MHA-FP5017 Assignment 4- Presenting Statistical Results for Decision Making

Vila Health ® ActivityPresenting Statistical Results for Decision MakingIntroductionYour OfficeStakeholder InterviewsEmail ResponseConclusionIntroductionAt any enterprise, statistical results can point the way to better decisions. This is especially true in health care, where trends or changes in patient care or results can have powerful effects on health care organizations — clinical effects, and financial effects. Knowing the facts about trends and changes is crucial to navigating them, which means that in many ways, statistical results are powerful tools.But they’re less powerful if nobody understands them. More often than not, stakeholders in health care organizations are not well versed in statistics or data analysis. Especially for these stakeholders, it’s critical to make careful choices about which numbers to include — and how to talk about those numbers. Doing so helps you to present statistical results in a way that’s understandable and actionable even for those with less data literacy.In this activity, you’ll have an opportunity to analyze a health trend at a large urban hospital, and to decide which results of the analysis are most important to communicate to the stakeholders concerned with it.Your OfficeYou are an analyst in the Quality Assurance department at St. Anthony Medical Center, a large hospital in Minneapolis, Minnesota. You have an email from David Brooks, the manager of Quality Assurance, in which he explains your next assignment.EmailFrom: David BrooksSubject: HACsHello! So I’m aware that you’re relatively new around here, but I’ve got to pull you in on an important project. Here’s the short version, and I can answer questions later if this isn’t enough background.Since you’re in health care, you must know that hospital-acquired conditions (HACs) are a big deal. Hospitals are designed from the ground up to minimize them, but the fact is that hospitals always have a lot of bugs floating around and that means they’re a constant danger. And while we try to minimize mistakes, health care professionals are human, and sometimes mistakes cause real problems.The hospital’s board is getting worked up about them again, because we’ve had some high-profile cases where a patient went home and had to be readmitted because of a mistake or an infection they picked up while they were here. They’re worried about PR, of course, but they’re worried about patient outcomes, and — of course — financial reimbursement and penalties, too.What I need you to do is start working on a presentation about HACs here, specifically as they relate to staffing levels and skill mix. That presentation should explain our recommendations to the board. You’ll want to include some statistics to bolster our case, so take a look at the AHRQ National Scorecard on Hospital-Acquired Conditions and the CMS Hospital-Acquired Conditions Reduction Program. Look at published research about the relationship between HACs and staffing levels, too.Let’s get this right; this is our chance to get the board to understand that HACs will go down if they do what we recommend.Go talk to Rick Susskind first; he’s our senior data analyst and he’s already been working on this. He has completed a data analysis on this, and he can explain what the variables are. You’ll have to talk to a few other people too, to get everything you need.DavidEmailFrom: Rick SuskindSubject: HAC DataHi! I got your message about the HAC question. I’ve attached a spreadsheet of the data analysis we’ve got on that.Here are a few variables that might be unclear:HAC_Rate: That’s the number of HACs per 1,000 discharges. You could say it’s the measure for the extent of hospital errors.Nursing_HPPD: That’s the number of nursing staff hours per patient day. It’s the hospital’s nurse staffing level.Skill_Mix: That’s obviously about skill mix, but specifically, it’s the percentage of nursing staff hours that are provided by registered nurses, as opposed to other professionals.ALOS: That stands for average length of stay; it’s the number of inpatient days per hospital discharge. It’s a measure of how efficient the hospital is.Let me know if you have other questions! Oh, you’ll need to find out how many discharges we have per year. I don’t know that, but Troy Holland, our vice president of patient services, will know.Attachment: HAC AnalysisStakeholder InterviewsTroy HollandVice President of Patient ServicesIt’s nice to meet you! Yep, I’ve got those discharge stats. I’m assuming you’re confining your analysis to the last full year? If so, the number of discharges for last year was 10,000. That includes both adult and pediatric discharges.What I don’t have is information about nurse staffing or costs. For those, you’ll want to talk to Jackie, the chief nursing officer.Jackie SandovalChief Nursing OfficerHello. I understand you need some data about our staff costs related to nursing. I’ve got three numbers for you.Our cost per nurse is $72,000. Now, that’s an average of nurses and registered nurses.Our cost per registered nurse is $85,000.Per licensed practical nurse, it’s $52,000. Those numbers include salary, benefits, and overhead.You had asked about some other costs, but I don’t have those. You’ll want to talk to the CFO, Owen Welch.Owen WelchChief Financial OfficerHey, I’ve only got a couple of minutes but here’s what you asked about: Our cost per inpatient day is $2,600, and the penalty per HAC is $5,700.Email ResponseIt looks like David has followed up with you about the data analysis project you’re working on. Review David’s latest message to you and send a reply with your initial thoughts.EmailFrom: David BrooksSubject: HACsThanks for doing all that running around. Now that you’ve got the data analysis you need, I’d like you to do some thinking about what results you’re going to include in the presentation. Remember, it’s the board, not a bunch of number geeks. You’ll want to give them the statistical results they need to make a decision, not just every bit of data we have.Write down a list of numbers you’re thinking about including in your presentation. We really need to make a data-driven recommendation to the board, and I’d really appreciate your expertise. Thanks!ReplySubject: RE: HACsThis message has not been composed yet.ConclusionIn this activity, you saw that while complicated analysis of data is an important step in guiding decisions at health care organizations, it’s not the only step. Decision makers need to understand how the data were collected, how variables are measured, and whether the analysis tools and techniques were appropriate.You also gathered necessary data for an analysis of HACs, nurse staffing levels, and skill mix, and did some pre-work on a presentation of the data analysis to the hospital’s board.

Assignment 4- Presenting Statistical Results for Decision Making
Overview
Create an 8–10-slide PowerPoint presentation about the statistical results
with recommendations to health system leadership and a 2–4-page
executive summary that provides additional context to the results of data
analysis.
The ability to translate analytic results into clear, concise, and actionable results
is a vital skill for health care administrators. Because decision making is
increasingly data-driven and evidence-based, managers are frequently required
to formally present statistical results to leadership. Sometimes, decision
makers differ as to how well they comprehend the information being delivered.
Your job as a health care professional is to know how to distill and synthesize
data analytics and present complex concepts in the pursuit of value, quality, and
safety. You must be able to clearly communicate the results of your team’s data
analysis that is both insightful and informative. How much your work is valued
can depend heavily on how well the results of that analysis are articulated.
Effectively communicating the results so the issues and recommendations are
clear and explicit can greatly enhance the value of your analytic work.
For this assessment, you will evaluate the approach of an analytics team and
interpret and present statistical results to support a health care recommendation.
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Competency 1: Plan for data collection, measurement, and analysis.
Evaluate the data collection, measurement, and analysis tools and techniques
used in the data analysis.
Competency 3: Interpret results of data analysis for value-based health care
decisions, policy, or practice.
Interpret statistical results used in the data analysis.
Competency 4: Present results of data analysis to support a decision or
recommendation.
Present statistical results used in the data analysis to support a health care
recommendation.
Recommend solution based on results of the data analysis.
Use media and technology to convey ideas and information.
Competency 5: Communicate audience-appropriate health management content in a
logically structured and concise manner, writing clearly with correct use of
grammar, punctuation, spelling, and APA style.
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
Resources
Evaluating Data Analysis
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Davenport, T. H. (2015, October 21). 5 essential principles for understanding
analytics. Harvard Business Review Digital Articles, 2–4.
Li, M. (2015, October 27). The two questions you need to ask your data
analysts. Harvard Business Review Digital Articles, 2–4.
Simpson, S. H. (2015). Creating a data analysis plan: What to consider when
choosing statistics for a study. Canadian Journal of Hospital Pharmacy, 68(4), 311–
317. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552232/
Communicating About Data
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Davenport, T. H. (2013, June 18). Data is worthless if you don’t communicate
it. Harvard Business Review Digital Articles, 2–3.
Presenting Analytic Results
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Presenting Analytics Results.
Sue, V. M., & Griffin, M. T. (2016). Data visualization & presentation with Microsoft
Office. Thousand Oaks, CA: Sage.
Chapter 10, “Creating Presentations.”
Reporting Statistics
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Darling, N. (2017). Reporting statistics in APA style. Retrieved from
https://www.psychologytoday.com/us/blog/thinking-aboutkids/201704/reporting-statistics-in-apa-style
Effective Presentations
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Theobald, T. (2016). Develop your presentation skills. London, UK: Kogan Page.
Faroult, S. (2016). Getting the message across: Using Slideware effectively in technical
presentations. New York, NY: Apress.
PowerPoint
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Capella University Library: PowerPoint Presentations.
Microsoft. (n.d.). Create a presentation in PowerPoint. Retrieved from
https://support.office.com/en-gb/article/create-a-presentation-in-powerpoint422250f8-5721-4cea-92cc-202fa7b89617
Assessment Instructions
Preparation
Complete the following simulation:
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Vila Health: Presenting Statistical Results for Decision Making. In this simulation,
you will evaluate, interpret, and present statistical results to support a health care
recommendation.
Instructions
This assessment has two deliverables:
1. Prepare an 8–10-slide PowerPoint presentation about the statistical results with
recommendations to health system leadership.
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Ensure the slides graphically communicate the findings.
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Ensure your presentation is relevant to and easily understood by everyone in the
audience.
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Be sure your written communication is free of errors that detract from the overall
message
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Include an APA-formatted references slide at the end of the presentation.
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Use Kaltura or similar software to record your presentation. The presentation
should last no more than 3 minutes, and it should contain audio of you speaking.
You may use alternative programs or technology, provided you can still create a
presentation with visuals and recorded audio.
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Before you begin recording, create a script, speaker notes, or a detailed outline that
you can refer to as you record. This professional best practice will help you prepare
for your presentation and serve to clarify any insufficient or unclear audio in your
recording.
2. Write a 2–4-page executive summary to accompany the PowerPoint
presentation that provides additional context to the results of data analysis.
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Include APA-formatted in-text citations where appropriate.
Submit the recording of your presentation and the executive summary.
Grading Criteria
The numbered assessment instructions outlined below correspond to the grading
criteria in the Presenting Statistical Results for Decision Making Scoring Guide,
so be sure to address each point. You may also want to review the performancelevel descriptions for each criterion to see how your work will be assessed.
1. Evaluate the data collection, measurement, and analysis tools and techniques used
in the data analysis.
2. Interpret statistical results used in the data analysis.
3. Present statistical results used in the data analysis to support a health care
recommendation.
4. Recommend solution based on results of the data analysis.
5. Use media and technology to convey ideas and information.
6. Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
Additional Requirements
Your executive summary should meet the following requirements:
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Written communication: Write clearly, accurately, and professionally, incorporating
sources appropriately.
Length: 2–4 pages.
Resources: Include sources where appropriate within the template, reference list
last page.
APA format: Cite your sources using current APA format.
Font and font size: Times Roman, 10 point
Variable Name
HAC_Rate
Nursing_HPPD
Skill_Mix
ALOS
Financial Assumptions:
Hospital discharges
Nursing cost per year
RN cost per year
LPN cost per year
Hospital cost per inpatient
day
Hospital penalty per HAC
Description
Definition
Hospital-acquired
condition rate
Nursing hours per
patient day
Number of hospital-acquired conditions (HAC) per 1,000
discharges; measures extent of hospital errors
Number of nursing staff hours per patient day (HPPD);
measures nurse staffing level
Percentage of nursing staff hours provided by
Registered Nurses (RN); measures skill mix of nursing
staff
Number of inpatient days per hospital discharge;
measures hospital efficiency
Nursing skill mix
Average length of
stay
10,000
Average of RN and LPN nursing cost; cost includes
$72,000 salary, benefits, and overhead
$85,000
$52,000
$2,600
$5,700
HAC_Rate Nursing_HPPD Skill_Mix ALOS
108
5.017
60.22
4.017
106
5.057
60.68
4.057
112
4.184
59.99
4.184
116
4.202
58.82
5.202
107
6.249
62.53
4.249
119
3.315
58.92
4.315
109
5.401
60.69
4.401
116
4.418
59.8
5.418
115
3.532
58.94
4.532
119
3.626
59.24
5.626
114
4.629
61.15
4.629
113
4.662
60.67
4.662
119
3.681
59.74
5.681
114
4.703
59.77
4.703
106
6.719
60.26
4.719
115
4.812
60.6
5.812
107
5.824
62.25
4.824
111
4.857
60.45
4.857
117
4.062
59.5
7.062
114
4.153
58.74
5.153
115
4.204
60.08
5.204
111
5.311
60.88
5.311
116
4.361
60.43
5.361
120
3.733
60.3
5.733
120
2.77
61.3
5.77
120
3.802
58.34
5.802
120
2.812
61.12
5.812
113
3.933
58.86
5.933
107
4.955
60.39
5.955
116
4.006
60.47
6.006
118
4.006
60.27
6.006
118
4.024
61.48
6.024
122
2.1
59.16
6.1
118
4.104
59.63
6.104
119
3.176
59.05
6.176
125
2.18
58.95
6.18
115
4.216
60.51
6.216
119
2.275
58.16
6.275
110
5.282
60.12
6.282
120
4.304
59.79
6.304
119
4.367
59.26
6.367
121
2.456
59.43
6.456
123
4.504
60.54
6.504
119
3.509
59.81
6.509
114
4.545
59.61
6.545
123
2.565
59.31
6.565
122
123
123
122
121
121
119
121
122
120
107
117
120
121
120
120
121
122
118
118
120
118
118
122
120
115
118
112
118
110
119
119
118
125
126
120
115
112
113
109
119
116
124
117
119
125
126
2.62
4.64
2.682
3.741
3.878
3.881
2.891
3.909
2.971
3.99
5.013
3.154
4.22
4.223
4.249
3.287
2.308
2.321
3.341
4.343
3.344
4.383
4.415
2.466
3.485
3.576
4.616
4.635
3.644
5.654
3.724
3.774
3.187
2.212
2.212
3.454
4.533
3.614
4.714
5.731
3.817
4.836
3.924
4.043
4.489
2.541
1.628
59.88
61.38
58.62
58.67
60.01
58.31
58.27
59.48
60.31
59.76
60.11
60.01
60.7
60.57
60.26
58.41
59.26
58.59
58.68
60.1
60.26
61.81
59.3
59.88
60.29
58.95
59.95
59.69
60.56
61.09
59.06
60.15
60.33
58.99
60.81
58.07
59.88
58.62
58.67
62.29
60.48
60.65
61.72
60.51
59.18
58.87
60.95
6.62
6.64
6.682
6.741
6.878
6.881
6.891
6.909
6.971
6.99
7.013
7.154
7.22
7.223
7.249
7.287
7.308
7.321
7.341
7.343
7.344
7.383
7.415
7.466
7.485
7.576
7.616
7.635
7.644
7.654
7.724
7.774
8.187
8.212
8.212
8.454
8.533
8.614
8.714
6.731
8.817
8.836
8.924
8.043
9.489
9.541
9.628
111
110
4.768
4.918
60.84
59.9
8.768
8.918
HAC_Rate
HAC_Rate
Nursing_HPPD
Skill_Mix
ALOS
1
-0.799400102
-0.304808429
0.417162987
Nursing_HPPD
Skill_Mix
1
0.4617178
1
-0.312434971 -0.133376169
ALOS
1
HAC_Rate
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Confidence Level(95.0%)
Nursing_HPPD
117.1578947
0.502026306
118
119
4.893147161
23.94288914
-0.30555851
-0.567810177
20
106
126
11130
95
0.996784999
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Confidence Level(95.0%)
3.943178947
0.100927519
4.006
4.006
0.983719775
0.967704595
0.064807972
-0.005149876
5.091
1.628
6.719
374.602
95
0.200393956
Skill_Mix
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Confidence Level(95.0%)
ALOS
59.92989474
0.099670622
59.99
60.26
0.971469051
0.943752116
-0.13681883
0.26791489
4.46
58.07
62.53
5693.34
95
0.197898356
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Confidence Level(95.0%)
6.669494737
0.138704512
6.682
5.812
1.351924349
1.827699444
-0.490963757
0.034698395
5.611
4.017
9.628
633.602
95
0.275401059
106
108.2222222
110.4444444
112.6666667
114.8888889
117.1111111
119.3333333
121.5555556
123.7777778
More
Frequency
2
5
5
6
7
14
22
18
10
6
Histogram
25
20
15
Frequency
Bin
10
5
0
106
108.2222222 110.4444444 112.6666667
Histogram of HAC_Rate
Frequency
112.6666667 114.8888889 117.1111111 119.3333333 121.5555556 123.7777778
Bin
More
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.802678891
R Square
0.644293402
Adjusted R Square
0.63656065
Standard Error
2.949879331
Observations
95
ANOVA
df
Regression
Residual
Total
Intercept
Nursing_HPPD
Skill_Mix
2
92
94
SS
1450.067077
800.5645022
2250.631579
MS
F
Significance F
725.0335384 83.32006396
2.2399E-21
8.701788068
Coefficients
Standard Error
t Stat
P-value
108.9131046
20.56372053 5.296371559 8.01413E-07
-4.163970655
0.348684101 -11.94195733
2.1004E-20
0.411548722
0.353081187 1.165592327 0.246792365
Dependent variable: HAC_Rate
Lower 95%
68.07178059
-4.856487377
-0.289700992
Upper 95%
Lower 95.0% Upper 95.0%
149.7544285 68.07178059 149.7544285
-3.471453933 -4.856487377 -3.471453933
1.112798436 -0.289700992 1.112798436
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.417162987
R Square
0.174024958
Adjusted R Square
0.165143506
Standard Error
1.235259791
Observations
95
ANOVA
df
Regression
Residual
Total
Intercept
HAC_Rate
1
93
94
SS
29.89813997
141.9056078
171.8037477
MS
F
Significance F
29.89813997 19.59420111
2.60411E-05
1.52586675
Coefficients
Standard Error
t Stat
P-value
-6.833852645
3.05317804 -2.238275186 0.027589369
0.115257682
0.026037909 4.426533758 2.60411E-05
Dependent variable: ALOS
Lower 95%
-12.89685914
0.063551556
Upper 95%
Lower 95.0% Upper 95.0%
-0.770846153 -12.89685914 -0.770846153
0.166963808 0.063551556 0.166963808
12/31/2019
Vila Health: Presenting Statistical Results for Decision Making
Vila Health ® Activity
Presenting Statistical Results
for Decision Making
Introduction
Your Office
Stakeholder Interviews
Email Response
Conclusion
Introduction
At any enterprise, statistical results can point the way to better decisions.
This is especially true in health care, where trends or changes in patient
care or results can have powerful effects on health care organizations —
clinical effects, and financial effects. Knowing the facts about trends and
changes is crucial to navigating them, which means that in many ways,
statistical results are powerful tools.
But they’re less powerful if nobody understands them. More often than
not, stakeholders in health care organizations are not well versed in
statistics or data analysis. Especially for these stakeholders, it’s critical to
make careful choices about which numbers to include — and how to talk
about those numbers. Doing so helps you to present statistical results in
a way that’s understandable and actionable even for those with less data
literacy.
In this activity, you’ll have an opportunity to analyze a health trend at a
large urban hospital, and to decide which results of the analysis are most
important to communicate to the stakeholders concerned with it.
Your Office
You are an analyst in the Quality Assurance department at St. Anthony
Medical Center, a large hospital in Minneapolis, Minnesota. You have an
email from David Brooks, the manager of Quality Assurance, in which he
media.capella.edu/CourseMedia/mhafp5017element17931/transcript.asp#introduction
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Vila Health: Presenting Statistical Results for Decision Making
explains your next assignment.
Email
From: David Brooks
Subject: HACs
Hello! So I’m aware that you’re relatively new around here, but I’ve got to
pull you in on an important project. Here’s the short version, and I can
answer questions later if this isn’t enough background.
Since you’re in health care, you must know that hospital-acquired
conditions (HACs) are a big deal. Hospitals are designed from the ground
up to minimize them, but the fact is that hospitals always have a lot of
bugs floating around and that means they’re a constant danger. And
while we try to minimize mistakes, health care professionals are human,
and sometimes mistakes cause real problems.
The hospital’s board is getting worked up about them again, because
we’ve had some high-profile cases where a patient went home and had
to be readmitted because of a mistake or an infection they picked up
while they were here. They’re worried about PR, of course, but they’re
worried about patient outcomes, and — of course — financial
reimbursement and penalties, too.
What I need you to do is start working on a presentation about HACs
here, specifically as they relate to staffing levels and skill mix. That
presentation should explain our recommendations to the board. You’ll
want to include some statistics to bolster our case, so take a look at the
AHRQ National Scorecard on Hospital-Acquired Conditions
(https://www.ahrq.gov/sites/default/files/wysiwyg/professionals/qualitypatient-safety/pfp/hacreport-2019.pdf) and the CMS Hospital-Acquired
Conditions Reduction Program
(https://www.cms.gov/medicare/medicare-fee-for-servicepayment/acuteinpatientpps/hac-reduction-program.html). Look at
published research about the relationship between HACs and staffing
levels, too.
Let’s get this right; this is our chance to get the board to understand that
HACs will go down if they do what we recommend.
Go talk to Rick Susskind first; he’s our senior data analyst and he’s already
been working on this. He has completed a data analysis on this, and he
can explain what the variables are. You’ll have to talk to a few other
people too, to get everything you need.
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Vila Health: Presenting Statistical Results for Decision Making
David
Email
From: Rick Suskind
Subject: HAC Data
Hi! I got your message about the HAC question. I’ve attached a
spreadsheet of the data analysis we’ve got on that.
Here are a few variables that might be unclear:
HAC_Rate: That’s the number of HACs per 1,000 discharges. You could
say it’s the measure for the extent of hospital errors.
Nursing_HPPD: That’s the number of nursing staff hours per patient day.
It’s the hospital’s nurse staffing level.
Skill_Mix: That’s obviously about skill mix, but specifically, it’s the
percentage of nursing staff hours that are provided by registered nurses,
as opposed to other professionals.
ALOS: That stands for average length of stay; it’s the number of inpatient
days per hospital discharge. It’s a measure of how efficient the hospital is.
Let me know if you have other questions! Oh, you’ll need to find out how
many discharges we have per year. I don’t know that, but Troy Holland,
our vice president of patient services, will know.
Attachment: HAC Analysis (downloads/HAC Analysis.xlsx)
Stakeholder Interviews
Troy Holland
Vice President of Patient Services
It’s nice to meet you! Yep, I’ve got those discharge stats. I’m assuming
you’re confining your analysis to the last full year? If so, the number of
discharges for last year was 10,000. That includes both adult and
pediatric discharges.
What I don’t have is information about nurse staffing or costs. For those,
you’ll want to talk to Jackie, the chief nursing officer.
media.capella.edu/CourseMedia/mhafp5017element17931/transcript.asp#introduction
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Vila Health: Presenting Statistical Results for Decision Making
Jackie Sandoval
Chief Nursing Officer
Hello. I understand you need some data about our staff costs related to
nursing. I’ve got three numbers for you.
Our cost per nurse is $72,000. Now, that’s an average of nurses and
registered nurses.
Our cost per registered nurse is $85,000.
Per licensed practical nurse, it’s $52,000. Those numbers include salary,
benefits, and overhead.
You had asked about some other costs, but I don’t have those. You’ll
want to talk to the CFO, Owen Welch.
Owen Welch
Chief Financial Officer
Hey, I’ve only got a couple of minutes but here’s what you asked about:
Our cost per inpatient day is $2,600, and the penalty per HAC is $5,700.
Email Response
It looks like David has followed up with you about the data analysis
project you’re working on. Review David’s latest message to you and
send a reply with your initial thoughts.
Email
From: David Brooks
Subject: HACs
Thanks for doing all that running around. Now that you’ve got the data
analysis you need, I’d like you to do some thinking about what results
you’re going to include in the presentation. Remember, it’s the board, not
a bunch of number geeks. You’ll want to give them the statistical results
they need to make a decision, not just every bit of data we have.
Write down a list of numbers you’re thinking about including in your
presentation. We really need to make a data-driven recommendation to
the board, and I’d really appreciate your expertise. Thanks!
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Vila Health: Presenting Statistical Results for Decision Making
Reply
Subject: RE: HACs
This message has not been composed yet.
Conclusion
In this activity, you saw that while complicated analysis of data is
an important step in guiding decisions at health care
organizations, it’s not the only step. Decision makers need to
understand how the data were collected, how variables are
measured, and whether the analysis tools and techniques were
appropriate.
You also gathered necessary data for an analysis of HACs, nurse staffing
levels, and skill mix, and did some pre-work on a presentation of the data
analysis to the hospital’s board.
Licensed under a Creative Commons Attribution 3.0 License
(https://creativecommons.org/licenses/by-nc-nd/3.0/)
media.capella.edu/CourseMedia/mhafp5017element17931/transcript.asp#introduction
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Presenting Statistical Results for Decision Making Scoring Guide
Presenting Statistical Results for Decision Making Scoring Guide
CRITERIA
NONPERFORMANCE
BASIC
PROFICIENT
DISTINGUISHED
Evaluate the data
collection,
measurement, and
analysis tools and
techniques used in
the data analysis.
Does not
evaluate the data
collection,
measurement,
and analysis
tools and
techniques used
in the data
analysis.
Evaluates the data
collection, measurement,
and analysis tools and
techniques used in the
data analysis but the
evaluation is incomplete
or contains errors.
Evaluates the
data collection,
measurement,
and analysis
tools and
techniques used
in the data
analysis.
Evaluates the data
collection, measurement,
and analysis tools and
techniques used in the
data analysis. Ensures the
evaluation is complete,
provides significant
details, and includes
assessment of strengths
and limitations.
Interpret statistical
results used in the
data analysis.
Does not
interpret
statistical results
used in the data
analysis.
Interprets statistical
results used in the data
analysis but the
interpretation is
incomplete, inaccurate,
or logically inconsistent
with the data.
Interprets
statistical results
used in the data
analysis.
Interprets statistical
results used in the data
analysis and ensures the
interpretation is complete,
provides a perceptive and
clearly articulated
conclusion, and includes
assessment of caveats
and limitations.
Present statistical
results used in the
data analysis to
support a health
care
recommendation.
Does not present
statistical results
used in the data
analysis to
support a health
care
recommendation.
Presents statistical
results used in the data
analysis to support a
health care
recommendation but the
presentation is
incomplete or contains
errors.
Presents
statistical results
used in the data
analysis to
support a health
care
recommendation.
Presents statistical results
used in the data analysis
to support a health care
recommendation. Ensures
the presentation describes
how results can help
managers support a
recommendation and
provides significant details
and justification for the
recommendation.
Recommend
solution based on
results of the data
analysis.
Does not
recommend
solution based
on results of the
data analysis.
Recommends solution
based on results of the
data analysis but the
solution is incomplete,
inaccurate, or logically
inconsistent with the
data.
Recommends
solution based
on results of the
data analysis.
Recommends solution
based on results of the
data analysis, which
includes practical,
administration-related
implications, is fully
justified, and is well
supported by scholarly
literature.
Use media and
technology to
convey ideas and
information.
Does not use
media and
technology to
convey ideas
and information.
Uses media and
technology to convey
ideas and information
but they are incomplete
or contain errors.
Uses media and
technology to
convey ideas
and information.
Uses media and
technology to convey
ideas and information.
Ensures the ideas and
information are well
organized and coherent,
and include appropriate
tables and visualizations.
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CRITERIA
Write clearly and
concisely, using
correct grammar,
mechanics, and
APA formatting.
Presenting Statistical Results for Decision Making Scoring Guide
NONPERFORMANCE
Does not write
clearly and
concisely, using
correct grammar,
mechanics, and
APA formatting.
BASIC
PROFICIENT
DISTINGUISHED
Writes in a manner that
is unclear and
disorganized, includes
errors in grammar and
mechanics that inhibit
effective communication,
or contains incorrect or
improperly formatted
source citations and
references.
Writes clearly
and concisely,
using correct
grammar,
mechanics, and
APA formatting.
Writes clearly and
concisely. Ensures
grammar, mechanics, and
APA formatting are error
free.
https://courserooma.capella.edu/bbcswebdav/institution/MHA-FP/MHA-FP5017/190700/Scoring_Guides/a04_scoring_guide.html
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