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Published on: April 14, 2016
Patient Preferences for Pain Management in Advanced Cancer: Results from a Discrete Choice Experiment
David M Meads1, John L O'Dwyer2, Claire T Hulme2
1Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Charles Thackrah Building, 101 Clarendon Road, Leeds, UK. D.Meads@leeds.ac.uk.
Background:
Pain from advanced cancer remains prevalent, severe and often under-treated.
Aim:
The aim of this study was to conduct a discrete choice experiment with patients to understand their preferences for pain management services and inform service development.
Methods:
Focus groups were used to develop the attributes and levels of the discrete choice experiment. The attributes were: waiting time, type of healthcare professional, out-of-pocket costs, side-effect control, quality of communication, quality of information and pain control. Patients completed the discrete choice experiment along with clinical and health-related quality of life questions. Conditional and mixed logit models were used to analyse the data.
Results:
Patients with cancer pain (n = 221) and within palliative care services completed the survey (45% were female, mean age 64.6 years; age range 21-92 years). The most important aspects of pain management were: good pain control, zero out-of-pocket costs and good side-effect control. Poor or moderate pain control and £30 costs drew the highest negative preferences. Respondents preferred control of side effects and provision of better information and communication, over access to certain healthcare professionals. Those with lower health-related quality of life were less willing to wait for treatment and willing to incur higher costs. The presence of a carer influenced preferences.
Conclusions:
Outcome attributes were more important than process attributes but the latter were still valued. Thus, supporting self-management, for example by providing better information on pain may be a worthwhile endeavour. However, service provision may need to account for individual characteristics given the heterogeneity in preferences.
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