ArticleAging & mental health2018
Factors associated with depression detection in a New Hampshire mental health outreach program.
Article in Aging & mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
The trial behind it
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Diagnostic error in mental health: a review.BMJ quality & safety · 2024Review
- Association Between Multimorbidity and Depressive Symptom Among Community-Dwelling Elders in Eastern China.Clinical interventions in aging · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesFor mental health outreach programs for older adults, accurately detecting depression is key to quality service provision. Multiple factors, including gender, cognitive impairment, or recent bereavement may affect depression detection, but this is under-studied. Therefore, we sought to both establish rates of depressive symptom detection and to examine factors associated with inaccuracies of detecting depression among participants in a mental health outreach program serving older adults.
methodWe conducted a chart review of 1126 cases in an older adult-focused mental health outreach program in New Hampshire, the Referral Education Assistance & Prevention (REAP) program. Accuracy of depression detection was identified by comparing screen-positive scores for depressive symptoms on the 15-item Geriatric Depression Scale (GDS) to depression identification by counselors on a 'presenting concerns' list.
resultsInaccurate depression detection (positive on the GDS but depression not identified by counselors) occurred in 27.6% of cases. Multivariate regression analyses indicated that anxiety, cognitive concerns, and rurality were all associated with detection innaccuracy.
conclusionThis study appears to be the first to examine factors influencing depression detection in a mental health outreach program. Future efforts should help ensure that all older mental health outreach clients have depression detected at optimal rates.
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