POP Assignment 7

Purpose

The purpose of this assignment is to develop and execute an evaluation plan from population health data.  The ABCD framework will be utilized to complete this activity.

Topic: Assume you are leading a team focused on “big data” and health care planning. Visit the World Health Organization (WHO) websites at www.who.int. and/or the Centers for Disease control and Prevention (CDC) at www.cdc.gov. Based on your personal experience and interests, select a listed pandemic problem or disease currently effecting population health. Utilize the data set associated with this Pandemic to complete the remainder of this assignment.

Appraise: Examine the data set closely. What statistical analysis was utilized to reach these results? Are the tests used appropriate? Provide your rationale.

Bounce off: Next, consider how a nurse leader might approach this issue? Search the literature for evidence to support an appropriate and feasible intervention to address this problem in the community. Consider issues such as budget, cost effectiveness, practice initiatives, and program impact. Formulate the following and share with your classmates in the week 7 discussion forum a) One specific intervention addressing the Pandemic, b) goal of the intervention, and c) budget and cost effectiveness measures d) methods for evaluation of intervention. Additionally, provide your rationale through a brief synopsis of your findings in the literature as well as the data set utilized. Gather insight from your peers through engaging in critical appraisal of one another’s posts. (This component will be graded separately but evidence of peer collaboration should be seen in the final presentation.) (Initial post due by Saturday at midnight of week 7 and final peer responses due by Tuesday at midnight.)

Compile: With consideration to the feedback received in the discussion forum and evidence found through your independent efforts, compile themes to synthesize the evidence. In a voice-over PPT format discuss the problem and the plan for improvement. Specifically address how this model would reflect best practices in population health and the role of big data in evidence-based practice within population health. How did you use the data set chosen to formulate a plan to promote health in the population setting?

 Disseminate: Share your overall findings with the other students in the course by posting your final PPT presentation in the discussion area of week 8 by including a link or the presentation. You should post your initial post to this discussion forum by Wednesday night at midnight of week 8. Please review your peer’s submissions and provide feedback, no later than Friday at 3:00pm PST. Your final deliverable is due Wednesday at 1159pm PST of week 8 please submit your final assignment into the assignment drop-box for grading.

Requirements:

1. To complete this assignment, you will need to access to the following databases: PubMed, CINAHL, MEDLINE, Cochrane Library, and other resources in the Jay Sexter Library. These data bases can be accessed through the Touro Online Library  http://tun.touro.edu/jay-sexter-library/ (Links to an external site.)

2. The Week 7-8 Assignment is worth 200 points and will be graded using the designated rubric. Grading criteria include quality of content, appropriate citations, use of Standard English grammar, and overall organization and readability.

3. Create your assignment using a PowerPoint or Prezi

4. There is no required length, but the submission should be substantive to address all requirements.

5. APA format is required.    

6. The following sections should be included and denoted through APA section headings in the work product:

1. Introduction to Pandemic Disease Examined

2. Data presented from AHRQ site pertaining to disease

3. Interpretation of Data: Critical Appraisal of Statistics

4. Nursing Leadership Approaches to the issues

1. Current scholarly evidence overview

2. Proposed Intervention

· Causes and Practice Initiatives

1. Budget and Cost Effectiveness of Initiatives

2. Program Impact

3. Methods for Evaluation of the Intervention