NURS FPX 6218 Assessment 1 Proposing Evidence-Based Change
NURS FPX 6218 Assessment 1 Proposing Evidence-Based Change
Name
Capella university
NURS-FPX 6218 Leading the Future of Health Care
Prof. Name
Date
Change Proposal Summary Report
This change proposal aims to integrate technology-assisted services into the management of chronic diseases, specifically diabetes mellitus, within the rural healthcare system of West Texas. The focus is on improving diabetes care by highlighting key strategies and initiatives that promote the adoption of technology-enabled interventions. The paper will explore the benefits of technology, as well as insights from successful healthcare systems outside the United States. Furthermore, the financial and health implications of these changes will be discussed, along with strategies for delivering optimal diabetes care.
Executive Summary
Proposed Change
In rural Texas healthcare settings, the absence of technological interventions in diabetes management leads to a traditional care model, which is often hindered by delays in scheduling appointments, limited access to advanced diagnostics and treatments, and challenges in patient education and follow-up care (Sun et al., 2021). The integration of technology-assisted care is crucial to meeting modern healthcare expectations. Proposed improvements include the use of electronic health records (EHRs) that would enable healthcare providers to monitor patients’ health through interoperable systems.
Real-time data exchange between patients, healthcare providers, and care teams would allow for informed clinical decision-making and personalized treatment plans (Mumtaz et al., 2023). Additionally, the integration of technology and data analytics is expected to improve clinical outcomes. Another key recommendation is the implementation of Mobile Health (mHealth) interventions, which allow for the remote monitoring of blood glucose levels, provide educational resources, and facilitate communication between patients and healthcare providers. These tools will help patients adhere to medication regimens, receive feedback, and overcome geographical barriers to healthcare access, ultimately enhancing diabetes management (Gerber et al., 2023).
Desired Outcomes
This proposal seeks to integrate technology-assisted diabetes care in rural areas, with the expected outcomes of improved health outcomes, increased patient engagement, reduced healthcare costs, and enhanced efficiency.
- Enhanced Health Outcomes: With the use of technology, patients will have better control over their diabetes, timely care, and improved glycemic control (Gerber et al., 2023). However, barriers such as limited infrastructure and digital literacy may impact success.
- Augmented Patient Engagement: Technology will enable patients to become more involved in their care, improving treatment adherence, self-management, and satisfaction with their healthcare experience (Gerber et al., 2023). Barriers include resistance to technology adoption, varying levels of patient motivation, and limited access to smartphones or the internet.
- Lowered Healthcare Costs: Effective diabetes management can reduce complications and associated costs, such as hospitalizations and long-term care (Haque et al., 2021). However, financial limitations and lack of insurance coverage could hinder cost savings.
- Improved Efficiency and Productivity: The integration of technology will allow healthcare teams to allocate resources more effectively, increasing efficiency and productivity (Khalifa & Albadawy, 2024). Challenges may include the initial cost of technology and training healthcare providers.
Healthcare organizations can fund diabetes care interventions through health insurance providers, including Medicare and Medicaid, as well as government funding and grants. Investments from healthcare organizations themselves could also support these initiatives to improve patient outcomes and reduce long-term costs.
Health Care System Comparative Analysis
An analysis of the healthcare systems in Sweden and the UK offers valuable insights into improving diabetes care in West Texas. Both countries have implemented successful digital health initiatives that improve diabetes management. In Sweden, for instance, the government has integrated digital health tools, such as EHRs, to promote preventative care and improve patient health outcomes. Telemedicine is also used for remote consultations, and there is strong collaboration between healthcare leadership and technology partners (International Trade Association, 2023). Similarly, the UK’s digital health initiatives, like the Healthier You: NHS Digital Diabetes Programme, have helped streamline data collection and improve the timeliness of care, which contrasts with the slower pace of care seen in rural West Texas (Barron et al., 2022).
Rationale for the Proposed Change
The use of technology in managing diabetes is supported by its ability to enhance patient outcomes, increase patient involvement, optimize resource use, and ensure equitable access to care. Gerber et al. (2023) suggest that technology empowers both patients and healthcare providers, resulting in more effective diabetes management and better quality of life for patients. The integration of EHRs and mHealth applications has been proven to improve data collection, patient engagement, real-time monitoring, and timely intervention (Gerber et al., 2023; Mumtaz et al., 2023). This will allow for continuous assessment and improvement in care delivery, ultimately enhancing the quality, safety, and effectiveness of diabetes care.
Financial and Health Implications
While implementing technology solutions requires significant initial investment in infrastructure, equipment, and software development (Wai et al., 2023), the long-term benefits include improved efficiency, cost savings, and better health outcomes. Training healthcare providers on the use of these technologies will incur additional costs. However, failure to implement these changes may result in higher healthcare costs due to complications arising from poor diabetes management (Haque et al., 2021). The health benefits of these changes are substantial, as they can enhance healthcare access, improve glycemic control, and reduce the risk of complications (Barron et al., 2022).
Table 1: Health Care System Comparative Analysis
| Outcomes | Sweden Healthcare System | UK Healthcare System | Rural Healthcare System in West Texas |
|---|---|---|---|
| Health Outcomes | Implementing digital health initiatives has improved healthcare quality and patient well-being through EHRs and preventive care (International Trade Association, 2023). | The UK’s digital health initiatives have led to timely care and the prevention of complications through early identification (Barron et al., 2022). | Conventional care results in poor glycemic control, delays in appointments, and lack of advanced diagnostics. |
| Patient Engagement | Technology has empowered patients by providing convenient care, remote consultations, and personalized education, resulting in increased engagement and better outcomes. | Digital health tools have improved communication and personalized care, leading to higher patient involvement in diabetes management. | Limited access to technology results in reduced patient engagement and participation in care decisions. |
| Cost Effectiveness | The use of EHRs and telemedicine in Sweden promotes cost-effectiveness by reducing administrative costs and preventing complications. | The UK has achieved cost-effectiveness through digital health initiatives that streamline data collection and analysis, leading to timely interventions. | Suboptimal diabetes management leads to increased costs due to complications and hospitalizations (Haque et al., 2021). |
| Efficiency and Productivity | Extensive use of EHRs and telemedicine improves resource allocation, care delivery efficiency, and optimal use of healthcare resources. | Standardized EHRs and digital platforms streamline workflows, improving decision-making and diabetes care efficiency. | A lack of technology integration in rural Texas results in inefficiencies and fragmented care delivery. |
References
Barron, E., Bradley, D., Safazadeh, S., McGough, B., Bakhai, C., Young, B., Khunti, K., Murray, E., Wareham, N., Jebb, S., & Valabhji, J. (2022). Effectiveness of digital and remote provision of the Healthier You: NHS Diabetes Prevention Programme during the COVID-19 pandemic. Diabetic Medicine, 40(5). https://doi.org/10.1111/dme.15028
Gerber, B. S., Biggers, A., Tilton, J. J., Smith, D. E., Lane, R., Mihăilescu, D., Lee, J.-A., & Sharp, L. K. (2023). Mobile health intervention in patients with type 2 diabetes. JAMA Network Open, 6(9), e2333629–e2333629. https://doi.org/10.1001/jamanetworkopen.2023.33629
Haque, W. Z., Demidowich, A. P., Sidhaye, A., Golden, S. H., & Zilbermint, M. (2021). The financial impact of an inpatient diabetes management service. Current Diabetes Reports, 21(2). https://doi.org/10.1007/s11892-020-01374-0
International Trade Association. (2023, December 18). Sweden—eHealth. https://www.trade.gov/country-commercial-guides/sweden-ehealth
NURS FPX 6218 Assessment 1 Proposing Evidence-Based Change
Khalifa, M., & Albadawy, M. (2024). Artificial intelligence for diabetes: Enhancing prevention, diagnosis, and effective management. Computer Methods and Programs in Biomedicine Update, 5(100141), 1–14. https://doi.org/10.1016/j.cmpbup.2024.100141
Mumtaz, H., Riaz, M. H., Wajid, H., Saqib, M., Zeeshan, M. H., Khan, S. E., Chauhan, Y. R., Sohail, H., & Vohra, L. I. (2023). Current challenges and potential solutions to the use of digital health technologies in evidence generation: A narrative review. Frontiers in Digital Health, 5, 1203945. https://doi.org/10.3389/fdgth.2023.1203945
Sun, C.-A., Taylor, K., Levin, S., Renda, S. M., & Han, H.-R. (2021). Factors associated with missed appointments by adults with type 2 diabetes mellitus: A systematic review. BMJ Open Diabetes Research and Care, 9(1), e001819. https://doi.org/10.1136/bmjdrc-2020-001819
NURS FPX 6218 Assessment 1 Proposing Evidence-Based Change
Wai, A., Torkamani, A., Butte, A. J., Glicksberg, B. S., Schuller, B. W., Rodríguez, B., Shu, D., Bates, D. W., Schaden, E., Peng, H., Harald Willschke, van, Car, J., Rahimi, K., Leo Anthony Celi, Banach, M., Kletečka-Pulker, M., Kimberger, O., Eils, R., & Shariful, M. (2023). The promise of digital healthcare technologies. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1196596