Evidence map›Paper›PMID 36878263›Full record

ArticleJournal of the American Medical Directors Association2023

Nursing Home to Nursing Home Transfers during the Early COVID-19 Pandemic.

Chiang-Hua Chang, Pil Park, Julie Pw Bynum, Ana Montoya

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Chiang-Hua ChangInstitute for Health Policy and Innovation, University of Michigan, Ann Arbor, MI, USA. Electronic address: chianghc@med.umich.edu.
Pil ParkDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Julie Pw BynumInstitute for Health Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Ana MontoyaInstitute for Health Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
NIA NIH HHS P30 AG024824
6 · The paper itself

Abstract

objectivesTo examine the nursing home to nursing home transfer rates before and during the early COVID-19 pandemic and to identify risk factors associated with those transfers in a state with a policy to create COVID-19-care nursing homes.

designCross-sectional cohorts of nursing home residents in prepandemic (2019) and COVID-19 (2020) periods. SETTING AND

participantsMichigan long-term nursing home residents were identified from the Minimum Data Set.

methodsEach year, we identified transfer events as a resident's first nursing home to nursing home transfer between March and December. We included residents' characteristics, health status, and nursing home characteristics to identify risk factors for transfer. Logistic regression models were conducted to determine risk factors for each period and changes in transfer rates between the 2 periods.

resultsCompared to the prepandemic period, the COVID-19 period had a higher transfer rate per 100 (7.7 vs 5.3, P < .05). Age ≥80 years, female sex, and Medicaid enrollment were associated with a lower likelihood of transfer for both periods. During the COVID-19 period, residents who were Black, with severe cognitive impairment, or had COVID-19 infection were associated with a higher risk of transfer [adjusted odds ratio (AOR) (95% CI): 1.46 (1.01-2.11), 1.88 (1.11-3.16), and 4.70 (3.30-6.68), respectively]. After adjusting for resident characteristics, health status, and nursing home characteristics, residents had 46% higher odds [AOR (95% CI): 1.46 (1.14-1.88)] of being transferred to another nursing home during the COVID-19 period compared to the prepandemic period. CONCLUSIONS AND IMPLICATIONS: In the early COVID-19 pandemic, Michigan designated 38 nursing homes to care for residents with COVID-19. We found a higher transfer rate during the pandemic than during the prepandemic period, especially among Black residents, residents with COVID-19 infection, or residents with severe cognitive impairment. Further investigation is warranted to understand the transfer practice better and if any policies would mitigate the transfer risk for these subgroups.

Indexed as

COVID-19PandemicsAged, 80 and overCross-Sectional StudiesFemaleHumansNursing HomesSkilled Nursing FacilitiesUnited StatesCOVID-19 policyNursing home to nursing home transfersrisk factors for transfers

Identifiers

PMID36878263
PMCPMC9915045
OpenAlexW4319877547

What OpenQuestion holds

Textmetadata
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.