Björk, Mathilda, Gerdle, Björn, Liedberg, Gunilla, Svanholm, Frida, Solmi, Marco, Thompson, Trevor ORCID: 0000-0001-9880-782X, Chaimani, Anna and Dragioti, Elena ORCID: 0000-0001-9019-4125 (2020) Interventions to facilitate return to work in adults with chronic non-malignant pain: a protocol for a systematic review and network meta-analysis. BMJ Open, 10 (11):e040962. ISSN 2044-6055 (Online) (doi:https://doi.org/10.1136/bmjopen-2020-040962)

Preview

PDF (Publisher's PDF - Open Access) 30299 THOMPSON_Interventions_to_Facilitate_Return_to_Work_(OA)_2020.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (2MB) | Preview

Abstract

Introduction:
Work absenteeism due to chronic non-malignant pain (CNMP) is a major societal and individual cause of concern that requires effective treatments.

Objective:
We present a protocol for a systematic review and network meta-analysis (NMA) aiming to compare available interventions for return to work (RTW) in adults with CNMP.

Methods and analysis:
PubMed, Embase, PsycINFO, Web of Knowledge and Cochrane Central Register of Controlled Trials databases will be searched till 31 August 2020 for randomised controlled trials (RCTs) examining interventions for RTW outcomes among patients with CNMP. Two independent investigators will search the databases, perform data extraction and assess the methodological quality of the selected RCTs. The primary outcome will be RTW, if possible, full-time or part-time after work absence due to chronic pain from baseline to the last available follow-up. Secondary outcomes will include self-reported workability or work capacity, or self-reported physical functioning and quality of life as measured by any validated scale. Pairwise meta-analysis and NMA will be conducted for each outcome using a random-effects model. For the primary outcomes, we will also obtain the ranking of all competing interventions within each NMA using surface under the cumulative ranking curve. The assumption of coherence (ie, that direct and indirect evidence are in statistical agreement) will be examined using both a local and a global approach. We will also conduct subgroup and meta-regression analyses, whenever feasible, to investigate the unexplained variation in effect size. The comparison-adjusted funnel plot will be used to evaluate small-study effects. The overall quality of evidence will be rated with the Confidence in Network Meta-Analysis tool. Data analysis will be conducted using Stata V.16.0.

Item Type:	Article
Additional Information:	© Author(s) (or their employer(s)) 2020. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Uncontrolled Keywords:	protocol; network meta-analysis; pain; return-to-work
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Faculty / School / Research Centre / Research Group:	Faculty of Education, Health & Human Sciences Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM) Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Chronic Illness and Ageing
Last Modified:	19 Nov 2021 01:58
URI:	http://gala.gre.ac.uk/id/eprint/30299

Actions (login required)

View Item

Downloads