NURS FPX 6011 Assessment 1 Evidence-Based Patient-Centered Needs Assessment

Name

Capella university

NURS-FPX 6011 Evidence-Based Practice for Patient-Centered Care and Population Health

Prof. Name

Date

Evidence-Based Patient-Centered Needs Assessment

Diabetes is a chronic condition requiring continuous oversight and proactive management to prevent complications and enhance well-being. In West Virginia, the prevalence of diabetes necessitates robust patient engagement strategies due to contributing factors such as obesity rates, disparities in healthcare access, and socioeconomic challenges (Robson & Hosseinzadeh, 2021). This evaluation focuses on individuals aged 41 to 65 with Type 2 diabetes, as they face increased health risks when the condition is not properly controlled. Integrating healthcare technology, including mobile health (mHealth) apps and telehealth services, empowers patients by strengthening health literacy and promoting glycemic regulation.

Importance of Addressing Patient Engagement

Patient engagement is crucial in diabetes management, empowering individuals to take an active role in their healthcare. This involvement leads to improved health outcomes and a lower risk of complications. Studies indicate that patients actively engaged in their treatment demonstrate higher adherence to prescribed medications, better glucose regulation, and fewer hospitalizations (Cengiz & Korkmaz, 2023).

Providing diabetes education alongside self-management support equips individuals with essential knowledge and skills for effective disease control. In underserved communities, access to affordable medications and continuous glucose monitoring devices is critical, as these factors significantly influence their ability to manage diabetes. Research highlights that multilingual diabetes education programs and community-based support networks enhance participation and health literacy among diverse populations (Nigussie et al., 2024).

Mobile health (mHealth) technologies for blood glucose monitoring and virtual consultations via personalized coaching programs promote patient engagement through continuous support and remote monitoring. Sharma et al. (2024) suggest that telehealth technologies enhance diabetes self-management through improved access, real-time tracking, and personalized care. Notwithstanding, technological literacy and data privacy issues persist. Integrating various approaches allows healthcare experts to develop equitable and effective individualized diabetes care plans.

Use and Impact of Information and Communication Technology

Adults aged 41 to 65 with diabetes benefit from information and communication technology (ICT) tools that improve their understanding and management of the condition. Mobile health (mHealth) apps like MySugr and Dexcom G6 provide real-time glucose monitoring, automatic medication reminders, and personalized feedback. Telemedicine gives patients remote access to expert opinion, reducing the necessity of frequent visits. Wearable technologies, including glucose biosensors, provide instant blood sugar readings, enabling proactive self-management. Digital innovation and medical technology support medication adherence, improve lifestyle, and enhance diabetes control (Sharma et al., 2024).

Several unresolved factors remain regarding the effectiveness of ICT tools in diabetes management. Digital literacy is crucial for making decisions on user adoption and the effective rollout of such technologies, particularly among older adults and individuals with limited technical skills. Access limitations like restricted internet access and the cost of digital devices restrict some groups from leveraging these resources to manage diabetes (Ebekozien et al., 2024). To promote greater adoption of health digital solutions, healthcare providers must employ robust methods of safeguarding patient information to make access easier. Targeted intervention programs and additional research must be implemented to promote patient-centered diabetes care.

Value and Relevance of Technology Modalities

Digital health solutions are vital in addressing the medical needs of adults aged 40 to 65 managing diabetes. Mobile health applications like MySugr and Dexcom G6 offer customized healthcare care, including personalized medical guidance, reminders for medication, and comprehensive diagnostics data monitoring. The apps adhere to ethical principles and cultural sensitivities by implementing multilingual interfaces and offering Health Insurance Portability and Accountability Act (HIPPA) compliant data protection (Rezaee et al., 2023). Telemedicine can provide remote consultation and improve healthcare access among unserved populations by securing a confidentiality channel among care providers and clients. Wearable glucose-tracking devices utilize advanced encryption protocols for real-time diabetes monitoring by enhancing patient engagement and data security (Aissa, 2024).

Technology enables patients to communicate openly with healthcare providers by offering personalized resources and monitoring tools to track their treatment progress. Integrating Electronic Health Records (EHRs) and interoperable systems enhances patient care by easily sharing information across medical facilities, reducing redundancies and allowing coordinated treatment plans (Espinoza et al., 2022). To ensure ease of disease management for patients with varying literacy levels and abilities, these digital tools should include easy-to-understand language, visual supports, and accessibility options such as speech-to-text capability and screen-reading.

Innovative Strategies for Leveraging Technology

Effective diabetes management for adults aged 40 to 60 necessitates forward-thinking strategies incorporating culturally attuned and linguistically adaptable digital solutions. Providing multilingual interfaces, encouraging cultural competency, and encouraging digital inclusiveness enhance patient participation, health literacy, and equitable care. Virtual assistants powered by artificial intelligence, such as Artificial Intelligence Diabetes Assistant (AIDA) Diabetes Companion, offer continuous, language-free assistance to diverse groups, enabling self-management (Alloatti et al., 2021).

Telemedicine systems that include certified medical interpreters offer live language assistance to ensure that a non-English-speaking community receives accurate information and makes informed health decisions (Hart et al., 2022). Additionally, culturally adapted mobile health (mHealth) applications like One Drop and Dexcom Clarity offer condition-specific information according to patients’ diets, medication regimens, and educational materials congruent with their cultures (Supramaniam et al., 2024).

Wearable devices such as smartwatches and continuous glucose monitoring enhance adherence by delivering multilingual alerts and reminders addressing unique needs and allowing active disease management (Aissa, 2024). Furthermore, online community-based health programs utilize social media groups and virtual peer counseling forums to reduce stigma and provide collective learning about diabetes self-care. Through these digital breakthroughs, these innovations can be synthesized to build inclusive, tech-led interventions that maximize patient benefit and propel health equity in diabetes treatment.

Mitigating the Risk of Adverse Outcomes

Ensuring equitable access to personal health data and digital tools is essential for optimizing diabetes management among adults aged 40 to 60, particularly those from low-income, rural, and non-English-speaking communities. Structural, economic, and linguistic barriers hinder the effectiveness of health technology systems and result in adverse health consequences. Several factors perpetuate differences in diabetes management.

Digital illiteracy constrains some patients from utilizing mobile health applications and telemedicine services to their potential. Language and cultural barriers also complicate health information comprehension, which enhances risks of disease management (Tørris & Nortvedt, 2024). In addition, affordability limits the usage of smart gadgets and high-quality internet, with participation in e-health interventions becoming restricted. Data privacy and protection concerns related to personal health data also discourage enrollment in online care programs.

Addressing digital healthcare challenges necessitates community-driven workshops that equip patients with the skills to navigate mobile applications and telehealth platforms. Digital health technologies with multilingual capabilities and cultural adaptability enhance access to diabetes management services. Low-income patients lacking internet access and smart devices have access to subsidized support programs to improve digital accessibility. Healthcare facilities secure patient data through rigorous security protocols, ethical data handling practices, HIPAA-compliant encryption, and consent protocols.

These strategies work well if executed appropriately. The Teladoc Health Diabetes Management Program enhances virtual diabetes care to under-served populations by allowing patients to access care from remote healthcare professionals and certified diabetes education specialists (Teladoc Health, 2024). Additionally, culturally tailored mHealth solutions enhance diabetes self-care and health literacy. By implementing inclusive digital health interventions, disparities in healthcare can be reduced, leading to better patient outcomes across diverse communities.

Conclusion

Evidence-based, patient-focused digital health interventions must be implemented to improve diabetes care among adults aged 41 to 65, particularly among the underserved. By using mobile health software, telehealth, wearable sensor devices, and AI-based virtual assistants, healthcare professionals can interact more with patients, support patient self-management, and improve outcomes. Overcoming challenges such as digital literacy, expense, and linguistic barriers through community-based workshops and culturally specific interventions ensures equal access to these technologies. Additionally, safeguarding patient data with HIPAA-compliant security measures builds trust and invites broader adoption. Lastly, leveraging innovative digital approaches encourages inclusive, effective, and patient-centered diabetes care, reducing disparities and enhancing overall public health.

References

Aissa, N. A. (2024). Can digital technology revolutionize continuous education in diabetes care? Journal of Diabetes Science and Technology. https://doi.org/10.1177/19322968241298000

Alloatti, F., Bosca, A., Caro, L. D., & Pieraccini, F. (2021). Diabetes and conversational agents: the AIDA project case study. Discover Artificial Intelligence, 1(1). https://doi.org/10.1007/s44163-021-00005-1

Cengiz, D., & Korkmaz, F. (2023). Effectiveness of a nurse‐led personalized patient engagement program to promote type 2 diabetes self‐management: A randomized controlled trial. Nursing & Health Sciences, 25(4). https://doi.org/10.1111/nhs.13048

Ebekozien, O., Fantasia, K., Farrokhi, F., Sabharwal, A., & Kerr, D. (2024). Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all? Diabetes, Obesity & Metabolism, 26 Suppl 1, 3–13. https://doi.org/10.1111/dom.1547

Espinoza, J. C. (2022). Integrating diabetes technology data in the EHR. Diabetes Digital Health and Telehealth, 29–42. https://doi.org/10.1016/b978-0-323-90557-2.00012-1

NURS FPX 6011 Assessment 1 Evidence-Based Patient-Centered Needs Assessment

Hart, S., Campbell, C., Divine, H., Dicks, M., Kebodeaux, C., Schadler, A., & McIntosh, T. (2022). Telehealth diabetes services for non-English speaking patients. Journal of the American Pharmacists Association: JAPhA, 62(4), 1394–1399. https://doi.org/10.1016/j.japh.2022.03.009

Nigussie, E. M., Demeke, M. G., Adane, T. D., Mengistu, B. T., Goshu, A. T., Dessie, Y. A., Worku, B. G., & Asefa, E. Y. (2024). Diabetic health literacy and associated factors among patients with diabetes attending follow-up in public hospitals of Northeastern Ethiopia: a multicentre cross-sectional study. BMJ Open, 14(10), e084961–e084961. https://doi.org/10.1136/bmjopen-2024-084961

Rezaee, R., Khashayar, M., Saeedinezhad, S., Nasiri, M., & Zare, S. (2023). Critical criteria and countermeasures for mobile health developers to ensure mobile health privacy and security: Mixed methods study. JMIR MHealth and UHealth, 11, e39055. https://doi.org/10.2196/39055

Robson, N., & Hosseinzadeh, H. (2021). Impact of telehealth care among adults living with type 2 diabetes in primary care: A systematic review and meta-analysis of randomised controlled trials. International Journal of Environmental Research and Public Health, 18(22), 12171. https://doi.org/10.3390/ijerph182212171

NURS FPX 6011 Assessment 1 Evidence-Based Patient-Centered Needs Assessment

Sharma, V., Feldman, M., & Sharma, R. (2024). Telehealth technologies in diabetes self-management and education. Journal of Diabetes Science and Technology, 18(1), 148–158. https://doi.org/10.1177/19322968221093078

Supramaniam, P., Beh, Y.-S., Junus, S., & Devesahayam, P. R. (2024). Exploring mHealth app utilization for diabetes self-management: survey insights from a northern district in Malaysia. BMC Public Health, 24(1). https://doi.org/10.1186/s12889-024-21056-w

Teladoc Health. (2024). Diabetes. Teladochealth.com. 

https://www.teladochealth.com/expert-care/condition-management/diabetes

Tørris, C., & Nortvedt, L. (2024). Health literacy and self-care among adult immigrants with type 2 diabetes: a scoping review. BMC Public Health, 24(1). https://doi.org/10.1186/s12889-024-20749-6