NURS 707 Technology & Data Driven Decision Making Case Studies

CASE STUDY 1 & 2

Case Study – Phase 1:

A group of DNP prepared clinicians at a community clinic note a recent increase in clients presenting with complications related to uncontrolled hypertension. The clinicians decide to briefly review a few charts in an attempt to identify a possible cause. The clinicians conclude the clients’ inability to manage lifestyle behaviors is the reason for the recent increase in complications.

A preliminary review of the literature by the clinicians reveal evidence supports implementing individualized educational sessions to decrease complications related uncontrolled hypertension. Based on this information the clinicians begin to develop a plan to implement and evaluate a project.

Case Study – Phase 2

The DNP clinicians returned to the literature for a more thorough review. The clinicians concluded the intervention of the project would be individualized educational sessions addressing the client’s self-efficacy for chronic disease management. The clinicians located a tool through the Stanford Patient Education Research Center that was developed and tested to measure the clinical problem of interest.

The clinicians decided to use this tool to measure the outcome of increased self-efficacy for chronic disease management. In addition, the demographic data points of age, gender, ethnicity, and use of the Internet for health information were selected to describe the characteristics of the participants of the project.

NURS 707 Technology & Data Driven Decision Making Case Studies – Week 8

What does the term Descriptive Statistics mean?
Identify which demographic and outcome data points in the case study a mean, range, and standard deviation will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points. (Hint: this information is useful for your data analysis plan in NUR 704 or your related MSN courses).
Identify which demographic and outcome data points in the case study frequencies and percentages will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points. (Hint: this information is useful for your data analysis plan in NUR 704 or related MSN courses).
Discuss one method the task force could use to analyze the collected outcome data (e.g. a group mean comparison of pre and post protocol values, a percent change, a t -test, etc). Include a rationale of why you chose this method. Also discuss any potential limitations of using this approach for data analysis. (Hint: you will be using this in your NUR 704 data evaluation plan or your related MSN courses).

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NURS 707 Technology & Data Driven Decision Making Case Studies Instructions

Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.

Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.

Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.

The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.

ADDITIONAL INSTRUCTIONS FOR THE CLASS

Discussion Questions (DQ)

Initial responses to the DQ should address all components of the questions asked, include a minimum of one scholarly source, and be at least 250 words.
Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source.
One or two sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words.
I encourage you to incorporate the readings from the week (as applicable) into your responses.

Weekly Participation

Your initial responses to the mandatory DQ do not count toward participation and are graded separately.
In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies.
Participation posts do not require a scholarly source/citation (unless you cite someone else’s work).
Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week.

APA Format and Writing Quality

Familiarize yourself with APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the
Resources tab in LoudCloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required).
Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation.
I highly recommend using the APA Publication Manual, 6th edition.

Use of Direct Quotes

I discourage overutilization of direct quotes in DQs and assignments at the Masters’ level and deduct points accordingly.
As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content.
It is best to paraphrase content and cite your source.

LopesWrite Policy

For assignments that need to be submitted to LopesWrite, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me.
Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes.
Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own?
Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for tips on improving your paper and SI score.

Late Policy

The university’s policy on late assignments is 10% penalty PER DAY LATE. This also applies to late DQ replies.
Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances.
If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect.
I do not accept assignments that are two or more weeks late unless we have worked out an extension.
As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading.

Communication

Communication is so very important. There are multiple ways to communicate with me:

Questions to Instructor Forum: This is a great place to ask course content or assignment questions. If you have a question, there is a good chance one of your peers does as well. This is a public forum for the class.
Individual Forum: This is a private forum to ask me questions or send me messages. This will be checked at least once every 24 hours.

NURS 707 Technology & Data Driven Decision Making Case Studies