningham, C. T., Quan, H., Hemmelgarn, B., Noseworthy, T., Beck, C. A., Dixon, E., Samuel, S., Ghali, W. A., Sykes, L. L., & Jetté, N.
Affiliations
University of Calgary (CA)
Corresponding author
Cunningham, Ceara Tess
Venue
BMC Medical Research Methodology
Published
2015-04-09
Volume
15
Issue
1
Pages
32-32
ISSN
1471-2288 (ISSN-L)
OpenAlex
W1967747089
Cited by
995
References
48
Citations by year
2026: 65 · 2025: 92 · 2024: 92 · 2023: 108 · 2022: 113 · 2021: 117 · 2020: 126 · 2019: 112 · 2018: 76 · 2017: 54 · 2016: 33 · 2015: 6
FWCI
186.89
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Research Methodology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Alberta Innovates - Health Solutions
  • Alberta Innovates
  • Canadian Institutes of Health Research
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
Keywords
survey response rates, online surveys, online survey participation, nonresponse, financial incentives, survey burden, specialty variation
MeSH terms
Adult, Canada, Female, Health Services Research, Humans, Male, Middle Aged, Physicians, Surveys and Questionnaires, Reimbursement Mechanisms, Chi-Square Distribution, Internet

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