Evidence map›Paper›PMID 42045744›Full record

ArticleJournal of general internal medicine2026

Impact of Social Support Networks on Job Satisfaction, Burnout, and Turnover Intentions in Primary Care Teams.

Lusine Poghosyan, Erika Moen, Kyle Featherston, Madeline Pollifrone, Kathleen Flandrick DrPH, Madeline R Sterling Md, Rika Matsumara, Ian Kronish, Jianfang Liu

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Lusine PoghosyanCenter for Healthcare Delivery Research and Innovations, Columbia University School of Nursing, New York, NY, United States. lp2475@columbia.edu.ORCID 0000-0002-0529-8171
Erika MoenDepartment of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
Kyle FeatherstonCenter for Healthcare Delivery Research and Innovations, Columbia University School of Nursing, New York, NY, United States.
Madeline PollifroneCenter for Healthcare Delivery Research and Innovations, Columbia University School of Nursing, New York, NY, United States.
Kathleen Flandrick DrPHCenter for Healthcare Delivery Research and Innovations, Columbia University School of Nursing, New York, NY, United States.
Madeline R Sterling MdWeill Cornell Medicine, New York, NY, USA.
Rika MatsumaraDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Ian KronishCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA.
Jianfang LiuCenter for Healthcare Delivery Research and Innovations, Columbia University School of Nursing, New York, NY, United States.

Funding

AHRQ HHS R01 HS025937AHRQ HHS R01HS025937
6 · The paper itself

Abstract

backgroundSocial support may improve clinician well-being and teamwork in primary care, yet evidence remains limited on how social support affects job outcomes, such as job satisfaction, burnout, and turnover intention among all members of primary care teams, including clinicians and staff.

objectiveTo investigate the relationship between social support network characteristics in primary care teams and their impact on job satisfaction, burnout, and turnover intention among clinicians and staff.

designA cross-sectional study using a sociometric network survey design.

participants652 primary care clinicians and staff in 23 primary care practices in New York (14) and Pennsylvania (9), which had implemented team-based primary care models. MAIN MEASURES: Social support network measures were calculated at two-levels. At the participant-level, these included in-degree (incoming connections), out-degree (outgoing connections), and betweenness (frequency of appearing on the shortest path between other member pairs) centrality. At the practice-level, measures included density (observed ties as a proportion of all possible ties) and transitivity (number of closed triads). Job outcome measures included job satisfaction, burnout, and intent to leave the job. KEY

resultsParticipants with higher out-degree centrality-indicating that they identified more team members who supported them-were less likely to intend to leave their jobs (OR = 0.77; CI 0.65-0.90; p < .001). Similarly, those in practices with greater support network density, indicating a heightened level of interaction among team members for support, were also less likely to express intentions to leave their job (OR = 0.63; CI 0.40-0.97; p < .05). Betweenness centrality was not significantly associated with the outcome variables.

conclusionsSocial support within primary care teams can potentially reduce turnover among primary care clinicians and staff. A better understanding of social support in primary care teams can lay a foundation for network-based interventions. Future research should test the impact of support networks on patient outcomes.

Indexed as

Burnout, ProfessionalJob SatisfactionPatient Care TeamPersonnel TurnoverPrimary Health CareSocial SupportAdultCross-Sectional StudiesFemaleHumansIntentionMaleMiddle AgedPennsylvaniajob outcomesprimary caresocial networkssocial support

Identifiers

PMID42045744
PMCPMC13305092

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.