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Code of Ethics.

Nursing paper. 2 pages

Discusses possible outcomes of both positions. Present plans each for resolving the issue (for patient, family and the nurse). 

Supports ideas with 3 scholarly literature nursing peer reviewed not older than 5 years.

APA citation format.

Use this link to take you directly to the ANA website to access the Code of Ethics. When prompted, choose “No I do not wish to register at this time. Take me to the Code now.” https://www.nursingworld.org/practicepolicy/nursing-excellence/ethics/code-of-ethics-for-nurses/

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Tuskegee Syphilis Study

The Willowbrook Study (Darr, 2011, pp. 114-116) is not the only research study that raised concerns about the ethical treatment of study participants. In fact, there were others many others including the Tuskegee Syphilis Study. Please select only

Option #1. Summarize the Tuskegee Syphilis Study (in one paragraph). Why was this experiment unethical? Discuss the ethical issues that were raised as a result of the study.

Here are a few links that you may want to refer to:
http://www.tuskegee.edu/about_us/centers_of_excellence/bioethics_center/about_the_usphs_syphilis_study.aspx
http://www.cdc.gov/tuskegee/timeline.htm

Option #2:

If you would like to examine another study instead, feel free to do so. You must reference the article or website you used. Summarize. Why was the experiment unethical? Discuss the ethical issues raised as a result of the study?

Option #3
Milgram Study, 1961
Stanford Prison Study, 1970
Jewish Chronic Disease Hospital (cancer), 1963

Assignments are to be a minimum of 2 full pages of text and 3 reputable references in proper APA format.

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CLINICAL CASE DECISION INSTRUCTIONS

CLINICAL CASE DECISION INSTRUCTIONS

Grading Criteria for Clinical Case Decisions:

The highest potential points for each Clinical Case Decision Question are 15-points.  Students are required to upload their response as a word document attachment to the assignment drop box.

Each uploaded response is worth a possible 15 points.

  1. Your comments should be substantiated and substantive. Postings require two citations from 1 scholarly journal and/or 1 outside textbook. Textbooks assigned to this course may be used for an additional citation only.
  2. Each of the two references must be from a different reference source.
  3. To gain full credit for the assignment, the response must be a full page, but no more than three (3) pages in length, which includes the reference list.
  4. Students are required to use APA format, proper citations, and references.  Students using direct quotes from referenced sources in the body of the paper must include quotations.
  5. Students will be assigned to a question.

Clinical Decision Case study.

Begin with a Head-Toe assessment, you decide if it should be treated as episodic with rationale.

You have been assigned two (2) cases to provide analysis. All cases should include the following

a. Pathophysiology and pharmacology of the disease

b. Expected signs and symptoms of the disease.

c. Nursing Diagnosis with a plan of care.

d. All questions pertaining to the case as listed under each case. 

You have been assigned two (2) cases to provide analysis. 

C1.  Mr. Bush, a 45-year-old middle school teacher arrives at the emergency department by EMS ground transport after he experienced severe mid-sternal chest pain at work. On arrival to the ED,

a.  What priority interventions you would initiate?

b. What information would you require to definitively determine what was causing Mr. Bush’s chest pain?

C2. Explain how diuretics, receptor antagonists, angiotensin converting enzyme antagonists, and angiotensin receptor antagonists reduce blood pressure in individuals with primary hypertension.

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defined patient population

Please, no plagiarized work. I need between 100-120 words for each of the assignment. Also, please provide references under each assignment.

4:1 

Select a defined patient population for example; diabetic patients over 65 years of age. List elements that you think will be valuable in a database. Describe each element and explain each terms of its type of data (text, numbers, date, time, binary, etc.). If an element can be more than one type of data explain how that is possible. Be sure to post an element different from that of your peers.

4:2

Discuss the type of integration data from your defined patient population in Topic 4:1 would require. How could the EHR database facilitate this type of integration between clinical and administration systems

5:1

Select a specific clinical problem and post a clinical question that could potentially be answered using data mining. Identify data mining techniques you would apply to this challenge, and provide your rationale. Are there any specific data mining techniques you would not use? Support your decision.

5:2

Using the clinical question you identified from above, determine the individual components to that question and pinpoint the location in the hypothetical database where the information you require will be extracted.

6:1

A patient of your choice is being discharged to home and will use telehealth technology. Post the technology your patient will use at home and how will you connect with the patient using this technology.

6:2

Consider current telehealth strategies and alternatives. Evaluate current implementation strategies for telehealth systems and provide an assessment of the pros and cons. Identify a particular practice area (e.g., clinic, hospital, primary care site) and discuss how you as a health care leader might you implement a similar strategy in that area?

7:1

Describe one technology that you use on a daily basis that you thoroughly like or appreciate. What features or elements does that technology provide to you that make it easy, enjoyable, or necessary to use? Name one element of the technology you would change to improve its functionality for your needs?

7:2

Describe one technology that you use on a daily basis that you dislike or that is dissatisfying in some manner. What features or elements of that technology make it difficult, frustrating, or not enjoyable to use? Name one element of the technology you would change to improve its functionality for your needs?

8:1

For a specific patient population, select one application or a technology that could effectively increase patient engagement and patient outcomes for your future practice area or work focus. What elements of this application or technology are the most valuable to you? How could you improve this technology?

8:2

Describe how you can apply the spectrum of health care technology options to develop a plan to manage your patient from acute care to home care and then into the community. What organizational, societal, cultural, or other factors might impact your plan, and how could you address these?

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Levels of Measurement

Levels of Measurement

There are many different methods for analyzing quantitative data; each method is dependent on the type of data gathered as well as the research question being addressed. The first step in analyzing data is to determine what kind of data you have—the level of measurement. Determining the level of measurement is a method of classifying the variables within a research study. Classifying a variable into its appropriate level of measurement helps a researcher determine the most appropriate statistical analysis for those data and to interpret the data the variable generates.

In this Discussion, you identify independent and dependent variables in your research problem, which you identified in the Week 2 Discussion. You classify these variables into their appropriate levels of measurement and determine suitable ways of analyzing the data generated by each variable.

To prepare:

Review the materials presented in Chapter 1 of the Polit textbook.
Consider Dr. Pothoff’s comments in this week’s media presentation on data analysis.
Recall your research problem statement developed for the Week 2 Discussion. Based on your problem statement, develop a research question to address the problem.
Ask yourself:

Does the research question involve a comparison of groups or the relationship of variables?
How many independent variables do I have? Dependent variables? What are they?
Is the independent variable categorical or continuous?
Is the dependent variable categorical or continuous?
What might be the advantages, or disadvantages, of each variable’s level of measurement?
By tomorrow Thursday 09/20/17, 8 am, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one and two headings as numbered and lettered below:

Post a cohesive summary of the following:

1) Post your research question. (formulate a research question based on “the nursing shortage” assignment u did for me last week – See attached file) it must be using “PICO”

a) Describe the independent and dependent variables

2) Identify the level of measurement of both the independent and dependent variables.

b) Provide a brief rationale for your classification of each variable.

3) Discuss considerations of analyzing data related to each variable based on its level of measurement.

c) Identify any advantages or challenges you might encounter in your statistical analysis of each variable.

Required Media

Laureate Education, Inc. (Executive Producer). (2011). Research methods for evidence-based practice: Quantitative research: Data analysis. Baltimore, MD: Author.

Note: The approximate length of this media piece is 10 minutes.

In this week’s video, the presenter describes challenges to collecting and utilizing quantitative data and offers suggestions for assessing and improving data quality. The strategic use of quantitative data by health care organizations is also considered.

Introduction to SPSS”

Used by permission from SPSSVideoTutor.com A division of ConsumerRaters LLC., 1121 S Military Trail, 314, Deerfield Beach, FL 33442, USA

Descriptive Statistics”

Used by permission from SPSSVideoTutor.com A division of ConsumerRaters LLC., 1121 S Military Trail, 314, Deerfield Beach, FL 33442, USA

Note: The approximate length of this media piece is 12 minutes.

Note: The approximate length of this media piece is 11 minutes.

Top of Form

Required Readings

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

Chapter 21, “Introduction to Statistical Analysis”
This chapter discusses the concepts of statistical analysis with regard to hypothesis testing. The chapter also identifies and defines common statistical terminology.

Polit, D. (2010). Statistics and data analysis for nursing research (2nd ed.). Upper Saddle River, NJ: Pearson Education Inc.

Chapter 1, “Introduction to Data Analysis in an Evidence-Based Practice Environment”
This chapter provides an introduction to quantitative and qualitative data in evidence-based practice. The chapter introduces levels of measurement and types of statistical analyses relevant to different types of research studies.

Chapter 2, “Frequency Distributions: Tabulating and Displaying Data”
Chapter 2 discusses frequency distributions as well as the different methods of presenting data, especially when data are very extensive. The chapter includes information on the use of bar charts, pie charts, histograms, and frequency polygons.

Chapter 3, “Central Tendency, Variability, and Relative Standing”
This chapter examines the many ways data distribution for a quantitative variable can be described through shape, central tendency, and variability.

Software

IBM SPSS Statistics Standard GradPack (current version). Available in Windows and Macintosh versions. Please refer to the IBM SPSS Software area in the Course Overview section on the left navigation bar for more information on how to install, register, and license this software.

Optional Resources

Bilheimer, L. T., & Klein, R. J. (2010). Data and measurement issues in the analysis of health disparities. Health Services Research, 45(5), 1489–1507. doi:10.1111/j.1475-6773.2010.01143.x

Granberg-Rademacker, J. S. (2010). An algorithm for converting ordinal scale measurement data to interval/ratio scale. Educational & Psychological Measurement, 70(1), 74–90.

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