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DNP-815A PICOT-D Question Submission GCU

DNP-815A PICOT-D Question Submission GCU

Directions:

  1. Using the “PICOT-D Question Template,” located in the DC Network, fully fill out the PICOT-D question using all templated statements and ensuring your original research articles are listed to the assignment dropbox.
  2. Utilize feedback received on prior PICOT Question Submissions (DNP-801A, DNP 805A and DNP-815A).
  3. The PICOT-D Question Template must be saved using this format: Learner first name.learner last name.course#.date.doc. Example: Mary.Smith.DNPXXX.XX.XX.2020.doc (if not labeled correctly, this submission will be not be reviewed and will be returned to you)
  4. Make sure you made 100% of all the previous changes from your previous reviews.

The decision tree derived from the article of Bruchem-Vissera, R. (2020) is based on the methodology described in

AACN nursing theory elements like asking, assessing, affirming, and acting. The first step involved designing a decision tree fit to all situations and then moving to secure the probabilities and utility of the outcome against the selected situation. The third step involved the affirmation of the particular decision following the calculation of cumulative probabilities ( Bruchem-Visser et al., 2020). The final step according to AACN’s theory is to

take action that can be analysis of the information as per the situation stated in DQ1. Following is a decision tree representing the decision taken by the nurse in response to the application of ethical theory in practice:

According to the selected article for analysis against the ethical theory, the checkpoints

that need to be considered in ethical decision making can be enlisted as follows:

Checkpoint Description

Identification of problem or dilemma:

The first step of the decision tree involves the identification of issues and need special attention. the nurse moves to examine the moral dilemma related to that issue and tries to identify the manners and social agreements while taking things into monarchy or conflicting standards which are not moral and economical and technologically aesthetic ( Bruchem-Visser et al., 2020).

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Application of Global Ethics:

The nurse manager will evaluate the decision based on institutional global ethics standards like credibility, transparency, and accountability. However, taking an assessment of the decisions the nurse needs to keep a high level of patience, coordination, and determination.

Ethical Fitness :

The next checkpoint in the decision tree is to observe the ethical fitness of the decision. This feature is comprised of social circumstances like the patient has certain perceptions regarding the release of information about his disease ( Bruchem-Visser et al., 2020). These perceptions reveal the quality of the information provided to nurses and the medical care provided to them.

Model to Healthcare Practice Issue:

The feasibility of the healthcare practice model is another point in the decision tree. It helps nurses to remove the dilemma of situations and to better entertain the stakeholders. For the resolution of dilemmas, the nurses are supposed to use ethical models for the selection of appropriate practices. The nurse can adopt a model based on the concept of autonomy providing the basic rights of healthcare decisions to every patient ( Bruchem-Visser et al.,2020).

References

Bruchem-Visser, Z., Dijk, G., Beaufort,I. and Mattace-Raso,F. (2020). Ethical frameworks for

complex medical decision making in older patients: A narrative review. Archives of

Gerontology and Geriatrics, 104-160, https://doi.org/10.1016/j.archger.2020.104160.

Morrell, J., Konda, S.and Grant-Kels, M. . (2019 ). Response to a letter to the editor regarding

"The ethical issue of cherry-picking patients. J Am Acad Dermatol, e127.

Read Also: DNP-815A Lopes Activity Tracker Submission

The department has conducted a review of your PICOT-D question in an effort to support the development of your project. Please note that this review is a FINAL APPROVAL of the PICOT-D and will require permission by the DNP Program Lead for any changes to this statement beyond the date of this approved review. We highly discourage changes as they may prevent you from progressing.

PICOT-D Question:

 

Among patients with type 1 or type 2 diabetes in an outpatient clinic, will the translation of Xu et al’s           research on diabetes self-management education and support with telehealth intervention compared to the present diabetes management practice positively impact HbA1c in 12 weeks?

 

Mandatory questions:  Are you an APRN?  Yes               What is your expected graduation year? 2024

All projects must have a minimum of 3 original research studies to support the intervention.  (One of the three original research articles to support your intervention need to come from the US or Canada). The other research studies can come from the UK, Denmark, India, New Zealand, or Australia (preferred) or from any of the 131 countries listed in the International Compilation of Human Research Standards 2020.

*** In DNP-955A You will be required to have a total of 15 research articles to support the intervention (3 from PICOT, plus other original research)

Original Research Articles (Use permalinks and attach a pdf copy of each of the quantitative original research articles):

 

Fang, R., & Deng, X. (2018). Electronic messaging intervention for management of cardiovascular risk factors in type 2 diabetes mellitus: a randomised controlled trial. Journal of Clinical Nursing27(3-4), 612-620 https://doi.org/10.1111/jocn.13962

Fortmann, A. L., Gallo, L. C., Garcia, M. I., Taleb, M., Euyoque, J. A., Clark, T., … & Philis-Tsimikas, A. (2017). Dulce Digital: an mHealth SMS-based intervention improves glycemic control in Hispanics with type 2 diabetes. Diabetes Care40(10), 1349-1355. https://doi.org/10.2337/dc17-0230

Xu, R., Xing, M., Javaherian, K., Peters, R., Ross, W., & Bernal-Mizrachi, C. (2020). Improving HbA1c with glucose self-monitoring in diabetic patients with EpxDiabetes, a phone call and text message-based telemedicine platform: A randomized controlled trial. Telemedicine and e-Health26(6), 784-793. https://doi.org/10.1089/tmj.2019.0035