Policy and the Analysis Process
World health metrics range from modest event rates and counts including incidence rates for certain infections or deaths numbers to more multifaceted phenomena, for example, physical activity. Therefore, the world health metrics used to determine population health include life expectancy, mortality rates, self-reported levels of experiential and health functional status, and mental, physical as well as social wellbeing (Hoy et al., 2014). On the other hand, the key metrics for health system performance include outpatient flow, inpatient flow, surgical services, mortality rate, CMS core measures, bed turnover, readmission rate, patient satisfaction, patient transfer rate, and revenue cycle. On a similar note, the world health metrics used to determine Millennium Development Goals include disease, hunger, and poverty.
The global health metrics play a significant role in informing and developing global health policy. The global health metrics are used to inform and develop healthy policy in Saudi Arabia and globally through identifying some of the best and critical strategies aimed at building a healthier country as well as the globe (Harvey & Kitson, 2015). The metrics track program performance, measure health as well as find out ways of maximizing health system effect, therefore, offering a strong foundation for making an informed decision which results in the better wellbeing of the people. In the same token, global metrics have been designed or tailored to offer a standardized or even way of tracking core measures of progress toward Saudi Arabia’s as well as global strategic goals for x participation and content (Head et al., 2016). It is the global metrics which the policymakers in Saudi Arabia use as the starting point of us asking themselves, for example, how the country is economically doing, how the country is using donor funds and the impact of the intended policy.
Moreover, health policy is based on evidence such as epidemiological information, forensic science, and expert opinions (Harvey & Kitson, 2015). For example, epidemiology involves studying how often a disease occurs in various groups of persons and why (Small, 2016). Therefore, epidemiological information aid in planning and evaluating strategies to cure diseases as well as patients’ management guide. Besides, there exist several barriers to collecting the evidence such as uncertainty and knowledge gaps, controversial, conflicting, and irrelevant evidence, and the intricacies or complexities of the health policy process.
Lastly, one of the ethical issues I found in the research includes informed consent. The subjects had to base their volunteer participation in the study to fully understand the probable risks involved. The second primary ethical issue involved the risk of confidentiality and privacy of communities’ members. Confidentiality and privacy are concerned with the researcher being able to identify a particular person’s response, however, promise not to conduct it publicly. It is important to note that obtaining and keeping the information out of unauthorized persons imposed a lot of difficulties because most of the respondents were in public areas. Other ethical issues include objectivity, legality, and carefulness. The ethical issues helped to promote the objectives of research, for example, expanding knowledge.
Harvey, G., & Kitson, A. (2015). Translating evidence into healthcare policy and practice: single versus multi-faceted implementation strategies–is there a simple answer to a complex question?. International journal of health policy and management, 4(3), 123.
Head, M. G., Fitchett, J. R., Nageshwaran, V., Kumari, N., Hayward, A., & Atun, R. (2016). Research investments in global health: a systematic analysis of UK infectious disease research funding and global health metrics, 1997–2013. EBioMedicine, 3, 180-190.
Hoy, D., March, L., Brooks, P., Blyth, F., Woolf, A., Bain, C., ... & Murray, C. (2014). The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Annals of the rheumatic diseases, 73(6), 968-974.
Small, I. (2016). Integration Of Epidemiological Information Into A Decision Support System For Late Blight.