title: Main drivers of health expenditure growth in China: a decomposition analysis.
abstract: In past two decades, health expenditure in China grew at a rate of 11.6% per year, which is much faster than the growth of the country's economy (9.9% per year). As cost containment is a key aspect of China's new health system reform agenda, this study aims to identify the main drivers of past growth so that cost containment policies are focussed in the right areas.
  
  
  
  The analysis covered the period 1993-2012. To understand the drivers of past growth during this period, Das Gupta's decomposition method was used to decompose the changes in health expenditure by disease into five main components that include population growth, population ageing, disease prevalence rate, expenditure per case of disease, and excess health price inflation. Demographic data on population size and age-composition were obtained from the Department of Economic and Social Affairs of the United Nations. Age- and disease- specific expenditure and prevalence rates by age and disease were extracted from China's National Health Accounts studies and Global Burden of Disease 2013 studies of the Institute for Health Metrics and Evaluation, respectively.
  
  
  
  Growth in health expenditure in China was mainly driven by a rapid increase in real expenditure per prevalent case, which contributed 8.4 percentage points of the 11.6% annual average growth. Excess health price inflation and population growth contributed 1.3 and 1.3% respectively. The effect of population ageing was relatively small, contributing 0.8% per year. However, reductions in disease prevalence rates reduced the growth rate by 0.3 percentage points.
  
  
  
  Future policy in optimising growth in health expenditure in China should address growth in expenditure per prevalent case. This is especially so for neoplasms, and for circulatory and respiratory disease. And a focus on effective interventions to reduce the prevalence of disease in the country will ensure that changing disease rates do not lead to a higher growth in future health expenditure; Measures should be taken to strengthen the capacity of health personnel in grass-roots facilities and to establish an effective referral system, so as to reduce the growth in expenditure per case of disease and to ensure that excess health price inflation does not grow out of control.
authors.affiliation: Centre for Research & Action in Public Health, Health Research Institute, University of Canberra, 2601, Canberra, ACT, Australia. Tiemin.zhai@canberra.edu.au.|Department of National Health Accounts and Policy Studies, China National Health Development Research Centre, Beijing, 100191, China. Tiemin.zhai@canberra.edu.au.
authors.forename: Tiemin
authors.initials: T
authors.lastname: Zhai
authors.affiliation: Centre for Research & Action in Public Health, Health Research Institute, University of Canberra, 2601, Canberra, ACT, Australia.
authors.forename: John
authors.initials: J
authors.lastname: Goss
authors.affiliation: Institute of Governance and Policy Analysis, University of Canberra, Canberra, 2601, ACT, Australia.
authors.forename: Jinjing
authors.initials: J
authors.lastname: Li
mesh_terms: D000208:Acute Disease / Q000191:economics*; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D002648:Child; D002675:Child, Preschool; D002681:China / Q000453:epidemiology; D002908:Chronic Disease / Q000191:economics*; D017046:Cost Savings; D003710:Demography; D005260:Female; D005544:Forecasting; D006078:Government Programs; D018166:Health Care Reform / Q000191:economics / Q000639:trends; D005102:Health Expenditures / Q000639:trends*; D006291:Health Policy / Q000191:economics*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D011156:Population Density; D011158:Population Growth; D014947:Wounds and Injuries / Q000191:economics / Q000453:epidemiology / Q000628:therapy; D055815:Young Adult
keywords: Decomposition; Drivers; Health expenditure