A protocol for a discrete choice experiment: understanding patient medicine preferences for managing chronic non-cancer pain

BMJ Open
Marian ShanahanGabrielle Campbell

Abstract

High rates of chronic non-cancer pain (CNCP), concerns about adverse effects including dependence among those prescribed potent pain medicines, the recent evidence supporting active rather than passive management strategies and a lack of funding for holistic programme have resulted in challenges around decision making for treatment among clinicians and their patients. Discrete choice experiments (DCEs) are one way of assessing and valuing treatment preferences. Here, we outline a protocol for a study that assesses patient preferences for CNCP treatment. A final list of attributes (and their levels) for the DCE was generated using a detailed iterative process. This included a literature review, a focus group and individual interviews with those with CNCP and clinicians who treat people with CNCP. From this process a list of attributes was obtained. Following a review by study investigators including pain and addiction specialists, pharmacists and epidemiologists, the final list of attributes was selected (number of medications, risk of addiction, side effects, pain interference, activity goals, source of information on pain, provider of pain care and out-of-pocket costs). Specialised software was used to construct an experimenta...Continue Reading

Methods Mentioned

BETA
cognitive behavioural therapy

Software Mentioned

Nlogit
Qualtrics
MXL
Painaustralia

Related Concepts

Related Feeds

Addiction

This feed focuses mechanisms underlying addiction and addictive behaviour including heroin and opium dependence, alcohol intoxication, gambling, and tobacco addiction.

Related Papers

Pain Research & Management : the Journal of the Canadian Pain Society = Journal De La Société Canadienne Pour Le Traitement De La Douleur
S Rashiq, B D Dick
Journal of the American Board of Family Medicine : JABFM
Robert R LeverencePRIME Net Clinicians
© 2021 Meta ULC. All rights reserved