Evidence map›Paper›PMID 39264933›Full record

ArticlePloS one2024

Implementation status of postoperative rehabilitation for older patients with hip fracture in Kyoto City, Japan: A population-based study using medical and long-term care insurance claims data.

Kosuke Sasaki, Yoshimitsu Takahashi, Mayumi Toyama, Hiroaki Ueshima, Tomoko Ohura, Satoe Okabayashi, Tomonari Shimamoto, Yukiko Tateyama, Hiroko Ikeuchi, Junichi Murakami and 4 more

Abstract read
In one paragraph

Article in PloS one, 2024. 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
–field-weighted citation impact
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. 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

14 authors.

Kosuke SasakiDepartment of Health Informatics, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-4772-8870
Yoshimitsu TakahashiDepartment of Health Informatics, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Mayumi ToyamaDepartment of Health Informatics, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroaki UeshimaCenter for Innovative Research and Education in Data Science, Institute for Liberal Arts and Sciences, Kyoto University, Kyoto, Japan.
Tomoko OhuraDepartment of Health Informatics, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Satoe OkabayashiAgency for Health, Safety and Environment, Kyoto University, Kyoto, Japan.ORCID 0000-0001-9919-6768
Tomonari ShimamotoDepartment of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yukiko TateyamaDepartment of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroko IkeuchiDepartment of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Junichi MurakamiDepartment of Orthopaedic Surgery, Kyoto Min-iren Chuo Hospital, Kyoto, Japan.
Noriko FuruitaDepartment of Obstetrics and Gynecology, Kyoto Min-iren Chuo Hospital, Kyoto, Japan.
Genta KatoDepartment of Hospital Ward Management, Kyoto University Hospital, Kyoto, Japan.
Taku IwamiDepartment of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takeo NakayamaDepartment of Health Informatics, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuing rehabilitation after hip fractures is recommended to improve physical function and quality of life. However, the long-term implementation status of postoperative rehabilitation is unclear. This study aims to investigate the implementation status of postoperative rehabilitation for older patients with hip fractures and the factors associated with continuing rehabilitation. A retrospective cohort study evaluated medical and long-term care insurance claims data of patients aged 75 years or older in Kyoto City, Japan, who underwent hip fracture surgeries from April 2013 to October 2018. We used logistic regression analysis to examine factors associated with six-month rehabilitation continuation. Of the 8,108 participants, 8,037 (99%) underwent rehabilitation the first month after surgery, but only 1,755 (22%) continued for six months. The following variables were positively associated with continuing rehabilitation for six months: males (adjusted odds ratio: 1.41 [95% confidence interval: 1.23-1.62]), an intermediate frailty risk (1.50 [1.24-1.82]), high frailty risk (2.09 [1.69-2.58]) estimated using the hospital frailty risk scores, and preoperative care dependency levels: support level 1 (1.69 [1.28-2.23]), support level 2 (2.34 [1.88-2.90]), care-need level 1 (2.04 [1.68-2.49]), care-need level 2 (2.42 [2.04-2.89]), care-need level 3 (1.45 [1.19-1.76]), care-need level 4 (1.40 [1.12-1.75]), and care-need level 5 (1.31 [0.93-1.85]). In contrast, dementia was cited as a disincentive (0.53 [0.45-0.59]). Less than 30% of older patients continued rehabilitation for six months after surgery. Factors associated with continuing rehabilitation were male sex, higher frailty risk, care dependency before hip fracture surgeries, and non-dementia.

Indexed as

Hip FracturesInsurance, Long-Term CareAgedAged, 80 and overFemaleFrailtyHumansJapanMalePostoperative PeriodQuality of LifeRetrospective Studies

Identifiers

PMID39264933
PMCPMC11392384

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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.