NURS FPX 6004 Assessment 1 Dashboard Benchmark Evaluation Underperformance of Benchmark Assessing the dashboard metrics based on quarterly MCC and comparing it with the national benchmarks for diabetes outlined by

NURS FPX 6004 Assessment 1 Dashboard Benchmark Evaluation Underperformance of Benchmark Assessing the dashboard metrics based on quarterly MCC and comparing it with the national benchmarks for diabetes outlined by


AHQR showed some underperforming areas. The decline in the performance of HgbA1c tests is evident in comparing 2018 to 2019 ..
Non-compliance to this benchmark can cause a higher number of diabetes cases to remain undiagnosed. As in the initial stages,
diabetes does not show any symptoms that can signal the development of T2D. But on checking the levels of A1c, a diagnosis of pre-
diabetes can be made (Lam & Lee, 2021). The challenge of compliance with A1c testing can be seen regarding the diversity of the
nurses on board. In case of non-compliance, a higher number of late diagnoses of diabetes will occur in the hospital increased the
number of hospital stays and readmission not only causing work strain on healthcare providers but the strain of financial costs on
patients as well. It will also impact the ranking of the MMC in Minnesota. According to AHRQ reports, the occurrence of diabetes is
high along with cardiovascular and renal issues. As the most common comorbidities linked to diabetes are heart problems and kidney
failures (AHQR, 2020). According to CDC, Adult diabetes patients had hypertension in sixty-nine percent of cases and excessive
cholesterol in forty-four percent of cases. Thirty-nine percent had severe kidney illness, and twelve percent had impaired vision or loss

of sight. To overcome the health disparities and health inequity, Affordable Care Act (ACA), also provide healthcare coverage to people
irrespective of their race, ethnicity, and sex as long as they follow the requirements of receiving Medicaid or Medicare. They provide
health insurance for people who do not have one as the medical tests would cause a financial burden on people. using Medicare,
people can get their HgbA1c tests to check for signs of pre-diabetes. A diabetes scan remains undiagnosed for a very long because it
does not show any early signs. This policy will help in conducting tests for people and diagnosing diabetes among people in its early
stages before leading to complications. As it will not only help patients with their healthcare costs but will also lead to better self-
management along with less burden on the healthcare sector (Present et al., 2019).

To increase the frequency of HgbA1c tests in MCC, partnering with the stakeholders can also be fruitful. Effective communication and
knowledge regarding the problem will help in overcoming socioeconomic problems. Interprofessional collaboration in the healthcare
facility can aid in A1c compliance. It will also help in identifying the reasons for the underperformance of a healthcare facility that can
be managed and effectively solved through interprofessional collaboration. Policies imposed by local and federal administrations will
also help with following the benchmarks along with overcoming the financial problem or lack of resources. Political measures can be
concentrated on all levels with collaborative policy creation in a range of techniques, all of which will include a mechanism for
formulating and compliance with applicable laws, or procedures, as well as task allocation for their implementation (Bong, 2019).

The strategy to follow compliance will need the cooperation of stakeholders, hiring nurses from minority groups, implementation of
local and national policies, and involving interprofessional collaboration in the healthcare facility. This can help in overcoming
underperformance and detecting pre-diabetes among patients before the condition leads to complications. Early detection will help in
managing diabetes effectively, nurses must also communicate with the patient to increase their knowledge and awareness regarding
diabetes. It will help in limiting the healthcare costs for the patient along with minimizing the prevalence of diabetes in Minnesota.

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