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Kanjana Tisayaticom Shaheda Viriyathorn Vuthiphan Wongmongkol Chitpranee Vasavid Walaiporn Patcharanarumol Supon Limwattananon Viroj Tangcharoensathien, et al International Health Policy Program Sukosol Hotel, Bangkok March 12, 2013.
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Kanjana Tisayaticom Shaheda Viriyathorn Vuthiphan Wongmongkol Chitpranee Vasavid Walaiporn Patcharanarumol Supon Limwattananon Viroj Tangcharoensathien, et al International Health Policy Program Sukosol Hotel, Bangkok March 12, 2013 Thai National Health accountsby age group, health insurance scheme, and disease categories
Outlines of presentation • Introduction • Objectives • Methodology • Data sources • Results • Conclusion
Objectives • To develop the diversification of 2007NHA to reflect health expenditure by: • Age group, • Gender, • Health insurance coverage, • Disease category. • Application of disease category to NHA data from 2008-2010
Conceptual framework and process of analysis STEP 1: To calculate proportion of charges OP and IP individual dataset: ICD 10, total costs or charges of services e.g. doctor fee, medicine, lab, room etc. Group by ICD 10 A1: Tuberculosis A2a: Syphilis .. .. U: Injury Charges by disease categories Proportion of charge by disease categories STEP 2: To break down NHA NHA: total OP and IP expenditure Two major prerequisites NHA: IP and OP expenditure by disease categories
Data sources • NHA data • Public registration records • Secondary data from the national surveys • Household and Enterprise surveys, (NSO) • Primary surveys • State Enterprises • Public Independent Organizations • IP database • IP database from Center of Health Information (CHI)
Percentage of estimated public curative expenditure for in-patient services by age group, gender and health insurance scheme, 2007
The estimated public curative expenditure for IP services by age group, gender and health insurance scheme, 2007 (Million Baht)
Percentage of estimated public curative expenditure for IP services by disease category and health insurance scheme, 2007
The estimated public curative expenditure for IP services by disease category and health insurance scheme, 2007 (Million Baht)
Limitations and lesson learned • Expenditure by disease category is possible given: • Well established NHA by healthcare function (spending on OP and IP) • Availability and continued update of national clinical data covering ICD10 including charge or expenditure data for OP and IP • Institutional capacity to apply national clinical dataset for the estimate expenditure by disease categories
Acknowledgements • Health Systems Research Institute (HSRI) • Thailand Research Fund (TRF) • Bureau of Policy and Strategy, Ministry of Public Health, • WHO-Thailand • The Central of Health Information (CHI) • Partners for 1994-2008 NHA for their hard work and commitment: • College of Public Health, Chulalongkorn University • National Statistical Office • National Economic and Social Development Board • Ministry of Public Health, Thailand • Ministry of Finance of Thailand(MOF) • The National Health Security Office (NHSO) • The Social Security Office(SSO)
Sawasdee Thank you for your attention