Evidence map›Paper›PMID 42171962›Full record

ArticleCommunity mental health journal2026

Association Between Patient Health Questionnaire-4 Composite Score and Depression Diagnoses in a Free Clinic Setting: Pooled Cross-sectional Study.

Sri Varsha Katoju, Jessica Diana, Elijah Moothedan, Avaneesh Kunta, Oliver Nguyen, Anshul Daga, Kartik Motwani, David Feller

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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.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sri Varsha KatojuPritzker School of Medicine, University of Chicago, Chicago, USA. srivarshakatoju@uchicagomedicine.org.
Jessica DianaCollege of Medicine, University of Central Florida, Orlando, USA. je826960@ucf.edu.
Elijah MoothedanCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, USA.
Avaneesh KuntaCollege of Medicine, University of Central Florida, Orlando, USA.
Oliver NguyenDepartment of Health Outcomes & Behavior, Moffitt Cancer Center, Tampa, USA.
Anshul DagaDepartment of Community Health and Family Medicine, University of Florida, Gainesville, USA.
Kartik MotwaniDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, USA.
David FellerDepartment of Community Health and Family Medicine, University of Florida, Gainesville, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1TR001427
6 · The paper itself

Abstract

This study aimed to examine the predictive validity of the Patient Health Questionnaire-4 (PHQ-4) in identifying depression diagnoses among patients in a student-run free clinic (SRFC) setting. This pooled cross-sectional study utilized electronic health record data from the Equal Access Clinic Network, a network of SRFCs affiliated with the University of Florida. All adult patients who completed PHQ-4 screening questions between October 2015 and February 2020 and had a corresponding ICD-10 diagnostic code were included (n = 2,498). The PHQ-4 composite score, calculated from binary responses to four mental health screening questions, served as the primary independent variable. The primary outcome was provider-diagnosed Major Depressive Disorder (MDD), defined by ICD-10 code F32.9. A multivariable logistic regression model, adjusted for age, sex, race/ethnicity, employment, and marital status, was used to evaluate the association between PHQ-4 scores and provider-diagnosed MDD. Higher PHQ-4 composite scores were significantly associated with increased odds of receiving an MDD diagnosis (adjusted OR = 2.047; 95% CI: 1.830-2.289; p < 0.001). The average PHQ-4 score was 1.17 (SD = 1.47), with 47.2% of patients scoring ≥ 1. Non-White patients, including those identifying as Black or from other underrepresented groups, had significantly lower odds of MDD diagnosis compared to White patients. The PHQ-4 is a strong predictor of MDD diagnoses in a free clinic setting and may serve as an efficient, low-burden screening tool for mental health concerns in underserved populations. Its integration into free clinic settings may support earlier identification and intervention, though disparities in diagnosis across racial and ethnic groups warrant further investigation.

Indexed as

Community psychiatryDepressionQuality improvementScales/outcome & clinical measurement

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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.