1. Exploration of preferences among people with COPD to inform resource allocation: a discrete choice experiment study
- Author
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Anita Patel, Wayne Smith, Julius Ohrnberger, Jack Ettinger, and Manjula Bhudiya
- Subjects
Medicine ,Diseases of the respiratory system ,RC705-779 - Abstract
Introduction Treatment options for chronic obstructive pulmonary disease (COPD) are numerous but adherence remains a key challenge. We performed a discrete choice experiment (DCE) of patients’ preferences in accessing care for the management of COPD. The aim of this study was to understand patients’ preferences for modes of accessing care for the management of COPD. This piece of work was then used to inform resource allocation decisions in five integrated care systems (ICSs) in England.Methods People with diagnosed COPD in five ICSs were invited to complete an online survey from August to September 2022. An experimental design built on the principles of minimal overlap, level balance and orthogonality was used to create 20 sets of 11 scenarios for participants to assess. Participants were presented with three hypothetical options and asked to select their most preferred or state that none was preferred. Data were analysed using a hierarchal Bayes algorithm.Results Of 82 639 patients with COPD in the study area, 520 completed the survey. The mean health-related quality of life score derived using EuroQol 5-Dimensions 5-Level was 0.57 (0.29). The attributes assigned greatest importance were treatment outcomes, treatment delivery and the type of staff who deliver treatment. Mean utility level scores were substantially higher for little relief (22.75 (SD 78.80)) or some relief from symptoms (20.67 (46.77)) than for complete relief (‒43.42 (83.03)). Of the treatment delivery options, in-person individual appointments were preferred (mean utility score 48.34 (SD 48.14)), and care being provided by healthcare professionals was viewed as very important (77.50 (64.39)).Conclusions The DCE approach can help resource allocation decisions by indicating attributes most important to patients and trade-offs they are willing to make in treatment access and delivery.
- Published
- 2024
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