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Complex self-management interventions in chronic disease unravelled: A review of lessons learned from an individual patient data meta-analysis

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Complex self-management interventions in chronic disease unravelled: A review of lessons learned from an individual patient data meta-analysis

Rechten: Alle rechten voorbehouden

Samenvatting

Objectives
Meta-analyses using individual patient data (IPD) rather than aggregated data are increasingly applied to analyze sources of heterogeneity between trials and have only recently been applied to unravel multicomponent, complex interventions. This study reflects on methodological challenges encountered in two IPD meta-analyses on self-management interventions in patients with heart failure or chronic obstructive pulmonary disease.

Study Design and Setting
Critical reflection on prior IPD meta-analyses and discussion of literature.

Results
Experience from two IPD meta-analyses illustrates methodological challenges. Despite close collaboration with principal investigators, assessing the effect of characteristics of complex interventions on the outcomes of trials is compromised by lack of sufficient details on intervention characteristics and limited data on fidelity and adherence. Furthermore, trials collected baseline variables in a highly diverse way, limiting the possibilities to study subgroups of patients in a consistent manner. Possible solutions are proposed based on lessons learnt from the methodological challenges.

Conclusion
Future researchers of complex interventions should pay considerable attention to the causal mechanism underlying the intervention and conducting process evaluations. Future researchers on IPD meta-analyses of complex interventions should carefully consider their own causal assumptions and availability of required data in eligible trials before undertaking such resource-intensive IPD meta-analysis.

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OrganisatieHogeschool Utrecht
AfdelingKenniscentrum Gezond en Duurzaam Leven
LectoraatChronisch Zieken
Gepubliceerd inJournal of Clinical Epidemiology Vol. 83, Pagina's: 48-56
Jaar2017
TypeArtikel
DOI10.1016/j.jclinepi.2017.01.004
TaalEngels

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