Evidence map›Paper›PMID 38841718›Full record

ArticleHealth affairs scholar2024

Health care provider movement increased through COVID-19.

Qian Luo, Yoon Hong Park, Candice Chen, Stephen Petterson

Abstract read
In one paragraph

Article in Health affairs scholar, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Qian LuoDepartment of Health Policy and Management, Fitzhugh Mullan Institute for Health Workforce Equity, Milken Institute School of Public Health, George Washington University, Washington, DC 20037, United States.ORCID https://orcid.org/0000-0002-3413-9727
Yoon Hong ParkDepartment of Health Policy and Management, Fitzhugh Mullan Institute for Health Workforce Equity, Milken Institute School of Public Health, George Washington University, Washington, DC 20037, United States.ORCID https://orcid.org/0000-0002-7526-5041
Candice ChenDepartment of Health Policy and Management, Fitzhugh Mullan Institute for Health Workforce Equity, Milken Institute School of Public Health, George Washington University, Washington, DC 20037, United States.ORCID https://orcid.org/0000-0002-0542-8706
Stephen PettersonDepartment of Health Policy and Management, Fitzhugh Mullan Institute for Health Workforce Equity, Milken Institute School of Public Health, George Washington University, Washington, DC 20037, United States.ORCID https://orcid.org/0000-0002-2227-4307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 placed unprecedented strain on the health workforce, raising concerns of increasing worker turnover and attrition. This study explores the use of 2 publicly available Medicare datasets-Provider Enrollment, Chain, and Ownership System (PECOS) and Doctors and Clinicians-to track provider movement across states and organizations from 2017 to 2023. We found an increase in state-to-state movement of providers post-COVID-19, with an initial spike in physician movement in the first year (April 2020 to March 2021). Movement varied across specialties and professions. Between organizations, we saw an initial increase in movement for family physicians but not internal medicine physicians. Overall, provider movement was generally to larger organizations. Our study finds increasing movement of providers in the post-COVID-19 period through the novel use of 2 publicly available Medicare datasets. Tracking health care workforce movement closer to real time is important to understand a changing workforce-with differences across communities-and to guide policies to ensure sufficient workforce and prevent worsening disparities over time.

Indexed as

COVID-19health workforce

Identifiers

PMID38841718
PMCPMC11152201

What OpenQuestion holds

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LicenceCC BY-NC
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.