Evidence map›Paper›PMID 39849475›Full record

ArticleBMC health services research2025

Lower electronic health record adoption and interoperability in rural versus urban physician participants: a cross-sectional analysis from the CMS quality payment program.

A Jerrod Anzalone, Carol R Geary, Ran Dai, Shinobu Watanabe-Galloway, James C McClay, James R Campbell

Abstract readComparative Study
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Assessing HPV Vaccination Trends and Their Alignment with Evolving Recommendations.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
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  7. The future of follow-up: technology-enabled medical and developmental follow-up care for NICU graduates.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Review
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  10. Ethical considerations for clinical adoption of ambient digital scribe technology.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  11. Article
  12. Gaps in artificial intelligence research for rural health in the United States: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

A Jerrod AnzaloneDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA. alfred.anzalone@unmc.edu.
Carol R GearyDepartment of Pathology, Microbiology, and Immunology, College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
Ran DaiDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
Shinobu Watanabe-GallowayDepartment of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
James C McClayBiomedical Informatics, Biostatistics and Medical Epidemiology, School of Medicine, University of Missouri, Columbia, MO, USA.
James R CampbellDepartment of Internal Medicine, College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.

Funding

UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Joann B. Sweasy · 1985 to 2026
$55.0M
Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2016 to 2025
$42.8M
NCI NIH HHS P30 CA036727NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

backgroundThe Health Information Technology for Economic and Clinical Health Act of 2009 introduced the Meaningful Use program to incentivize the adoption of electronic health records (EHRs) in the U.S. This study investigates the disparities in EHR adoption and interoperability between rural and urban physicians in the context of federal programs like the Medicare Access and CHIP Reauthorization Act of 2015 and the 21st Century Cures Act.

methodsA cross-sectional analysis was conducted using the 2021 Quality Payment Program Experience Report Public Use File to compare EHR adoption and Promoting Interoperability scores (PISs) between urban and rural physician participants. Data were linked with the Certified Health IT Product List to assess certified EHR adoption and interoperability.

resultsThe study included 209,152 physician participants, 12% of whom practiced in rural communities. EHR adoption was significantly higher in urban (74%) than in rural areas (64%). Epic Systems dominated the market in both settings. Multivariable logistic regression indicated lower odds of EHR adoption among rural physicians (OR: 0.79, CI: 0.76-0.82). Rural physicians also had lower PISs (β: -3.5, CI: -4.1 to -3.0). Factors like extreme hardship, small practitioner status, and location in a health professional shortage area significantly impacted EHR adoption and PISs.

conclusionsSignificant disparities exist in EHR adoption and interoperability between rural and urban physicians. These disparities highlight the need for targeted interventions to enhance EHR adoption and interoperability in rural settings to ensure equitable access to healthcare technologies and improved patient outcomes across all communities.

Indexed as

Electronic Health RecordsHealth Information InteroperabilityPhysiciansRural Health ServicesUrban PopulationAdultCenters for Medicare and Medicaid Services, U.S.Cross-Sectional StudiesFemaleHumansMaleMeaningful UseMiddle AgedRural PopulationUnited StatesEHR AdoptionHealthcare DisparitiesInteroperabilityMACRAMeaningful UsePromoting InteroperabilityRural Healthcare

Identifiers

PMID39849475
PMCPMC11755824

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.