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  1. E-health implementation challenges in Iranian medical centers: a qualitative study in Iran
    Sharifi M, Ayat M, Jahanbakhsh M, Tavakoli N, Mokhtari H, Wan Ismail WK
    Telemed J E Health, 2013 Feb;19(2):122-8.
    PMID: 23374035 DOI: 10.1089/tmj.2012.0071
    E-health encompasses a wide scope and has excellent potential to grow in the future. Growing numbers of experts believe that e-health will fuel the next breakthroughs in health system improvements throughout the world. There is frequent evidence that largely indicates failures or unsustainable e-health implementations in different countries for different reasons. Iran is also a developing country that is presently applying this promising technology for its traditional healthcare delivery.
  2. Willingness to Pay for National Health Insurance: A Contingent Valuation Study Among Patients Visiting Public Hospitals in Melaka, Malaysia
    Tan RTH, Abdul Rasid SZ, Wan Ismail WK, Tobechan J, Tan ETY, Yusof AN, et al.
    Appl Health Econ Health Policy, 2022 Mar;20(2):255-267.
    PMID: 34927225 DOI: 10.1007/s40258-021-00691-z
    BACKGROUND: The Malaysian public healthcare system is tax funded, with healthcare costs highly subsidized by the Government. The current health financing is not sustainable to cover all the healthcare resources. Introducing a national health insurance (NHI), a prepayment method, would protect the population from financial hardship by reducing out-of-pocket payment, minimizing the barrier to accessing health and achieving equitable healthcare. Studies on the willingness to pay (WTP) for NHI are available in different contexts; however, little was found in Malaysia. In addition, factors affecting the WTP for NHI have been less researched in the Malaysian context.

    OBJECTIVE: This study investigates the WTP for NHI and factors influencing it in Melaka, Malaysia.

    METHOD: Using the contingent valuation method, the researchers distributed a pre-tested self-administered questionnaire to 489 respondents in three leading public hospitals from 1 to 9 November 2019. Multi-stage sampling forms the selection of respondents. Respondents were presented with a hypothetical scenario on NHI and asked whether they would be willing to pay for NHI. Chi-square was used to examine the association between categorical independent variables and WTP for NHI, and binary logistic regression was applied to determine the variables with the most predictive effect towards WTP for NHI.

    RESULTS: Out of 462 usable responses, 344 respondents (74.5%) were willing to pay for NHI. The majority (51.3%) of the respondents were willing to pay 15 Malaysian Ringgit (3.70 US dollars) or more for the NHI scheme. Chi-square analysis revealed that age, marital status, education level, employment status, chronic diseases, and perception towards NHI were significantly associated with WTP for NHI. Binary regression analysis found that marital status and perception towards NHI have the most predictive effect on respondents' WTP for NHI.

    CONCLUSION: This study revealed that the majority of the respondents are willing to pay for NHI if implemented in Malaysia. The findings lay a foundation for implementing a future NHI framework in Malaysia and reference future health financing research.

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