Akachi & Kruk’s (2017) article depicts how the quality of care is important towards the achievement of a sustainable development goal, which is associated with health and well-being. Statistical evidence asserts that poor quality of care negatively affects health interventions, especially in most developing countries. Therefore, the article comprehensively describes the importance of quality care as regards the success of universal care initiatives that would encourage citizens to back up public financing and health care. Consequently, Akachi & Kruk's (2017) further claim from the past health records, there is a need to adhere to ethical impetus. This would ensure inclusive and universal access to quality and standardized care to enhance a general health improvement for the benefit of even the poor.
Conversely, the aforesaid countries lack competency in measuring the quality standards related to health care. This implies that the health information systems only offer partial and untrustworthy data in addition to a lot of indicators of uncertain utility with limited services (Akachi & Kruk, 2017). Still, the article provides a clear view of how the existing measures inadequately address the process of care and patient outcomes, which is the most sensitive part of healthcare practices. Hence, there is need to reform policies aimed at improving the quality of care on a long-term basis.
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Albeit the article incomprehensively depicts the median in its descriptive statistics as 25.5, the figure under which the domains for complete healthcare systems were covered, inferential statistics is satisfactory (Akachi & Kruk, 2017). Typically, the population observed in the analysis provides a crucial milestone in reforming the policies intended to improve the healthcare system. For example, the data relating to the health workforce we can predict the availability of emergency staff to cater to the needs of the patients for better outcomes. Therefore, appropriate legislation can be passed regarding the same. Hence, both inferential and descriptive statistics are vital to making daily health care decisions as regards the minimum staffing levels that could enhance the provision of quality care to improve patient outcomes.
Reference
Akachi, Y. & Kruk, M. E. (2017). Measuring Quality of Health Care. Quality of Care: Measuring a Neglected Driver of Improved Health. Bulletin of the World Health Organization; Type: Policy & practice . Retrieved from http://www.who.int/bulletin/online_first/BLT.16.180190.pdf
