Outcome (Mobile phone applications and hypertensio

Outcome (Mobile phone applications and hypertension treatment)

The primary theme of the paper is Outcome (Mobile phone applications and hypertension treatment) in which you are required to emphasize its aspects in detail. The cost of the paper starts from $99 and it has been purchased and rated 4.9 points on the scale of 5 points by the students. To gain deeper insights into the paper and achieve fresh information, kindly contact our support.

Outcome (Mobile phone applications and hypertension treatment)

INSTRUCTIONS:

Please see the attached instructions. i am placing two orders, pls give it to the same writer , so that the idea will flow. PLS DO NOT GIVE MY PAPER TO A PERSON WITHOUT MEDICAL KNOWLEDGE AND BACKGROUND. my topic is MY OWN TOPIC USE OF MOBILE PHONE APPS TO INCREASE MEDICATION ADHERENCE AMONG AFRICAN AMERICANS. There is a list of recommended books but you can use other books that can be accessed electronically. It has to be a book please, not a journal!

Appendix F: Data Collection Plan

 

Purpose: To assess the ability to design a data collection plan for an evidence-based practice project (Objectives 2 - 4).

 

Due date:

 

Points: 200

 

Assignment:

The success of an evidence-based practice project is determined by an appraisal of the outcomes that it generates. If there is no improvement in health, satisfaction, or cost effectiveness, then there is no need to change practice. The degree of improvement must be clinically meaningful and statistically significant in order to persuade other clinicians and administrators to adopt the practice. Thus, careful planning for data collection is key to the success of the project. This assignment requires each student to create a data collection plan that defines how success in the project will be defined.

 

The assignment has two parts, an overview of the data collection plan (300 to 500 words) and a table outlining the data collection elements (table form is posted in Week 6 of Blackboard). Each plan must include one to three clinical outcomes, one to three satisfaction outcomes, and one to three cost outcomes. Students contemplating using more than three outcomes of any type should choose the most important metrics and report only those for this assignment.

 

 

In summary: Step 1 is to prepare a description of the metrics to be used to judge the success of the project. Step 2 is to summarize the details of data collection in a table.

CONTENT:
Data Collection PlanAuthor`s NameInstitutionOverviewA significant number of hypertensive patients have deteriorating conditions attributed to non-adherence to treatment (Kaplan & Victor, 2009). African American males are especially at an elevated risk (Kaplan & Victor, 2009). As such, it is necessary to devise methods that improve adherence in African American males with hypertension in Los Angeles. Mobile phone applications are one such intervention. With such technology, caregivers can alert and easily communicate with clients in regards to the treatment process. I believe that 3 months of implementation of mobile phone application will significantly enhance adherence and decrease cost of hypertension treatment.Five cardinal variables will be measured as indicated in table 1 below. All the five variables will be measured at baseline, and 3 months after implementation of the project. The Morisky Medication Adherence Scale (MMAS) will be used for assessing adherence to antihypertensive regimen. The MMAS is an 8 item questionnaire that has one question answered on a 5-point likert scale and seven with a yes/no reply. In the MMAS scoring system, the scores range from 0 to 8. Scores of less than 6 reflect low adherence, scores of 6 to less than 8 reflect medium adherence and scores of 8 reflect high adherence. MMAS is reliable and valid according to several studies including Morisky et al., 2008 and Krousel-Wood et al., 2009. The internal validity and consistency will also be ensured. The use of mobile phone application is likely to improve the adherence score.The next two variables include patient`...
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