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

• Published in: Journal of clinical epidemiology Vol. 135; pp. 29 - 41
• Main Authors: Barbateskovic, Marija, Koster, Thijs M., Eck, Ruben J., Maagaard, Mathias, Afshari, Arash, Blokzijl, Fredrike, Cronhjort, Maria, Dieperink, Willem, Fabritius, Maria L., Feinberg, Josh, French, Craig, Gareb, Barzi, Geisler, Anja, Granholm, Anders, Hiemstra, Bart, Hu, Ruixue, Imberger, Georgina, Jensen, Bente T., Jonsson, Andreas B., Karam, Oliver, Kong, De Zhao, Korang, Steven K., Koster, Geert, Lai, Baoyong, Liang, Ning, Lundstrøm, Lars H., Marker, Søren, Meyhoff, Tine S., Nielsen, Emil E., Nørskov, Anders K., Munch, Marie W., Risom, Emilie C., Rygård, Sofie L., Safi, Sanam, Sethi, Naqash, Sjövall, Fredrik, Lauridsen, Susanne V., van Bakelen, Nico, Volbeda, Meint, van der Horst, Iwan C.C., Gluud, Christian, Perner, Anders, Møller, Morten H., Keus, Eric, Wetterslev, Jørn
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.07.2021; Elsevier Limited
• Subjects: Agreements; Bias; Clinical trials; Confidence intervals; Diversity; Domains; Empirical analysis; Epidemiology; Evidence; Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi; Health Sciences; Heterogeneity; Hälsovetenskap; Intensive care; Intervention; Medical and Health Sciences; Medicin och hälsovetenskap; Meta-analysis; Public Health, Global Health, Social Medicine and Epidemiology; Quality; Regression analysis; Reliability; Systematic review; CI; Diversity; Systematic review; Meta-analysis; Heterogeneity; Quality; GRRAS; Evidence; CDIM; ICU; SPSS; CDIMS; Tool
• ISSN: 0895-4356; 1878-5921; 1878-5921
• DOI: 10.1016/j.jclinepi.2021.01.023

To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions. 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. 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. 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.