Evidence map›Paper›PMID 35832205›Full record

ArticleInnovation in aging2022

The Avoidable Transfer Scale: A New Tool for Identifying Potentially Avoidable Hospital Transfers of Nursing Home Residents.

Jennifer L Carnahan, Kathleen T Unroe, Russell Evans, Sarah Klepfer, Timothy E Stump, Patrick O Monahan, Alexia M Torke

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jennifer L CarnahanDepartment of Medicine, Division of General Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0001-9964-4735
Kathleen T UnroeDepartment of Medicine, Division of General Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Russell EvansProbari Inc., Indianapolis, Indiana, USA.
Sarah KlepferProbari Inc., Indianapolis, Indiana, USA.
Timothy E StumpDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Patrick O MonahanDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Alexia M TorkeDepartment of Medicine, Division of General Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Regenstrief Institute · USIndiana University School of Medicine

Funding

Understanding the needs and experiences of surrogate decision makers caring for SGM individuals with Alzheimer's Disease and Related Dementias.K24AG053794 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI TORKE, ALEXIA MARY · 2016 to 2025
$1.8M
The Coming Home After Rehabilitation and Transition from a Skilled nursing facility with Dementia Study (The CHARTS-D Study)K23AG062797 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI CARNAHAN, JENNIFER LYNN · 2020 to 2024
$902k
NIA NIH HHS K23 AG062797NIA NIH HHS K24 AG053794
6 · The paper itself

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.

Indexed as

Care transitionsEmergency DepartmentGeriatricsHospitalizationOlder adults

Identifiers

PMID35832205
PMCPMC9273404
OpenAlexW4280609426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.