A new tool to assess Clinical Diversity In Meta-analyses (CDIM) of interventions

Research output: Contribution to journalArticle

Abstract

Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions. Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups. Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters. Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis.

Details

Authors
  • Marija Barbateskovic
  • Thijs M. Koster
  • Ruben J. Eck
  • Mathias Maagaard
  • Arash Afshari
  • Fredrike Blokzijl
  • Maria Cronhjort
  • Willem Dieperink
  • Maria L. Fabritius
  • Josh Feinberg
  • Craig French
  • Barzi Gareb
  • Anja Geisler
  • Anders Granholm
  • Bart Hiemstra
  • Ruixue Hu
  • Georgina Imberger
  • Bente T. Jensen
  • Andreas B. Jonsson
  • Oliver Karam
  • De Zhao Kong
  • Steven K. Korang
  • Geert Koster
  • Baoyong Lai
  • Ning Liang
  • Lars H. Lundstrøm
  • Søren Marker
  • Tine S. Meyhoff
  • Emil E. Nielsen
  • Anders K. Nørskov
  • Marie W. Munch
  • Emilie C. Risom
  • Sofie L. Rygård
  • Sanam Safi
  • Naqash Sethi
  • Susanne V. Lauridsen
  • Nico van Bakelen
  • Meint Volbeda
  • Iwan C.C. van der Horst
  • Christian Gluud
  • Anders Perner
  • Morten H. Møller
  • Eric Keus
  • Jørn Wetterslev
Organisations
External organisations
  • University Medical Center Groningen
  • Karolinska Institutet
  • Holbæk Hospital
  • University of Melbourne
  • Zealand University Hospital
  • China Academy of Chinese Medical Sciences
  • Aarhus University Hospital
  • Virginia Commonwealth University
  • Liaoning University of Traditional Chinese Medicine
  • Hillerod Hospital
  • Copenhagen University Hospital
  • Skåne University Hospital
  • Frederiksberg Hospital
  • University of Groningen
  • Stockholm South General Hospital
  • Sunshine Hospital, St Albans
  • Children’s Hospital of Richmond
  • Beijing University of Chinese Medicine Third Affiliated Hospital
  • Maastricht University
  • Maastricht University Medical Centre
  • University of Copenhagen
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Public Health, Global Health, Social Medicine and Epidemiology

Keywords

  • Diversity, Evidence, Heterogeneity, Meta-analysis, Quality, Systematic review, Tool
Original languageEnglish
Pages (from-to)29-41
Number of pages13
JournalJournal of Clinical Epidemiology
Volume135
Publication statusPublished - 2021
Publication categoryResearch
Peer-reviewedYes