Measuring Comorbidity in Cardiovascular Research: A Systematic Review

Harleah G. Buck; Jabar A. Akbar; Sarah Jingying Zhang; Janet A. Prvu Bettger

doi:10.1155/2013/563246

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Measuring Comorbidity in Cardiovascular Research: A Systematic Review

Journal article

Open access

Peer reviewed

Measuring Comorbidity in Cardiovascular Research: A Systematic Review

Harleah G. Buck, Jabar A. Akbar, Sarah Jingying Zhang and Janet A. Prvu Bettger

Nursing Research and Practice, Vol.2013, pp.1-11

01/01/2013

DOI: 10.1155/2013/563246

PMCID: PMC3730163

PMID: 23956853

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Abstract

Background. Everything known about the roles, relationships, and repercussions of comorbidity in cardiovascular disease is shaped by how comorbidity is currently measured. Objectives. To critically examine how comorbidity is measured in randomized controlled trials or clinical trials and prospective observational studies in acute myocardial infarction (AMI), heart failure (HF), or stroke. Design. Systematic review of studies of hospitalized adults from MEDLINE CINAHL, PsychINFO, and ISI Web of Science Social Science databases. At least two reviewers screened and extracted all data. Results. From 1432 reviewed abstracts, 26 studies were included (AMI n = 8, HF n = 11, stroke n = 7). Five studies used an instrument to measure comorbidity while the remaining used the presence or absence of an unsubstantiated list of individual diseases. Comorbidity data were obtained from 1–4 different sources with 35% of studies not reporting the source. A year-by-year analysis showed no changes in measurement. Conclusions. The measurement of comorbidity remains limited to a list of conditions without stated rationale or standards increasing the likelihood that the true impact is underestimated.

Details

Title: Subtitle: Measuring Comorbidity in Cardiovascular Research: A Systematic Review
Creators: Harleah G. Buck - Pennsylvania State University
Jabar A. Akbar - School of Nursing, Duke University, Duke University Medical Center 3322, 307 Trent Drive, Durham, NC 27710, USA
Sarah Jingying Zhang - School of Nursing, Duke University, Duke University Medical Center 3322, 307 Trent Drive, Durham, NC 27710, USA
Janet A. Prvu Bettger - School of Nursing, Duke University, Duke University Medical Center 3322, 307 Trent Drive, Durham, NC 27710, USA
Resource Type: Journal article
Publication Details: Nursing Research and Practice, Vol.2013, pp.1-11
DOI: 10.1155/2013/563246
PMID: 23956853
PMCID: PMC3730163
NLM abbreviation: Nurs Res Pract
ISSN: 2090-1429
eISSN: 2090-1437
Language: English
Date published: 01/01/2013
Academic Unit: Nursing
Record Identifier: 9984370731802771

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