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Systematic Reviews
Published in: Systematic Reviews 1/2015

Open Access 01-12-2015 | Protocol

A systematic review protocol for measuring comorbidity in inpatient rehabilitation for non-traumatic brain injury

Authors: Wayne Khuu, Vincy Chan, Angela Colantonio

Published in: Systematic Reviews | Issue 1/2015

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Abstract

Background

Comorbidity can affect health-care utilization and outcomes, and the results and interpretation of risk adjustment studies that attempt to predict rehabilitation utilization and outcomes are influenced by the choice of comorbidity measurement. Although the identification of an appropriate measurement has been conducted in some populations and outcomes, this information is currently lacking for the non-traumatic brain injury (nTBI) population in inpatient rehabilitation settings. As such, this is a systematic review protocol to survey the methods used to measure comorbidities in the rehabilitation setting for patients with nTBI.

Methods/design

MEDLINE, MEDLINE In-Process, Embase, The Cochrane Database of Systematic Reviews, PsycINFO, and Health and Psychosocial Instruments will be systematically searched using the concepts ‘nTBI,’ ‘comorbidity,’ and ‘rehabilitation.’ Grey matters and the reference list of eligible articles will also be searched. Study selection will be performed independently by two reviewers based on predetermined eligibility criteria through two rounds of screening using, first, the title and abstract, followed by full-text. Extracted information will include study purpose, design, and setting; data source and type; outcomes variables; statistical methods; comorbidity measurement method, rationale, justification, or validation; and results involving comorbidity. The data will be tabulated and narratively synthesized. Meta-analyses will be performed if appropriate.

Systematic review registration

This protocol has not been registered with PROSPERO.

Discussion

This protocol provides a systematic method for surveying current practice as well as monitoring the progress on comorbidity measurement methodology and effects of comorbidity on rehabilitation outcomes for patients with nTBI. The selection of an appropriate comorbidity measurement method has implications for the interpretation of both descriptive and risk adjustment studies, and thus, the validity of evidence used to inform planning and delivery of services.
Appendix
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Literature
1.
Colantonio A, Parsons D, Vander Laan R, Zagorski B: ABI dataset pilot project phase 1 report. 2009, 1–65.
2.
Chen A, Zagorski B, Parsons D, Vander Laan R, Chan V, Colantonio A: Factors associated with discharge destination from acute care after acquired brain injury in Ontario, Canada.BMC Neurol 2012, 12:16. 10.1186/1471-2377-12-16CrossRefPubMedPubMedCentral
3.
Chen A, Bushmeneva K, Zagorski B, Colantonio A, Parsons D, Wodchis WP: Direct cost associated with acquired brain injury in Ontario.BMC Neurol. 2012, 12:76. 10.1186/1471-2377-12-76CrossRefPubMedPubMedCentral
4.
Iezzoni LI: Risk adjusting rehabilitation outcomes.Am J Phys Med Rehabil. 2004, 83:316–26. 10.1097/01.PHM.0000118041.17739.BBCrossRefPubMed
5.
Berlowitz D, Stineman M: Risk adjustment in rehabilitation quality improvement.Top Stroke Rehabil. 2010, 17:252–61. 10.1310/tsr1704-252CrossRefPubMed
6.
Westert GP, Satariano WA, Schellevis FG, Van den Bos GAM: Patterns of comorbidity and the use of health services in the Dutch population.Eur J Public Health. 2001, 11:365–72. 10.1093/eurpub/11.4.365CrossRefPubMed
7.
Giaquinto S, Palma E, Maiolo I, Piro MT, Roncacci S, Sciarra A, et al.: Importance and evaluation of comorbidity in rehabilitation.Disabil Rehabil. 2001, 23:296–9. 10.1080/096382801750143643CrossRefPubMed
8.
Charlson ME, Pompei P, Ales KL, MacKenzie R: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.J Chronic Dis. 1987, 40:373–83. 10.1016/0021-9681(87)90171-8CrossRefPubMed
9.
Elixhauser A, Steiner C, Harris DR, Coffey RM: Measures for use with administrative data comorbidity.Med Care. 1998, 36:8–27. 10.1097/00005650-199801000-00004CrossRefPubMed
10.
Carter GM, Buntin MB, Kawata J, Paddock SM, Relles DA, Ridgeway GK, et al.: Analyses for the initial implementation of the inpatient rehabilitation facility prospective payment system. 2002.
11.
Carter G, Totten M: Preliminary analyses for refinement of the tier comorbidities in the inpatient rehabilitation facility prospective payment system. 2005, 1–39.
12.
Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al.: Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries.Am J Epidemiol. 2011, 173:676–82. 10.1093/aje/kwq433CrossRefPubMed
13.
Austin PC, Stanbrook MB, Anderson GM, Newman A, Gershon AS: Comparative ability of comorbidity classification methods for administrative data to predict outcomes in patients with chronic obstructive pulmonary disease.Ann Epidemiol. 2012, 22:881–7. 10.1016/j.annepidem.2012.09.011CrossRefPubMedPubMedCentral
14.
Holman CDJ, Preen DB, Baynham NJ, Finn JC, Semmens JB: A multipurpose comorbidity scoring system performed better than the Charlson index.J Clin Epidemiol. 2005, 58:1006–14. 10.1016/j.jclinepi.2005.01.020CrossRefPubMed
15.
Zekry D, Loures Valle BH, Graf C, Michel J-P, Gold G, Krause K-H, et al.: Prospective comparison of 6 comorbidity indices as predictors of 1-year post-hospital discharge institutionalization, readmission, and mortality in elderly individuals.J Am Med Dir Assoc. 2012, 13:272–8. 10.1016/j.jamda.2010.11.011CrossRefPubMed
16.
Buck H, Akbar J, Zhang S, Bettger JP: Measuring comorbidity in cardiovascular research: a systematic review.Nurs Res Pract. 2013, 2013:1–11.CrossRef
17.
Sharabiani MTA, Aylin P, Bottle A: Systematic review of comorbidity indices for administrative data.Med Care. 2012, 50:1109–18. 10.1097/MLR.0b013e31825f64d0CrossRefPubMed
18.
Schneider JC, Gerrard P, Goldstein R, DiVita MA, Niewczyk P, Ryan CM, et al.: The impact of comorbidities and complications on burn injury inpatient rehabilitation outcomes.PM R. 2013, 5:114–21. 10.1016/j.pmrj.2012.07.014CrossRefPubMed
19.
20.
Centers for Medicare and Medicaid Services: The Inpatient Rehabiltiation Facility Patient Assessment Instrument (IRF-PAI) Training Manual. 2012.
21.
22.
23.
24.
Colantonio A, Gerber G, Bayley M, Deber R, Yin J, Kim H: Differential profiles for patients with traumatic and non-traumatic brain injury.J Rehabil Med. 2011, 43:311–5. 10.2340/16501977-0783CrossRefPubMed
25.
Teasell R, Marhsall S, Cullen N, Bayley M, Rees L, Welch-West P, et al.: Evidence-based review of moderate to severe acquired brain injury. 2013.
26.
27.
Moher D, Liberati A, Tetzlaff J, Altman DG, Group TP: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.PLoS Med. 2009, 6:e1000097. 10.1371/journal.pmed.1000097CrossRefPubMedPubMedCentral
28.
29.
Popay J, Roberts H, Snowden A, Petticrew M, Arai L, Rodgers M, et al.: Guidance on the conduct of narrative synthesis in systematic reviews: a product from the ESRC methods programme. 2006, 1–92.
30.
Stub D, Bernard S, Duffy SJ, Kaye DM: Post cardiac arrest syndrome: a review of therapeutic strategies.Circulation. 2011, 123:1428–35. 10.1161/CIRCULATIONAHA.110.988725CrossRefPubMed
31.
Golden FSC, Tipton MJ, Scott RC: Immersion, near-drowning and drowning.Br J Anaesth. 1997, 79:214–25. 10.1093/bja/79.2.214CrossRefPubMed
32.
Greene-Schloesser D, Robbins ME, Peiffer AM, Shaw EG, Wheeler KT, Chan MD: Radiation-induced brain injury: a review.Front Oncol 2012,2(July):73.PubMedPubMedCentral
33.
De Groot V, Beckerman H, Lankhorst G, Bouter LM: How to measure comorbidity: a critical review of available methods.J Clin Epidemiol. 2003, 56:221–9. 10.1016/S0895-4356(02)00585-1CrossRefPubMed
34.
Meghani SH, Buck HG, Dickson VV, Hammer MJ, Rabelo-Silva ER, Clark R, et al.: The conceptualization and measurement of comorbidity: a review of the interprofessional discourse.Nurs Res Pract. 2013, 2013:192782.PubMedPubMedCentral
35.
Berlowitz DR, Hoenig H, Cowper DC, Duncan PW, Vogel WB: Impact of comorbidities on stroke rehabilitation outcomes: does the method matter?Arch Phys Med Rehabil. 2008, 89:1903–6. 10.1016/j.apmr.2008.03.024CrossRefPubMed
36.
Karatepe AG, Gunaydin R, Kaya T, Turkmen G: Comorbidity in patients after stroke: impact on functional outcome.J Rehabil Med. 2008, 40:831–5. 10.2340/16501977-0269CrossRefPubMed
Metadata
Title
A systematic review protocol for measuring comorbidity in inpatient rehabilitation for non-traumatic brain injury
Authors
Wayne Khuu
Vincy Chan
Angela Colantonio
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2015
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/2046-4053-4-14

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