ArticleJournal of the American Medical Informatics Association : JAMIA2024
Impact of response bias in three surveys on primary care providers' experiences with electronic health records.
Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Qualitative Investigation of Primary Care Provider Perspectives on the Assessment and Treatment of Insomnia.Journal of clinical psychology in medical settings · 2026Article
- Developing Content Weights for the 2026 Sports Medicine Blueprint.Journal of the American Board of Family Medicine : JABFM · 2026Article
- Breaking barriers in health surveillance: privacy-preserving techniques for tracking vaccine hesitancy and disease outbreaks in Pakistan.Frontiers in public health · 2026Article
- EHR Interoperability Experiences Reported by Family Physicians.JAMA network open · 2025Article
- EMR usability and patient safety: a national survey of physicians.NPJ digital medicine · 2025Article
- Self-Motion Perception Influences Postural Sway More than Environmental Motion Perception.bioRxiv : the preprint server for biology · 2025Article
- The Evolution of Health Information Technology for Enhanced Patient-Centric Care in the United States: Data-Driven Descriptive Study.Journal of medical Internet research · 2024Article
- Who's Not Talking? Nonresponse Bias in Healthcare Employee Well-Being Surveys.Journal of healthcare management / American College of Healthcare ExecutivesArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectiveTo identify impacts of different survey methodologies assessing primary care physicians' (PCPs') experiences with electronic health records (EHRs), we compared three surveys: the 2022 Continuous Certification Questionnaire (CCQ) from the American Board of Family Medicine, the 2022 University of California San Francisco (UCSF) Physician Health IT Survey, and the 2021 National Electronic Health Records Survey (NEHRS). MATERIALS AND
methodsWe evaluated differences between survey pairs using Rao-Scott corrected chi-square tests, which account for weighting.
resultsCCQ received 3991 responses from PCPs (100% response rate), UCSF received 1375 (3.6% response rate), and NEHRS received 858 (18.2% response rate). Substantial, statistically significant differences in demographics were detected across the surveys. CCQ respondents were younger and more likely to work in a health system; NEHRS respondents were more likely to work in private practice; and UCSF respondents disproportionately practiced in larger academic settings. Many EHR experience indicators were similar between CCQ and NEHRS, but CCQ respondents reported higher documentation burden. DISCUSSION: The UCSF approach is unlikely to supply reliable data. Significant demographic differences between CCQ and NEHRS raise response bias concerns, and while there were similarities in some reported EHR experiences, there were important, significant differences.
conclusionFederal EHR policy monitoring and maintenance require reliable data. This test of existing and alternative sources suggest that diversified data sources are necessary to understand physicians' experiences with EHRs and interoperability. Comprehensive surveys administered by specialty boards have the potential to contribute to these efforts, since they are likely to be free of response bias.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.