Reporting Completeness Measurement

Reporting Completeness Measurement is a methodological construct used in pharmacovigilance and clinical research to quantify the extent to which adverse event reports are fully and accurately documented within a surveillance system, distinguishing it from other reporting metrics by its focus on the comprehensiveness of data capture relative to expected or reference standards.

50

Publications

2.5K

Citations

249

Authors

129

Institutions

Publications per year

2017–2026

18

Authors

249

  1. DM
    David Moher

    Ottawa Hospital, Canada

    4 publications · 243 citations

    4

    h-index

  2. DG
    Douglas G. Altman

    University of Oxford, United Kingdom

    3 publications · 205 citations

    3

    h-index

  3. BE
    Brian E. Dixon

    Regenstrief Institute, United States

    2 publications · 98 citations

    2

    h-index

  4. AE
    Alan E. Greenberg

    Centers for Disease Control and Prevention, United States

    2 publications · 48 citations

    2

    h-index

  5. SJ
    Shaun J. Grannis

    Regenstrief Institute, United States

    2 publications · 98 citations

    2

    h-index

1–5 of 249

Venues

  1. PubMed

    Repository · 5 publications · 171 citations

    5

    h-index

  2. BMJ Open

    2 publications · 150 citations

    2

    h-index

  3. BMC Medical Informatics and Decision Making

    1 publications · 39 citations

    2

    h-index

  4. PLoS Medicine

    2 publications · 420 citations

    2

    h-index

  5. Journal of Clinical Epidemiology

    2 publications · 38 citations

    2

    h-index

1–5