Categories
Nevin Manimala Statistics

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

Expert Rev Pharmacoecon Outcomes Res. 2022 Apr 30. doi: 10.1080/14737167.2022.2073222. Online ahead of print.

ABSTRACT

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 in improving health outcomes.

METHODS: This study has used the panel data of 15 Middle – East region countries for the time period of 2000 – 2016 periods. 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 ageing 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.

PMID:35491846 | DOI:10.1080/14737167.2022.2073222

By Nevin Manimala

Portfolio Website for Nevin Manimala