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Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis
Univ Freiburg, Inst Sports & Sport Sci, Sportpsychol, Freiburg, Germany.
Kings Coll London, Inst Psychiat Psychol & Neurosci, Psychol Dept, London, England.
Kings Coll London, Inst Psychiat Psychol & Neurosci, Psychol Dept, London, England.ORCID iD: 0000-0001-6889-7502
Kings Coll London, Inst Psychiat Psychol & Neurosci, Psychol Dept, London, England.ORCID iD: 0000-0003-1714-9963
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2019 (English)In: Systematic Reviews, E-ISSN 2046-4053, Vol. 8, article id 140Article, review/survey (Refereed) Published
Abstract [en]

Background: Acceptance and commitment therapy (ACT) can be effective in treating chronic pain. Despite evidence supporting the effectiveness of ACT, uncertainties remain regarding which subgroups in the chronic pain population are likely to benefit most and least. This protocol describes the application for two meta-analytic approaches, one at the level of individual participant data and the other at the level of aggregated data, from randomized controlled trials of ACT for chronic pain (ACT-CP-MA). Methods: We will systematically conduct literature searches in CENTRAL, MEDLINE, EMBASE, PsycINFO, and trial registers. Two reviewers will independently select studies for inclusion and data extraction. ACT-CP-MA will include randomized controlled trials with ACT for chronic pain compared to control conditions for adults (>= 18 years) with chronic pain (>= 3 months). We will invite the authors of all eligible trials to share individual participant data. Outcomes will include standardized measures of pain interference, pain intensity, depression, anxiety, health-related quality of life, participants' rating of overall improvement, and ACT-related process variables. Using the Cochrane Collaboration's tool and GRADE, reviewers will independently check for risk of bias, quality of evidence, and strength of recommendations. In the individual participant data meta-analysis, we will use a one-step approach where participants are clustered with studies and data from all studies are modeled simultaneously. For analyses, we will use mixed-effects models. Additionally, we will employ a meta-analysis with aggregate data and compare the results of both meta-analyses. Discussion: This collaborative meta-analysis of individual participant data from randomized controlled trials of ACT for chronic pain versus control conditions will demonstrate how the known benefits of ACT for chronic pain vary across different subtypes of the chronic pain population. The results of the meta-analyses will be based on a comprehensive search of multiple databases and will help to inform future clinical trials and decision-making on the use of ACT in chronic pain and improve the quality, design, and reporting of future trials in this field.

Place, publisher, year, edition, pages
BioMed Central, 2019. Vol. 8, article id 140
Keywords [en]
Individual participant data meta-analysis, Acceptance and commitment therapy, Chronic pain, Subgroups
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:uu:diva-390004DOI: 10.1186/s13643-019-1044-2ISI: 000471651300002PubMedID: 31200768OAI: oai:DiVA.org:uu-390004DiVA, id: diva2:1340436
Funder
German Research Foundation (DFG)Available from: 2019-08-05 Created: 2019-08-05 Last updated: 2019-08-05Bibliographically approved

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