Evidence map›Paper›PMID 34396055›Full record

ArticleJAMIA open2021

A qualitative study of provider burnout: do medical scribes hinder or help?

Sky Corby, Joan S Ash, Vishnu Mohan, James Becton, Nicholas Solberg, Robby Bergstrom, Benjamin Orwoll, Christopher Hoekstra, Jeffrey A Gold

Abstract read
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Selection and Implementation of Virtual Scribe Solutions to Reduce Documentation Burden: A Mixed Methods Pilot.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  8. Article
  9. Article
  10. 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.

Sky CorbyDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Joan S AshDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Vishnu MohanDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
James BectonDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Nicholas SolbergDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Robby BergstromDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Benjamin OrwollDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Christopher HoekstraDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Jeffrey A GoldDepartment of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA.

Funding

TRAINING PROGRAM IN HEALTH INFORMATICST15LM007088 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAM R HERSH, Vishnu Mohan · 1992 to 2026
$23.4M
Creation and validation of a training toolkit to ensure safe and proficient use of EHR by medical scribesR01HS025141 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOLD, JEFFREY A. · 2017 to 2021
$2.0M
AHRQ HHS R01 HS025141NLM NIH HHS T15 LM007088
6 · The paper itself

Abstract

objectiveProvider burnout is a crisis in healthcare and leads to medical errors, a decrease in patient satisfaction, and provider turnover. Many feel that the increased use of electronic health records contributes to the rate of burnout. To avoid provider burnout, many organizations are hiring medical scribes. The goal of this study was to identify relevant elements of the provider-scribe relationship (like decreasing documentation burden, extending providers' careers, and preventing retirement) and describe how and to what extent they may influence provider burnout. MATERIALS AND

methodsQualitative methods were used to gain a broad view of the complex landscape surrounding scribes. Data were collected in 3 phases between late 2017 and early 2019. Data from 5 site visits, interviews with medical students who had experience as scribes, and discussions at an expert conference were analyzed utilizing an inductive approach.

resultsA total of 184 transcripts were analyzed to identify patterns and themes related to provider burnout. Provider burnout leads to increased provider frustration and exhaustion. Providers reported that medical scribes improve provider job satisfaction and reduce burnout because they reduce the documentation burden. Medical scribes extend providers' careers and may prevent early retirement. Unfortunately, medical scribes themselves may experience similar forms of burnout.

conclusionOur data from providers and managers suggest that medical scribes help to reduce provider burnout. However, scribes are not the only solution for reducing documentation burden and there may be potentially better options for preventing burnout. Interestingly, medical scribes sometimes suffer from burnout themselves, despite their temporary roles.

Indexed as

burnoutelectronic health recordsmedical scribespatient safetyqualitative researchsociotechnical systems

Identifiers

PMID34396055
PMCPMC8358329

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.