Quantifying stakeholders' preference for implantable medical devices in China: a discrete choice experiment

Int J Technol Assess Health Care. 2024 Jan 15;40(1):e8. doi: 10.1017/S0266462323002799.

Abstract

Objectives: This study aims to gain insight into each attribute as presented in the value of implantable medical devices, quantify attributes' strength and their relative importance, and identify the determinants of stakeholders' preferences.

Methods: A mixed-methods design was used to identify attributes and levels reflecting stakeholders' preference toward the value of implantable medical devices. This design combined literature reviewing, expert's consultation, one-on-one interactions with stakeholders, and a pilot testing. Based on the design, six attributes and their levels were settled. Among 144 hypothetical profiles, 30 optimal choice sets were developed, and healthcare professionals (decision-makers, health technology assessment experts, hospital administrators, medical doctors) and patients as stakeholders in China were surveyed. A total of 134 respondents participated in the survey. Results were analyzed by mixed logit model and conditional logit model.

Results: The results of the mixed logit model showed that all the six attributes had a significant impact on respondents' choices on implantable medical devices. Respondents were willing to pay the highest for medical devices that provided improvements in clinical safety, followed by increased clinical effectiveness, technology for treating severe diseases, improved implement capacity, and innovative technology (without substitutes).

Conclusions: The findings of DCE will improve the current evaluation on the value of implantable medical devices in China and provide decision-makers with the relative importance of the criteria in pricing and reimbursement decision-making of implantable medical devices.

Keywords: China; discrete choice experiment; implantable medical devices; multi-stakeholders’ preference.

MeSH terms

  • China
  • Choice Behavior
  • Humans
  • Patient Preference*
  • Prostheses and Implants*
  • Surveys and Questionnaires
  • Treatment Outcome