Evidence map›Paper›PMID 36255725›Full record

ArticleJAMA network open2022

Association Between Electronic Health Record Time and Quality of Care Metrics in Primary Care.

Lisa S Rotenstein, A Jay Holmgren, Michael J Healey, Daniel M Horn, David Y Ting, Stuart Lipsitz, Hojjat Salmasian, Richard Gitomer, David W Bates

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
11.8field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
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  13. Primary care staff members' experiences with managing electronic health record inbox messages.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  14. National trends in oncology specialists' EHR inbox work, 2019-2022.Journal of the National Cancer Institute · 2025
    Article
  15. Article
  16. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Review
  17. Observational
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  19. Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  20. 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

9 authors at 2 institutions in 1 country.

Lisa S RotensteinDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
A Jay HolmgrenDivision of Hospital Medicine, Department of Medicine, University of California at San Francisco.
Michael J HealeyDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Daniel M HornHarvard Medical School, Boston, Massachusetts.
David Y TingHarvard Medical School, Boston, Massachusetts.
Stuart LipsitzDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Hojjat SalmasianDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Richard GitomerDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
David W BatesDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Harvard University · USBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Physicians across the US spend substantial time working in the electronic health record (EHR), with primary care physicians (PCPs) spending the most time. The association between EHR time and ambulatory care quality outcomes is unclear. Objective: To characterize measures of EHR use and ambulatory care quality performance among PCPs. Design, Setting, and Participants: A cross-sectional study of PCPs with longitudinal patient panels using a single EHR vendor was conducted at Brigham and Women's Hospital and Massachusetts General Hospital during calendar year 2021. Exposures: Independent variables included PCPs demographic and practice characteristics and EHR time measures (PCP-level mean of daily total EHR time, after-hours time, time from 5:30 pm to 7:00 am and time on weekends, and daily EHR time on notes, sending and receiving patient, staff, results, prescription, or system messages [in-basket], and clinical review). Main Outcomes and Measures: Outcome variables were ambulatory quality measures (year-end, PCP panel-level achievement of targets for hemoglobin A1c level control, lipid management, hypertension control, diabetes screening, and breast cancer screening). Results: The sample included 291 physicians (174 [59.8%] women). Median panel size was 829 (IQR, 476-1157) patients and mean (SD) clinical full-time equivalent was 0.54 (0.27). The PCPs spent a mean (SD) of 145.9 (64.6) daily minutes on the EHR. There were significant associations between EHR time and panel-level achievement of hemoglobin A1c control, hypertension control, and breast cancer screening targets. In adjusted analyses, each additional 15 minutes of total daily EHR time was associated with 0.58 (95% CI, 0.32-0.84) percentage point greater panel-level hemoglobin A1c control, 0.52 (95% CI, 0.33-0.71) percentage point greater hypertension control, and 0.28 (95% CI, 0.05-0.52) higher breast cancer screening rates. Each daily additional 15 minutes of in-basket time was associated with 2.26 (95% CI, 1.05-3.48) greater panel-wide hemoglobin A1c control, 1.65 (95% CI, 0.83-2.47) percentage point greater hypertension control, and 1.26 (95% CI, 0.51-2.02) percentage point higher breast cancer screening rates. Associations were largely concentrated among PCPs with 0.5 clinical full-time equivalent or less. There were no associations between EHR use metrics and diabetes screening or lipid management in patients with cardiovascular disease. Conclusions and Relevance: This cross-sectional study found an association between EHR time and some measures of ambulatory care quality. Although increased EHR time is associated with burnout, it may represent a level of thoroughness or communication that enhances certain outcomes. It may be useful for future studies to characterize payment models, workflows, and technologies that enable high-quality ambulatory care delivery while minimizing EHR burden.

Indexed as

Breast NeoplasmsDiabetes MellitusHypertensionCross-Sectional StudiesElectronic Health RecordsFemaleGlycated HemoglobinHumansLipidsMalePrimary Health CareQuality of Health CareGlycated HemoglobinLipids

Identifiers

PMID36255725
PMCPMC9579903
OpenAlexW4306729749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.