Evidence map›Paper›PMID 35980633›Full record

ArticleJAMA network open2022

Equitability of Depression Screening After Implementation of General Adult Screening in Primary Care.

Maria E Garcia, Ladson Hinton, John Neuhaus, Mitchell Feldman, Jennifer Livaudais-Toman, Leah S Karliner

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  8. Unmet need for depression treatment before and after the affordable care act.Social psychiatry and psychiatric epidemiology · 2026
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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 at 2 institutions in 1 country.

Maria E GarciaCenter for Aging in Diverse Communities, University of California, San Francisco, San Francisco.
Ladson HintonDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Davis.
John NeuhausImplementation Science Training Program, Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.
Mitchell FeldmanDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco.
Jennifer Livaudais-TomanCenter for Aging in Diverse Communities, University of California, San Francisco, San Francisco.
Leah S KarlinerCenter for Aging in Diverse Communities, University of California, San Francisco, San Francisco.
University of California, San Francisco · USUniversity of California, Davis · US

Funding

Mentoring Researchers on Clinical Communication With Diverse Aging PopulationsK24AG067003 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARLINER, LEAH S · 2021 to 2025
$943k
Equity in Depression Care for Primary Care Patients with Language BarriersK23MD015115 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARCIA, MARIA ESTELI · 2020 to 2024
$860k
NIA NIH HHS K24 AG067003NIMHD NIH HHS K23 MD015115
6 · The paper itself

Abstract

Importance: Depression is a debilitating and costly medical condition that is often undertreated. Men, racial and ethnic minority individuals, older adults, and those with language barriers are at increased risk for undertreatment of depression. Disparities in screening may contribute to undertreatment. Objective: To examine depression screening rates among populations at risk for undertreatment of depression during and after rollout of general screening. Design, Setting, and Participants: This cohort study from September 1, 2017, to December 31, 2019, of electronic health record data from 52 944 adult patients at 6 University of California, San Francisco, primary care facilities assessed depression screening rates after implementation of a general screening policy. Patients were excluded if they had a baseline diagnosis of depression, bipolar disorder, schizophrenia, schizoaffective disorder, or dementia. Exposures: Screening year, including rollout (September 1, 2017, to December 31, 2017) and each subsequent calendar year (January 1 to December 31, 2018, and January 1 to December 31, 2019). Main Outcomes and Measures: Rates of depression screening performed by medical assistants using the Patient Health Questionnaire-2. Data collected included age, sex, race and ethnicity, and language preference (English vs non-English); to compare English and non-English language preference groups and also assess depression screening by race and ethnicity within the English-speaking group, a single language-race-ethnicity variable with non-English language preference and English language preference categories was created. In multivariable analyses, the likelihood of being screened was evaluated using annual logistic regression models for 2018 and 2019, examining sex, age, language-race-ethnicity, and comorbidities, with adjustment for primary care site. Results: There were 52 944 unique, eligible patients with 1 or more visits in one of the 6 primary care practices during the entire study period (59% female; mean [SD] age, 48.9 [17.6] years; 178 [0.3%] American Indian/Alaska Native, 13 241 [25.0%] English-speaking Asian, 3588 [6.8%] English-speaking Black/African American, 4744 [9.0%] English-speaking Latino/Latina/Latinx, 760 [1.4%] Pacific Islander, 22 689 [42.9%] English-speaking White, 4857 [9.0%] English-speaking other [including individuals who indicated race and ethnicity as other and individuals for whom race and ethnicity data were missing or unknown], and 2887 [5.5%] with language barriers [non-English language preference]). Depression screening increased from 40.5% at rollout (2017) to 88.8% (2019). In 2018, the likelihood of being screened decreased with increasing age (adusted odds ratio [aOR], 0.89 [95% CI, 0.82-0.98] for ages 45-54 and aOR, 0.75 [95% CI, 0.65-0.85] for ages 75 and older compared with ages 18-30); and, except for Spanish-speaking patients, patients with limited English proficiency were less likely to be screened for depression than English-speaking White patients (Chinese language preference: aOR, 0.59 [95% CI, 0.51-0.67]; other non-English language preference: aOR, 0.55 [95% CI, 0.47-0.64]). By 2019, depression screening had increased dramatically for all at-risk groups, and for most, disparities had disappeared; the odds of screening were only still significantly lower for men compared with women (aOR, 0.87 [95% CI, 0.81 to 0.93]). Conclusions and Relevance: In this cohort study in a large academic health system, full implementation of depression screening was associated with a substantial increase in screening rates among groups at risk for undertreatment of depression. In addition, depression screening disparities narrowed over time for most groups, suggesting that routine depression screening in primary care may reduce screening disparities and improve recognition and appropriate treatment of depression for all patients.

Indexed as

DepressionEthnicityAdolescentAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedMinority GroupsPrimary Health CareYoung Adult

Identifiers

PMID35980633
PMCPMC9389351
OpenAlexW4292213003

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.