NURS FPX 6414 Assessment 2

NURS FPX 6414 Assessment 2

NURS FPX 6414 Assessment 2

Proposal to Administration

T2D self-management, therefore, involves several measures and strategies that can be implemented. Winkley et al. (2020) describe that when defining Self-Management of Type 2 Diabetes activity, role or task falls under the practice, intention, or responsibility of the healthcare professionals, nurses, and others involved in type 2 diabetes management.

Because millions of US citizens have type 2 diabetes, patients need to be capable of supervising their state effectively. This presentation covers different components of diabetes self-management systems in healthcare organizations, such as blood sugar (glucose) testing, dietician-planned diabetic meal plans for patients, and accompanying them in exercise routines (Agarwal et al., 2019). This paper explains the process and rationale for evaluating the results of type 2 diabetes and how it can benefit patient’s solutions.

Why and How to Measure for a Specific Quality Outcome

As indicated in the statistics, over 500 million people in the US have type 2 diabetes; thus, it is critical to assess this particular outcome to enhance patients’ understanding of type 2 DM self-management using diabetes self-management education. For instance, the DSMES program offers patients education and learning as they manage their disorders.

The learning outcomes identified here will increase the community members’ understanding of self-management skills and the extent of desirable self-management behaviors. Similarly, the Chronic Disease Management System (CDMS) program keeps people at lower blood sugar (glucose) levels and minimizes complications a patient is likely to incur.

These interventions are crucial for the quality of life of patients. They may also decrease hospital costs early in the healthcare field et al., 2019). Indeed, outcome measures are essential benchmarks for getting a patient’s baseline.

Benchmarks Associated with that Outcome

These benchmarks are defined by type 2 diabetes state, as specified by the American Diabetes Association. Among most patients in the United States, PAH has an acceptance rate below 7% as a standard (van Smoorenburg et al., 2019).

Furthermore, an additional stronger emphasis is placed on the patient’s weight loss by at least 15%, according to the effectiveness of the drugs and medications (Apovian et al., 2018). Besides, the patient mortality rate is 5%, which is comparatively high, and the reason for such a statistic is low hospital care quality.

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Evaluate Data Measures and Data Trending

However, evaluating this specific service line requires a few data measures and trends. For example, the following data measures are apparent from the evidence available such as: For example, the following data measures are apparent from the evidence available such as:

Early deaths of patients

A reduction of the life span of the patients. Concerning readmission of patients diagnosed with type 2 diabetes in the US, it is approximated that one in four patients is likely to be readmitted.

Their results showed that the lower the population’s education and awareness level, the more likely the disease is. The literature shows that educated people are less likely to be diagnosed (Wu, 2019). The morbidity rate of type 2 diabetes among Hispanic and black Americans is higher than that of other populations.

Interpretation of the Data related to the Benchmarks

Hypothesis testing was not done during indicator development since this research used descriptive statistics to measure the project outcomes, such as the OSA screening rate and the level of staff compliance.

Survey findings of the project revealed that the screening of OSA was higher than the initially projected 5% of adult hospital attendees—3%% to 8. 2% about provider-based education within the first five months of the 2024 year.

NURS FPX 6414 Assessment 2 Proposal to Administration

Furthermore, the analysis also pointed out that the completion of the OSA screening protocol was on the rise, with concluded staff adherence levels of 7. 5% to 14. 3% at post-intervention (P. Johnson, verbal communication, October 10, 2023). It provided evidence of the effectiveness of a provider-based education program when the ratio of staff compliance recovered in the first five months of 2024.

Additionally, 93. The rest of the workers strongly agreed with the education program as information on how to use the STOP-Bang was obtained, and 7% strongly agreed with it (P. Johnson, personal communication, October 10, 2023).

As a result, the outcomes of the doctoral project revealed the effectiveness of the Project through a positive increase in staff compliance and OSA screening rate. The findings of the project shall enrich the healthcare sector database. For instance, the primary outcome includes the rate of OSA screening to focus on the right patient screening strategies.

The stated aims to allow for such screening tools as STOP-Bang, for instance, to be applied by the healthcare staff (Pignatelli et al., 2020). The project’s outcomes are concerned with enhancing SEL and the duration of OSA screen for patients.

Also, staff education concerning the OSA screening procedure has helped raise healthcare standards and service quality. It enhances staff compliance in screening OSA and proves the concept of provider-based education. The outcomes of the doctoral project enhance best practices as they focus on identifying the right screening tool that can benefit the healthcare delivery process.

Furthermore, several measures are present for type 2 diabetics, including the value of blood sugar levels equal to less than 140 mg/DL. Here is a case: if the level is above this value, it is considered abnormal or above average.

Additionally, the rate between 140 and 200 relative to the value of 200 mg/dL remains an indication that more people will be affected by diabetes. This increases the relevance and effectiveness of the diabetes type 2 self-management programs and decreases the readmission frequency.

NURS FPX 6414 Assessment 2

Data Spreadsheet

The World Health Organization states that diabetes mellitus is one of the most significant worldwide problems for healthcare providers. The adult population with this disease rose globally from 4 in the 1980s to 8 in 2015. 7 to 8. Five percent, according to the study by Agarwal et al., 2019.

The statistical data on type 2 diabetes outlined in the datasheet should include the following numbers and facts, which the American Diabetes Association ADA approves. Diabetes has been ranked as the seventh most fatal disease in the USA since 2019, with approximately 87,647 diabetes mentions on death certificates (Adam, 2018).

The following Datasheet indicates facts about various race groups of Americans getting more and less affected by diabetes based on their education and race, and problems and preferences.

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Conclusion

The above data analysis of self-management of type 2 diabetes confirms education level as a profound aspect of the disease in the USA.

Treatment self-management is essential for nurses and patients to decrease the incidence of a higher rate of diabetes. According to the data evidence collected, many countries, including the US, have a relatively high rate of increase in the diagnosis of diabetes due to low patient education and racial factors.

If you need complete information about class 6414, click below to view a related sample:
NURS FPX 6414 Assessment 1

References

Adam, L., O’Connor, C., & Garcia, A. C. (2018). Evaluating the impact of diabetes self-management education methods on knowledge, Attitudes, and Behaviours of Adult Patients With Type 2 Diabetes Mellitus. Canadian journal of diabetes42(5), 470–477.e2.

https://doi.org/10.1016/j.jcjd.2017.11.003

Agarwal, P., Mukerji, G., Desveaux, L., Ivers, N. M., Bhattacharyya, O., Hensel, J. M., Shaw, J., Bouck, Z., Jamieson, T., Onabajo, N., Cooper, M., Marani, H., Jeffs, L., & Bhatia, R. S. (2019). Mobile app for improved self-management of type 2 diabetes: Multicenter pragmatic randomized controlled trial. JMIR mHealth and uHealth7(1), e10321.

https://doi.org/10.2196/10321

Apovian, C. M., Okemah, J., & O’Neil, P. M. (2018). Body weight considerations in the management of type 2 diabetes. Advances in Therapy, 36(1), 44–58.

https://doi.org/10.1007/s12325-018-0824-8

van Smoorenburg, A. N., Hertroijs, D. F. L., Dekkers, T., Elissen, A. M. J., & Melles, M. (2019). Patient’s perspective on self-management: type 2 diabetes in daily life. BMC health services research19(1), 605.

https://doi.org/10.1186/s12913-019-4384-7

Winkley, K., Upsher, R., Stahl, D., Pollard, D., Kasera, A., Brennan, A., Heller, S., & Ismail, K. (2020). Psychological interventions to improve self-management of type 1 and type 2 diabetes: a systematic review. Health technology assessment (Winchester, England)24(28), 1–232.

https://doi.org/10.3310/hta24280

Wu, F. L., Tai, H. C., & Sun, J. C. (2019). Self-management experience of middle-aged and older adults with Type 2 Diabetes: A qualitative study. Asian nursing research13(3), 209–215.

https://doi.org/10.1016/j.anr.2019.06.002

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