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Methodology, design, and analytic techniques to address measurement of comorbid disease.

Publication ,  Journal Article
Lash, TL; Mor, V; Wieland, D; Ferrucci, L; Satariano, W; Silliman, RA
Published in: The journals of gerontology. Series A, Biological sciences and medical sciences
March 2007

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.

Published In

The journals of gerontology. Series A, Biological sciences and medical sciences

DOI

EISSN

1758-535X

ISSN

1079-5006

Publication Date

March 2007

Volume

62

Issue

3

Start / End Page

281 / 285

Related Subject Headings

  • Research Design
  • Physical Examination
  • Outcome Assessment, Health Care
  • Medical Records
  • Medical History Taking
  • Humans
  • Health Status
  • Gerontology
  • Effect Modifier, Epidemiologic
  • Databases as Topic
 

Citation

APA
Chicago
ICMJE
MLA
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Lash, T. L., Mor, V., Wieland, D., Ferrucci, L., Satariano, W., & Silliman, R. A. (2007). Methodology, design, and analytic techniques to address measurement of comorbid disease. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 62(3), 281–285. https://doi.org/10.1093/gerona/62.3.281
Lash, Timothy L., Vincent Mor, Darryl Wieland, Luigi Ferrucci, William Satariano, and Rebecca A. Silliman. “Methodology, design, and analytic techniques to address measurement of comorbid disease.The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 62, no. 3 (March 2007): 281–85. https://doi.org/10.1093/gerona/62.3.281.
Lash TL, Mor V, Wieland D, Ferrucci L, Satariano W, Silliman RA. Methodology, design, and analytic techniques to address measurement of comorbid disease. The journals of gerontology Series A, Biological sciences and medical sciences. 2007 Mar;62(3):281–5.
Lash, Timothy L., et al. “Methodology, design, and analytic techniques to address measurement of comorbid disease.The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, vol. 62, no. 3, Mar. 2007, pp. 281–85. Epmc, doi:10.1093/gerona/62.3.281.
Lash TL, Mor V, Wieland D, Ferrucci L, Satariano W, Silliman RA. Methodology, design, and analytic techniques to address measurement of comorbid disease. The journals of gerontology Series A, Biological sciences and medical sciences. 2007 Mar;62(3):281–285.
Journal cover image

Published In

The journals of gerontology. Series A, Biological sciences and medical sciences

DOI

EISSN

1758-535X

ISSN

1079-5006

Publication Date

March 2007

Volume

62

Issue

3

Start / End Page

281 / 285

Related Subject Headings

  • Research Design
  • Physical Examination
  • Outcome Assessment, Health Care
  • Medical Records
  • Medical History Taking
  • Humans
  • Health Status
  • Gerontology
  • Effect Modifier, Epidemiologic
  • Databases as Topic