Dataset Information

Economic status and catastrophic health expenditures in China in the last decade of health reform: a systematic review and meta-analysis.

ABSTRACT:

Background

In order to solve the problem of "expensive medical treatment and difficult medical treatment" for patients and improve the equity of medical services, China started the health-care reform in 2009, and proposed ambitious goals of providing fair and high-quality basic medical and health services to all citizens and reducing economic burden of diseases. This study was to systematically explore the association between population economic status and incidence of catastrophic health expenditures (CHE) in mainland China in the last decade since 2009 health reform.

Methods

This systematic review was reported according to the standard of preferred reporting items for systematic reviews and meta-analyses (PRISMA). We systematically searched Chinese Electronic literature Database of China Journal Full Text Database, Chinese Biomedical Journal Database, Wan fang Data Resource System, VIP Database, and English literature databases of PubMed, SCI, EMbase and Cochrane Library from January 2000 to June 2020, and references of included studies. Two reviewers independently selected all reports from 2000 to 2020 for empirical studies of CHE in mainland China, extracted data and evaluated the quality of the study. We conducted meta-analysis of the incidence of CHE and subgroup analysis according to the time of the study and the economic characteristics of residents.

Results

Four thousand eight hundred seventy-four records were retrieved and eventually 47 studies with 151,911 participants were included. The quality scores of most of studies were beyond 4 points (91.49%). The pooled incidence of CHE of Chinese residents in the last two decades was 23.3% (95% CI: 21.1 to 25.6%). The CHE incidence increased from 2000 to 2017, then decreased over time from 2017 to 2020. From 2000 to 2020, the CHE incidence in rural areas was 25.0% (95% CI: 20.9 to 29.1%) compared to urban 20.9% (95% CI: 18.3 to 23.4%); the CHE incidence in eastern, central and western China was 25.0% (95% CI: 19.2 to 30.8%), 25.4% (95% CI: 18.4 to 32.3%), and 23.1% (95% CI: 17.9 to 28.2%), respectively; the CHE incidence was 30.9% (95% CI: 22.4 to 39.5%), 20.3% (95% CI: 17.0 to 23.6%), 19.9% (95% CI: 15.6 to 24.1%), and 23.7% (95% CI: 18.0 to 29.3%) in poverty group, low-income group, middle-income group, and high-income group, respectively.

Conclusions

In the past two decade, the incidence of CHE in rural areas is higher than that of urban residents; higher in central areas than in eastern, western and other regions; in poverty households than in low-income, middle-income and high-income regions. Further measures should be taken to reduce the incidence of CHE in susceptible people.

SUBMITTER: Yuan Q

PROVIDER: S-EPMC8229446 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:Monitoring financial protection against catastrophic health expenditures is important to understand how health financing arrangements in a country protect its population against high costs associated with accessing health services. While catastrophic health expenditures are generally defined to be when household expenditures for health exceed a given threshold of household resources, there is no gold standard with several methods applied to define the threshold and household resources. These different approaches to constructing the indicator might give different pictures of a country's progress towards financial protection. In order for monitoring to effectively provide policy insight, it is critical to understand the sensitivity of measurement to these choices. METHODS:This paper examines the impact of varying two methodological choices by analysing household expenditure data from a sample of 47 countries. We assess sensitivity of cross-country comparisons to a range of thresholds by testing for restricted dominance. We further assess sensitivity of comparisons to different methods for defining household resources (i.e. total expenditure, non-food expenditure and non-subsistence expenditure) by conducting correlation tests of country rankings. RESULTS:We found country rankings are robust to the choice of threshold in a tenth to a quarter of comparisons within the 5-85% threshold range and this increases to half of comparisons if the threshold is restricted to 5-40%, following those commonly used in the literature. Furthermore, correlations of country rankings using different methods to define household resources were moderate to high; thus, this choice makes less difference from a measurement perspective than from an ethical perspective as different definitions of available household resources reflect varying concerns for equity. CONCLUSIONS:Interpreting comparisons from global monitoring based on a single threshold should be done with caution as these may not provide reliable insight into relative country progress. We therefore recommend financial protection against catastrophic health expenditures be measured across a range of thresholds using a catastrophic incidence curve as shown in this paper. We further recommend evaluating financial protection in relation to a country's health financing system arrangements in order to better understand the extent of protection and better inform future policy changes.

Project description:BackgroundOut- of-pocket health expenditures (OOPs) constitute a significant proportion of total health expenditures in many low- and middle-income countries (LMICs), leading to an increased likelihood of exposure to financial catastrophe in the event of illness. Health insurance has the potential to reduce catastrophic health expenditures (CHE), but rigorous evidence of its sustained impact is limited, especially in LMICs. This study examined the short- and longer-term effects of a health insurance program in Kwara State, Nigeria on CHE.MethodsThe analysis is based on a panel dataset consisting of 3 waves of household surveys in program and comparison areas. The balanced data consists of 1,039 households and 3,450 individuals. We employed a difference-in-differences (DiD) regression approach to estimate intention-to-treat effects, and then computed average treatment effects on the treated by combining DiD with propensity score weighting and an instrumental variables analysis. CHE was measured as OOPs exceeding 10% of household consumption and 40% of capacity-to-pay (CTP).ResultsUsing 10% of consumption as a CHE measure, we found that living in the program area was associated with a 4.3 percentage point (pp) decrease in CHE occurrence (p < 0.05), while the effect on insured households was 5.7 pp (p < 0.05). The longer-term impact four years after program introduction was not significant. Heterogeneity analyses show a reduction in CHE of 7.2 pp (p < 0.01) in the short-term for the poorest tercile. No significant effects were found for the middle and richest terciles, nor in the longer-term. Households with a chronically ill member experienced a reduction in CHE of 9.4 pp (p < 0.01) in the short-term, but not in the longer-term. Most estimates based on the 40% of CTP measure were not statistically significant.ConclusionThese findings highlight the critical role of health insurance in reducing the likelihood of catastrophic health expenditures, especially for vulnerable populations such as the poor and the chronically ill, and by extension in achieving universal health coverage. They also show that the beneficial impacts of health insurance may attenuate over time, as households potentially adjust their health-seeking behavior to the new scheme.