discussion 1—
In order to apply health care quality concepts to a health care issue or a facility using the measurement-related concept of structure, process, or outcome, it is necessary to understand that the three complement each other. In other words, one is not more important than the other. Criteria and standards are essential to evaluating the three. A criterion is typically evidence driven and based on efficacy. Standards should be set at a minimal, ideal, or achievable level to meet the goals behind specific quality of care evaluations.
For this Discussion, you will select a health care quality concept; apply that concept to a real health care issue; identify the issue as structure, process, or outcome; and apply it to the Six Quality Dimensions you read about in
Crossing the Quality Chasm
.
Post
a cohesive response to the following:
Describe the health care quality concept you selected. Apply it to a health care issue in your health care facility or one you are familiar with. Identify the issue as a structure, process, or outcome and explain why you made this differentiation. Then apply it to the Six Quality Dimensions found in
Crossing the Quality Chasm
.
discussion 2–
Strategic objectives, also called strategic priorities or grand strategies, are high-level organizational goals that are typically accomplished over a period of three to five years. Health care organizations often have four to five strategic objectives at any given time. To accomplish these strategic objectives, organizations develop measurable operational (department level) and tactical (units or individual level) objectives. For this Discussion, you examine the strategic objectives of your health care organization and consider how to accomplish them through operational and tactical objectives.
Review the implementation phase of the strategic planning process
Locate and review your health care organization’s strategic objectives.
Note:
If you do not currently work for a health care organization, select one that is of interest to you.
Consider how you might help the organization accomplish these objectives through operational and tactical objectives.
Analyze the strategic objectives of your selected health care organization. Formulate operational and tactical objectives to help the organization achieve its strategic objectives. Support your response by identifying and explaining key points and/or examples presented in the Learning Resources.
discussion 3…
Variations, too much or too little in health care, are an indication of poor quality in medical practice and often raise questions about the quality and efficiency of the use and allocations of resources, and they have important implications for health care and health policy.
In this Discussion, you will conduct an evaluation of the variation of issues affecting Medicare reimbursements to determine warranted or unwarranted variations. You will provide an analysis of those variation issues that may affect reimbursements and recommend ways to overcome the issue(s).
To prepare:
Read/review
the Dartmouth Atlas Data document, containing key statistics per state, and the Learning Resources related to variations in quality in medical practices.
Dartmouth Atlas Data document (Excel spreadsheet)
Note:
For this Discussion you are required to complete your initial post before you will be able to view and respond to your colleague’s postings. Begin by clicking on the “Post to Discussion†link and then select “Create Thread†to complete your initial post. Remember, once you click submit, you cannot delete or edit your own posts, and cannot post anonymously. Please check your post carefully before clicking
Submit!
The Discussion:
In an attempt to figure out why there is a tremendous difference between Medicare reimbursements between states, data were pulled from the top and the bottom of the list that include the following information adjusted for price, age, sex, and race. The 90th percentile group is at or above $10,578, and the 10th percentile group is at or below $7,497.
By Day 3
Post
a cohesive response to the following:
Using the Excel spreadsheet (Dartmouth Atlas) and other Resources for the week, post your analysis of the variation issues that may affect diverse Medicare reimbursements and why. Recommend strategies for overcoming the issues.
Note:
Local governmental differences are not a valid reason.
Dartmouth Atlas Data
Column1 Column2
Column3
Dartmouth Top and Bottom 10% updated
Column4
Column5
90th percentile
Florida
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
885.164
Female
1.080.658
Overall
1.965.822
Medicare Enrollees, by Race (2012)
Black
122.149
Non-Black
1.843.673
Overall
1.965.822
Mean income 45,040
% below poverty level 10%
Alaska
Kentucky
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
206.420
Female
267.587
Overall
474.007
Medicare Enrollees, by Race (2012)
Black
21.207
Non-Black
452.800
Overall
474.007
Mean income 41,724
% below poverty level 7.2%
Hawaii
Missippi
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
144.051
Female
192.760
Overall
336.811
Medicare Enrollees, by Race (2012)
Black
73.027
Non-Black
263.784
Overall
336.811
Mean income 37,095
% below poverty level 13.5%
Vermont
Texas
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
908.281
Female
1.122.606
Overall
2.030.887
Oregon
Medicare Enrollees, by Race (2012)
Black
151.264
Non-Black
1.879.623
Overall
2.030.887
Mean income 50740
% below poverty level 11.4%
Montana
Household income is
for all people in the
State
The percent below
poverty is for those
65+ yrs of age
s Data
Column6
Column7
10th percentile
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
Female
Overall
Medicare Enrollees, by Race (2012)
Black
Non-Black
Overall
Mean income 67,712
% below poverty level 6.3%
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
Female
Overall
Medicare Enrollees, by Race (2012)
Black
Non-Black
Overall
Mean income 66,259
% below poverty level 8.2%
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
Female
Overall
Medicare Enrollees, by Race (2012)
Black
Non-Black
Overall
Mean income 52,977
% below poverty level 7.0%
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
Female
Overall
29.327
29.495
58.822
1.218
57.604
58.822
51.077
58.580
109.657
886
108.771
109.657
40.115
48.885
89.000
229
88.771
89.000
150.808
161.680
312.488
Medicare Enrollees, by Race (2012)
Black
Non-Black
Overall
Mean income 49,161
% below poverty level 7.4
Key Statistics
Medicare Enrollees, by Gender (2012)
Male
Female
Overall
Medicare Enrollees, by Race (2012)
Black
Non-Black
Overall
Mean income 45,076
% below poverty level 8.1%
Income from Dartmouth Atlas Poverty Rate from U.S. Census
Bureau data for 2012 for
comparison
2.509
309.979
312.488
59.912
65.978
125.890
189
125.701
125.890
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