Evidence map›Paper›PMID 40450594›Full record

ArticleInternational journal of geriatric psychiatry2025

Depressive Symptoms Before and During the COVID-19 Pandemic in Veteran Nursing Home Residents.

Madeline B Benz, James L Rudolph, Frank DeVone, Thomas A Bayer, Alexander Garbin, Mriganka Singh, Stefan Gravenstein, Scotte Hartronft, Rhonda Toms, Brandon A Gaudiano and 2 more

Abstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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

2 citing papers in PubMed.

  1. 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

12 authors.

Madeline B BenzPsychosocial Research Program, Butler Hospital, Providence, Rhode Island, USA.
James L RudolphCenter of Innovation on Transformative Health Systems Research to Improve Veteran Equity and Independence, Providence VA Healthcare System, Providence, Rhode Island, USA.
Frank DeVoneCenter of Innovation on Transformative Health Systems Research to Improve Veteran Equity and Independence, Providence VA Healthcare System, Providence, Rhode Island, USA.
Thomas A BayerCenter of Innovation on Transformative Health Systems Research to Improve Veteran Equity and Independence, Providence VA Healthcare System, Providence, Rhode Island, USA.
Alexander GarbinVA Eastern Colorado Geriatric Research, Education, and Clinical Center (GRECC), VA Eastern Colorado Health Care System, Aurora, Colorado, USA.
Mriganka SinghCenter of Innovation on Transformative Health Systems Research to Improve Veteran Equity and Independence, Providence VA Healthcare System, Providence, Rhode Island, USA.
Stefan GravensteinCenter of Innovation on Transformative Health Systems Research to Improve Veteran Equity and Independence, Providence VA Healthcare System, Providence, Rhode Island, USA.
Scotte HartronftOffice of Geriatrics and Extended Care, Veterans Health Administration, Washington, District of Columbia, USA.
Rhonda TomsOffice of Geriatrics and Extended Care, Veterans Health Administration, Washington, District of Columbia, USA.
Brandon A GaudianoPsychosocial Research Program, Butler Hospital, Providence, Rhode Island, USA.
Jane MetrikDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Julia BrowneDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.

Funding

Postdoctoral Training in Suicide ResearchT32MH126426 · NIMH · BROWN UNIVERSITY · PI IVAN W. MILLER, LAUREN M WEINSTOCK · 2021 to 2026
$1.8M
NIMH NIH HHS T32 MH126426RRD VA IK2 RX005010VA Health System Research C19-20-215VA Health System Research CIN-13-419VA Rehabilitation Research and Development IK2RX005010
6 · The paper itself

Abstract

objectivesInfection control measures in the Department of Veterans Affairs Community Living Centers (CLCs), analogous to nursing homes, during the COVID-19 pandemic may have impacted residents' mental health. The purpose of this study was to examine changes in depressive symptoms before and during the COVID-19 pandemic in CLC residents.

methodsThis cross-sectional national cohort study evaluated depressive symptoms in Veteran CLC residents from geographically diverse CLCs across four 9-month periods of the COVID-19 pandemic: pre (before COVID-19), early (before vaccine), mid (before booster), and late (after booster). Depressive symptoms were assessed with the Patient Health Questionnaire (PHQ-9), a standardized depression assessment, which is a required measure in the Minimum Data Set (MDS). We computed change in PHQ-9 scores from the initial to the last PHQ-9 assessment for each pandemic period. We also performed a focused analysis of residents with a past year depression diagnosis.

resultsThe overall sample comprised 47,755 Veteran CLC residents, 43% percent (n = 20,554) of whom had a depression diagnosis. The overall cohort mean PHQ-9 scores were similar across pandemic periods (pre = 2.64, early = 2.48, mid = 2.61, late = 2.45). There was intra-resident decline in PHQ-9 during each period which was statistically, but not clinically significant (pre = -0.54, early = -0.47, mid = -0.55, late = -0.49). Residents with a depression diagnosis followed a similar pattern for scores and decline in the periods compared with the full sample. PHQ-9 average scores indicated minimal depression even among those with a depression diagnosis, limiting ability to detect changes over time.

conclusionsFor CLC residents during the COVID-19 pandemic, PHQ-9 scores were not meaningfully different between time periods. Characteristics of the study (e.g., sample/setting) or of older adults generally (e.g., resilience) may explain the low rates of depression.

Indexed as

COVID-19DepressionNursing HomesVeteransAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMalePandemicsSARS-CoV-2United StatesUnited States Department of Veterans Affairsgeriatricmeasurementolder adultsPHQ‐9Veterans

Identifiers

PMID40450594
PMCPMC12235538

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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.