Many caregivers rely on various technological advances for wellness diagnoses and prevention, and medical technologies are rapidly becoming a core aspect of care propagation. Preventive care among many healthcare entities, such as community programs, is critical for improving medical outcomes. Obesity is a complicated condition characterized by an overabundance of body fat. Obese people can benefit much from healthcare design in general, increasing health and well-being and information exchange and counseling. Similarly, obesity-related comorbidities necessitate coordinated care to ensure a complete strategy for the clients’ health. Likewise, societal resources are very important in assisting patient care and health outcomes. The impact of information technology, clinical services, and social service on treating a 60-year-old obese patient at Cobble Bill Rehabilitation Center is the subject of this article.
The Patient’s Experience with Health-Care Technology
A survey of technologies utilized by obese patients are explained in this section and a correlation of the research to the writer’s experience. The use of mobile applications to aid patients in regulating and monitoring their caloric intake is an advanced trend in weight management (Berry et al., 2021). This method has been recognized as a vital component of optimal obesity self-management. The benefits include medication compliance and continuous intravenous consumption, diet and exercise modulation, and frequent vital signs monitoring for better metabolic health. When examined to the client’s perceptions, it was discovered that the victim did not use this technique but believed that it could assist him in fat control and treatment adherence.
Obesity apps are beneficial in helping patients cope with their weight and make lifestyle changes, but they come with several drawbacks and limits that can be unpleasant for users. Many programs give anonymous data, making them only minimally beneficial for self-monitoring and operations (Falkenhain et al., 2021). Many programs only provide educational content at best, limiting their usefulness. Another important element is the lack of information and the sense of difficulty. This is a barrier to digital use, particularly in older persons who are not computer adept, such as this 60-year-old man. When I spent time with the obese patient, he said that he had no idea how to use these advanced technologies and hence had not bothered to install the application. This conclusion is consistent with the literature, which suggests that the perceived difficulty of using technology is a significant obstacle to effective technology acceptance.
Saxenda is a technology that can help this 60-year-old patient in addition to obesity control apps. Since it is an advanced approach, a Saxenda injections medication is considered a powerful technology. The patient who is the focus of this initiative uses this new tech. The patient reported that it was simpler to use and less unpleasant to inject in assessing the innovation. The recent cloud computing study supports the benefits identified by patients. Saxenda injectable prescriptions resulted in increased contentment and precision in coping with obese patients and decreased disclosed pain and simplicity of administration (Kahal et al., 2021). Since this Saxenda injectable medication is more straightforward and consumer-friendly, it improves patient adherence to therapy and personality.
On the other hand, this technology has been discovered as being more costly. As a result, the patient will have to pay more than if he had recourse to Saxenda, which is more convenient for him in terms of obesity control. As a result, the value of this technology may be the primary impediment to its application in obesity identity. Generally, obesity management apps and Saxenda are among the most powerful technologies for the 60-year-old patient, and they help him better manage their weight.
Coordination of Care and Community resources for the management of obesity
Clinical integration is critical for treating chronic illnesses, and this is especially true for obese individuals. The major goals of obesity care integration are to provide adequate metabolic control and treat probable obesity-related disorders. The individual in this final project has high blood pressure, identified three years ago (Zócalo et al., 2017). Cross-reactivity with hypertension necessitates care management to maintain the person’s glucose and hemoglobin compression levels. The patient has a monitoring device to monitor and manage their cardiac output. Appropriate care planning can assist in the effective management of diseases.
Furthermore, it has been proven that coordinating care with pooled resources is useful in treating overweight society patients. A social healthcare practitioner is an important public resource who trains patients and assists them in navigating the complex medical system. According to a study, coordinated care individuals’ clinical results lower healthcare costs and minimize health inequities (Cernadas & Fernández, 2021). From a patient’s perspective, a medical professional who assists them in navigating the medical system while providers enhance and simultaneously provide knowledge could be beneficial. Care collaboration with physiotherapists improves accessibility to care for disadvantaged communities, reducing inequities in overall health. Even though the individual, in this case, does not have a connection to a social service professional, it is believed that having such access would enhance their obesity control and health results dramatically.
Communal friendships are also regarded as crucial in obesity care, in complement to the efforts of a clinical worker. The term “social networks” refers to connections with others in the social environment who also handle obesity. On the other hand, social relationships are useful in managing obesity by sharing materials and increasing diabetic consciousness. As a result, social media platforms can share diabetes-related understanding and content, improving identity and compliance and developing positive outcomes. When chatting with the obesity patient, he stated that obtaining support and addressing the situation with others who have the same condition helped him change his lifestyle to match the needs of obesity self-management.
As a result, his insights are consistent with existing research on societal systems and obesity control. Some research, however, argues that social relationships are more likely to propagate obesity by encouraging harmful behaviors. This model refutes assertions that social connections can help people manage their diabetes. On the other hand, the empirical observation backs up findings that online communities are beneficial. In general, it was discovered that care coordination is highly important for controlling complications, and community services are beneficial in increasing obesity self-efficacy. As a result, it is suggested that enhanced care coordination between healthcare and social stakeholders be undertaken to improve diabetic patient quality care.
Practice standards and policies related to the problem of the study
Different norms and rules influence the utilization of medical innovation, coordinated care, and support networks in obesity management. Among the most important healthcare legislation shaping how care is given is the Healthcare Bill (ACA). The ACA outlines the parts of diabetic therapy that are reimbursed by Medicare (Manchikanti, 2019). Insulin pens, designated as a favored innovation, are not uniformly covered by Medicare and are instead covered solely under Medicare Part D, which implies that many clients would incur higher expenditures for treatment when utilizing the technology. As a result, of healthcare reform, the ACA restricts the use of some obesity control tools.
Aside from the impact of the Affordable Care Act’s rules on obesity management technology, nurse practice guidelines for obesity control can be used to improve innovation use and case management. The American Obesity Association (AOA) has established guidelines for medical services when technologies manage obesity. The guidelines encourage the use of obesity self-monitoring techniques, particularly for individuals with high-dose fat content. Conversely, current regulations permit and encourage the use of injectables instead of vials and injections for glycemic control. As a result, current obesity management standards encourage the consumption and use of diabetic solutions for obesity self-efficacy.
Finally, nurse principles will play a critical role in the management and execution of obese patient care, relying on existing rules and standards. Nurses must respect individuals’ right to self-consciousness by allowing them to refuse the use of technological intervention in their health care. As a result, the nurse will recommend innovative approaches and seek the physician’s agreement before implementing them in the situation. Second, nurses must protect the privacy and security of their patient’s information. Highly sensitive data may be stored in medical systems such as smartphone apps, and the doctor will guarantee that this data is protected and safe. When nursing the obese patient, a high standard of nursing practices will be upheld.
Conclusion
To effectively manage diabetes, medical technology, cooperation, and community agencies are essential. In the instance of the 60-year-old man, Saxenda and obesity apps were suggested. The patient also employed fat cuffs and communication with a networking site assisted self-management. The technologies mentioned are necessary to boost obesity self-management and overall healthcare status. Self-efficacy can also be improved by utilizing community services such as social and community professionals and social networking sites. To improve quality care and improve the patient experience, interprofessional collaboration and technologies in obesity treatment will be critical.
References
Berry, R., Kassavou, A., & Sutton, S. (2021). Do self‐monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta‐analysis. Obesity Reviews, 22(10), 813-900. https://doi.org/10.1111/obr.13306
Cernadas, A., & Fernández, Á. (2021). Healthcare inequities and barriers to access for homeless individuals: a qualitative study in Barcelona (Spain). International journal for equity in health, 20(1), 5-10. https://doi.org/10.1186/s12939-021-01409-2
Falkenhain, K., Locke, S., Lowe, D., Reitsma, N., Lee, T., & Singer, J. et al. (2021). Key app and device versus WW app on weight loss and metabolic risk in adults with overweight or obesity: A randomized trial. Obesity, 29(10), 1606-1614. https://doi.org/10.1002/oby.23242
Kahal, H., Mohammed, K., Lonnen, K., Sathyapalan, T., & Walton, C. (2021). Liraglutide (Saxenda®) for the treatment of obesity: a commentary on NICE Technology Appraisal 664. British Journal Of Diabetes, 21(1), 120-122. https://doi.org/10.15277/bjd.2021.298
Manchikanti, L. (2019). Song using medicare prices, ACA marketplace. Pain Physician, 3(22;3), E237-E237. https://doi.org/10.36076/ppj/2019.22.e237
Zócalo, Y., Curcio, S., García-Espinosa, V., Chiesa, P., Giachetto, G., & Bia, D. (2017). Comparative analysis of arterial parameters associated with inter-individual variations in peripheral and aortic blood pressure: Cross-sectional study in healthy subjects aged 2–84 years. High blood pressure & cardiovascular prevention, 24(4), 437-451. https://doi.org/10.1007/s40292-017-0231-2
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