Digital Health (Aug 2024)

Online medical consultation in China: Demand-side analysis of obese patients’ preferences and willingness-to-pay for online obesity consultations

  • Yaolin Hu,
  • Jian Wang,
  • Yuanyuan Gu,
  • Stephen Nicholas,
  • Elizabeth Maitland,
  • Jianbo Zhou

DOI
https://doi.org/10.1177/20552076241272525
Journal volume & issue
Vol. 10

Abstract

Read online

Objective With obesity a major health concern and call on healthcare resources in China, we explored the preferences and willingness to pay (WTP) for obesity OMC, including the influencing factors behind WTP and preferences. Method We recruited 400 obese participants to undertake a discrete choice experiment (DCE) and the contingent value method (CVM) survey. We used CVM to measure obese participants’ WTP for one-click services (OCS) and used DCE to estimate obesity participants’ preferences and WTP for OMC with different attributes. Results Obese participants were willing to pay more than RMB80 on average for OCS, and more than 50% of participants had a WTP over RMB50 and 5% had a WTP over RMB300, reflecting the strong willingness of Chinese obese patients to pay for OMC. Educational background, income, ethnicity, previous OMC experience and accessibility to offline hospitals with different levels impacted WTP. The relative importance score of attributes in descending order was cost, doctors’ hospital level, doctors’ level, online waiting time, consultation time and consultation form. Obese patients preferred lower cost, doctors from higher-level hospitals, doctors with higher expertise levels, shorter waiting time and consultation duration, and telephone consultation were preferred. 30-min waiting time, 15-min consultation duration and telephone consultation were the most economically efficient set we found. Conclusion To maximize health resources, provincial tertiary and municipal hospitals face different paths to developing obesity OMC platforms. We encouraged young doctors to use OMC. OMC regulators should implement consumer protection policies to optimize OMC pricing and address potential ‘unfair’ pricing.