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NURS FPX 6004 Assessment 1 Dashboard Metrics Evaluation

NURS FPX 6004 Assessment 1 Dashboard Metrics Evaluation

A dashboard is a powerful tool that can be used to enhance healthcare management in hospitals. It allows hospital administrators to monitor and track critical performance indicators related to patient care, financial management, and staffing. By analyzing real-time data, hospital managers can identify inefficiencies in patient care, resource allocation, communication, and collaboration among medical staff. A productive dashboard also enables managers to identify areas to make data-driven decisions for better patient outcomes and ensure the long-term sustainability of the hospital (Pestana et al., 2020).

Evaluation of Metrics Associated with Benchmarks

This evaluation is centered on patients with diabetes who received HgbA1c, foot, and eye tests at Mercy Medical Center in Shakopee during 2019 and 2020. Various ethnic groups visit Mercy Medical Center, including the Asian population, Black Americans, White ethnic groups, and Hispanic Latino ethnic groups. The dashboard displays details regarding the patient population distributed into categories such as age, gender, and race. Shakopee City has a total population of 36,192, of which 18,235 are female, and 17,957 are male. The age-wise distribution of the population is as follows: 12,126 are below 20 years of age, 14,732 are aged between 21 and 44, 6,099 are aged between 45 and 64, and 2,371 are above 65. These figures provide valuable information for improving diabetes care by enabling healthcare providers to understand the demographics of the patient population.

Around 30 million Americans, 9.4% of the population, had diabetes in 2015 (Smalls et al., 2020). The majority of them had type-2 diabetes. By 2050, around 48 million Americans are expected to have type 2 diabetes; most people diagnosed will be 65 or older (Smalls et al., 2020).

According to Williams et al. (2020), in 2019, the estimated amount spent on diabetes-related healthcare globally was USD 760 billion. It is expected to rise to USD 825 billion by 2030. The expenses incurred for diabetes vary greatly in different parts of the world. The United States tops the list with an estimated expenditure of USD 294.6 billion. People aged between 60 to 79 years have the highest annual diabetes-related healthcare expenses, ranging from USD 171.5 billion to USD 177.7 billion. Women have slightly higher expenses than men, such as 382.6 and 377.6 USD billion in diabetes expenses.

National Benchmark and Mercy Medical Center Benchmark Evaluation

According to CDC (2022), the National Diabetes Statistics Report (NDSR) contains important information and data on diabetes in the United States. This report helps to understand the impact of diabetes on the population in terms of the number of people affected by their demographics and their treatment status. The latest report, published in 2021, reveals that 37.3 million people in the US have diabetes, equivalent to 11.3% of the total population. Out of this, 28.7 million people have received treatment for diabetes, including 28.5 million adults, while 8.5 million remain untreated. The dashboard evaluation at Mercy Medical Center showed that the HgbA1c test level was not meeting the national benchmark level. In 2019, only 37% of tests conducted were within the target range, but in 2020, the percentage increased to 48% of tests. In contrast, the National Healthcare Quality and Disparities Report (NHQDR) has set a national benchmark of 79.5% of diabetic patients receiving Hgb1Ac tests to ensure high-quality healthcare (AHRQ, 2022).

The data from Mercy Medical Center suggests that the number of foot and eye exams conducted in 2019 and 2020 has slightly increased. In 2019, 230-foot and 200 eye exams were conducted, representing 41% and 35.5% of the total. In 2020, 235-foot and 232-eye exams were conducted, representing 41.7% and 41% of the total. However, the NHQDR benchmark for foot exams is higher, with 84% of patients undergoing the examination. The NHQDR has also established a benchmark of 75% of patients undergoing an eye exam (AHRQ, 2022).  

Organizational Performance Shortfalls

While the Mercy Medical Center’s dashboard provides data on diabetic patients who underwent foot exams, HgbA1c tests, and eye exams in 2019 and 2020, one area of shortfall of the healthcare center is that the dashboard lack of information about the ethnic diversity of healthcare professionals (Glazer et al., 2018). Furthermore, the dashboard does not reveal the number of patients from various ethnic backgrounds, such as Black Americans, White ethnic groups, Asian ethnic population, and Hispanic Latinos, who received testing for foot, eye, or Hgb1Ac. Although the representation of underrepresented racial and ethnic populations is still inadequate, this problem is particularly concerning for African American/black and Hispanic/Latino minority groups, who account for 30.9% of the U.S. population but are underrepresented in the health professions (Glazer et al., 2018).

Consequences of Not Meeting the Prescribed Benchmark

The benchmark from the dashboard of mercy medical center that lacks a diverse workforce was evaluated. Diversity in healthcare professionals is critical to achieving healthcare goals and providing quality care to patients from diverse ethnic backgrounds. The healthcare needs of patients are influenced by various factors such as cultural beliefs, language barriers, and socioeconomic barriers (Wilbur et al., 2020). A diverse workforce can help healthcare organizations understand and address these unique needs effectively. Healthcare professionals from diverse backgrounds can communicate more effectively with patients and provide culturally sensitive care. By increasing diversity in the healthcare workforce, healthcare organizations can ensure that they are providing equitable care to all patients. Without the provision of standard care, patients can lose trust and loss organizational reputation (Stanford, 2020).

Another core consequence of prescribed benchmarks can lead to high readmission rates in healthcare centers such as the Mercy Medical Center. In particular, high readmission rates for diabetes-related complications can significantly burden patients and healthcare organizations. Patients with diabetes require ongoing management and care if they are readmitted frequently. It can result in increased healthcare costs, which can be a financial burden on patients and their families (Sharma et al., 2019). Moreover, high readmission rates can also affect the hospital’s finances by reducing reimbursements from insurance companies and government payers. In addition to the financial burden, high readmission rates can negatively impact patient outcomes and quality of life. It can lead to additional medical complications, extended hospital stays, and decreased patient satisfaction (Yu et al., 2022).

Implications of Consequences

A diverse healthcare workforce can positively affect healthcare organizations and patients. One of the most significant benefits of a diverse healthcare workforce is improved communication and cultural competency. Healthcare professionals from diverse backgrounds can effectively communicate with patients from different ethnicities and provide culturally sensitive care. Additionally, a diverse healthcare workforce can enhance patient trust and satisfaction as patients are more likely to trust and feel comfortable with healthcare providers with similar backgrounds and experiences (Rotenstein et al., 2021). 

Underlying Assumption

An underlying assumption is that healthcare providers from different ethnic backgrounds may be more effective in providing care. It is assumed that diverse staff can provide culturally responsive and tailored care to the patient’s needs. Another underlying assumption is that a diverse healthcare workforce can lead to better patient outcomes and a more equitable healthcare system. Eventually, this can reduce the high readmission rates at Mercy Medical Center. 

Evaluation of Benchmark Underperformance

In mercy medical center, the test level of HgbA1C is the underperformance shown by the dashboard benchmark. The HgbA1c test is critical in managing diabetes, as it helps healthcare professionals evaluate blood glucose levels over an extended period. This diagnostic tool is beneficial in detecting diabetes, identifying prediabetes, and monitoring the efficacy of diabetes treatment. By maintaining HgbA1c levels within a specific range, individuals with diabetes can reduce the risk of complications, such as kidney damage, blindness, or nerve damage. Additionally, regular monitoring of HgbA1c levels can aid in effectively managing diabetes and preventing diabetes (Siricharoenthai & Phupong, 2019)

Based on evaluating the dashboard at Mercy Medical Center, it was found that the HgbA1c test results did not meet the national benchmark level. In 2019, out of the 210 tests conducted, only 37% were within the desired range. Nevertheless, in 2020, the percentage increased to 48% out of 272 tests. In contrast, the NHQDR has set a benchmark of 79.5% for diabetic patients to receive HgbA1c tests (AHRQ, 2022). Hgb1Ac tests are an important and basic step for the detection of symptoms of diabetes in patients. The HgbA1c test is a critical benchmark in diabetes management and can help individuals with diabetes manage their health conditions (Kaiafa et al., 2020).

Impact of Improved Benchmark on Quality Performance

The chosen benchmark greatly impacts Mercy Medical Center’s performance in promoting care and quality. National benchmarks, such as those established by the NHQDR, can help healthcare providers identify areas where they need to improve their services. Healthcare organizations achieving the benchmark levels demonstrate their commitment to providing high-quality care. It also shows that they constantly evaluate and improve their processes to achieve better outcomes (Tapager et al., 2022). Additionally, meeting benchmark levels can increase patient satisfaction and trust in healthcare providers. It is vital in ensuring high-quality healthcare services and improving patient outcomes.

Moreover, including a diverse workforce in Mercy Medical Center can promote high-quality patient care. Medical staff from different ethnic backgrounds can increase culturally sensitive care and reduce ethnic barriers. Eventually, this can lead to patient health outcomes and quality care (Noone et al., 2020). 

Ethical Actions for Improvement of Benchmark

Treating patients with diabetes should always focus on patient-centered care and respecting their dignity. Healthcare professionals must understand the sensitivity of the condition and the potential psychological and physical impacts that come with it. Patients must feel empowered and informed, with open lines of communication with their healthcare providers (Asmaningrum & Tsai, 2018). This means taking a person-centered approach that respects their individual needs and preferences. Additionally, healthcare professionals should strive to create an inclusive environment sensitive to cultural differences and recognize that everyone is unique. By providing compassionate care and fostering dignity, healthcare professionals can improve the quality of care and patient outcomes for diabetic patients (Asmaningrum & Tsai, 2018).

The American Nurses Association (ANA) code of ethics provides guidelines for healthcare providers to ensure ethical and equitable healthcare delivery. Following these guidelines can help improve HgbA1c benchmark performance at Mercy Medical Center (Tluczek et al., 2018). The ANA code of ethics prioritizes ethical principles such as;

Respect for Autonomy: Nurses should provide accurate information regarding HgbA1c screening to help patients make informed decisions. Staff should not manipulate patients into making certain choices.

Beneficence: This code states that nurses must promote the well-being of their diabetic patients and act in their best interests (Tluczek et al., 2018).

Justice: This code emphasizes the importance of treating diabetic patients fairly, regardless of their race, ethnicity, gender, socioeconomic status, or other factors.

Non-maleficence: This code states that nurses must avoid harm to their patients and should take steps to prevent harm when possible (Tluczek et al., 2018).

This means healthcare providers must treat all patients fairly and equally and respect their rights and preferences. By following these ethical principles, healthcare providers can help ensure patients receive the appropriate diabetes tests and screenings. Further, they receive the care they need to manage their condition effectively. This can ultimately lead to better HgbA1c benchmark performance and improved overall quality of care for patients (Haddad & Geiger, 2022).

Recommended Actions

  • It is recommended that individuals with diabetes have their HgbA1c levels tested every three months for optimal blood sugar control.
  • Frequent and regular HgbA1c testing help identify potential issues for timely interventions to prevent long-term complications (Arnardóttir et al., 2023).
  • It is also recommended that healthcare organizations aim for workforce diversity to reduce healthcare disparities and that diverse nursing staff can best handle diverse patients.
  • A diverse workforce in healthcare can lead to innovative problem-solving and decision-making that can result in patient outcomes (Raffoul et al., 2019).

Conclusion NURS FPX 6004 Assessment 1: Dashboard Metrics Evaluation

Globally healthcare organizations have adopted healthcare dashboards as a critical tool to manage complex data and enhance patient outcomes. However, communication barriers and cultural differences can impact diabetes care and benchmark performance negatively. To address this issue, healthcare organizations should prioritize inclusivity and diversity in their workforce to improve communication and understanding between healthcare providers and diabetic patients. By adhering to ethical guidelines and regularly monitoring HgbA1c levels, healthcare providers can ensure that diabetic patients receive optimal care. This can lead to minimizing complications and improving their quality of life.

References

AHRQ. (2022). NHQDR data tools. Datatools.ahrq.gov. https://datatools.ahrq.gov/nhqdr 

Arnardóttir, E., Sigurðardóttir, Á. K., Graue, M., Kolltveit, B.-C. H., & Skinner, T. (2023). Using HgbA1c measurements and the finished diabetes risk score to identify undiagnosed individuals and those at risk of diabetes in primary care. BMC Public Health23(1). https://doi.org/10.1186/s12889-023-15122-y 

Asmaningrum, N., & Tsai, Y.-F. (2018). Nurse perspectives of maintaining patient dignity in Indonesian clinical care settings: A multicenter qualitative study. Journal of Nursing Scholarship50(5), 482–491. https://doi.org/10.1111/jnu.12410

CDC. (2022, June 29). National Diabetes Statistics Report. Cdc.gov. https://www.cdc.gov/diabetes/data/statistics-report/index.html 

Glazer, G., Tobias, B., & Mentzel, T. (2018). Increasing healthcare workforce diversity: Urban universities as catalysts for change. Journal of Professional Nursing, 34(4), 239–244. https://doi.org/10.1016/j.profnurs.2017.11.009 

Haddad, L. M., & Geiger, R. A. (2022, August 22). Nursing ethical considerations. Nih.gov. https://www.ncbi.nlm.nih.gov/books/NBK526054/ 

Kaiafa, G., Veneti, S., Polychronopoulos, G., Pilalas, D., Daios, S., Kanellos, I., Didangelos, T., Pagoni, S., & Savopoulos, C. (2020). Is HbA1c an ideal biomarker of well-controlled diabetes? Postgraduate Medical Journal97(1148). https://doi.org/10.1136/postgradmedj-2020-138756 

Noone, J., Najjar, R., Quintana, A. D., Koithan, M. S., & Vaughn, S. (2020). Nursing workforce diversity: Promising educational practices. Journal of Professional Nursing36(5). https://doi.org/10.1016/j.profnurs.2020.02.011 

Pestana, M., Pereira, R., & Moro, S. (2020). Improving health care management in hospitals through a productivity dashboard. Journal of Medical Systems44(4). https://doi.org/10.1007/s10916-020-01546-1 

Raffoul, M., Bartlett, E G., & Phillips, R. L. (2019). Recruiting and training a health professional workforce to meet the needs of tomorrow’s health care system. Academic Medicine94(5), 651–655. https://doi.org/10.1097/acm.0000000000002606 

Rotenstein, L. S., Reede, J. Y., & Jena, A. B. (2021). Addressing workforce diversity: A quality-improvement framework. New England Journal of Medicine384(12), 1083–1086. https://doi.org/10.1056/nejmp2032224 

Sharma, A., Agrawal, P., Madaan, V., & Goyal, S. (2019). Prediction on diabetes patient’s hospital readmission rates. Proceedings of the Third International Conference on Advanced Informatics for Computing Research, 19https://doi.org/10.1145/3339311.3339349 

Siricharoenthai, P., & Phupong, V. (2019). Diagnostic accuracy of HbA1c in detecting gestational diabetes mellitus. The Journal of Maternal-Fetal & Neonatal Medicine: The Official Journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 1–4. https://doi.org/10.1080/14767058.2019.1576169 

Smalls, B. L., Ritchwood, T. D., Bishu, K. G., & Egede, L. E. (2020). Racial/Ethnic differences in glycemic control in older adults with type 2 diabetes: United States 2003–2014. International Journal of Environmental Research and Public Health17(3), 950. https://doi.org/10.3390/ijerph17030950 

Stanford, F. C. (2020). The importance of diversity and inclusion in the healthcare workforce. Journal of the National Medical Association112(3), 247–249. https://doi.org/10.1016/j.jnma.2020.03.014 

Tapager, I., Olsen, K. R., & Vrangbæk, K. (2022). Exploring equity in accessing diabetes management treatment: A healthcare gap analysis. Social Science & Medicine292, 114550. https://doi.org/10.1016/j.socscimed.2021.114550 

Tluczek, A., Twal, M. E., Beamer, L. C., Burton, C. W., Darmofal, L., Kracun, M., Zanni, K. L., & Turner, M. (2018). How the American Nurses Association Code of Ethics informs genetic/genomic nursing. Nursing Ethics26(5), 1505–1517. https://doi.org/10.1177/0969733018767248 

Wilbur, K., Snyder, C., Essary, A. C., Reddy, S., & Will, K. K. (2020). Developing workforce diversity in the health professions: A social justice perspective. Health Professions Education6(2). https://doi.org/10.1016/j.hpe.2020.01.002 

Williams, R., Karuranga, S., Malanda, B., Saeedi, P., Basit, A., Besançon, S., Bommer, C., Esteghamati, A., Ogurtsova, K., Zhang, P., & Collagiuri, S. (2020). Global and regional estimates and projections of diabetes-related health expenditure: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Research and Clinical Practice162https://doi.org/10.1016/j.diabres.2020.108072 

Yu, H., Ching Chi Yang, & Yu, P. (2022). Constrained optimization for stratified treatment rules in reducing hospital readmission rates of diabetic patients. European Journal of Operational Researchhttps://doi.org/10.1016/j.ejor.2022.12.020 

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