Protocol for an economic analysis of the randomised controlled trial of Improving the Well-being of people with Opioid Treated CHronic pain: I-WOTCH Study
Kirstie Haywood,
Martin Underwood,
Anisur Rahman,
Stephanie Taylor,
Kate Seers,
Dipesh Mistry,
Charles Abraham,
Harbinder Kaur Sandhu,
Sharisse Alleyne,
Shyam Balasubramanian,
Lauren Betteley,
Katie Booth,
Dawn Carnes,
Ranjit Lall,
Andrea Manca,
Jennifer Noyes,
Jane Shaw,
Colin Tysall,
Sam Eldabe,
Andrea Dompieri Furlan,
Sheeja Manchira Krishnan,
Vijay Singh Gc,
Cynthia P Iglesias Urrutia,
Maddy Hill,
Vivien Nichols,
Nicole Tang,
Emma Withers,
Cynthia Urrutia
Affiliations
Kirstie Haywood
Warwick Research in Nursing, University of Warwick, Coventry, UK
Martin Underwood
Warwick Medical School, Coventry, UK
Anisur Rahman
Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Dhaka District, Bangladesh
Stephanie Taylor
2 Wolfson Institute of Population Health, Queen Mary University of London, London, UK
Kate Seers
professor of health research
Dipesh Mistry
Warwick Clinical Trials Unit, University of Warwick, Coventry, UK
Charles Abraham
professor of psychology
Harbinder Kaur Sandhu
Clinical Trials Unit, University of Warwick Warwick Medical School, Coventry, UK
Sharisse Alleyne
clinical trials manager
Shyam Balasubramanian
University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
Lauren Betteley
1 Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
Katie Booth
Warwick Clinical Trials Unit, Warwick Medcial School, University of Warwick, Coventry, UK
Dawn Carnes
Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
Ranjit Lall
professor of clinical trials and biostatistics
Andrea Manca
Centre for Health Economics, York University, York, UK
Jennifer Noyes
Department of Pain Medicine, James Cook University Hospital, Middlesbrough, UK
Jane Shaw
Department of Pain Medicine, James Cook University Hospital, Middlesbrough, UK
Colin Tysall
UNTRAP, University of Warwick, Coventry, West Midlands, UK
Sam Eldabe
The James Cook University Hospital, Middlesbrough, UK
Andrea Dompieri Furlan
Sheeja Manchira Krishnan
Department of Health Sciences, University of York, York, UK
Vijay Singh Gc
School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
Cynthia P Iglesias Urrutia
Department of Health Sciences, University of York, York, UK
Maddy Hill
Vivien Nichols
research fellow
Nicole Tang
Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, New York, USA
Introduction Over the last two decades, the use of opioids for the treatment of chronic pain in England has steadily increased despite lack of evidence of both long-term effectiveness in pain relief and significant, well-documented physical and mental adverse events. Guidelines recommend tapering when harms outweigh benefits, but the addictive nature of opioids hinders simple dose-reduction strategies. Improving the Well-being of people with Opioid Treated CHronic pain (I-WOTCH) trial tests a multicomponent self-management intervention aimed to help patients with chronic non-malignant pain taper opioid doses. This paper outlines the methods to be used for the economic analysis of the I-WOTCH intervention compared with the best usual care.Methods and analysis Economic evaluation alongside the I-WOTCH study, prospectively designed to identify, measure and value key healthcare resource use and outcomes arising from the treatment strategies being compared. A within-trial cost-consequences analysis and a model-based long-term cost-effectiveness analysis will be conducted from the National Health Service and Personal Social Service perspective in England. The former will quantify key parameters to populate a Markov model designed to estimate the long-term cost and quality-adjusted life years of the I-WOTCH intervention against best usual care. Regression equations will be used to estimate parameters such as transition probabilities, utilities, and costs associated with the model’s states and events. Probabilistic sensitivity analysis will be used to assess the impact of parameter uncertainty onto the predicted costs and health outcomes, and the resulting value for money assessment of the I-WOTCH intervention.Ethics and dissemination Full ethics approval was granted by Yorkshire & The Humber—South Yorkshire Research Ethics Committee on 13 September 2016 (16/YH/0325). Current protocol: V.1.7, date 31 July 2019. Findings will be disseminated in peer-reviewed journals, scientific conferences, newsletters and websites.Trial registration number International Standard Randomised Controlled Trial Number (49 470 934); Pre-result.