Abstract
Background
Having access to convenient and quality healthcare at all times is not only a human right but also a goal that many countries strive to achieve for their population. However, access to healthcare might face blocks in the presence of financial exclusions. Saudi Arabia has, over the years, continued to pursue policy and system reforms to enhance its population’s access to financial inclusion, as well as proper health coverage to improve health outcomes. This study seeks to estimate the effects of financial inclusion on the financial hardships in accessing healthcare in Saudi Arabia.
Methods
This study uses a nationally representative survey conducted with 1009 adults, using the 2017 World Bank Global Findex Study data. The study estimates the conditional probability of coming up with emergency funds and the conditional probability of borrowing for medical purposes to understand access to healthcare. A composite value is created for financial inclusion using several variables for individuals’ interactions with financial institutions, such as access to financial services and loans.
Results
The results revealed that financially included individuals have a higher conditional probability of both borrowing for medical purposes and coming up with emergency funds, compared to those who are financially excluded. Additionally, the study showed that individuals in low-income brackets are more likely to be financially excluded and have a reduced chance of coming up with emergency funds and borrowing for medical purposes.
Conclusion
These findings indicate that there is need for authorities to roll out a financial inclusion drive that will not only incentivise the financially excluded population to become included but that will also aim at promoting various financial products so that those who are already financially included have a wide range from which they can choose.
Data Sharing Statement
The datasets is available on the World Bank website.
Ethical Approval
This paper does not require ethical approval because we used a secondary data. Furthermore, the data is de-identified. The outcomes of the analysis do not allow re-identification and the use of data cannot result in any damage or distress.
Author Contributions
All authors contributed to data analysis, drafting or revising the article, have agreed on the journal to which the article will be submitted, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.
Disclosure
The authors declare no conflicts of interest in this work.