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Healthcare and Nursing

Medicare eligible: all

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A​‌‍‍‍‌‍‌‍‍‍‌‌‌‍‌‌‌‌‌‌​ssignment Criteria:
For the HIT Report, address the following dataset query from your workplace:
1. Query: Using the latest year’s available data, is there a difference in the prevalence of heart failure for selected populations (White, Black, Hispanic, Asian/Pacific Islander, American Indian/Alaskan Native, and Other) for Florida’s Medicare recipients compared with the national prevalence of heart failure for these six populations of Medicare recipients?
2. Search the CMS MMD dataset by following these steps. You will conduct six searches for data by only changing the race/ethnic parameters (White, Black, Hispanic, Asian/Pacific Islander, American Indian/Alaskan Native, and Other). Data from each search will be presented in a downloadable spreadsheet showing data for all states and the comparison to the
nation. You will locate in the dataset the record (a row in the spreadsheet table) for Florida and then move across the row to find the comparison prevalence data for the nation.
Getting started:
a. Visit the CMS Medicare Mapping Disparities page
b. Choose the Population tab at top. From the Get Started box, select “GO” to begin your first search of the dataset.
c. From the drop-down boxes which are dataset fields, choose the following parameters. Note that the comparison group is the nation and the national parameters in the search must match those set for the state.
Dataset Fields: Search Parameters
Year: most recent single year of data available at the time you complete this
assignment
Geography: State Territory
Measure: Prevalence
Adjustment: Unsmoothed Actual
Analysis: Difference from National Average
Domain: Primary Chronic Conditions
Condition: Heart Failure
Sex: All
Age: All
Race and Ethnicity: White (and then change this population to
Black, Hispanic, Asian/Pacific Islander, American
Indian/Alaskan Native, and Other)
Dual Eligible: Medicare Only
Medicare Eligible: All
Comparison Sex: All
Comparison Age: All
Comparison Race and Ethnicity: White (and then change this population to
Black, Hispanic, Asian/Pacific Islander, American
Indian/Alaskan Native, and Other)
Comparison Dual Eligible: Medicare Only
Comparison Medicare Eligibility: All
3. Extract the relevant data from each of the spreadsheets and construct one spreadsheet using MS Excel. Present the raw
prevalence data (White, Black, Hispanic, Asian/Pacific Islander, American Indian/Alaskan Native, and Other ) in a table
format with headers and formulas to determine and show the differences in state and national prevalence and averages. See
the course module for an example of a final spreadsheet.
These are the 5 fields (sex through
Medicare eligible) and parameters for the
state’s data.
These are the 5 comparison fields and
parameters for the national data;
national parameters must match state
parameters. You only need to ch​‌‍‍‍‌‍‌‍‍‍‌‌‌‍‌‌‌‌‌‌​ange
the race and ethnicity parameter in
each of the 6 searches.
American
Indian/Alaskan Native, and
Other
These are the parameters for the state
4. Transform the data from the spreadsheet and create two charts: an Excel line chart and a bar chart using the spreadsheet’s raw data
table. Utilize color to showcase the findings. Review the literature to determine whether a line or bar chart is appropriate for presenting prevalence data. Cite a source to support your choice of chart.
5. Generate the HIT Report document that will include your analyses, a copy of your Excel spreadsheet and one preferred selected chart. For your analyses include the following:
a. Intro to the paper and brief overview of heart failure prevalence in the United States as a population health problem. Cite sources.
b. Answer the dataset query by reporting a summary of findings from the Excel table and selected chart. Your selection of a chart should present the data most clearly and be best practice for showing prevalence data. Cite sources. Include the table and selected chart within the text or as appendices per APA 7th edition format.
c. Analyze the table and your chart for trends and presence of health disparities among the races/ethnicities. Cite sources.
d. As the DNP leading this report, propose one additional source of data to be collected and tracked in the EHR. Generate a new dataset query question that includes this additional source of data. Cite sources.
e. Propose one specific evidence-based recommendation/strategy to the workplace that could improve health outcomes for
Florida’s Medicare heart failure patients (choose one specific race/ethnicity, gender, or age). The recommendation should be supported by evidence from the current literature. Cite one or more sources.
e. End the paper with a brief conclusion explaining the relevance of using HIT databases/datasets such as the CMS MMD to generate information and knowledge for clinical practice. Cite a source.
6. The scholarly paper should be in narrative format, 5 to 6 pages excluding the title and reference pages.
7. Include an introductory paragraph with a purpose statement and a conclusion.
8. Utilize level 1 and 2 headings to organize the paper.
9. Write the paper in third person, not first person (meaning do not use ‘we’ or ‘I’) and in a scholarly manner. To clarify: “I, we, you, me, and our” may not be used. In addition, describing yourself as the researcher or the author should not be used.
10. Include a minimum of five professional peer-reviewed scholarly journal references to support the paper (review in Ulrich Periodical Directory) and be less than five (5) years old. Cite the CMS MMD dataset as a reference and to support tables/charts.
11. APA7th edition format required (attention to spelling/grammar, a title page, direct quotes, a reference page, table/chart formatting​‌‍‍‍‌‍‌‍‍‍‌‌‌‍‌‌‌‌‌‌​,
and in-text citations).

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