ArticleJAMA network open2023
System-Level Factors and Time Spent on Electronic Health Records by Primary Care Physicians.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- The association between team-based model of care characteristics and patient outcomes in community health centres: a systematic review.BMC primary care · 2026Pooled it
- The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review.BMC health services research · 2024Pooled it
- Pharmacist care for attention-deficit/hyperactivity disorder electronic medication refills: A cluster randomized trial.Journal of managed care & specialty pharmacy · 2025Trial
- Pharmacist vs physician management of e-visit requests for COVID-19 medication: A randomized clinical trial.Journal of managed care & specialty pharmacy · 2025Trial
- The consensus-based CINEX guideline for reporting clinical information extraction studies.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- "I Will Teach Them My Art": Reclaiming Generativity to Improve Physician Well-Being.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- Patterns and predictors of clinician use of interoperability tools.JAMIA open · 2026Article
- Governing the attention dividend: AI-reclaimed clinician capacity as a health policy resource.Health affairs scholar · 2026Article
- Quantifying and Visualizing Emergency Physician Workflow: Observational Time-Motion Study.JMIR medical informatics · 2026Observational
- The Interface of Artificial Intelligence and the Electronic Medical Record in Orthopaedic Surgery: Current Applications and Future Directions.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Review
- From Efficacy to Effectiveness: When Proven Therapies Fail.Circulation. Population health and outcomes · 2026Article
- Article
- The Real Driver of Burnout: The 1.2-FTE Problem.NAM perspectives · 2026Article
- Growth In Number Of Practices And Clinicians Participating In Concierge And Direct Primary Care, 2018-23.Health affairs (Project Hope) · 2025Article
- Behavioral Phenotypes in Electronic Health Record Use by Primary Care Providers: a Cluster Analysis.Journal of general internal medicine · 2025Article
- We need to create a competitive market for electronic health record systems.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Article
- Artificial intelligence and physician burnout: A productivity paradox.Learning health systems · 2025Article
- A Preliminary Conceptual Framework of Clinical Documentation Burden: Exploratory Factor Analysis Investigating Usability, Effort, and Perceived Burden among Health Care Providers.Applied clinical informatics · 2025Article
- International corneal and ocular surface disease dataset for electronic health records.The British journal of ophthalmology · 2025Article
- Impact of Pharmacy Technicians on Clinician and Nurse Work Experience in Primary Care.Annals of family medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Primary care physicians (PCPs) spend the most time on the electronic health record (EHR) of any specialty. Thus, it is critical to understand what factors contribute to varying levels of PCP time spent on EHRs. Objective: To characterize variation in EHR time across PCPs and primary care clinics, and to describe how specific PCP, patient panel, clinic, and team collaboration factors are associated with PCPs' time spent on EHRs. Design, Setting, and Participants: This cross-sectional study included 307 PCPs practicing across 31 primary care clinics at Massachusetts General Hospital and Brigham and Women's Hospital during 2021. Data were analyzed from October 2022 to October 2023. Main Outcomes and Measures: Total per-visit EHR time, total per-visit pajama time (ie, time spent on the EHR between 5:30 pm to 7:00 am and on weekends), and total per-visit time on the electronic inbox as measured by activity log data derived from an EHR database. Results: The sample included 307 PCPs (183 [59.6%] female). On a per-visit basis, PCPs spent a median (IQR) of 36.2 (28.9-45.7) total minutes on the EHR, 6.2 (3.1-11.5) minutes of pajama time, and 7.8 (5.5-10.7) minutes on the electronic inbox. When comparing PCP time expenditure by clinic, median (IQR) total EHR time, median (IQR) pajama time, and median (IQR) electronic inbox time ranged from 23.5 (20.7-53.1) to 47.9 (30.6-70.7) minutes per visit, 1.7 (0.7-10.5) to 13.1 (7.7-28.2) minutes per visit, and 4.7 (4.1-5.2) to 10.8 (8.9-15.2) minutes per visit, respectively. In a multivariable model with an outcome of total per-visit EHR time per visit, an above median percentage of teamwork on orders was associated with 3.81 (95% CI, 0.49-7.13) minutes per visit fewer and having a clinic pharmacy technician was associated with 7.87 (95% CI, 2.03-13.72) minutes per visit fewer. Practicing in a community health center was associated with fewer minutes of total EHR time per visit (5.40 [95% CI, 0.06-10.74] minutes). Conclusions and Relevance: There is substantial variation in EHR time among individual PCPs and PCPs within clinics. Organization-level factors, such as team collaboration on orders, support for medication refill functions, and practicing in a community health center, are associated with lower EHR time for PCPs. These findings highlight the importance of addressing EHR burden at a systems level.
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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.