Evidence map›Paper›PMID 26564253›Full record

ArticlePhysical therapy2016

Examining the Association Between Comorbidity Indexes and Functional Status in Hospitalized Medicare Fee-for-Service Beneficiaries.

Amit Kumar, James E Graham, Linda Resnik, Amol M Karmarkar, Anne Deutsch, Alai Tan, Soham Al Snih, Kenneth J Ottenbacher

Abstract read
In one paragraph

Article in Physical therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  18. Comparing Comorbidity Indices to Predict Post-Acute Rehabilitation Outcomes in Older Adults.American journal of physical medicine & rehabilitation · 2016
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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.

Amit KumarA. Kumar, PT, MPH, PhD, Division of Rehabilitation Sciences, University of Texas Medical Branch, 301 University Blvd, Rte 1137, Galveston, TX 77555-1137 (USA). amkumar@utmb.edu.
James E GrahamJ.E. Graham, PhD, DC, Division of Rehabilitation Sciences, University of Texas Medical Branch.
Linda ResnikL. Resnik, PT, PhD, Department of Health Services, Policy and Practice, Brown University, Providence, Rhode Island, and Providence VA Medical Center, Providence, Rhode Island.
Amol M KarmarkarA.M. Karmarkar, PhD, MPH, Division of Rehabilitation Sciences, University of Texas Medical Branch.
Anne DeutschA. Deutsch, RN, PhD, CRRN, RTI International, Washington, DC, and Rehabilitation Institute of Chicago, Chicago, Illinois.
Alai TanA. Tan, MD, PhD, Institute for Translational Sciences, University of Texas Medical Branch.
Soham Al SnihS. Al Snih, MD, PhD, Division of Rehabilitation Sciences, University of Texas Medical Branch, and Sealy Center on Aging, University of Texas Medical Branch.
Kenneth J OttenbacherK.J. Ottenbacher, PhD, OTR, Division of Rehabilitation Sciences, University of Texas Medical Branch, and Sealy Center on Aging, University of Texas Medical Branch.

Funding

Rehabilitation Research Career Development ProgramK12HD055929 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BROWN, DAVID A · 2007 to 2021
$11.7M
Technique Development CoreP2CHD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2015 to 2019
$5.2M
Center for Rehabilitation Research Using Large DatasetsR24HD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2010 to 2014
$4.0M
Hospital Readmission and Inpatient Medical RehabilitationR01HD069443 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2012 to 2015
$927k
NICHD NIH HHS K12 HD055929NICHD NIH HHS P2C HD065702NICHD NIH HHS R01 HD069443NICHD NIH HHS R01-HD069443NICHD NIH HHS R24 HD065702NICHD NIH HHS R24-HD065702
6 · The paper itself

Abstract

backgroundMedicare data from acute hospitals do not contain information on functional status. This lack of information limits the ability to conduct rehabilitation-related health services research.

objectiveThe purpose of this study was to examine the associations between 5 comorbidity indexes derived from acute care claims data and functional status assessed at admission to an inpatient rehabilitation facility (IRF). Comorbidity indexes included tier comorbidity, Functional Comorbidity Index (FCI), Charlson Comorbidity Index, Elixhauser Comorbidity Index, and Hierarchical Condition Category (HCC).

designThis was a retrospective cohort study.

methodsMedicare beneficiaries with stroke, lower extremity joint replacement, and lower extremity fracture discharged to an IRF in 2011 were studied (N=105,441). Data from the beneficiary summary file, Medicare Provider Analysis and Review (MedPAR) file, and Inpatient Rehabilitation Facility-Patient Assessment Instrument (IRF-PAI) file were linked. Inpatient rehabilitation facility admission functional status was used as a proxy for acute hospital discharge functional status. Separate linear regression models for each impairment group were developed to assess the relationships between the comorbidity indexes and functional status. Base models included age, sex, race/ethnicity, disability, dual eligibility, and length of stay. Subsequent models included individual comorbidity indexes. Values of variance explained (R(2)) with each comorbidity index were compared.

resultsBase models explained 7.7% of the variance in motor function ratings for stroke, 3.8% for joint replacement, and 7.3% for fracture. The R(2) increased marginally when comorbidity indexes were added to base models for stroke, joint replacement, and fracture: Charlson Comorbidity Index (0.4%, 0.5%, 0.3%), tier comorbidity (0.2%, 0.6%, 0.5%), FCI (0.4%, 1.2%, 1.6%), Elixhauser Comorbidity Index (1.2%, 1.9%, 3.5%), and HCC (2.2%, 2.1%, 2.8%). LIMITATION: Patients from 3 impairment categories were included in the sample.

conclusionsThe 5 comorbidity indexes contributed little to predicting functional status. The indexes examined were not useful as proxies for functional status in the acute settings studied.

Indexed as

ComorbidityStroke RehabilitationAgedAged, 80 and overArthroplasty, ReplacementDisability EvaluationFee-for-Service PlansFemaleFractures, BoneHealth Services ResearchHumansInpatientsLeg InjuriesMaleMedicareRehabilitation Centers

Identifiers

PMID26564253
PMCPMC4752680

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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.