Evidence map›Paper›PMID 39075269›Full record

ReviewJournal of general internal medicine2024

Complexities of Physician Workforce Projection: Call for a Unified National Healthcare Workforce Policy.

Amirala S Pasha, Meredith A Niess, David C Parish, Tracey Henry, V Ram Krishnamoorthi, Robert B Baron, Shaowei Wan

Abstract readReview
In one paragraph

Review in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Amirala S PashaDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA. pasha.amirala@mayo.edu.ORCID 0000-0002-4474-9502
Meredith A NiessDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
David C ParishDepartment of Internal Medicine, Mercer University School of Medicine, Macon, GA, USA.
Tracey HenryDepartment of Internal Medicine, Emory University School of Medicine, Atlanta, GA, USA.
V Ram KrishnamoorthiSection of Hospital Medicine, University of Chicago Medicine, Chicago, IL, USA.
Robert B BaronDivision of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA.
Shaowei WanGeneral Internal Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring an adequate supply of physicians is paramount in securing the future of healthcare. To do so, accurate physician workforce predictions are needed to inform policymakers. However, the United States lacks such predictions from reliable sources. Several non-governmental organizations have actively been involved in attempting to quantify workforce needs, but they often employ opaque methodologies and are deeply conflicted, leading to potentially unreliable or biased results. Moreover, while federal and state entities invest approximately $15 billion annually in graduate medical education (GME) payments, they have very little control over how the funding is used to shape the future physician workforce. In this article, we review physician workforce predictions from both an international and a domestic perspective and finally discuss how the creation of an apolitical, data-driven, expert-led panel at the federal level with sufficient authority to influence broader workforce policy is the optimal solution for ensuring an adequate supply of physicians for generations to come.

Indexed as

Health PolicyHealth WorkforcePhysiciansForecastingHumansUnited States

Identifiers

PMID39075269
PMCPMC11576690

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.