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. 2021 Dec 17;5(Suppl 1):273. doi: 10.1093/geroni/igab046.1061

Predictors of Depression in Healthcare Patients at Risk of Self-Neglect

Miriam Rose 1, Farida Ejaz 1, Courtney Reynolds 2
PMCID: PMC8679481

Abstract

More than half of reports to Adult Protective Services agencies nationwide involve allegations of self-neglect. An intensive case management intervention for preventing self-neglect was evaluated in a longitudinal study conducted collaboratively by a large healthcare system, Adult Protective Services, and a gerontological research institute. Patients (444) who were older (60+ years) and/or disabled (18+ years) were randomly selected for participation from 19 primary-care clinics if they had risk factors for self-neglect, including depression, substance abuse, dementia, and/or impairment in activities of daily living. Average age was 68 years (SD=12.5), 68% were Hispanic, 68% had monthly income of less than $1,361, and 67% were female. Clinics were randomized into intervention and control groups. Intervention clinic patients received intensive case management services; control clinic patients received usual care, including social work services. Subjects were interviewed at baseline and four months later. The Stress Process Model guided a multiple regression analysis. Domains of background characteristics, primary and secondary stressors, and support (patients in intervention or control group) were entered in blocks to predict depression levels at post-test. While no significant differences were found in post-test depression levels between intervention and controls, the final model was statistically significant (adjusted R2=.452). Significant predictors of depression were: younger age (disabled adults), poorer self-rated physical and emotional health, greater loneliness, and less social support. Future analyses will examine effects of moderating variables on post-test depression levels. Practice implications of preliminary analyses include addressing disabled adults’ mental health needs, especially if they are isolated and lack social support.


Articles from Innovation in Aging are provided here courtesy of Oxford University Press

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