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Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis
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 applica...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570828/ https://www.ncbi.nlm.nih.gov/pubmed/31200768 http://dx.doi.org/10.1186/s13643-019-1044-2 |
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author | Lin, Jiaxi Scott, Whitney Carpenter, Lewis Norton, Sam Domhardt, Matthias Baumeister, Harald McCracken, Lance M. |
author_facet | Lin, Jiaxi Scott, Whitney Carpenter, Lewis Norton, Sam Domhardt, Matthias Baumeister, Harald McCracken, Lance M. |
author_sort | Lin, Jiaxi |
collection | PubMed |
description | 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. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42019120901. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-019-1044-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6570828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65708282019-06-27 Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis Lin, Jiaxi Scott, Whitney Carpenter, Lewis Norton, Sam Domhardt, Matthias Baumeister, Harald McCracken, Lance M. Syst Rev Protocol 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. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42019120901. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-019-1044-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-14 /pmc/articles/PMC6570828/ /pubmed/31200768 http://dx.doi.org/10.1186/s13643-019-1044-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Protocol Lin, Jiaxi Scott, Whitney Carpenter, Lewis Norton, Sam Domhardt, Matthias Baumeister, Harald McCracken, Lance M. Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis |
title | Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis |
title_full | Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis |
title_fullStr | Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis |
title_full_unstemmed | Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis |
title_short | Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis |
title_sort | acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570828/ https://www.ncbi.nlm.nih.gov/pubmed/31200768 http://dx.doi.org/10.1186/s13643-019-1044-2 |
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