Evidence map›Paper›PMID 39045876›Full record

ArticleHealth services research2025

Medical training program size and clinical staff productivity and turnover.

Kertu Tenso, Yufei Li, Aaron Legler, Izabela Sadej, Aigerim Kabdiyeva, Melissa M Garrido, Steven D Pizer

Abstract read
In one paragraph

Article in Health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Kertu TensoPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0001-8361-8292
Yufei LiPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, Massachusetts, USA.
Aaron LeglerPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, Massachusetts, USA.
Izabela SadejPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, Massachusetts, USA.
Aigerim KabdiyevaPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, Massachusetts, USA.
Melissa M GarridoPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, Massachusetts, USA.
Steven D PizerPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0003-4908-5976

Funding

Partnered Evidence-Based Policy Research Institute (PEPRI)IP1HX002374 · VA · VA BOSTON HEALTH CARE SYSTEM · PI GARRIDO, MELISSA M, PRENTICE, JULIA C. · 2020 to 2023
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Department of Veterans Affairs, Veterans Health Administration, Office of Research and DevelopmentHSRD VA IP1 HX002374VA PEC 16-001
6 · The paper itself

Abstract

objectiveThe objective of this analysis was to evaluate the effect of resident program training size on clinician productivity and turnover in the Veterans Health Administration (VHA), the largest education and training platform for medical professionals in the United States. DATA SOURCES: We retrieved administrative data on training programs and training facilities from the VA Office of Academic Affiliations and the VHA Corporate Data Warehouse. Data on primary care physician shortage areas were retrieved from the Health Resources and Services Administration. STUDY

designWe used a quasi-experimental instrumental variables 2SLS design and constructed an exogenous predicted training allocation treatment variable as a function of the total national training program allocation. The outcome was clinical staff productivity and turnover. Secondary analyses stratified results using Health Professional Shortage Areas data (HPSA). DATA COLLECTION/EXTRACTION

methodsData were obtained for a national dataset of 141 VHA medical facilities and 26 specialties that hosted training programs across 11 years from 2011 to 2021 (N = 132,177). PRINCIPAL

findingsInstrumental variables results showed that on average, an increase of one training slot in a specialty leads to a decrease of 0.039 visits per standardized clinic day (p < 0.001) and a 0.02 percentage point increase in turnover (p < 0.001). The direction of this association varied by specialty: while psychiatry and psychology specialties saw a decline in productivity, fields such as primary care and cardiology experienced an increase in productivity. HPSA stratified results indicate that negative effects on productivity and turnover are driven by areas with little to no primary care physician shortage, whereas shortage areas experienced a small increase in productivity and no effect on turnover.

conclusionsThis quasi-experimental evaluation indicates that resident training program size is associated with reduced productivity and increased turnover in specialties such as psychiatry and in facilities with high baseline productivity. However, in specialties like primary care and cardiology, as well as areas with shortages of primary care, larger training programs are associated with increased productivity.

Indexed as

EfficiencyInternship and ResidencyPersonnel TurnoverHumansUnited StatesUnited States Department of Veterans Affairsgraduate medical educationproductivityresidentsturnoverVeterans Health Administrationworkforce

Identifiers

PMID39045876
PMCPMC11782085

What OpenQuestion holds

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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.