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Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis

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Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis. / Lin, Jiaxi; Scott, Whitney; Carpenter, Lewis Jamie; Norton, Sam; Domhardt, Matthias; Baumesiter, Harald; McCracken, Lance M.

In: Systematic Reviews, Vol. 8, No. 1, 140, 14.06.2019.

Research output: Contribution to journalArticle

Harvard

Lin, J, Scott, W, Carpenter, LJ, Norton, S, Domhardt, M, Baumesiter, H & McCracken, LM 2019, 'Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis', Systematic Reviews, vol. 8, no. 1, 140. https://doi.org/10.1186/s13643-019-1044-2

APA

Lin, J., Scott, W., Carpenter, L. J., Norton, S., Domhardt, M., Baumesiter, H., & McCracken, L. M. (2019). Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis. Systematic Reviews, 8(1), [140]. https://doi.org/10.1186/s13643-019-1044-2

Vancouver

Lin J, Scott W, Carpenter LJ, Norton S, Domhardt M, Baumesiter H et al. Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis. Systematic Reviews. 2019 Jun 14;8(1). 140. https://doi.org/10.1186/s13643-019-1044-2

Author

Lin, Jiaxi ; Scott, Whitney ; Carpenter, Lewis Jamie ; Norton, Sam ; Domhardt, Matthias ; Baumesiter, Harald ; McCracken, Lance M. / Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis. In: Systematic Reviews. 2019 ; Vol. 8, No. 1.

Bibtex Download

@article{5f5abfdd3da74db59e94c6693267ada3,
title = "Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis",
abstract = "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.",
keywords = "Acceptance and commitment therapy, Chronic pain, Individual participant data meta-Analysis, Subgroups",
author = "Jiaxi Lin and Whitney Scott and Carpenter, {Lewis Jamie} and Sam Norton and Matthias Domhardt and Harald Baumesiter and McCracken, {Lance M.}",
year = "2019",
month = "6",
day = "14",
doi = "10.1186/s13643-019-1044-2",
language = "English",
volume = "8",
journal = "Systematic reviews",
issn = "2046-4053",
publisher = "BioMed Central",
number = "1",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Acceptance and commitment therapy for chronic pain: protocol of a systematic review and individual participant data meta-analysis

AU - Lin, Jiaxi

AU - Scott, Whitney

AU - Carpenter, Lewis Jamie

AU - Norton, Sam

AU - Domhardt, Matthias

AU - Baumesiter, Harald

AU - McCracken, Lance M.

PY - 2019/6/14

Y1 - 2019/6/14

N2 - 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.

AB - 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.

KW - Acceptance and commitment therapy

KW - Chronic pain

KW - Individual participant data meta-Analysis

KW - Subgroups

UR - http://www.scopus.com/inward/record.url?scp=85067278517&partnerID=8YFLogxK

U2 - 10.1186/s13643-019-1044-2

DO - 10.1186/s13643-019-1044-2

M3 - Article

VL - 8

JO - Systematic reviews

JF - Systematic reviews

SN - 2046-4053

IS - 1

M1 - 140

ER -

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