Evidence map›Paper›PMID 26836951›Full record

ArticleArchives of physical medicine and rehabilitation2016

Self-Care and Mobility Following Postacute Rehabilitation for Older Adults With Hip Fracture: A Multilevel Analysis.

Michael P Cary, Wei Pan, Richard Sloane, Janet Prvu Bettger, Helen Hoenig, Elizabeth I Merwin, Ruth A Anderson

Abstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Discharge destination following hip fracture in Canada among previously community-dwelling older adults, 2004-2012: database study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    Article
  8. Article
  9. Observational
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.

Michael P CaryDuke University School of Nursing, Durham, NC. Electronic address: michael.cary@duke.edu.
Wei PanDuke University School of Nursing, Durham, NC.
Richard SloaneCenter for the Study of Aging, School of Medicine, Duke University, Durham, NC.
Janet Prvu BettgerDuke University School of Nursing, Durham, NC.
Helen HoenigPhysical Medicine & Rehabilitation Service, Durham Veterans Affairs Medical Center, Durham, NC; Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC.
Elizabeth I MerwinDuke University School of Nursing, Durham, NC.
Ruth A AndersonDuke University School of Nursing, Durham, NC.

Funding

OUTCOMES OF NURSING MANAGEMENT PRACTICE IN NURSING HOMESR01NR003178 · NINR · UNIVERSITY OF TEXAS AUSTIN · PI ANDERSON, RUTH A, COLON-EMERIC, CATHLEEN S · 1994 to 2015
$5.5M
Scholarship and Mentoring CoreP30NR014139 · NINR · DUKE UNIVERSITY · PI BAILEY, DONALD E, DOCHERTY, SHARRON L · 2012 to 2016
$2.3M
NINR NIH HHS P30 NR014139NINR NIH HHS R01 NR003178
6 · The paper itself

Abstract

objectiveTo examine contextual (facility and community) and individual factors associated with self-care and mobility outcomes among Medicare hip fracture patients receiving inpatient rehabilitation.

designRetrospective cohort study of 3 linked data files: Inpatient Rehabilitation Facility-Patient Assessment Instrument, Provider of Services, and Area Health Resources. Multilevel modeling was used to examine the effects of contextual and individual factors on self-care and mobility outcomes.

settingInpatient rehabilitation facilities (IRFs).

participantsMedicare hip fracture patients (N=35,264; mean age, 81y) treated in IRFs (N=1072) in 2012.

interventionsNot applicable.

main outcome measuresSelf-care (eating, grooming, bathing, upper and lower body dressing, toileting) and mobility (walk/wheelchair, stairs) at discharge.

resultsMean ± SD self-care and mobility scores at admission were 3.17±.87 and 1.24±.51, respectively; mean ± SD self-care and mobility scores at discharge were 5.03±1.09 and 3.31±1.54, respectively. Individual and contextual levels explained 44.4% and 21.6% of the variance in self-care at discharge, respectively, and 19.5% and 1.9% of the variance in mobility at discharge, respectively. At the individual level, age, race/ethnicity, cognitive and motor FIM scores at admission, and tier comorbidities explained variance in self-care and mobility; sex and length of stay explained variance only in self-care. At the contextual level, facilities' case mix (mean patient age, percent non-Hispanic white, mean self-care score at admission) and structural characteristics (rural location, freestanding, for-profit ownership) explained variance only in self-care; facilities' case mix (mean patient age, percent non-Hispanic white, percent living with social support, mean mobility score at admission) explained variance in mobility. Community variables were nonsignificant.

conclusionsIndividual and facility factors were significant predictors of discharge self-care and mobility among Medicare hip fracture patients in IRFs. The findings may improve quality of IRF services to hip fracture patients and inform risk adjustment methods.

Indexed as

AgedAged, 80 and overFemaleHip FracturesHumansLength of StayMaleMedicareMultilevel AnalysisPatient DischargeRecovery of FunctionRehabilitation CentersRetrospective StudiesSelf CareTreatment OutcomeUnited StatesHealth services researchHip fracturesMedicareOutcome assessment (health care)RehabilitationRehabilitation centers

Identifiers

PMID26836951
PMCPMC5823692

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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.