Abstract | INTRODUCTION: Suicide is a leading cause of mortality in the United States and recent initiatives have sought to increase monitoring of suicide risk within healthcare systems. Working-age adults (22-64 years) admitted to nursing homes may be at risk for suicidal ideation, yet little is known about this population. METHODS: The national nursing home database, Minimum Dataset 3.0, was used to identify 323,436 working-age adults newly admitted to a nursing home in 2015. This cross-sectional study sought to describe sociodemographic and clinical characteristics, examine behavioral health treatment received, and determine resident characteristics associated with suicidal ideation at nursing home admission using logistic regression and reports adjusted odds ratios (aOR). RESULTS: LIMITATIONS: Due to the cross-sectional nature of this study, no causal inferences about suicidal ideation and the explored covariates can be made. The Minimum Dataset 3.0 has only one measure of suicidal ideation the Patient Health Questionnaire. CONCLUSION: Factors other than psychiatric diagnosis may be important in identifying newly admitted working-age nursing home residents who require on-going suicide screening and specialized psychiatric care.
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Authors | Julie Hugunin, Yiyang Yuan, Anthony J Rothschild, Kate L Lapane, Christine M Ulbricht |
Journal | Journal of affective disorders
(J Affect Disord)
Vol. 295
Pg. 243-249
(12 01 2021)
ISSN: 1573-2517 [Electronic] Netherlands |
PMID | 34482055
(Publication Type: Journal Article, Research Support, N.I.H., Extramural)
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Copyright | Copyright © 2021. Published by Elsevier B.V. |
Topics |
- Adult
- Cross-Sectional Studies
- Humans
- Middle Aged
- Nursing Homes
- Risk Factors
- Suicidal Ideation
- Suicide
- United States
(epidemiology)
- Young Adult
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