Evidence map›Paper›PMID 37340268›Full record

Trial reportJournal of general internal medicine2023

Effect of a National VHA Medical Scribe Pilot on Provider Productivity, Wait Times, and Patient Satisfaction in Cardiology and Orthopedics.

Sivagaminathan Palani, Iman Saeed, Aaron Legler, Izabela Sadej, Carol MacDonald, Susan R Kirsh, Steven D Pizer, Paul R Shafer

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04154462 (Evaluation of the Use of Medical Scribes on Provider Efficiency, Patient Satisfaction, and Wait Times in VAMC Emergency Departments and Specialty Care Clinics), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 15% 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.

NCT04154462 nacompletednot on this map

Evaluation of the Use of Medical Scribes on Provider Efficiency, Patient Satisfaction, and Wait Times in VAMC Emergency Departments and Specialty Care Clinics

TypeinterventionalSponsorVA Boston Healthcare SystemRan2019 to 2022Enrolled12ConditionsMedical ScribesArmsScribes
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

8 authors at 3 institutions in 1 country.

Sivagaminathan PalaniPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, MA, USA.
Iman SaeedPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, MA, USA.
Aaron LeglerPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, MA, USA.
Izabela SadejPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, MA, USA.
Carol MacDonaldPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, MA, USA.
Susan R KirshVeterans Health Administration, Department of Veterans Affairs, DC, Washington, USA.
Steven D PizerPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, MA, USA.
Paul R ShaferPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, MA, USA. pshafer@bu.edu.ORCID 0000-0003-0654-5821
Boston University · USVA Boston Healthcare System · USUnited States Department of Veterans Affairs · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSection 507 of the VA MISSION Act of 2018 mandated a 2-year pilot study of medical scribes in the Veterans Health Administration (VHA), with 12 VA Medical Centers randomly selected to receive scribes in their emergency departments or high wait time specialty clinics (cardiology and orthopedics). The pilot began on June 30, 2020, and ended on July 1, 2022.

objectiveOur objective was to evaluate the impact of medical scribes on provider productivity, wait times, and patient satisfaction in cardiology and orthopedics, as mandated by the MISSION Act.

designCluster randomized trial, with intent-to-treat analysis using difference-in-differences regression. PATIENTS: Veterans using 18 included VA Medical Centers (12 intervention and 6 comparison sites).

interventionRandomization into MISSION 507 medical scribe pilot. MAIN MEASURES: Provider productivity, wait times, and patient satisfaction per clinic-pay period. KEY

resultsRandomization into the scribe pilot was associated with increases of 25.2 relative value units (RVUs) per full-time equivalent (FTE) (p < 0.001) and 8.5 visits per FTE (p = 0.002) in cardiology and increases of 17.3 RVUs per FTE (p = 0.001) and 12.5 visits per FTE (p = 0.001) in orthopedics. We found that the scribe pilot was associated with a decrease of 8.5 days in request to appointment day wait times (p < 0.001) in orthopedics, driven by a 5.7-day decrease in appointment made to appointment day wait times (p < 0.001), and observed no change in wait times in cardiology. We also observed no declines in patient satisfaction with randomization into the scribe pilot.

conclusionsGiven the potential improvements in productivity and wait times with no change in patient satisfaction, our results suggest that scribes may be a useful tool to improve access to VHA care. However, participation in the pilot by sites and providers was voluntary, which could have implications for scalability and what effects could be expected if scribes were introduced to the care process without buy-in. Cost was not considered in this analysis but is an important factor for future implementation.

trial registrationClinicalTrials.gov Identifier: NCT04154462.

Indexed as

CardiologyOrthopedicsDocumentationHumansPatient SatisfactionPilot ProjectsWaiting ListsMISSION ActPatient satisfactionProductivityScribesVeteransWait times

Identifiers

PMID37340268
PMCPMC10356725
OpenAlexW4381434844

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.