Evidence map›Paper›PMID 38547139›Full record

ArticlePloS one2024

Association between sociodemographic factors, clinic characteristics and mental health screening rates in primary care.

Frank Müller, Alyssa M Abdelnour, Diana N Rutaremara, Judith E Arnetz, Eric D Achtyes, Omayma Alshaarawy, Harland T Holman

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Agreement between the EQ-5D-5L anxiety/depression dimension and GAD-7/PHQ-9 for psychological distress assessment in patients with hematologic malignancies.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
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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

7 authors.

Frank MüllerDepartment of Family Medicine, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States of America.ORCID 0000-0002-9496-9423
Alyssa M AbdelnourDepartment of Family Medicine, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States of America.ORCID 0000-0001-8099-4380
Diana N RutaremaraDepartment of Family Medicine, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States of America.
Judith E ArnetzDepartment of Family Medicine, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States of America.
Eric D AchtyesWestern Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States of America.ORCID 0000-0001-8939-1535
Omayma AlshaarawyDepartment of Family Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, United States of America.
Harland T HolmanDepartment of Family Medicine, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScreening for mental health problems has been shown to be effective to detect depression and initiate treatment in primary care. Current guidelines recommend periodic screening for depression and anxiety. This study examines the association of patient sociodemographic factors and clinic characteristics on mental health screening in primary care.

designIn this retrospective cohort study, electronic medical record (EMR) data from a 14-month period from 10/15/2021 to 12/14/2022 were analyzed. Data were retrieved from 18 primary care clinics from the Corewell Health healthcare system in West Michigan. The main outcome was documentation of any Patient Health Questionnaire (PHQ-4/PHQ-9/GAD-7) screening in the EMR within the 14-month period at patient level. General linear regression models with logit link function were used to assess adjusted odds ratio (aOR) of having a documented screening.

resultsIn total, 126,306 unique patients aged 16 years or older with a total of 291,789 encounters were included. The prevalence of 14-month screening was 79.8% (95% CI, 79.6-80.0). Regression analyses revealed higher screening odds for patients of smaller clinics (<5,000 patients, aOR 1.88; 95% CI 1.80-1.98 vs. clinics >10.000 patients), clinics in areas with mental health provider shortages (aOR 1.69; 95% CI 1.62-1.77), frequent visits (aOR 1.80; 95% CI, 1.78-1.83), and having an annual physical / well child visit encounter (aOR 1.52; 95% CI, 1.47-1.57). Smaller positive effect sizes were also found for male sex, Black or African American race, Asian race, Latinx ethnicity (ref. White/Caucasians), and having insurance through Medicaid (ref. other private insurance). DISCUSSION: The 14-month mental health screening rates have been shown to be significantly lower among patients with infrequent visits seeking care in larger clinics and available mental health resources in the community. Introducing and incentivizing mandatory mental health screening protocols in annual well visits, are viable options to increase screening rates.

Indexed as

Mental HealthSociodemographic FactorsAdolescentFemaleHumansMaleMass ScreeningPrimary Health CareRetrospective StudiesUnited States

Identifiers

PMID38547139
PMCPMC10977679

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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.