ArticleInnovation in aging2022
The Avoidable Transfer Scale: A New Tool for Identifying Potentially Avoidable Hospital Transfers of Nursing Home Residents.
Article in Innovation in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Assessment tools addressing avoidable care transitions in older adults: a systematic literature review.European geriatric medicine · 2024Pooled it
- Evidence Base for the Future of Nursing Homes: Special Issue.Innovation in aging · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Background and Objectives: Prior approaches to identifying potentially avoidable hospital transfers (PAHs) of nursing home residents have involved detailed root cause analyses that are difficult to implement and sustain due to time and resource constraints. They relied on the presence of certain conditions but did not identify the specific issues that contributed to avoidability. We developed and tested an instrument that can be implemented using review of the electronic medical record. Research Design and Methods: The OPTIMISTIC project was a Centers for Medicare and Medicaid Services demonstration to reduce avoidable hospital transfers of nursing home residents. The OPTIMISTIC team conducted a series of root cause analyses of transfer events, leading to development of a 27-item instrument to identify common characteristics of PAHs (Stage 1). To refine the instrument, project nurses used the electronic medical record (EMR) to score the avoidability of transfers to the hospital for 154 nursing home residents from 7 nursing homes from May 2019 through January 2020, including their overall impression of whether the transfer was avoidable (Stage 2). Each transfer was rated independently by 2 nurses and assessed for interrater reliability with a kappa statistic. Results: Kappa scores ranged from -0.045 to 0.556. After removing items based on our criteria, 12 final items constituted the Avoidable Transfer Scale. To assess validity, we compared the 12-item scale to nurses' overall judgment of avoidability of the transfer. The 12-item scale scores were significantly higher for submissions rated as avoidable than those rated unavoidable by the nurses (mean 5.3 vs 2.6, Discussion and Implications: The 12-item Avoidable Transfer Scale provides an efficient approach to identify and characterize PAHs using available data from the EMR. Increased ability to quantitatively assess the avoidability of resident transfers can aid nursing homes in quality improvement initiatives to treat more acute changes in a resident's condition in place.
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Registered trials
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