Evidence map›Paper›PMID 41145851›Full record

ArticleCommunity mental health journal2026

Collaborative Care for Anxiety: Differences in Patient and Clinic-Level Characteristics on Treatment Outcomes in a Safety-Net Hospital System.

Marsha Stern, Tianwen Ma, Hans Verkerke, Savannah L Ngo, Joshua Jackson, Jasmine Taylor

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Article in Community mental health journal, 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

6 authors.

Marsha SternDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA. marsha.smith@emory.edu.ORCID 0000-0003-1249-4477
Tianwen MaDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Hans VerkerkeDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Savannah L NgoDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Joshua JacksonEmory University School of Medicine, Atlanta, GA, USA.
Jasmine TaylorDepartment of Psychiatry and Behavioral Sciences, Morehouse School of Medicine, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The collaborative care model (CoCM) is an evidence-based model shown to improve treatment of depression and anxiety in the primary care setting. However, there is limited research on CoCM outcomes in underserved populations and which factors impact outcomes. We performed a retrospective chart review to examine GAD-7 scores for patients (N = 1,034) seen in primary care clinics within an urban, safety-net hospital system. The Wilcoxon signed-rank test and linear mixed models were used. Our population was 81% female and 89% self-identified Black or African American. There were significant reductions on GAD-7 scores from baseline to 3-, 6-, 9-, and 12-months follow-up (p < .001). The analysis suggested gender, patient age, clinic setting, and number of visits were significant. The effect sizes for these covariates were 0.94, 3.77, 1.98, and 0.74, respectively. Further research including patients' social determinants of health and comorbidities may help refine CoCM and optimize its effectiveness.

Indexed as

AnxietyAnxiety DisordersPrimary Health CareSafety-net ProvidersAdultAgedCooperative BehaviorFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeCollaborative care modelGeneralized anxiety disorderSafety-net hospital system

Identifiers

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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.