HLT-362V Applied Statistics for Health Care Professionals Essay Assignment paper
HLT-362V Applied Statistics for Health Care Professionals Essay Assignment paper
HLT-362V Applied Statistics for Health Care Professionals Essay Assignment paper
HLT-362V Applied Statistics for Health Care Professionals
Topic 1: What Is Statistics and Why It Is Important to Health Sciences?
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Objectives:
- Describe an example of each type of measurement: nominal, ordinal, interval, ratio.
- Define basic statistical terms.
- Explain the historical application of statistics.
- Describe the application of statistics in health care quality, safety, health promotion, and leadership.
Description:
Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:
- Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
- Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.
Three peer-reviewed, scholarly or professional references are required.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
Topic 1 DQ 1
Description:
Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale’s contributions, where statistical application has greatly influenced or changed health care operations or practice.
Topic 1 DQ 2
Description:
Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.
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Topic 2: Population and Sampling Distributions
Description
Objectives:
- Identify examples of descriptive and inferential statistics.
- Describe strategies for selecting a sample from a population.
- Identify key questions you will ask/answer when reading a research study.
Description:
The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5.
For this assignment:
Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the “Article Analysis 1” template.
Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article Analysis Example 1,” for an example of an article analysis.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
Topic 2 DQ 1
Description:
Select a research article, other than the articles from your assignments, from the GCU library. Provide an overview of the study and describe the strategy that was used to select the sample from the population. Evaluate the effectiveness of the sampling method selected. Provide support for your answer. Include the article title and permalink in your post.
Topic 2 DQ 2
Description:
Using the research article selected for DQ 1, identify three key questions you will ask and answer when reading the research study and why these questions are important. When responding to peers, provide other questions and answers that could be considered in relation to the peers’ studies.
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Topic 3: Clinical Inquiry and Hypothesis Testing
Objectives:
- Evaluate hypothesis testing approaches and their application to health care.
- Define dependent and independent variables and their role in hypothesis testing.
- Describe evidence used to “reject “or “do not reject” the null hypothesis.
- Evaluate the relationship between hypothesis testing and confidence intervals
Description:
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.
Complete an article analysis for each using the “Article Analysis: Part 2” template.
Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article Analysis Example 2,” for an example of an article analysis.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
Topic 3 DQ 1
Description:
Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.
Topic 3 DQ 2
Description:
Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research. Provide a workplace example that illustrates your ideas.
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Topic 4: Statistical Analysis
Objectives:
- Differentiate among experimental research, quasi-experimental, and nonexperimental research.
- Identify key differences between qualitative and quantitative research.
- Differentiate between research and quality improvement.
Description:
Identify a quality improvement opportunity in your organization or practice. In a 1,250-1,500 word paper, describe the problem or issue and propose a quality improvement initiative based on evidence-based practice. Apply “The Road to Evidence-Based Practice” process, illustrated in Chapter 4 of your textbook, to create your proposal.
Include the following:
- Provide an overview of the problem and the setting in which the problem or issue occurs.
- Explain why a quality improvement initiative is needed in this area and the expected outcome.
- Discuss how the results of previous research demonstrate support for the quality improvement initiative and its projected outcomes. Include a minimum of three peer-reviewed sources published within the last 5 years, not included in the course materials or textbook, that establish evidence in support of the quality improvement proposed.
- Discuss steps necessary to implement the quality improvement initiative. Provide evidence and rationale to support your answer.
- Explain how the quality improvement initiative will be evaluated to determine whether there was improvement.
- Support your explanation by identifying the variables, hypothesis test, and statistical test that you would need to prove that the quality improvement initiative succeeded.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
Topic 4 DQ 1
Description:
Provide an example of experimental, quasi-experimental, and nonexperimental research from the GCU Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided
Topic 4 DQ 2
Description:
Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is applied and how it was used within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.
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Topic 5: Discovering Relationships and Building Models
Objectives:
- Analyze a specified data set.
- Describe how data influences epidemiological practices.
- Evaluate data analyzed from research articles using different types of variables.
Article Analysis and Evaluation of Research Ethics
Description:
Search the GCU Library and find one new health care article that uses quantitative research. Do not use an article from a previous assignment, or that appears in the Topic Materials or textbook.
Complete an article analysis and ethics evaluation of the research using the “Article Analysis and Evaluation of Research Ethics” template. See Chapter 5 of your textbook as needed, for assistance.
Summary and Descriptive Statistics
Description:
There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often informs health care professionals towards research, treatment options, or patient education.
Using the data on the “National Cancer Institute Data” Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.
Provide the following descriptive statistics:
- Measures of Central Tendency: Mean, Median, and Mode
- Measures of Variation: Variance, Standard Deviation, and Range (a formula is not needed for Range).
- Once the data is calculated, provide a 150-250 word analysis of the descriptive statistics on the spreadsheet. This should include differences and health outcomes between groups.
APA style is not required, but solid academic writingis expected.
Topic 5 DQ 1
Description:
Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.
Topic 5 DQ 2
Description:
Discuss ways your organization uses technology to gather patient and health care information, and how this information and data are used to direct patient care and outcomes.
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