Evidence map›Paper›PMID 27492451›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2017

Comorbidity Indices Versus Function as Potential Predictors of 30-Day Readmission in Older Patients Following Postacute Rehabilitation.

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

Abstract readComparative Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

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

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

  1. Utility of Functional Metrics Assessed During Acute Care on Hospital Outcomes: A Systematic Review.PM & R : the journal of injury, function, and rehabilitation · 2019
    Pooled it
  2. Trial
  3. Observational
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  5. Association of Caregiver Availability and Training With Patient Community Discharge After Stroke.Archives of rehabilitation research and clinical translation · 2023
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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

7 authors.

Amit KumarDepartment of Health Services, Policy and Practice, Brown University Providence, Rhode Island.
Amol M KarmarkarDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston.
James E GrahamDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston.
Linda ResnikDepartment of Health Services, Policy and Practice, Brown University Providence, Rhode Island.
Alai TanCollege of Nursing, The Ohio State University, Columbus.
Anne DeutschRTI International, Chicago, Illinois.
Kenneth J OttenbacherDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston. kottenba@utmb.edu.

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 GRAHAM, JAMES E. · 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
Comparing Access and Effectiveness of Post-Acute Care Settings Among Medicare BeneficiariesK01HD086290 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI KARMARKAR, AMOL · 2016 to 2020
$636k
NICHD NIH HHS K01 HD086290NICHD NIH HHS K12 HD055929NICHD NIH HHS P2C HD065702NICHD NIH HHS R01 HD069443NICHD NIH HHS R24 HD065702
6 · The paper itself

Abstract

backgroundInformation regarding the association of comorbidity indices with readmission risk for older adults receiving postacute care is limited. The purpose of this study was to compare the discriminatory ability of five comorbidity indices in predicting 30-day all-cause hospital readmission following discharge to the community from postacute inpatient rehabilitation facilities (IRF).

methodsThe sample included Medicare fee-for-service beneficiaries with stroke, lower extremity joint replacement, and fracture, discharged from IRF in 2011 (N = 75,582). Logistic regression models were used to predict 30-day all-cause readmission. Impairment-specific base models included demographic characteristics and length of stay. Subsequent models included individual comorbidity indices: Tier, Charlson, Elixhauser, functional comorbidity index (FCI), and the hierarchical condition category (HCC). We then added discharge functional status to each model. Results were compared using C-statistics.

resultsThirty-day readmission rates following discharge from an IRF ranged from 6.5% (joint replacement) to 14% (stroke). The C-statistics were 0.53, 0.56, and 0.55 for the base models in the stroke, joint replacement, and fracture groups, respectively. Adding the Tier, Charlson, FCI, or Elixhauser variables increased the C-statistics by 0.03-0.07 across the three impairment categories. Adding the HCC increased the C-statistics by 0.06-0.09. With the addition of discharge functional status in the model, the C-statistics further increased by 0.06-0.09.

conclusionsComorbidity indices were weakly associated with 30-day readmission in older adults discharged from postacute inpatient rehabilitation. Adding patient-level functional status to the comorbidity indices further improved the discriminatory ability to predict readmission in our sample.

Indexed as

AgedAged, 80 and overArthroplasty, ReplacementFemaleFractures, BoneHumansMalePatient ReadmissionRehabilitation CentersStroke RehabilitationSubacute CareTime FactorsComorbidity IndexHospital readmissionMedicarePostacute careRisk prediction

Identifiers

PMID27492451
PMCPMC5233915

What OpenQuestion holds

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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.