Evidence map›Paper›PMID 37715180›Full record

ArticleBMC geriatrics2023

Facility staffing associated with potentially avoidable hospitalizations in nursing home residents in Japan: a retrospective cohort study.

Yoko Hamasaki, Nobuo Sakata, Xueying Jin, Takehiro Sugiyama, Kojiro Morita, Kazuaki Uda, Shinya Matsuda, Nanako Tamiya

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 1 country.

Yoko HamasakiGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Nobuo SakataHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan. sakata.nobuo@md.tsukuba.ac.jp.
Xueying JinHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Takehiro SugiyamaHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Kojiro MoritaGlobal Nursing Research Center, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Kazuaki UdaHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Shinya MatsudaDepartment of Preventive Medicine and Community Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Nanako TamiyaHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
University of Tsukuba · JPNational Center for Geriatrics and Gerontology · JPNational Center for Global Health and Medicine · JPThe University of Tokyo · JPUniversity of Occupational and Environmental Health Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWide variations in facility staffing may lead to differences in care, and consequently, adverse outcomes such as hospitalizations. However, few studies focused on types of occupations. Therefore, we aimed to examine the association between a wide variety of facility staffing and potentially avoidable hospitalizations of nursing home residents in Japan.

methodsIn this retrospective cohort study using long-term care and medical insurance claims data in Ibaraki Prefecture from April 2018 to March 2019, we identified individuals aged 65 years and above who were newly admitted to nursing homes. In addition, facility characteristic data were obtained from the long-term care insurance service disclosure system. Subsequently, we conducted a multivariable Cox regression analysis and evaluated the association between facility staffing and potentially avoidable hospitalizations.

resultsA total of 2909 residents from 235 nursing homes were included. The cumulative incidence of potentially avoidable hospitalizations at 180 days was 14.2% (95% confidence interval [CI] 12.7-15.8). Facilities with full-time physicians (adjusted hazard ratio [HR]: 0.59, 95% CI: 0.37-0.94) and a higher number of dietitians (HR: 0.72, 95% CI: 0.54-0.97) were significantly associated with a lower likelihood of potentially avoidable hospitalizations. In contrast, having nurses or trained caregivers during the night shift (HR: 1.72, 95% CI: 1.25-2.36) and a higher number of care managers (HR: 1.37, 95% CI: 1.03-1.83) were significantly associated with a high probability of potentially avoidable hospitalizations.

conclusionsWe revealed that variations in facility staffing were associated with potentially avoidable hospitalizations. The results suggest that optimal allocation of human resources, such as dietitians and physicians, may be essential to reduce potentially avoidable hospitalizations. To provide appropriate care to nursing home residents, it is necessary to establish a system to effectively allocate limited resources. Further research is warranted on the causal relationship between staff allocation and unnecessary hospitalizations, considering the confounding factors.

Indexed as

HospitalizationNursing HomesHumansJapanRetrospective StudiesWorkforceJapanLong-term careNursing homesPotentially avoidable hospitalizations

Identifiers

PMID37715180
PMCPMC10504825
OpenAlexW4386773873

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.