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Methodology, Design, and Analytic Techniques to Address Measurement of Comorbid Disease
- Source :
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 62:281-285
- Publication Year :
- 2007
- Publisher :
- Oxford University Press (OUP), 2007.
-
Abstract
- Measurement of comorbidity affects all variable axes that are considered in health care research: confounding, modifying, independent, and dependent variable. Comorbidity measurement particularly affects research involving older adults because they bear the disproportionate share of the comorbidity burden.We examine how well researchers can expect to segregate study participants into those who are healthier and those who are less healthy, given the variable axis for which they are measuring comorbidity, the comorbidity measure they select, and the analytic method they choose. We also examine the impact of poor measurement of comorbidity.Available comorbidity measures make use of medical records, self-report, physician assessments, and administrative databases. Analyses using these scales introduce uncertainties that can be framed as measurement error or misclassification problems, and can be addressed by extant analytic methods. Newer analytic methods make efficient use of multiple sources of comorbidity information.Consideration of the comorbidity measure, its role in the analysis, and analogous measurement error problems will yield an analytic solution and an appreciation for the likely direction and magnitude of the biases introduced.
- Subjects :
- Gerontology
Research design
Aging
Confounding Factors (Epidemiology)
Health Status
media_common.quotation_subject
MEDLINE
Effect Modifier, Epidemiologic
Article
Medical Records
Outcome Assessment, Health Care
mental disorders
Health care
medicine
Humans
Medical History Taking
Physical Examination
media_common
Variables
business.industry
Medical record
Confounding
Confounding Factors, Epidemiologic
medicine.disease
Comorbidity
Databases as Topic
Research Design
Chronic Disease
Geriatrics and Gerontology
business
Subjects
Details
- ISSN :
- 1758535X and 10795006
- Volume :
- 62
- Database :
- OpenAIRE
- Journal :
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Accession number :
- edsair.doi.dedup.....b01610964a63c17252e5111fbeedc8da