This document provides definitions and data for variables related to hospital performance including the hospital-acquired condition rate (HAC_Rate), nursing hours per patient day (Nursing_HPPD), nursing skill mix (Skill_Mix), and average length of stay (ALOS). Correlation and descriptive statistics are also presented for these variables. The summary recommends presenting these statistical results to health system leadership in an 8-slide PowerPoint presentation with recommendations and a 2-page executive summary for additional context. The presentation and summary should clearly communicate the findings to support evidence-based decision making.
1. AssumptionsVariable
NameDescriptionDefinitionHAC_RateHospital-acquired
condition rateNumber of hospital-acquired conditions (HAC)
per 1,000 discharges; measures extent of hospital
errorsNursing_HPPDNursing hours per patient dayNumber of
nursing staff hours per patient day (HPPD); measures nurse
staffing levelSkill_MixNursing skill mixPercentage of nursing
staff hours provided by Registered Nurses (RN); measures skill
mix of nursing staffALOSAverage length of stayNumber of
inpatient days per hospital discharge; measures hospital
efficiencyFinancial Assumptions:Hospital
discharges10,000Nursing cost per year$72,000Average of RN
and LPN nursing cost; cost includes salary, benefits, and
overheadRN cost per year$85,000LPN cost per
year$52,000Hospital cost per inpatient day$2,600Hospital
penalty per HAC$5,700
DataHAC_RateNursing_HPPDSkill_MixALOS1085.01760.224.0
171065.05760.684.0571124.18459.994.1841164.20258.825.2021
076.24962.534.2491193.31558.924.3151095.40160.694.4011164
.41859.85.4181153.53258.944.5321193.62659.245.6261144.629
61.154.6291134.66260.674.6621193.68159.745.6811144.70359.
774.7031066.71960.264.7191154.81260.65.8121075.82462.254.
8241114.85760.454.8571174.06259.57.0621144.15358.745.1531
154.20460.085.2041115.31160.885.3111164.36160.435.3611203
.73360.35.7331202.7761.35.771203.80258.345.8021202.81261.
125.8121133.93358.865.9331074.95560.395.9551164.00660.476
.0061184.00660.276.0061184.02461.486.0241222.159.166.1118
4.10459.636.1041193.17659.056.1761252.1858.956.181154.216
60.516.2161192.27558.166.2751105.28260.126.2821204.30459.
796.3041194.36759.266.3671212.45659.436.4561234.50460.546
.5041193.50959.816.5091144.54559.616.5451232.56559.316.56
51222.6259.886.621234.6461.386.641232.68258.626.6821223.7
4158.676.7411213.87860.016.8781213.88158.316.8811192.8915
8.276.8911213.90959.486.9091222.97160.316.9711203.9959.76
4. Error1.2352597906Observations95ANOVAdfSSMSFSignificanc
e
FRegression129.898139968329.898139968319.59420110720.00
00260411Residual93141.9056077791.5258667503Total94171.8
037477474CoefficientsStandard Errort StatP-valueLower
95%Upper 95%Lower 95.0%Upper 95.0%Intercept-
6.83385264493.0531780402-2.23827518570.0275893689-
12.8968591367-0.770846153-12.8968591367-
0.770846153HAC_Rate0.11525768210.02603790874.426533757
60.00002604110.06355155560.16696380850.06355155560.1669
638085Dependent variable: ALOS
Presenting Statistical Results for Decision Making
Create an 8 slide PowerPoint presentation about the statistical
results with recommendations to health system leadership and a
2-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.
.
5. Asssessment Instructions
Preparation
Complete the following simulation:
. 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.
http://media.capella.edu/CourseMedia/mhafp5017element17931/
wrapper.asp
Instructions
This assessment has two deliverables:
Prepare an 8-slide PowerPoint presentation about the statistical
results with recommendations to health system leadership.
. Ensure the slides graphically communicate the findings.
. Ensure your presentation is relevant to and easily
understood by everyone in the audience.
. Be sure your written communication is free of errors that
detract from the overall message
. Include an APA-formatted references slide at the end of the
presentation.
· 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.
. 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.
Write a 2 page executive summary to accompany the
PowerPoint presentation that provides additional context to the
results of data analysis.
· Include APA-formatted in-text citations where appropriate.
Submit the recording of your presentation and the executive
6. 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
performance-level 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:
· 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