Evidence map›Paper›PMID 35686288›Full record

ArticleISPRS international journal of geo-information2021

Rurality and Origin-Destination Trajectories of Medical School Application and Matriculation in the United States.

Lan Mu, Yusi Liu, Donglan Zhang, Yong Gao, Michelle Nuss, Janani Rajbhandari-Thapa, Zhuo Chen, José A Pagán, Yan Li, Gang Li and 1 more

Abstract read
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In one paragraph

Article in ISPRS international journal of geo-information, 2021. 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

11 authors.

Lan MuDepartment of Geography, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-0199-9509
Yusi LiuCollege of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China.ORCID 0000-0001-8339-361X
Donglan ZhangDepartment of Health Policy and Management, University of Georgia, Athens, GA 30602, USA.
Yong GaoInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China.ORCID 0000-0003-1562-6228
Michelle NussAugust University/University of Georgia Medical Partnership, Athens, GA 30602, USA.ORCID 0000-0003-3130-0607
Janani Rajbhandari-ThapaDepartment of Health Policy and Management, University of Georgia, Athens, GA 30602, USA.
Zhuo ChenDepartment of Health Policy and Management, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-5351-3489
José A PagánDepartment of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY 10003, USA.
Yan LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Gang LiDepartment of Health Policy and Management, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-6513-2907
Heejung SonDepartment of Health Policy and Management, University of Georgia, Athens, GA 30602, USA.

Funding

Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

Physician shortages are more pronounced in rural than in urban areas. The geography of medical school application and matriculation could provide insights into geographic differences in physician availability. Using data from the Association of American Medical Colleges (AAMC), we conducted geospatial analyses, and developed origin-destination (O-D) trajectories and conceptual graphs to understand the root cause of rural physician shortages. Geographic disparities exist at a significant level in medical school applications in the US. The total number of medical school applications increased by 38% from 2001 to 2015, but the number had decreased by 2% in completely rural counties. Most counties with no medical school applicants were in rural areas (88%). Rurality had a significant negative association with the application rate and explained 15.3% of the variation at the county level. The number of medical school applications in a county was disproportional to the population by rurality. Applicants from completely rural counties (2% of the US population) represented less than 1% of the total medical school applications. Our results can inform recruitment strategies for new medical school students, elucidate location decisions of new medical schools, provide recommendations to close the rural-urban gap in medical school applications, and reduce physician shortages in rural areas.

Indexed as

geographic disparityGISmedical school applicationorigin–destination trajectoryrural physician shortage

Identifiers

PMID35686288
PMCPMC9175876

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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.