Comorbidity Data Quality
Comorbidity Data Quality is a measurement construct that evaluates the accuracy, completeness, and consistency of comorbidity information recorded in health datasets to ensure its reliability for clinical and epidemiological analysis.
43
Publications
5.4K
Citations
225
Authors
131
Institutions
Publications per year
2017–2026
13
Parents
43
Flaws in mortality data. The hazards of ignoring comorbid disease
Sheldon Greenfield · JAMA · 1988 · 246 citations
David B. Preen, C. D’Arcy J. Holman, Katrina Spilsbury et al. · Journal of Clinical Epidemiology · 2006 · 229 citations
Health Professions, Health Services Administration, Electronic Health Records +14
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131

Southmead Hospital
Bristol, United Kingdom
4 h-index
5 publications
73 citations
Renal Association
Bristol, United Kingdom
4 h-index
10 publications
142 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
3 h-index
8 publications
856 citations

University of Manitoba
Winnipeg, Canada
3 h-index
4 publications
1.9K citations
Columbia University
New York, United States
2 h-index
2 publications
66 citations
National Cancer Institute
Bethesda, United States
2 h-index
4 publications
999 citations

University of Bristol
Bristol, United Kingdom
2 h-index
2 publications
33 citations

McGill University
Montreal, Canada
2 h-index
3 publications
107 citations
1–8 of 131
10 publications · 3.1K citations
10
h-index
3 publications · 94 citations
3
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2 publications · 572 citations
2
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2 publications · 26 citations
2
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1 publications · 46 citations
1
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1–5