NURS FPX 6011 Assessment 1 Concept Map


NURS FPX 6011 Assessment 1 Concept Map

NURS FPX 6011 Assessment 1 Concept Map


Capella university

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

Prof. Name


 Evidence-Based Patient-Centered Needs Assessment

The focus of this assessment is to analyze the potential of healthcare technologies and strategies for enhancing patient engagement among the diabetic population aged 25-65. Moreover, the paper will explain the ways this technology can address the economic, cultural, and health needs of this patient population while promoting equity and ethical care. The analysis also involves using communication tools to enhance health literacy among the targeted population. Lastly, technological modalities with innovative strategies are described to deliver patient care tailored to linguistic preferences and cultural sensitivities.

Importance of Addressing Patient Engagement for Type-2 Diabetics (Aged 25-65)

Addressing patient engagement in managing type 2 Diabetes Mellitus within the population aged 25-65 is essential due to its profound impact on health outcomes, economic burden, and cultural considerations. Patient engagement ensures that individuals take an active role in managing their health needs, such as medication adherence, lifestyle modification, and health literacy for self-management. This will lead to better treatment compliance, improved status of health, and diminished healthcare expenditures (Glenn et al., 2020).

 Without active involvement, patients may struggle to understand their condition, adhere to treatment plans, and make necessary lifestyle changes. This leads to complications and increased healthcare utilization, straining healthcare resources and multiplying financial burdens. When patients are actively engaged in their care, they become partners in decision-making processes, developing treatment plans that are more aligned with their preferences, needs, and cultural backgrounds. For instance, patients who actively participate in diabetes education programs gain a better understanding of their condition due to linguistic preferences and culturally competent care plans. This leads to improved medication adherence, dietary choices, and physical activity levels. Moreover, patient engagement fosters a sense of ownership and responsibility for health outcomes, motivating individuals to adopt healthier behaviors and adhere to treatment regimens (Sørensen et al., 2020).

Specific examples of patient engagement strategies for type 2 diabetes management include tailored educational programs that address cultural preferences and language barriers. Additionally, digital health tools such as mobile applications for self-monitoring and medication reminders and telemedicine services for convenient access to healthcare providers are effective in promoting patient engagement (Søgaard et al., 2021). Moreover, peer support groups for emotional and practical support and shared decision-making processes involve patients in treatment planning and goal setting (Aboumatar et al., 2022). These strategies empower patients to manage their health, leading to improved self-management and better health outcomes.

Impact of Information and Communication Technology Tools

Healthcare information technologies for communication hold significant potential in improving knowledge of consumer health, particularly among diabetics aged 25-65. For diabetic patients, modalities like mobile applications, telehealth features, and other digital platforms offer innovative ways to enhance health literacy, facilitate self-management, and improve overall healthcare outcomes. Mobile applications tailored for diabetes management can provide easily accessible information on topics such as blood sugar monitoring, medication management, dietary choices, and exercise regimens. These apps can also include features like medication reminders, glucose tracking, and educational resources to empower patients with essential knowledge and skills for self-care (Guo et al., 2020). Furthermore, telehealth services enable diabetic patients to consult healthcare providers remotely, allowing for timely guidance, monitoring, and education without the need for frequent in-person visits (Banbury et al., 2020).

There are specific unanswered questions in the analysis requiring further information. For instance, it’s crucial to understand the preferences, challenges, and technological proficiency of diabetic patients within the specified age range to ensure that ICT tools are effectively tailored to their needs. Additionally, exploring the socio-economic factors, cultural backgrounds, and health literacy levels of the target population can provide insights into potential barriers to adopting and utilizing ICT tools for health management (Visscher et al., 2020). Addressing these unanswered questions and uncertainties can guide the development and implementation of ICT solutions that effectively support health literacy and improve patient care for the selected diabetic population.

Evaluation of Technology Modalities

The technology modalities identified for addressing the needs of diabetic patients aged 25-65 include mobile applications, telehealth features, and digital platforms. These approaches hold significant value and relevance in improving health outcomes, addressing economic concerns, and respecting cultural diversity. Firstly, these modalities provide accessible and convenient access to healthcare resources, promoting inclusivity and empowering patients to manage their condition effectively (Sharma et al., 2022). Additionally, these modalities can be modified by building features or add-ons related to cultural preferences and addressing cultural sensitivities.

Promoting self-management, these technologies also reduce healthcare costs associated with diabetes-related complications (Hilty et al., 2021). By facilitating remote consultations and monitoring, telehealth features enable prompt interventions, decreasing the frequency of in-person consultations and minimizing disruptions to patients’ daily lives, thus addressing economic concerns related to healthcare access and productivity loss (Sharma et al., 2022).

NURS FPX 6011 Assessment 1 Concept Map

Moreover, Technology modalities that are interchangeable and interoperable increase their value by facilitating easy patient data sharing and communication among healthcare professionals. For instance, interoperable mobile applications are able to combine data from multiple sources, such as glucose monitors, fitness trackers, and electronic health records, providing a gist of patient’s health status and facilitating personalized interventions (Ndlovu et al., 2021). This interoperability streamlines care coordination, improves treatment decision-making, and enhances patient engagement, ultimately leading to better health outcomes and resource utilization.

Secure messaging features within mobile applications and telehealth platforms enable patients to communicate with healthcare providers confidentially and honestly. This software also permits sharing information that is only allowed to share (Wang et al., 2020). Additionally, language translation services and multimedia content ensure that patients and their families, regardless of language, ability, or educational background, can grasp complicated medical terms and ideas (Edwards et al., 2022). By employing plain language, visual aids, and interactive tools, technology modalities enhance health literacy, promote informed decision-making, and foster a supportive healthcare environment that respects cultural diversity and individual preferences (Aberer et al., 2021).

Innovative Strategies Leveraging Technology

Innovative strategies such as telemedicine with the aid of Multilingual Virtual Assistants (MVA) and cultural competency training through Virtual Reality are effective ways to provide patient care addressing cultural and linguistic concerns in Diabetics aged 25-65. Implementing telemedicine services with multilingual virtual assistants can enhance access to culturally and linguistically appropriate care for diabetic patients. These virtual assistants can communicate with patients in their preferred language, addressing language barriers and ensuring a clear understanding of medical instructions and information (Nguyen et al., 2021).

Similarly, utilizing virtual reality technology to provide cultural competency training for healthcare providers can enhance their ability to deliver culturally appropriate care to diabetic patients. VR simulations can immerse providers in realistic scenarios involving individuals with a variety of cultural backgrounds. This allows them to practice communication skills and navigate cultural differences in a controlled and interactive environment. Incorporating cultural competency training through VR technology ensures that medical practitioners have adequate knowledge and expertise to deliver culturally competent care to diabetic patients, thereby promoting trust, engagement, and positive health outcomes (Beverly et al., 2021).

Mitigating Risks and Inequities in Access to Health Data and Technology

By emphasizing inclusivity and cultural sensitivity, the suggested techniques seek to reduce the risk of unfavorable consequences resulting from unequal access to patients’ personal health data and technology modalities. For instance, implementing telemedicine with multilingual virtual assistants ensures that patients from diverse linguistic backgrounds have equitable access to healthcare services. By providing language support, this strategy reduces barriers to communication. It facilitates equitable participation in virtual consultations (Nguyen et al., 2021). Similarly, cultural competency training through virtual reality fosters a healthcare workforce that is better equipped to address the unique cultural needs of patients. By promoting understanding and respect for cultural differences, this strategy helps mitigate the risk of adverse outcomes associated with cultural inequities in healthcare delivery (Beverly et al., 2021). These strategies align with previous approaches that have successfully addressed inequities by prioritizing language access, cultural competence, and inclusivity in healthcare delivery, ultimately enhancing patient outcomes and reducing disparities in access to care.


Diabetic patients aged 25-65 need to address their health, economic, and cultural needs with effective collaboration with a team using technological advancements. These include telehealth, m-applications, VR, and innovative strategies like MVA and VR. These technologies promote patient engagement, health literacy, and equitable and ethical patient care. The patient-centered care is possible by personalizing the apps and technologies to the needs of the selected patient population.


Aberer, F., Hochfellner, D. A., & Mader, J. K. (2021). Application of telemedicine in diabetes care: The time is now. Diabetes Therapy12(3). 

Aboumatar, H., Pitts, S., Sharma, R., Das, A., Smith, B. M., Day, J., Holzhauer, K., Yang, S., Bass, E. B., & Bennett, W. L. (2022). Patient engagement strategies for adults with chronic conditions: an evidence map. Systematic Reviews11(1). 

Banbury, A., Nancarrow, S., Dart, J., Gray, L., Dodson, S., Osborne, R., & Parkinson, L. (2020). Adding value to remote monitoring: Co-design of a health literacy intervention for older people with chronic disease delivered by telehealth – the telehealth literacy project. Patient Education and Counseling103(3). 

Beverly, E. A., Love, C., Love, M., Williams, E., & Bowditch, J. (2021). Using virtual reality to improve health care providers’ cultural self-efficacy and diabetes attitudes: Pilot questionnaire study. JMIR Diabetes6(1), e23708. 

Edwards, C., Orellana, E., Rawlings, K., Rodriguez-Pla, M., & Venkatesan, A. (2022). Changes in glycemic control following utilization of a Spanish-language, culturally-adapted, diabetes program: A retrospective study. JMIR Formative Research 

Glenn, L. E., Nichols, M., Enriquez, M., & Jenkins, C. (2020). Impact of a community‐based approach to patient engagement in rural, low‐income adults with type 2 diabetes. Public Health Nursing37(2), 178–187. 

Guo, S. H.-M., Hsing, H.-C., Lin, J.-L., & Lee, C.-C. (2020). Investigating relationships between mobile eHealth literacy, diabetes self-care, and glycemic outcomes in Taiwanese patients with diabetes type 2: Cross-Sectional study. JMIR MHealth and UHealth9(2). 

NURS FPX 6011 Assessment 1 Concept Map

Hilty, D. M., Crawford, A., Teshima, J., Nasatir-Hilty, S. E., Luo, J., Chisler, L. S. M., Gutierrez Hilty, Y. S. M., Servis, M. E., Godbout, R., Lim, R. F., & Lu, F. G. (2021). Mobile health and cultural competencies as a foundation for telehealth care: Scoping review. Journal of Technology in Behavioral Science6 

Ndlovu, K., Mars, M., & Scott, R. E. (2021). Interoperability frameworks linking mHealth applications to electronic record systems. BMC Health Services Research21(1). 

Nguyen, T.-T., Sim, K., Kuen, A. T. Y., O’donnell, R. R., Lim, S. T., Wang, W., & Nguyen, H. D. (2021). Designing AI-based conversational agent for diabetes care in a multilingual context. 

Sharma, V., Feldman, M., & Sharma, R. (2022). Telehealth technologies in diabetes self-management and education. Journal of Diabetes Science and Technology18(1), 193229682210930. 

Søgaard, M. B., Andresen, K., & Kristiansen, M. (2021). Systematic review of patient-engagement interventions: potentials for enhancing person-centred care for older patients with multimorbidity. BMJ Open11(12), e048558. 

NURS FPX 6011 Assessment 1 Concept Map

Sørensen, M., Groven, K. S., Gjelsvik, B., Almendingen, K., & Garnweidner-Holme, L. (2020). The roles of healthcare professionals in diabetes care: A qualitative study in Norwegian general practice. Scandinavian Journal of Primary Health Care38(1), 12–23. 

Visscher, B. B., Steunenberg, B., Heerdink, E. R., & Rademakers, J. (2020). Medication self-management support for people with diabetes and low health literacy: A needs assessment. PLOS ONE15(4), e0232022. 

Wang, Y., Min, J., Khuri, J., Xue, H., Xie, B., Kaminsky, L., & Cheskin, L. (2020). Effectiveness of mHealth interventions on diabetes and obesity treatment and management: A systematic examination of recent evidence. JMIR MHealth and UHealth8(4). 


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