Evidence map›Paper›PMID 40815522›Full record

ArticleJAMA health forum2025

Clinicians Who Practice Primarily in Nursing Homes and the Quality of Care for Residents With Alzheimer Disease and Related Dementias.

Hyunkyung Yun, Mark Aaron Unruh, Yuting Qian, Yongkang Zhang, Hye-Young Jung

Abstract read
In one paragraph

Article in JAMA health forum, 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. 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

5 authors.

Hyunkyung YunDepartment of Health Services, Policy & Practice, School of Public Health, Brown University, Providence, Rhode Island.
Mark Aaron UnruhDepartment of Population Health Sciences, Joan and Sanford I. Weill College of Medicine, Cornell University, New York, New York.
Yuting QianDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Yongkang ZhangDepartment of Population Health Sciences, Joan and Sanford I. Weill College of Medicine, Cornell University, New York, New York.
Hye-Young JungDepartment of Population Health Sciences, Joan and Sanford I. Weill College of Medicine, Cornell University, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The number of physicians and advanced practitioners (APs) whose care is concentrated in nursing homes (often referred to as nursing home or skilled nursing facility specialists [SNFists]) has increased rapidly. Therefore, whether these clinicians provide better care is important. Objective: To examine the association between SNFist care and outcomes of long-stay nursing home (NH) residents with Alzheimer disease and related dementias (ADRD). Design, Setting, and Participants: In this retrospective cohort study of 417 378 residents with ADRD in US NHs, claims for a 20% national sample of Medicare fee-for-service beneficiaries between 2013 and 2019 were analyzed. Adjusted estimates were based on a machine learning approach that incorporated a doubly robust procedure using a generalized estimating equation with inverse probability treatment weighting. Three secondary analyses were conducted: (1) stratified analyses for physicians and APs, (2) inclusion of physicians of any specialty and APs, and (3) use of proxy outcomes for in-place deaths. Data were analyzed from June 1, 2024, to May 3, 2025. Intervention: Receipt of care from a SNFist; SNFists included generalist physicians and APs. Main Outcomes and Measures: Hospitalizations and emergency department (ED) visits for ambulatory care-sensitive (ACS) conditions. Death without an ACS hospitalization and death without any hospitalization were used in secondary analyses. Results: Of the total 417 378 residents, 242 540 received care from SNFists (mean [SD] age, 83.5 [8.7] years), and 174 838 never received care from SNFists (mean [SD] age, 84.8 [8.5] years). Compared with the residents who never received care from SNFists, the residents who received care from SNFists were more likely to be Black (12.6% vs 9.4%; P < .001), dually eligible (77.5% vs 73.1%; P < .001), and have more chronic conditions (eg, anemia, 60.9% vs 57.6%). Compared with non-SNFist clinicians, the SNFist clinicians were more likely to be female (physicians, 37.1% vs 23.3%; APs, 88.1% vs 85.1%), practice at more facilities (mean [SD] number of facilities, 9.4 [8.7] for SNFist physicians vs 6.4 [6.1] for non-SNFist physicians; 8.6 [8.1] for SNFist APs vs 7.1 [6.8] for non-SNFist APs), and less likely to practice in rural areas (physicians, 9.3% vs 25.4%; APs, 8.1% vs 20.2%). In adjusted analyses, receiving care from a SNFist vs non-SNFist was associated with 7% lower odds of an ACS hospitalization (odds ratio [OR], 0.93; 95% CI, 0.90-0.96) and 7% lower odds of an ACS ED visit (OR, 0.93; 95% CI, 0.90-0.96). In stratified analyses, receiving care from a SNFist physician vs a non-SNFist physician was associated with 13% lower odds (OR, 0.87; 95% CI, 0.83-0.90) of an ACS hospitalization and 7% lowers odds of an ACS ED visit (OR, 0.93, 95% CI, 0.88-0.97); comparisons of SNFist APs vs non-SNFist APs were not statistically significant. Estimates from the analysis including physicians of any specialty and APs were consistent with the primary results. SNFist care was associated with increased odds of in-place death. Conclusions and Relevance: Findings of this cohort study suggest that the use of SNFists by NHs may enhance the quality of care for residents with ADRD.

Indexed as

Alzheimer DiseaseDementiaNursing HomesPhysiciansQuality of Health CareSkilled Nursing FacilitiesAgedAged, 80 and overFemaleHumansMaleMedicareRetrospective StudiesUnited States

Identifiers

PMID40815522
PMCPMC12357189

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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.