Evidence map›Paper›PMID 34243769›Full record

ArticleBMC health services research2021

Does rehabilitation setting influence risk of institutionalization? A register-based study of hip fracture patients in Oslo, Norway.

Rina Moe Fosse, Eliva Atieno Ambugo, Tron Anders Moger, Terje P Hagen, Trond Tjerbo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Comparing home-based and institutional rehabilitation for community-dwelling hip fracture patients: a matched cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Rina Moe FosseDepartment of Health Management and Health Economics, University of Oslo, Blindern, PO box 1089, 0317, Oslo, Norway. r.m.fosse@medisin.uio.no.
Eliva Atieno AmbugoDepartment of Health, Social and Welfare Studies, University of South-Eastern Norway, Horten, Norway.
Tron Anders MogerDepartment of Health Management and Health Economics, University of Oslo, Blindern, PO box 1089, 0317, Oslo, Norway.
Terje P HagenDepartment of Health Management and Health Economics, University of Oslo, Blindern, PO box 1089, 0317, Oslo, Norway.
Trond TjerboDepartment of Health Management and Health Economics, University of Oslo, Blindern, PO box 1089, 0317, Oslo, Norway.
University of Oslo · NOUniversity of South-Eastern Norway · NO

Funding

Norges Forskningsråd 229092Norges Forskningsråd 2726709
6 · The paper itself

Abstract

backgroundReducing the economic impact of hip fractures (HF) is a global issue. Some efforts aimed at curtailing costs associated with HF include rehabilitating patients within primary care. Little, however, is known about how different rehabilitation settings within primary care influence patients' subsequent risk of institutionalization for long-term care (LTC). This study examines the association between rehabilitation setting (outside an institution versus short-term rehabilitation stay in an institution, both during 30 days post-discharge for HF) and risk of institutionalization in a nursing home (at 6-12 months from the index admission).

methodsData were for 612 HF incidents across 611 patients aged 50 years and older, who were hospitalized between 2008 and 2013 in Oslo, Norway, and who lived at home prior to the incidence. We used logistic regression to examine the effect of rehabilitation setting on risk of institutionalization, and adjusted for patients' age, gender, health characteristics, functional level, use of healthcare services, and socioeconomic characteristics. The models also included fixed-effects for Oslo's boroughs to control for supply-side and unobserved effects.

resultsThe sample of HF patients had a mean age of 82.4 years, and 78.9 % were women. Within 30 days after hospital discharge, 49.0 % of patients received rehabilitation outside an institution, while the remaining 51.0 % received a short-term rehabilitation stay in an institution. Receiving rehabilitation outside an institution was associated with a 58 % lower odds (OR = 0.42, 95 % CI = 0.23-0.76) of living in a nursing home at 6-12 months after the index admission. The patients who were admitted to a nursing home for LTC were older, more dependent on help with their memory, and had a substantially greater increase in the use of municipal healthcare services after the HF.

conclusionsThe setting in which HF patients receive rehabilitation is associated with their likelihood of institutionalization. In the current study, patients who received rehabilitation outside of an institution were less likely to be admitted to a nursing home for LTC, compared to those who received a short-term rehabilitation stay in an institution. These results suggest that providing rehabilitation at home may be favorable in terms of reducing risk of institutionalization for HF patients.

Indexed as

AftercareHip FracturesAgedAged, 80 and overFemaleHumansInstitutionalizationMiddle AgedNorwayPatient DischargeHealthcare useHip fractureInstitutionalizationNursing home placementRehabilitation

Identifiers

PMID34243769
PMCPMC8268388
OpenAlexW3178961805

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.