ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Untangling the complex web of avoidable nursing home-to-hospital transfers of residents with dementia.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Characterizing nursing home care team communication via text messaging: A social network analysis.International journal of medical informatics · 2026Article
- Using novel natural language processing approaches to examine age-friendly communication about nursing Nome residents with dementia.The Gerontologist · 2026Article
- Clinical Performance of the Remote After-Hours Telemedicine Medical Officer of the Day (Tele-MOD) Program: A Cohort Study.Journal of the American Medical Directors Association · 2026Article
- Article
- Development and evaluation of a 4M taxonomy from nursing home staff text messages using a fine-tuned generative language model.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Untangling the complex web of avoidable nursing home-to-hospital transfers of residents with dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
introductionNursing home (NH) residents with Alzheimer's disease or related dementias (ADRD) are at high risk for hospital transfer. We aimed to (1) describe characteristics and predictors of avoidable transfer of residents with ADRD and (2) explore how "what matters" influences the decision to transfer.
methodsWe applied an exploratory, mixed methods design using data collected as part of a Centers for Medicare and Medicaid Services demonstration project. Advanced practice registered nurses documented retrospective details about nursing home (NH)-to-hospital transfers (n = 3687) from 16 NHs.
resultsNH residents with ADRD had 1.22 times higher odds of having an avoidable NH-to-hospital transfer (odds ratio = 1.22; 95% confidence interval = 1.03, 1.45). Factors contributing to avoidable transfers were age, stage of ADRD, what matters to the resident and their family, changes in condition, and resources available in the NH. DISCUSSION: These findings highlight the need for enhanced specificity in the discussion and documentation of resident and family preferences and continued investments in the NH workforce. HIGHLIGHTS: This article reports on factors contributing to avoidable nursing home (NH)-to-hospital transfer of residents with Alzheimer's disease and related dementias (ADRD). The mixed methods design used in this study offers insight beyond what is possible using a single-method design. Using data collected from a Centers for Medicare and Medicaid Services demonstration project, advanced practice registered nurses documented retrospective details about NH-to-hospital transfers (n = 3687) of residents. NH residents with ADRD were more likely to have an avoidable NH-to-hospital transfer. Factors contributing to avoidable transfers were age, stage of ADRD, what matters to the resident and their family, changes in condition, and resources available in the NH. These findings highlight the need for enhanced specificity in discussion and documentation of resident and family preferences and continued investments in the NH workforce.
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