Literature DB >> 16806563

Hong Kong's health spending projections through 2033.

Gabriel M Leung1, Keith Y K Tin, Wai-Sum Chan.   

Abstract

OBJECTIVE: To derive actuarial projection estimates of Hong Kong's total domestic health expenditure to the year 2033.
METHODS: Disaggregating health expenditure by age, sex, unit cost and utilisation level, we estimated future health spending by projecting utilisation (by public/private, inpatient/outpatient care) to reflect demographic changes and associated increase in demand (from higher expectations and greater intensity of care), and then multiplying such by the projected unit costs (incorporating the impact of key cost drivers such as public expectations, technological changes and potential productivity gains) to obtain total expenditure estimates.
RESULTS: The model was most sensitive to the excess health care price inflation rate, i.e. the annual price/cost growth of medical goods and services over and above per capita GDP growth. Population ageing and growth per se, without taking into account related technologic innovation for chronic conditions that particularly afflict older adults, contribute relatively little to overall spending growth. Given the model assumptions, it is possible to limit total health spending to below 10% of GDP by 2033, where the public share would gradually decline from the current 57% to between 46% and 49%.
CONCLUSIONS: Expenditure control through global budgeting, technology assessment and demand-side constraints should be considered although their effectiveness remains inconclusive.

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Year:  2006        PMID: 16806563     DOI: 10.1016/j.healthpol.2006.05.014

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  4 in total

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Authors:  Eric Yuk Fai Wan; Esther Yee Tak Yu; Weng Yee Chin; Daniel Yee Tak Fong; Edmond Pui Hang Choi; Eric Ho Man Tang; Cindy Lo Kuen Lam
Journal:  J Am Soc Nephrol       Date:  2019-09-06       Impact factor: 10.121

2.  Main drivers of health expenditure growth in China: a decomposition analysis.

Authors:  Tiemin Zhai; John Goss; Jinjing Li
Journal:  BMC Health Serv Res       Date:  2017-03-09       Impact factor: 2.655

3.  Long-term care cost drivers and expenditure projection to 2036 in Hong Kong.

Authors:  Roger Y Chung; Keith Yk Tin; Benjamin J Cowling; King Pan Chan; Wai Man Chan; Su Vui Lo; Gabriel M Leung
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4.  Development and validation of algorithms to classify type 1 and 2 diabetes according to age at diagnosis using electronic health records.

Authors:  Calvin Ke; Thérèse A Stukel; Andrea Luk; Baiju R Shah; Prabhat Jha; Eric Lau; Ronald C W Ma; Wing-Yee So; Alice P Kong; Elaine Chow; Juliana C N Chan
Journal:  BMC Med Res Methodol       Date:  2020-02-24       Impact factor: 4.615

  4 in total

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