Evidence map›Paper›PMID 22939239›Full record

ArticlePM & R : the journal of injury, function, and rehabilitation2013

Patient-, treatment-, and facility-level structural characteristics associated with the receipt of preoperative lower extremity amputation rehabilitation.

Barbara E Bates, Richard Hallenbeck, Toni Ferrario, Pui L Kwong, Jibby E Kurichi, Margaret G Stineman, Dawei Xie

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in PM & R : the journal of injury, function, and rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Health Services Research in Rehabilitation and Disability-The Time is Now.Archives of physical medicine and rehabilitation · 2018
    Article
  2. 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 at 2 institutions in 1 country.

Barbara E BatesSamuel S. Stratton VAMC, 113 Holland Ave, Albany, NY 12208, USA. barbara.bates@va.gov
Richard Hallenbeck
Toni Ferrario
Pui L Kwong
Jibby E Kurichi
Margaret G Stineman
Dawei Xie
University of Pennsylvania · USAlbany Stratton VA Medical Center Albany · US

Funding

DO AMPUTEES BENEFIT FROM REHABILITATION SERVICES?R01HD042588 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI KIMMEL, STEPHEN E. · 2003 to 2012
$2.8M
NICHD NIH HHS R01 HD042588NICHD NIH HHS R01HD042588
6 · The paper itself

Abstract

objectivesTo determine patient, treatment, or facility characteristics that influence decisions to initiate a rehabilitation assessment before transtibial or transfemoral amputation within the Veterans Affairs (VA) health care system.

designRetrospective database study.

settingVA medical centers.

participantsA total of 4226 veterans with lower extremity amputations discharged from a VA medical center between October 1, 2002, and September 30, 2004. OUTCOME: Evidence of a preoperative rehabilitation assessment after the index surgical stay admission but before the surgical date.

resultsEvidence was found that 343 of 4226 veterans (8.12%) with lower extremity amputations received preoperative rehabilitation assessments. Veterans receiving preoperative rehabilitation were more likely to be older, admitted from home, or transferred from another hospital. Patients who underwent surgical amputation at smaller-sized hospitals or in the South Central or Mountain Pacific regions were more likely to receive preoperative rehabilitation compared with patients in mid-sized hospitals or in the Northeast, Southeast, or Midwest regions. Patients with evidence of paralysis, patients treated in facilities with programs accredited by the Commission on Accreditation of Rehabilitation Facilities (P < .01), and patients in the second data wave were less likely to receive preoperative rehabilitation. After accounting for patient-, treatment-, and facility-level structural characteristics, we found that older patients were more likely to receive preoperative rehabilitation services (odds ratio [OR] 1.01, 95% confidence interval [CI] 1.01-1.02). Patients with a contributing amputation etiology of a previous amputation complication were more likely to receive preoperative consultation rehabilitation services (OR 1.50, 95% CI 1.02-2.19) compared with patients who did not have this etiology. Compared with patients treated in the Southeast region of the United States, those treated in the South Central region (OR 2.52, 95% CI 1.82-3.48) or Mountain Pacific region (OR 1.62, 95% CI 1.11-2.37) were more likely to receive preoperative consultation rehabilitation services. Patients with evidence of paralysis were less likely to receive preoperative rehabilitative services compared with patients who did not have this condition (OR 0.29, 95% CI 0.09-0.93), and patients treated in mid-sized hospitals also were less likely to receive preoperative rehabilitative services compared with patients treated in smaller-sized facilities (OR 0.38, 95% CI 0.27-0.53). Veterans in the second data year were less likely to receive services compared with patients in the first year (OR 0.74, 95% CI 0.58-0.94).

conclusionsRehabilitation assessment before lower extremity amputation surgery is a rare occurrence in the VA health care system. Practice patterns appear to be driven by location and not by patient characteristics.

Indexed as

Hospitals, VeteransVeteransAgedAmputation, SurgicalFemaleHospitalizationHumansLower ExtremityMalePreoperative CareProspective StudiesUnited States

Identifiers

PMID22939239
PMCPMC3570975
OpenAlexW2015206527

What OpenQuestion holds

Textmetadata
LicenceTDM
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.