Application of DEA-Based Malmquist Productivity Index on Health Care System Efficiency of ASEAN Countries.

This study assesses and compares the productive efficiency of the national healthcare system of the ASEAN region which includes Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam amidst rising mortality rate from noncommunicable diseases (NCDs) in the Sustainable Development Goals (SDGs) era. Nonparametric data envelopment analysis technique based on the Malmquist Productivity Index is performed and its components, total factor productivity change, technical change and technological change are compared across the region. Two different models are considered in assessing and comparing the technical efficiency of the national healthcare system across the region with life expectancy at birth and mortality rate from NCDs as parallel health care output for both the models. The mean value of total factor productivity is 0.983 and 0.974 which suggests that national healthcare system productivity efficiency decays by 1.7% for Model I and 2.6% for Model II, respectively. This suggests that the health care system inefficiencies across the ASEAN region have not made life expectancy to improve as much as it should be and curtailed the mortality rate from growing chronic NCDs within a decade. The region is likely to lag behind in achieving SDGs 3 target 4 on reducing by one-third premature mortality from chronic NCDs unless the health care system's technical efficiency is improved across the region. The finding suggests a microlevel study on each country to identify major sources of healthcare system inefficiency in a bid to ameliorate it.

Predicting key drivers for health care expenditure growth in the Middle East region: a Grossman-PLS modeling approach.

BACKGROUND: Numerous studies have provided evidence to the literature on the demand side of the determinants of health-care expenditure by employing the Grossman model. However, understanding the supply side of the determinants of health-care expenditure will be of crucial importance for improving health outcomes. METHODS: This study has used panel data for 15 Middle-East region countries for the time period of 2000-2016 Initially, Grossman's model of the demand for care is estimated. Furthermore, a Parallel model of the supply of care is estimated for contradistinction analysis. Finally, an integrated partial least square structural equation model is being developed. RESULTS: Results show that the relative wage rate and aging variables are the only indicators that are statistically significant with theoretically consistent signs as postulated by Grossman's theoretical model. The opposite is true with schooling and the proxy of the medical care relative prices. However, in the parallel model, all the four drivers of the demand for care are statistically significant determinants of health-care spending. CONCLUSIONS: Therefore, expansion of health insurance coverage particularly for the elderly cohort of the population could be a promising mechanism to boost the demand for care and eventually improve health outcomes.

Analysing the Predictors of Financial Stress and Financial Well-Being among the Bottom 40 Percent (B40) Households in Malaysia.

This paper aims to analyse factors affecting financial stress among the Bottom 40 Percent (B40) group of Malaysian households, reflecting overall financial well-being. Data were collected through questionnaires from 1008 respondents across five major regions in Malaysia. The data were analysed using Exploratory Factor Analysis (EFA) and Partial Least Squares-Structural Equation Modelling (PLS-SEM). This study provides evidence that financial behaviour, financial vulnerability (debt and income), and locus of control (luck and self-confidence) significantly affect financial stress among B40 households. The results show a significantly positive relationship between financial stress with financial vulnerability (debt and income) and locus of control (self-confidence). On the contrary, financial behaviour and locus of control (luck) show a significant negative relationship with financial stress. The result also indicates that financial stress affects financial well-being. Overall, the findings indicate that policy-makers should invent more effective and substantial stimulus packages or other measures to reduce the financial burden on B40 households. The findings could eventually provide insights for future research to delve into the social impact of financial stress. This study also has established a valid and reliable instrument to measure financial stress involving B40 households in Malaysia that eventually reflects the financial well-being of this group of people.