Evidence map›Paper›PMID 41632161›Full record

ArticleJAMA network open2025

Guideline-Concordant Care and Clinician and Clinic Characteristics for Patients With Schizophrenia.

Annie Yu-An Chen, Gregory E Simon, Keith M Ericson, John E Zeber, Jing Qian, Kimberley H Geissler

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Annie Yu-An ChenDepartment of Healthcare Delivery and Population Sciences, University of Massachusetts Chan Medical School-Baystate, Springfield.
Gregory E SimonKaiser Permanente Washington Health Research Institute, Seattle.
Keith M EricsonNational Bureau for Economic Research, Cambridge, Massachusetts.
John E ZeberSchool of Public Health and Health Sciences, University of Massachusetts, Amherst.
Jing QianSchool of Public Health and Health Sciences, University of Massachusetts, Amherst.
Kimberley H GeisslerDepartment of Healthcare Delivery and Population Sciences, University of Massachusetts Chan Medical School-Baystate, Springfield.

Funding

The Role of Insurance Networks and Organizational Factors in Guideline-Concordant Care for Serious Mental IllnessR34MH123628 · NIMH · UNIVERSITY OF MASSACHUSETTS AMHERST · PI GEISSLER, KIMBERLEY LYNN H · 2021 to 2023
$716k
NIMH NIH HHS R34 MH123628
6 · The paper itself

Abstract

Importance: Guideline-concordant care of schizophrenia remains low despite available evidence-based treatments. Primary care providers (PCPs; primary care clinicians) and psychiatric advanced practice practitioners (APPs) increasingly deliver specialty mental health care, but whether care quality differs by clinician or clinic type or patient mix is unclear. Objective: To assess whether clinician or clinic specialty and higher schizophrenia caseload intensity are associated with receipt of guideline-concordant schizophrenia care. Design, Setting, and Participants: This cross-sectional study (January 1, 2014, to December 31, 2021) used multivariable logistic regression to assess associations between clinician or clinic specialty and guideline-concordant care, adjusting for patient and zip code characteristics. Some models included interactions between specialty and a high schizophrenia caseload intensity indicator to examine associations within specialties. Insured individuals aged 18 to 64 years with schizophrenia from the Massachusetts All Payer Claims Database were studied. Analysis was completed between August 1, 2024, and September 25, 2025. Exposures: Clinician or clinic specialty and schizophrenia caseload intensity. Main Outcomes and Measures: Binary indicators of high medication adherence, any receipt of psychosocial services, routine receipt of psychotherapy, high inpatient use, and receipt of antipsychotic-related diabetes screening. Results: The final analytic sample included 29 713 person-year observations (18 772 [63.2%] male; 5569 [63.2%] aged 35-64 years). Among these, 12 104 (40.7%) were attributed to psychiatrists, 3144 (10.6%) to psychiatric APPs, 6626 (22.3%) to mental health clinics, and 7839 (26.4%) to PCPs. In adjusted regressions, patients of psychiatric APPs or mental health clinics had higher probabilities of receiving psychosocial services (APP vs psychiatrist: 80.1% vs 72.1%, P < .001; mental health clinic vs psychiatrist: 87.1% vs 72.1%, P < .001) and routine psychotherapy (APP vs psychiatrist: 30.4% vs 24.0%, P < .001; mental health clinic vs psychiatrist: 35.2% vs 24.0%, P < .001) than patients of psychiatrists; antipsychotic adherence was similar or higher. In contrast, those with PCPs were less likely to receive psychosocial services (-15.85 percentage points [pp]; 95% CI, -18.40 to -13.30 pp) or routine psychotherapy (-16.42 pp; 95% CI, -17.80 to -15.05 pp) but more likely to receive antipsychotic-related diabetes screening (5.66 pp; 95% CI, 4.02-7.30 pp). High inpatient use did not significantly differ. Attribution to PCPs with higher schizophrenia caseload intensity was not consistently associated with improved outcomes across specialties. Conclusions and Relevance: In this cross-sectional study, guideline-concordant care was similar for patients of psychiatric APPs, mental health clinics, and psychiatrists, but patients of PCPs were less likely to receive psychosocial or psychotherapy services, although higher schizophrenia caseload intensity may mitigate this gap. Strategies to improve care across specialties are needed because overall rates remain low.

Indexed as

Guideline AdherenceMental Health ServicesPrimary Health CareSchizophreniaAdolescentAdultAntipsychotic AgentsCross-Sectional StudiesFemaleHumansMaleMassachusettsMiddle AgedPsychiatristsYoung AdultAntipsychotic Agents

Identifiers

PMID41632161
PMCPMC12743273

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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.