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A Brief Review of the Clinical Health Issue
Obesity is a major public health problem that is recognized as one of the leading causes of mortality worldwide. Obesity and overweight are two of the most common disorders that cause additional medical conditions and lead to a variety of chronic diseases, such as diabetes, cancer, metabolic disorder, and coronary heart disease (Safaei et al., 2021). In 2030, the WHO predicts that 30 percent of deaths will be caused by lifestyle illnesses, which can be avoided by identifying and treating related risk factors and implementing behavioral engagement programs (Safaei et al., 2021). In order to decrease the malignant nature of overweight and obesity and the growing tendency of such diseases, more research and regulations are required.
Critical Forecasting and Boundary Spanning Factors
Adult individuals’ overweight and severe obesity rates grew from 1999 to 2000 to 2017-2018. The danger of the disease is not only in the rapid growth but the complications. Obesity-related issues, including cardiovascular disease and terminal kidney disease, will be found among those who are severely obese (CDC, 2022). As of now, there is no simple answer to how obesity can be managed and what initiatives must be taken. It is a complicated matter that necessitates a comprehensive solution.
What This Issue Looks Like Going Forward
In order to build a culture that nurtures healthy behaviors, policymakers, federal and municipal institutions, corporate, educational, and community activists, childcare, and healthcare experts must collaborate. As a result, it can be seen that obesity has a growing tendency, and this poses a threat to the nation and requires more attention both from scientists and the government, without which the danger of the disease will only increase.
Stakeholders
Among the stakeholders in the given plan are the patients and healthcare providers. With both patient and clinician efforts, it will be possible to see which measures provide the most beneficial results. The results of the trial will be the recommendations to the policymakers on approaches to reducing the growing tendency of obesity and overweight. Thus, the parties will be incentivized on both individual and broader scopes. For example, patients who participate in the trial must have the aforementioned medical conditions. For medical providers, the incentive will be the determination of the most efficient approaches to treating obesity and overweight.
Who are they?
Stakeholders typically include attending physicians, other hospital staff, and the patients; sometimes, pharmaceutical companies are included (these are, however, common cases of medical research). The country is the most important stakeholder, which ensures significant insurance premiums.
What do I need from them?
Direct stakeholders (physicians, staff, and patients) must carefully follow the rules during the trial. Without discipline, it will be impossible to get adequate results. Physicians must follow all predetermined standards and algorithms.
How will I convince them to help?
The organization of the trial will be entirely the responsibility of the scientists and will not affect either the physicians assisting in the research or the patients. All work during the test will be under strict control and fixation, both in electronic form and on paper. Patients will be able to see the result if they wish and receive it in their hands.
Strategic measures
Among the strategic measures of the trial will be the number of participants, their obesity-related health issues, Body Mass Index (BMI), and participation in clinical and non-clinical programs.
Measure 1
The Body Mass Index will be considered one of the fundamental measurements since it shows both the existing obesity and the risk and exposure. During the test, the mass index of the case will be measured two to three times.
Measure 2
Obesity-related health issues are an essential subject to study and a severe measurement that clinicians should approach responsibly. It includes hereditary cases of obesity, eating habits, and mental diseases associated with eating behavior. Possibly, later consideration should be given to adding the social aspects of obesity to these questions.
Managerial Issues
Management issues will first relate to personnel management during the test. The calculation of the results must be kept in electronic form and subsequently printed on paper. All results data must be encrypted and protected by reliable software. Patients must be confident in their and the results’ privacy. Additional costs should be provided for in case of emergencies. All hospital staff and physicians must voluntarily participate in the trial and be prepared for extra work.
Staff Concerns for the Proposal
As for the staff, the medical professional team will participate in the trial to gather the data and provide patient care. Among the issues that might arise might be the understaffed shifts to collect the data.
Budget
The costs (budget) will include the expenses for the usage of electronic records to monitor the changes in patients’ conditions.
The structure to fulfill the proposal
The trial structure will consist of the comparison of patients with obesity and obesity-related medical conditions. The comparison will focus on the improvements and efficiency levels in patients who use non-clinical and clinical programs.
Ethical Issues
The ethical issues involve the usage of the personal information of patients, which leads to the matter of confidentiality. In this case, patients who will participate in the trial will have to sign a form of agreement. Moreover, there is an ethical issue regarding the balance between the quality of patient care and efficiency. The focus will be on efficiency rather than quality, in the given situation.
References
CDC. (2022). Causes of obesity. Centers for Disease Control and Prevention. Web.
Safaei, M., Sundararajan, E. A., Driss, M., Boulila, W., & Shapi’i, A. (2021). A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity. Computers in Biology and Medicine, 136, 1-17.
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