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Introduction
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 Patients Experience with Health-Care Technology
A survey of technologies utilized by obese patients is explained in this section and a correlation of the research to the writers experience. The use of mobile applications to aid patients in regulating and monitoring their caloric intake is an advanced trend in weight management. 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 clients 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.
Weight loss 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.
When it comes to keeping track of a 60-year-old mans wellness and fulfilling his exercise objectives, the Apple Watch is a beneficial tool. Apple, a relatively new technology, has paid close attention towards how diagrammatical measurements are shown, allowing an obese patient to better grasp what the individual has accomplished. An Apple Watch may be used to track exercises and measure how many calories are burnt each day, as well as to analyze activity patterns (going to compare present activity to previous activity) and far more. The effect of these advanced technologies on the household is that they must spend a lot of money to get smartphones that can run this application. Additionally, because the patient had little understanding of how to use the app, it had a detrimental influence on the patient. Moreover, the phone must be recharged on a regular basis, and new earphones must be purchased, which is pricey, and the application may not operate if there is a power failure.
Step counter is another technology that can help this 60-year-old patient in addition to obesity control apps. The patient who is the focus of this initiative uses this new tech. The patient reported that it was simpler to use since it involved a step program. The recent cloud computing study supports the benefits identified by patients. Step counter program resulted in increased contentment and precision in coping with obese patients and decreased disclosed pain. Since this technology is more straightforward and consumer-friendly, it improves patient adherence to therapy and personality. To avoid excess weight and keep a healthy cardiovascular, the patient should aspire for 10,000 steps each day (Abbasi, 2019). 10,000 steps a day is five miles for an individual with a stride length of 2.5 (Whitcome et al., 2017). Sedentary people who start using a pedometer for reducing weight improve their everyday activities by walking 2,000 steps per day. Every day, this is roughly an additional mile traveled. This corresponds to extra 100 calories expended every day, or a sum of 36,500 calorie expenditure per year, else over 10.5 pounds eliminated (Kahal et al., 2021).
The effect of the pedometer on the client resulted in a lower BMI [mean average differentiation (WMD) 0.15 kg/m2, 95% confidence range (CI) 0.29 to 0.02 kg/m2] and a lower weight (WMD 0.655 kg, 95% CI1.12 to 0.117 kg) (Berry et al., 2021). Dietary counseling seems to be a significant predictor of the improvements seen. On the other hand, this technology has been discovered as being more costly. As a result, the value of this technology may be the primary impediment to its application in obesity identity. Generally, obesity management apps, Apple Watch and step counter are among the most powerful technologies for the 60-year-old patient, and they can help him in managing his weight better.
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 persons 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). For instance, the coordinated care individuals can reduce the cost of buying the Apple Watch to ensure that every obese patient is in a position to access the Watch hence reducing health disparities.
From a patients perspective, a medical professional who helps them in navigating the medical system while providers enhance and simultaneously provide knowledge could be beneficial. This would support the obese patient in getting the knowledge of how to use these technologies thus making them feel comfortable while using them without fear. 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. Connecting with the communal friend help the obesity patients learn different types of coping with the illness since every individual may be fighting the problem in different ways. On the other hand, social relationships are useful in managing obesity by sharing materials and increasing obesity consciousness. As a result, social media platforms can share obesity-related understanding and content, improving identity and compliance and developing positive outcomes. This can assist in creating awareness on how to prevent obesity by having healthy diets and exercising regularly.
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 obesity. 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 obesity 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 obesity therapy that are reimbursed by Medicare (Manchikanti, 2019). As a result, of healthcare reform, the ACA restricts the use of some obesity control tools.
Aside from the impact of the Affordable Care Acts 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 injectable instead of vials and injections for glycemic control. As a result, current obesity management standards encourage the consumption and use of stoutness solutions for obesity self-efficacy.
Finally, nurse principles will perform a precarious 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 physicians agreement before implementing them in the situation. Second, nurses must protect the privacy and security of their patients 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 obesity medical technology, cooperation, and community agencies are essential. In the instance of the 60-year-old man, weight loss apps, Apple watch and the step counter 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
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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.
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.
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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 284 years. High blood pressure & cardiovascular prevention, 24(4), 437-451.
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