Florida National University PICOT / Research Assignment Purp ✓ Solved

Florida National University PICOT / Research Assignment Purpo

The student will share their PICOT question and further explore and explain its key components, as well as examine its feasibility as a hypothetical project.

You will submit one (1) paper as part of this assignment; inclusive of:

  • PICOT (written/narrative)

Your scholarly paper must follow APA format. Include a cover page and headings per 6th edition APA guidelines.

The PICOT (written/narrative) component of the assignment should be no more than 4-7 pages (not including the title or references pages).

Include the following components in the PICOT part of your scholarly paper:

  • Title Page
  • Introduction
  • Problem Statement
  • PICOT Question explanation of each component
    • Population of Interest
    • Intervention of Interest
    • Comparison of Interest
    • Outcome of Interest
    • Timeframe
  • Conclusion
  • References Page

All Florida National University policies related to plagiarism must be observed.

Paper For Above Instructions

Title Page

Title: Improving Patient Outcomes in Diabetic Management Using Mobile Health Technology

Author: [Your Name]

Institution: Florida National University

Date: [Insert Date]

Introduction

Diabetes mellitus has become one of the most prevalent chronic diseases worldwide, leading to significant health complications and increased healthcare costs. Effective management of diabetes is crucial for preventing these complications and improving patients' quality of life. This paper explores a PICOT question aimed at evaluating the impact of mobile health (mHealth) technologies on patient outcomes in diabetic management. The central goal of this study is to demonstrate how mHealth interventions can enhance adherence to treatment and improve health outcomes in individuals with diabetes.

Problem Statement

Despite advances in diabetes management, many patients struggle with adherence to prescribed regimens, leading to complications such as cardiovascular diseases, kidney failure, and neuropathy (Winkley et al., 2018). According to the Centers for Disease Control and Prevention (2020), more than 34 million Americans have diabetes, and approximately 1 in 5 do not know they have it. The need for innovative solutions to improve patient engagement and monitoring is critical. Recent studies suggest that mHealth technologies can facilitate better management practices and enhance patients’ self-efficacy (Free et al., 2013). This indicates a pressing need for a systematic exploration of mHealth's feasibility and effectiveness as an intervention in diabetic care.

PICOT Question

In adult patients with diabetes (P), how does the implementation of mobile health technology (I) compared to standard care (C) affect glycemic control (O) over a six-month period (T)?

Population of Interest

The population of interest in this study consists of adult patients aged 18 and older living with type 2 diabetes. This demographic is particularly vulnerable to the complications associated with diabetes due to factors such as aged-related physiological changes and comorbidities (Zheng et al., 2018). Engaging this population is crucial since they are most likely to benefit from improved management strategies facilitated by technology.

Intervention of Interest

The intervention of interest will be the implementation of a mobile health application designed for diabetes management. The app features glucose monitoring, medication reminders, diet tracking, and educational resources about diabetes care. Prior studies have indicated that such interventions can significantly increase user engagement and promote healthier lifestyle choices among diabetic patients (Bendz et al., 2018). Key literature will be utilized to support the integration of evidence-based practices into the proposed intervention.

Comparison of Interest

The comparison of interest is standard care for diabetes management, which typically includes routine clinical check-ups, dietary advice, and medication adherence without the use of mobile technologies. By comparing these two approaches, the effectiveness of mHealth in improving patient outcomes can be evaluated. The absence of a comparison may not be justifiable since it would eliminate the opportunity to measure the potential impacts of the mHealth intervention accurately (beyond traditional methods).

Outcome of Interest

The primary outcome of interest is glycemic control, measured by Hemoglobin A1c (HbA1c) levels. This measurement is a reliable and valid indicator of long-term glucose levels, and it provides essential data for evaluating the effectiveness of diabetic treatment strategies (American Diabetes Association, 2020). Secondary outcomes may include patient adherence to medication regimens and quality of life evaluations, both of which are crucial in assessing the overall impact of the intervention.

Timeframe

The implementation phase of the project is proposed to last for six months, during which patient data will be collected pre- and post-intervention to evaluate the effects of the mobile health application on glycemic control. This timeframe is appropriate to ensure adequate exposure to the intervention while allowing for measurable outcomes to be obtained (Carlson et al., 2020).

Conclusion

This paper presents a comprehensive exploration of advancements in diabetes management using mobile health technologies. By evaluating the specified PICOT question, the analysis aims to underscore the significance of adopting innovative approaches in the management of diabetes to enhance patient outcomes. The findings could ultimately inform and guide future healthcare practices in diabetes management, demonstrating the value of integrating technology into patient care.

References

  • American Diabetes Association. (2020). Standards of medical care in diabetes—2020. Diabetes Care, 43(Supplement 1), S1-S212.
  • Bendz, L. M., Olausson, D., & Oscarsson, T. (2018). The impact of mobile health applications on healthcare quality and patient satisfaction for chronic disease management: A systematic review. Journal of Health Communication, 23(11), 812-820.
  • Bring, J., & Lindberg, M. (2019). Mobile health technology for chronic disease management: Systematic review and meta-analysis. BMC Medical Informatics and Decision Making, 19(1), 110.
  • Carlson, J. R., Kesch, E. P., & Bowers, K. (2020). Implementation of mobile health technology for diabetes management: A literature review. Journal of Diabetes Science and Technology, 14(1), 1-10.
  • Free, C., Phillips, J., Galli, L., et al. (2013). The effectiveness of mobile-health technologies to improve health care service delivery processes: A systematic review and meta-analysis. PLOS Medicine, 10(1), e1001363.
  • Winkley, K., Ridge, D., & O'Hare, J. (2018). The impact of mobile phone technology on patient self-management in chronic conditions: A systematic review. Journal of Telemedicine and Telecare, 24(2), 85-99.
  • Zheng, Y., Ley SH, & Hu, F. B. (2018). Global Epidemiology of Type 2 Diabetes and Its Cardiovascular Implications. Nature Reviews Cardiology, 15(2), 85-98.

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