Evidence map›Paper›PMID 40854700›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2025

A Snapshot of Family Medicine Physician Engagement with State Policy: Findings from the 2023 CERA Survey.

Amogh Shukla, Amy Clithero-Eridon, Cameron Crandall, David Chartash, Reiana Mahan, Danielle Albright

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2025. 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. The 4Cs of Primary Care, Leveraging Artificial Intelligence, and Improving Clinical Practice.Journal of the American Board of Family Medicine : JABFM · 2025
    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

6 authors.

Amogh ShuklaFrom the University of New Mexico School of Medicine, Albuquerque, NM (AS); Department of Family & Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM (AC-E); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (CC); Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC); Department of Family and Community Medicine, University of Missouri School of Medicine, Columbia, MO (RM); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (DA).
Amy Clithero-EridonFrom the University of New Mexico School of Medicine, Albuquerque, NM (AS); Department of Family & Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM (AC-E); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (CC); Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC); Department of Family and Community Medicine, University of Missouri School of Medicine, Columbia, MO (RM); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (DA). AClithero@salud.unm.edu.
Cameron CrandallFrom the University of New Mexico School of Medicine, Albuquerque, NM (AS); Department of Family & Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM (AC-E); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (CC); Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC); Department of Family and Community Medicine, University of Missouri School of Medicine, Columbia, MO (RM); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (DA).
David ChartashFrom the University of New Mexico School of Medicine, Albuquerque, NM (AS); Department of Family & Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM (AC-E); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (CC); Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC); Department of Family and Community Medicine, University of Missouri School of Medicine, Columbia, MO (RM); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (DA).
Reiana MahanFrom the University of New Mexico School of Medicine, Albuquerque, NM (AS); Department of Family & Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM (AC-E); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (CC); Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC); Department of Family and Community Medicine, University of Missouri School of Medicine, Columbia, MO (RM); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (DA).
Danielle AlbrightFrom the University of New Mexico School of Medicine, Albuquerque, NM (AS); Department of Family & Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM (AC-E); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (CC); Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC); Department of Family and Community Medicine, University of Missouri School of Medicine, Columbia, MO (RM); University of New Mexico School of Medicine, Department of Emergency Medicine, Albuquerque, NM (DA).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care professionals are in a unique position to enact health-related social change. Medicine is subject to regulation at the organizational, local, state, and national levels. Federal laws apply to physicians throughout the US; as such, federal policy affects physician practice intentions similarly. However, there is little research on state-level engagement in the political process and none on the participation by family medicine physicians.

methodsThis article examines the nature of physician civic engagement at the state level. Data were gathered and analyzed as part of the 2023 Council of Academic Family Medicine's (CAFM) Educational Research Alliance (CERA) survey of Family Medicine educators and practicing physicians. We used nonparametric statistics (Kruskal-Wallis tests) to analyze ordinal variables. Categorical variables were analyzed using χ

resultsThe policy question section of the survey received 709 responses, a response rate of 21%. Our results show a lack of civic engagement, including less than a third voting in state elections and only 4% making financial contributions to political campaigns. Seventeen percent of respondents reported considering relocating due to state health policies. For all questions, we observed variations by geographical region and gender.

conclusionsOur findings provide a timely analysis of family medicine physician participation in the political process, the effect of specific health policies, and how these policies are comparatively received among family medicine physicians in the United States.

Indexed as

Family PracticeHealth PolicyPhysicians, FamilyAdultFemaleHumansMaleMiddle AgedPhysician EngagementPoliticsState GovernmentSurveys and QuestionnairesUnited StatesAdvocacyChi-Square TestFamily MedicineHealth PolicyLogistic RegressionNon-Parametric StatisticsPhysiciansSocial Change

Identifiers

PMID40854700
PMCPMC12616814

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.