Evidence map›Paper›PMID 30829408›Full record

ArticleHealth services research2019

Individual and neighborhood characteristics as predictors of depression symptom response.

Vanessa Panaite, Nicholas W Bowersox, Kara Zivin, Dara Ganoczy, Hyungjin Myra Kim, Paul N Pfeiffer

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Effects of Exercise on Memory Interference in Neuropsychiatric Disorders.Advances in experimental medicine and biology · 2020
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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 3 institutions in 2 countries.

Vanessa PanaiteJames A. Haley Veterans' Hospital, Tampa, Florida.ORCID 0000-0003-4958-7992
Nicholas W BowersoxVA QUERI Center for Evaluation and Implementation Resources (CEIR), Ann Arbor, Michigan.
Kara ZivinDepartment of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan.
Dara GanoczyVA Center for Clinical Management Research (CCMR), Ann Arbor, Michigan.
Hyungjin Myra KimVA Center for Clinical Management Research (CCMR), Ann Arbor, Michigan.
Paul N PfeifferDepartment of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan.
University of Michigan · USUniversity of South Florida · USVA Center for Clinical Management Research · US

Funding

HSRD VA I01 HX001755VA Health Services Research & Development Service IIR 14-345
6 · The paper itself

Abstract

objectiveAssess whether neighborhood characteristics predict patient-reported outcomes for depression. DATA SOURCES: VA electronic medical record data and U.S. census data. STUDY

designRetrospective longitudinal cohort. DATA EXTRACTION

methodsNeighborhood and individual characteristics of patients (N = 4,269) with a unipolar depressive disorder diagnosis and an initial Patient Health Questionnaire (PHQ-9) score ≥10 were used to predict 50 percent improvement in 4-8-month PHQ-9 scores. PRINCIPAL

findingsThe proportion of a patient's neighborhood living in poverty (OR = 0.98; 95% CI: 0.97-.1.00; P = 0.03) was associated with lower likelihood of depression symptom improvement in addition to whether the patient was black (OR = 0.76; 95% CI:0.61-0.96; P = 0.02) had PTSD (OR = 0.59; 95% CI:0.50-0.69; P < 0.001) or had any service-connected disability (OR = 0.73; 95% CI:0.61-0.87; P < 0.001).

conclusionsNeighborhood poverty should be considered along with patient characteristics when determining likelihood of depression improvement.

Indexed as

AdultAgedDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedPovertyResidence CharacteristicsRetrospective StudiesSocioeconomic FactorsUnited StatesUnited States Department of Veterans AffairsadministrativedepressionimprovementneighborhoodVeterans

Identifiers

PMID30829408
PMCPMC6505422
OpenAlexW2918195174

What OpenQuestion holds

Textmetadata
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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.