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  1. van Doorslaer E, O'Donnell O, Rannan-Eliya RP, Somanathan A, Adhikari SR, Garg CC, et al.
    Health Econ, 2007 Nov;16(11):1159-84.
    PMID: 17311356
    Out-of-pocket (OOP) payments are the principal means of financing health care throughout much of Asia. We estimate the magnitude and distribution of OOP payments for health care in fourteen countries and territories accounting for 81% of the Asian population. We focus on payments that are catastrophic, in the sense of severely disrupting household living standards, and approximate such payments by those absorbing a large fraction of household resources. Bangladesh, China, India, Nepal and Vietnam rely most heavily on OOP financing and have the highest incidence of catastrophic payments. Sri Lanka, Thailand and Malaysia stand out as low to middle income countries that have constrained both the OOP share of health financing and the catastrophic impact of direct payments. In most low/middle-income countries, the better-off are more likely to spend a large fraction of total household resources on health care. This may reflect the inability of the poorest of the poor to divert resources from other basic needs and possibly the protection of the poor from user charges offered in some countries. But in China, Kyrgyz and Vietnam, where there are no exemptions of the poor from charges, they are as, or even more, likely to incur catastrophic payments.
    Matched MeSH terms: Financing, Personal/economics*
  2. Asante A, Price J, Hayen A, Jan S, Wiseman V
    PLoS One, 2016;11(4):e0152866.
    PMID: 27064991 DOI: 10.1371/journal.pone.0152866
    INTRODUCTION: Health financing reforms in low- and middle- income countries (LMICs) over the past decades have focused on achieving equity in financing of health care delivery through universal health coverage. Benefit and financing incidence analyses are two analytical methods for comprehensively evaluating how well health systems perform on these objectives. This systematic review assesses progress towards equity in health care financing in LMICs through the use of BIA and FIA.

    METHODS AND FINDINGS: Key electronic databases including Medline, Embase, Scopus, Global Health, CinAHL, EconLit and Business Source Premier were searched. We also searched the grey literature, specifically websites of leading organizations supporting health care in LMICs. Only studies using benefit incidence analysis (BIA) and/or financing incidence analysis (FIA) as explicit methodology were included. A total of 512 records were obtained from the various sources. The full texts of 87 references were assessed against the selection criteria and 24 were judged appropriate for inclusion. Twelve of the 24 studies originated from sub-Saharan Africa, nine from the Asia-Pacific region, two from Latin America and one from the Middle East. The evidence points to a pro-rich distribution of total health care benefits and progressive financing in both sub-Saharan Africa and Asia-Pacific. In the majority of cases, the distribution of benefits at the primary health care level favoured the poor while hospital level services benefit the better-off. A few Asian countries, namely Thailand, Malaysia and Sri Lanka, maintained a pro-poor distribution of health care benefits and progressive financing.

    CONCLUSION: Studies evaluated in this systematic review indicate that health care financing in LMICs benefits the rich more than the poor but the burden of financing also falls more on the rich. There is some evidence that primary health care is pro-poor suggesting a greater investment in such services and removal of barriers to care can enhance equity. The results overall suggest that there are impediments to making health care more accessible to the poor and this must be addressed if universal health coverage is to be a reality.

    Matched MeSH terms: Financing, Personal/economics
  3. Naqvi AA, Naqvi SBS, Zehra F, Verma AK, Usmani S, Badar S, et al.
    Appl Health Econ Health Policy, 2018 12;16(6):871-888.
    PMID: 30128833 DOI: 10.1007/s40258-018-0422-6
    BACKGROUND: Pakistan is one of the last few countries in which poliomyelitis is endemic. Evidence indicates that out-of-pocket expenditures are a barrier to polio rehabilitation treatment, yet there are no reported figures related to the financial burden of this disease on patients in a recently polio-endemic country.

    OBJECTIVE: This study investigated direct costs attributed to rehabilitation treatment of poliomyelitis among Pakistani patients and reported its duration along with the socioeconomic status of poliomyelitis survivors.

    CONCLUSION: The cost of poliomyelitis rehabilitation in Pakistan is high; it has an economic effect on the lives of patients and their families. Despite good education, polio survivors in Pakistan appear to have low socioeconomic status, lower chances of employment and marriage, as well as fewer children. Further research is recommended to explore the burden of disease on society, i.e., indirect costs and suffering.

    Matched MeSH terms: Financing, Personal/economics
  4. Lim YW, Shafie AA, Chua GN, Ahmad Hassali MA
    Value Health, 2017 09;20(8):1131-1138.
    PMID: 28964445 DOI: 10.1016/j.jval.2017.04.002
    BACKGROUND: One major challenge in prioritizing health care using cost-effectiveness (CE) information is when alternatives are more expensive but more effective than existing technology. In such a situation, an external criterion in the form of a CE threshold that reflects the willingness to pay (WTP) per quality-adjusted life-year is necessary.

    OBJECTIVES: To determine a CE threshold for health care interventions in Malaysia.

    METHODS: A cross-sectional, contingent valuation study was conducted using a stratified multistage cluster random sampling technique in four states in Malaysia. One thousand thirteen respondents were interviewed in person for their socioeconomic background, quality of life, and WTP for a hypothetical scenario.

    RESULTS: The CE thresholds established using the nonparametric Turnbull method ranged from MYR12,810 to MYR22,840 (~US $4,000-US $7,000), whereas those estimated with the parametric interval regression model were between MYR19,929 and MYR28,470 (~US $6,200-US $8,900). Key factors that affected the CE thresholds were education level, estimated monthly household income, and the description of health state scenarios.

    CONCLUSIONS: These findings suggest that there is no single WTP value for a quality-adjusted life-year. The CE threshold estimated for Malaysia was found to be lower than the threshold value recommended by the World Health Organization.

    Matched MeSH terms: Financing, Personal/economics*
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