Prediction of COVID-19 patients' participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches.

Journal: BMC health services research
PMID: 38987739

Abstract

BACKGROUND: Informal care plays an essential role in managing the COVID-19 pandemic. Expanding health insurance packages that reimburse caregivers' services through cost-sharing policies could increase financial resources. Predicting payers' willingness to contribute financially accurately is essential for implementing such a policy. This study aimed to identify the key variables related to WTP/WTA of COVID-19 patients for informal care in Sanandaj city, Iran.

Authors

  • Vajihe Ramezani-Doroh
    Department of Health Management and Economics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Somayeh Najafi-GhOBADI
    Department of Industrial Engineering, Faculty of Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
  • Faride Karimi
    Department of Health Management and Economics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Maryam Rangchian
    Department of Clinical Pharmacy, School of Pharmacy, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Omid Hamidi
    Department of Science, Hamedan University of Technology, Hamedan, Iran.

Keywords

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