Evidence map›Paper›PMID 39799819›Full record

ArticlePsychiatry research2025

Gaps in psychiatric care before and after the COVID-19 pandemic among patients with depression using electronic health records.

Catherine K Ettman, Carly Lupton Brantner, Elena Badillo Goicoechea, Priya Dohlman, Grace V Ringlein, Jason Straub, Sazal Sthapit, Ramin Mojtabai, Stanislav Spivak, Michael Albert and 3 more

Abstract read
In one paragraph

Article in Psychiatry research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Catherine K EttmanDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, MD, United States. Electronic address: Cettman1@jhu.edu.
Carly Lupton BrantnerDepartment of Biostatistics and Bioinformatics, Duke University, North Carolina, United States.
Elena Badillo GoicoecheaDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Maryland, United States.
Priya DohlmanUniversity of Maryland School of Medicine, Maryland, United States.
Grace V RingleinDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Maryland, United States.
Jason StraubDepartment of Psychiatry, Johns Hopkins School of Medicine, Maryland, United States.
Sazal SthapitDepartment of Psychiatry, Johns Hopkins School of Medicine, Maryland, United States.
Ramin MojtabaiDepartment of Psychiatry and Behavioral Sciences, Tulane Medical School, Louisiana, United States.
Stanislav SpivakDepartment of Psychiatry, Johns Hopkins School of Medicine, Maryland, United States.
Michael AlbertDepartment of Medicine, Johns Hopkins School of Medicine, Maryland, United States.
Fernando S GoesDepartment of Psychiatry, Johns Hopkins School of Medicine, Maryland, United States.
Elizabeth A StuartDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Maryland, United States.
Peter P ZandiDepartment of Psychiatry, Johns Hopkins School of Medicine, Maryland, United States.

Funding

EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Combining data sources to identify effect moderation for personalized mental health treatmentR01MH126856 · NIMH · JOHNS HOPKINS UNIVERSITY · PI STUART, ELIZABETH A. · 2021 to 2024
$1.7M
NIA NIH HHS T32 AG000247NIMH NIH HHS R01 MH126856
6 · The paper itself

Abstract

The COVID-19 pandemic caused disruption to health services. It is unclear if there were inequalities in the continuity of mental health care in the years around the COVID-19 pandemic. We used electronic health records (EHR) to detect mental health care gaps of more than six months in psychiatric appointments across demographic and socioeconomic characteristics among patients with depression. The analysis included patients with depression who were seen at one of two mental health clinics every year of 2018, 2019, 2021, and 2022 (n = 783 patients). First, we found that the odds of mental health care gaps significantly decreased in the post-pandemic period (2021-2022) relative to the pre-pandemic period (2018-2019). Second, in the pre-pandemic period, patients who lived in areas in the highest tertile of deprivation had greater odds of gaps in mental health care relative to those in the lowest tertile (aOR: 2.18 [95 % CI: 1.02, 4.68]). Males had higher odds of gaps in care than females in the post-pandemic period (aOR: 2.22 [1.13, 4.37]) and the pooled pre- and post-pandemic study period (aOR: 1.58 [1.04, 2.40]). Third, interactions between patient characteristics and time were not significant, suggesting that the change in the odds of gaps of mental health care before relative to after the COVID-19 pandemic did not differ significantly based on patient characteristics. Overall, gaps in care decreased in the post-pandemic period relative to the pre-pandemic period among almost all patient groups.

Indexed as

COVID-19DepressionElectronic Health RecordsHealthcare DisparitiesMental Health ServicesAdultAgedFemaleHumansMaleMiddle AgedYoung AdultCOVID-19 pandemicElectronic health recordsEpidemiologic methodsHealthcare disparitiesMental health servicesMood disordersPsychiatry and sociology

Identifiers

PMID39799819
PMCPMC11785417

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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.