Displaying all 5 publications

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  1. Yu CP, Whynes DK, Sach TH
    Int J Health Plann Manage, 2006 10 19;21(3):193-210.
    PMID: 17044546
    Throughout the world, policy makers are considering or implementing financing strategies that are likely to have a substantial impact on the equity of health financing. The assessment of the equity implication is clearly important, given the potential impact that alternative finance sources have on households. Households incur out-of-pocket payment directly from their budget, apart from their public or private insurance. Out-of-pocket payment is the primary concern, given their undesirable impact on households. Progressivity measures departures from proportionality in the relationship between out-of-pocket payment and ability to pay. It is the most frequently used yardstick to assess the equity of out-of-pocket payments in empirical studies. This paper provides an evaluation of such progressivity measures, undertaken using four approaches (proportion approach, tabulation approach, concentration curve and Kakwani's index), in order to reveal their usefulness and underlying notion. It is illustrated empirically with data on out-of-pocket payment for health care in Malaysia for 1998/ 1999, based on the nationally representative Household Expenditure Survey. Results indicate that out-of-pocket payments are mildly progressive, whilst the four approaches have their benefits and limitations in assessing equity implications. This analysis is of interest from a policy perspective, given Malaysia's heavy reliance on out-of-pocket payments to finance health care.
    Matched MeSH terms: Health Expenditures/trends
  2. Harapan H, Wagner AL, Yufika A, Winardi W, Anwar S, Gan AK, et al.
    Hum Vaccin Immunother, 2020 12 01;16(12):3074-3080.
    PMID: 32991230 DOI: 10.1080/21645515.2020.1819741
    How countries, particularly low- and middle-income economies, should pay the coronavirus disease 2019 (COVID-19) vaccine is an important and understudied issue. We undertook an online survey to measure the willingness-to-pay (WTP) for a COVID-19 vaccine and its determinants in Indonesia. The WTP was assessed using a simple dichotomous contingent valuation approach and a linear regression model was used to assess its associated determinants. There were 1,359 respondents who completed the survey. In total, 78.3% (1,065) were willing to pay for the COVID-19 vaccine with a mean and median WTP of US$ 57.20 (95%CI: US$ 54.56, US$ 59.85) and US$ 30.94 (95%CI: US$ 30.94, US$ 30.94), respectively. Being a health-care worker, having a high income, and having high perceived risk were associated with higher WTP. These findings suggest that the WTP for a COVID-19 vaccine is relatively high in Indonesia. This WTP information can be used to construct a payment model for a COVID-19 vaccine in the country. Nevertheless, to attain higher vaccine coverage, it may be necessary to partially subsidize the vaccine for those who are less wealthy and to design health promotion materials to increase the perceived risk for COVID-19 in the country.
    Matched MeSH terms: Health Expenditures/trends*
  3. Kananatu K
    Asia Pac J Public Health, 2002;14(1):23-8.
    PMID: 12597514
    This paper presents an overview of the Malaysian healthcare system and its method of financing. The development of the healthcare delivery system in Malaysia is commendable. However, the strength and weaknesses of the public healthcare system and the financing problems encountered are also discussed. Cost of healthcare and funding of both the public and private sectors were also revealed. One must optimise the advantages of operating a health financing scheme which is affordable and controllable which contribute towards cost-containment and quality assurance. Thus, there is a need for the establishment of a National Healthcare Financing, a mechanism to sustain the healthcare delivery network and operate it as a viable option. A model of the National Health Financing Scheme (NHFS) was proposed.
    Matched MeSH terms: Health Expenditures/trends
  4. Kerr PG, Tran HTB, Ha Phan HA, Liew A, Hooi LS, Johnson DW, et al.
    Kidney Int, 2018 09;94(3):465-470.
    PMID: 30045813 DOI: 10.1016/j.kint.2018.05.014
    Matched MeSH terms: Health Expenditures/trends
  5. Bhargava V, Jasuja S, Tang SC, Bhalla AK, Sagar G, Jha V, et al.
    Nephrology (Carlton), 2021 Nov;26(11):898-906.
    PMID: 34313370 DOI: 10.1111/nep.13949
    BACKGROUND: Peritoneal dialysis (PD) as a modality of kidney replacement therapy (KRT) is largely underutilized globally. We analyzed PD utilization, impact of economic status, projected growth and impact of state policy(s) on PD growth in South Asia and Southeast Asia (SA&SEA) region.

    METHODS: The National Nephrology Societies of the region responded to a questionnaire on KRT practices. The responses were based on the latest registry data, acceptable community-based studies and societal perceptions. The representative countries were divided into high income and higher-middle income (HI & HMI) and low income and lower-middle income (LI & LMI) groups.

    RESULTS: Data provided by 15 countries showed almost similar percentage of GDP as health expenditure (4%-7%). But there was a significant difference in per capita income (HI & HMI -US$ 28 129 vs. LI & LMI - US$ 1710.2) between the groups. Even after having no significant difference in monthly cost of haemodialysis (HD) and PD in LI & LMI countries, they have poorer PD utilization as compared to HI & HMI countries (3.4% vs. 10.1%); the reason being lack of formal training/incentives and time constraints for the nephrologist while lack of reimbursement and poor general awareness of modalities has been a snag for the patients. The region expects ≥10% PD growth in the near future. Hong Kong and Thailand with 'PD first' policy have the highest PD utilization.

    CONCLUSION: Important deterrents to PD underutilization were lack of PD centric policies, lackadaisical patient/physician's attitude, lack of structured patient awareness programs, formal training programs and affordability.

    Matched MeSH terms: Health Expenditures/trends*
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