Evidence map›Paper›PMID 35271723›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Association between state-level malpractice environment and clinician electronic health record (EHR) time.

A Jay Holmgren, Lisa Rotenstein, Norman Lance Downing, David W Bates, Kevin Schulman

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Assessing the impact of patient access to clinical notes on clinician EHR documentation.Journal of the American Medical Informatics Association : JAMIA · 2022
    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

5 authors.

A Jay HolmgrenDepartment of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, California, USA.
Lisa RotensteinDepartment of General Internal Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Norman Lance DowningDepartment of Medicine, Stanford University, Stanford, California, USA.
David W BatesDepartment of General Internal Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-6268-1540
Kevin SchulmanDepartment of Medicine, Clinical Excellence Research Center, Stanford University, Stanford, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveClinicians spend significant time working in the electronic health record (EHR). The US is an outlier in EHR time, suggesting that EHR-related work may be driven in part by the legal environment and threat of malpractice. To assess this, we evaluate the association between state-level malpractice climate and clinician time spent in the EHR. MATERIALS AND

methodsWe use EHR metadata from 351 ambulatory care health systems in the United States using Epic from January-August 2019 combined with state-level data on malpractice incidence and payouts. We used descriptive statistics to measure variation in clinician EHR time, including total EHR time, documentation time per day, and after-hours EHR time per day. Multi-variable regression evaluated the association between clinicians in high malpractice states and EHR use.

resultsWe found no association between location in a state in the top-quartile of malpractice payouts and time spent in the EHR per day, time spent in the EHR outside of scheduled hours, or time spent documenting per day, except for a subgroup of the clinicians in the highest malpractice specialties, where there was a small increase in EHR time per day (B = 6.08 min, P < 0.001) and time spent documenting notes (B = 2.77 min, P < 0.001). DISCUSSION: State-level differences in malpractice incidence are unlikely to be a significant driver of EHR work for most clinicians.

conclusionPolicymakers seeking to address EHR documentation burden should examine burden driven by other socio-technical demands on clinician time, such as billing or quality measurement.

Indexed as

MalpracticeMedicineDocumentationElectronic Health RecordsUnited Statesclinician well-beingdocumentation burdenelectronic health recordsmedical malpractice

Identifiers

PMID35271723
PMCPMC9093025

What OpenQuestion holds

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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.