A review of methods for addressing components of interventions in meta-analysis
Many healthcare interventions are complex, consisting of multiple, possibly interacting, components. Several methodological articles addressing complex interventions in the meta-analytical context have been published. We hereby provide an overview of methods used to evaluate the effects of complex i...
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Published in | PloS one Vol. 16; no. 2; p. e0246631 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Public Library of Science
08.02.2021
Public Library of Science (PLoS) |
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Abstract | Many healthcare interventions are complex, consisting of multiple, possibly interacting, components. Several methodological articles addressing complex interventions in the meta-analytical context have been published. We hereby provide an overview of methods used to evaluate the effects of complex interventions with meta-analytical models. We summarized the methodology, highlighted new developments, and described the benefits, drawbacks, and potential challenges of each identified method. We expect meta-analytical methods focusing on components of several multicomponent interventions to become increasingly popular due to recently developed, easy-to-use, software tools that can be used to conduct the relevant analyses. The different meta-analytical methods are illustrated through two examples comparing psychotherapies for panic disorder. |
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AbstractList | Many healthcare interventions are complex, consisting of multiple, possibly interacting, components. Several methodological articles addressing complex interventions in the meta-analytical context have been published. We hereby provide an overview of methods used to evaluate the effects of complex interventions with meta-analytical models. We summarized the methodology, highlighted new developments, and described the benefits, drawbacks, and potential challenges of each identified method. We expect meta-analytical methods focusing on components of several multicomponent interventions to become increasingly popular due to recently developed, easy-to-use, software tools that can be used to conduct the relevant analyses. The different meta-analytical methods are illustrated through two examples comparing psychotherapies for panic disorder. Many healthcare interventions are complex, consisting of multiple, possibly interacting, components. Several methodological articles addressing complex interventions in the meta-analytical context have been published. We hereby provide an overview of methods used to evaluate the effects of complex interventions with meta-analytical models. We summarized the methodology, highlighted new developments, and described the benefits, drawbacks, and potential challenges of each identified method. We expect meta-analytical methods focusing on components of several multicomponent interventions to become increasingly popular due to recently developed, easy-to-use, software tools that can be used to conduct the relevant analyses. The different meta-analytical methods are illustrated through two examples comparing psychotherapies for panic disorder.Many healthcare interventions are complex, consisting of multiple, possibly interacting, components. Several methodological articles addressing complex interventions in the meta-analytical context have been published. We hereby provide an overview of methods used to evaluate the effects of complex interventions with meta-analytical models. We summarized the methodology, highlighted new developments, and described the benefits, drawbacks, and potential challenges of each identified method. We expect meta-analytical methods focusing on components of several multicomponent interventions to become increasingly popular due to recently developed, easy-to-use, software tools that can be used to conduct the relevant analyses. The different meta-analytical methods are illustrated through two examples comparing psychotherapies for panic disorder. |
Audience | Academic |
Author | Koek, Huiberdina L. Del Giovane, Cinzia Rodondi, Nicolas Efthimiou, Orestis Petropoulou, Maria Mavridis, Dimitris Rücker, Gerta Schwarzer, Guido Furukawa, Toshi A. Pompoli, Alessandro |
AuthorAffiliation | 4 Department of Psychiatry, University of Oxford, Oxford, United Kingdom 11 Faculté de Médecine, Paris Descartes University, Sorbonne Paris Cité, Paris, France 1 Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany 2 Department of Primary Education, Evidence Synthesis Methods Team, University of Ioannina, Ioannina, Greece 8 Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland Witten/Herdecke University, GERMANY 6 Psychiatric Rehabilitation Clinic Villa San Pietro, Trento, Italy 3 Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland 9 Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland 10 Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland 5 Departments of Health Promotion and Human Behavior and Clinical Epidemiology, Kyoto University Graduate School of Me |
AuthorAffiliation_xml | – name: 2 Department of Primary Education, Evidence Synthesis Methods Team, University of Ioannina, Ioannina, Greece – name: 3 Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland – name: 6 Psychiatric Rehabilitation Clinic Villa San Pietro, Trento, Italy – name: 10 Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland – name: Witten/Herdecke University, GERMANY – name: 4 Department of Psychiatry, University of Oxford, Oxford, United Kingdom – name: 1 Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany – name: 7 Department of Geriatric Medicine, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands – name: 8 Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland – name: 9 Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland – name: 5 Departments of Health Promotion and Human Behavior and Clinical Epidemiology, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan – name: 11 Faculté de Médecine, Paris Descartes University, Sorbonne Paris Cité, Paris, France |
Author_xml | – sequence: 1 givenname: Maria orcidid: 0000-0002-7147-3644 surname: Petropoulou fullname: Petropoulou, Maria – sequence: 2 givenname: Orestis orcidid: 0000-0002-0955-7572 surname: Efthimiou fullname: Efthimiou, Orestis – sequence: 3 givenname: Gerta surname: Rücker fullname: Rücker, Gerta – sequence: 4 givenname: Guido surname: Schwarzer fullname: Schwarzer, Guido – sequence: 5 givenname: Toshi A. surname: Furukawa fullname: Furukawa, Toshi A. – sequence: 6 givenname: Alessandro surname: Pompoli fullname: Pompoli, Alessandro – sequence: 7 givenname: Huiberdina L. surname: Koek fullname: Koek, Huiberdina L. – sequence: 8 givenname: Cinzia surname: Del Giovane fullname: Del Giovane, Cinzia – sequence: 9 givenname: Nicolas surname: Rodondi fullname: Rodondi, Nicolas – sequence: 10 givenname: Dimitris surname: Mavridis fullname: Mavridis, Dimitris |
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Title | A review of methods for addressing components of interventions in meta-analysis |
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