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

Authors

225

  1. RS
    Retha Steenkamp

    Renal Association, United Kingdom

    3 publications · 48 citations

    3

    h-index

  2. FC
    Fergus Caskey

    University of Bristol, United Kingdom

    3 publications · 48 citations

    3

    h-index

  3. SG
    Sheldon Greenfield

    University of California, Irvine, United States

    2 publications · 274 citations

    2

    h-index

  4. LL
    Leslíe L. Roos

    University of Manitoba, Canada

    2 publications · 1.9K citations

    2

    h-index

  5. JB
    James B. Semmens

    The University of Western Australia, Australia

    2 publications · 351 citations

    2

    h-index

1–5 of 225

Venues

  1. Journal of Clinical Epidemiology

    10 publications · 3.1K citations

    10

    h-index

  2. BMC Health Services Research

    3 publications · 94 citations

    3

    h-index

  3. Annals of Epidemiology

    2 publications · 572 citations

    2

    h-index

  4. Nephron Clinical Practice

    2 publications · 26 citations

    2

    h-index

  5. Comprehensive Psychiatry

    1 publications · 46 citations

    1

    h-index

1–5