Literature DB >> 28682841

A Systematic Review of Comorbidity Measurement Methods for Patients With Nontraumatic Brain Injury in Inpatient Rehabilitation Settings.

Wayne Khuu1, Vincy Chan, Angela Colantonio.   

Abstract

This review summarizes comorbidity measurements used on patients with nontraumatic brain injury in inpatient rehabilitation and describes findings on measurement validation and comorbidity profiles. MEDLINE and MEDLINE In-Process, EMBASE, PsycINFO, the Cochrane Database of Systematic Reviews, Health, and Psychosocial Measurement Instruments were searched. Two reviewers screened results according to predefined inclusion and exclusion criteria. Population, statistical methods, comorbidity measurement, justification of its use, and results involving comorbidity were extracted using a standard table. Of 9476 articles retrieved, 16 were included. Comorbidity has been measured using various methods including the following: number and type within various classification systems, such as the International Disease Classification system, the Charlson comorbidity index, Centers for Medicare and Medicaid Services comorbidity tiers and patient comorbidity and complexity level values and subsets of diagnoses within nonadministrative data studies. No studies have assessed the predictive ability of the comorbidity measurements for inpatient rehabilitation outcomes in this population. Because comorbidities are common among the nontraumatic brain injury population, the predictive validity of comorbidity measurements should be assessed to determine the most appropriate measure to predict or risk adjust rehabilitation outcomes, which has implications for the development of clinical guidelines, and to inform health service research, planning, and delivery.

Entities:  

Mesh:

Year:  2017        PMID: 28682841      PMCID: PMC5708847          DOI: 10.1097/PHM.0000000000000747

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  38 in total

1.  States of severely altered consciousness: clinical characteristics, medical complications and functional outcome after rehabilitation.

Authors:  Yee Sien Ng; Karen S G Chua
Journal:  NeuroRehabilitation       Date:  2005       Impact factor: 2.138

2.  Inpatient oncology rehabilitation in Toronto: a descriptive 18-month retrospective record review.

Authors:  Sara E McEwen; Sarah Elmi; Murray Waldman; Mila Bishev
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3.  Validity of ascertainment of co-morbid illness using administrative databases: a systematic review.

Authors:  J R Leal; K B Laupland
Journal:  Clin Microbiol Infect       Date:  2009-07-15       Impact factor: 8.067

4.  Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries.

Authors:  Hude Quan; Bing Li; Chantal M Couris; Kiyohide Fushimi; Patrick Graham; Phil Hider; Jean-Marie Januel; Vijaya Sundararajan
Journal:  Am J Epidemiol       Date:  2011-02-17       Impact factor: 4.897

Review 5.  Review of methods used to measure comorbidity in cancer populations: no gold standard exists.

Authors:  Diana Sarfati
Journal:  J Clin Epidemiol       Date:  2012-06-26       Impact factor: 6.437

6.  Current trends in the length of stay in neurological early rehabilitation.

Authors:  Jens D Rollnik; Uwe Janosch
Journal:  Dtsch Arztebl Int       Date:  2010-04-23       Impact factor: 5.594

7.  Impact of comorbidities on stroke rehabilitation outcomes: does the method matter?

Authors:  Dan R Berlowitz; Helen Hoenig; Diane C Cowper; Pamela W Duncan; W Bruce Vogel
Journal:  Arch Phys Med Rehabil       Date:  2008-10       Impact factor: 3.966

8.  Factors associated with living setting at discharge from inpatient rehabilitation after acquired brain injury in Ontario, Canada.

Authors:  Amy Chen; Vincy Chan; Brandon Zagorski; Daria Parsons; Angela Colantonio
Journal:  J Rehabil Med       Date:  2014-02       Impact factor: 2.912

9.  Prevalence of other diabetes-associated complications and comorbidities and its impact on health care charges among patients with diabetic neuropathy.

Authors:  Yang Zhao; Wenyu Ye; Kristina S Boye; John H Holcombe; Jerry A Hall; Ralph Swindle
Journal:  J Diabetes Complications       Date:  2008-10-18       Impact factor: 2.852

10.  Rehabilitation impact indices and their independent predictors: a systematic review.

Authors:  Gerald Choon-Huat Koh; Cynthia Huijun Chen; Robert Petrella; Amardeep Thind
Journal:  BMJ Open       Date:  2013-09-24       Impact factor: 2.692

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  1 in total

1.  Evaluation of published assessment tools for comorbidity in liver transplantation: a systematic review protocol.

Authors:  Zhi Qu; Jill Gwiasda; Harald Schrem; Alexander Kaltenborn; Lena Harries; Jan Beneke; Volker Amelung; Christian Krauth
Journal:  BMJ Open       Date:  2018-06-30       Impact factor: 2.692

  1 in total

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