Presenting Statistical Results for Decision Making

Presenting Statistical Results for Decision Making

Hospital-acquired conditions (HACs) entail a list of diseases linked to the onset of illnesses after hospitalization. HAC is a significant health sector problem that can lead to high costs in healthcare facilities and their management (Salmond & Echevarria, 2017). However, it is essential to note that HACs can be prevented. The main areas of concern regarding HAC are public health and patient safety. Healthcare facilities must strive to minimize infections among hospitalized patients. Poor management of patients can affect timeliness, quality, and associated costs of care provision. An organization’s reputation can also be affected significantly if cases of HACs increase over time. The current statistical analysis tried to identify the areas Antony Medical Center could improve to prevent HACs. We offer assignment help with high professionalism.

Correlation

The following are the correlation results from the statistical analysis that was completed:

	HAC_Rate	Nursing_HPPD	Skill_Mix	ALSO
HAC_Rate	1
Nursing_HPPD	-0.799400102	1
Skill_Mix	-0.304808429	0.4617178	1
ALOS	0.417162987	-0.312434971	-0.133376169	1

These correlation results indicate negative correlations between Nursing HPPD and HAC Rate and Skill Mix and HAC Rate. These show that a decrease in nursing HPPD and Skill Mix is associated with increased HAC rates. The average length of stay has a positive correlation with HAC Rate. Therefore, whenever the average size of stay increases, the HAC Rate also increases. The results also indicate that there is better interaction among the nursing staff.

Consequently, it would be easier for them to raise issues regarding healthcare delivery and have them addressed to reduce HACs. The nursing or medical staff must raise issues or concerns regarding patient health and safety. This will ensure that action will be taken immediately to mitigate any risks.

Descriptive Statistics

The descriptive statistics from the analysis were used to describe and examine the various data sets reviewed by Antony Medical Center, including HAC rates, Nursing HPPD, Skill Mix, and the average length of stay. Descriptive statistics provides a range of statistics, including mean, median, standard deviation, minimums, maximums, and content. The average HAC rate for an average of 1,000 discharges within the hospital is 117. The minimum HAC rate is 106, while the maximum rate is 126. The average length of stay in the hospital is six hours. The previous positive correlation has identified HAC rate and ALOS as critical variables. With fewer ALOS, there are fewer HAC instances. The descriptive statistics are as follows:

HAC_Rate		Nursing_HPPD		Skill_Mix		ALSO
Mean	117.1578947	Mean	3.943178947	Mean	59.92989474	Mean	6.669494737
Standard Error	0.502026306	Standard Error	0.100927519	Standard Error	0.099670622	Standard Error	0.138704512
Median	118	Median	4.006	Median	59.99	Median	6.682
Mode	119	Mode	4.006	Mode	60.26	Mode	5.812
Standard Deviation	4.893147161	Standard Deviation	0.983719775	Standard Deviation	0.971469051	Standard Deviation	1.351924349
Sample Variance	23.94288914	Sample Variance	0.967704595	Sample Variance	0.943752116	Sample Variance	1.827699444
Kurtosis	-0.30555851	Kurtosis	0.064807972	Kurtosis	-0.13681883	Kurtosis	-0.490963757
Skewness	-0.567810177	Skewness	-0.005149876	Skewness	0.26791489	Skewness	0.034698395
Range	20	Range	5.091	Range	4.46	Range	5.611
Minimum	106	Minimum	1.628	Minimum	58.07	Minimum	4.017
Maximum	126	Maximum	6.719	Maximum	62.53	Maximum	9.628
Sum	11130	Sum	374.602	Sum	5693.34	Sum	633.602
Count	95	Count	95	Count	95	Count	95
Confidence Level (95.0%)	0.996784999	Confidence Level (95.0%)	0.200393956	Confidence Level (95.0%)	0.197898356	Confidence Level (95.0%)	0.275401059

Other statistics, including the histogram and regression analysis, confirm the need to reduce HAC at Antony Medical Center. Both statistics indicate that an increased average length of stay within the hospital is associated with increased instances of HACs. Other healthcare facilities face the same problem, which calls for a collaborative effort to combat existing barriers, change mindsets, and modify the facilities’ behaviors. The leadership at various healthcare organizations is vital in implementing changes at their facilities. Healthcare facilities can design and implement new programs that would minimize HACs.

References

Salmond, S. W., & Echevarria, M. (2017). Healthcare transformation and changing roles for nursing. Orthopaedic Nursing, 36(1), 12–25. https://doi.org/10.1097/nor.0000000000000308

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Translating analytic results into precise, concise, and actionable results is a vital skill for healthcare administrators. Because decision-making is increasingly data-driven and evidence-based, managers must frequently present statistical results to leadership formally. Sometimes, decision-makers differ in how well they comprehend the information being delivered. As a healthcare professional, you must know how to distill and synthesize data analytics and present complex concepts to pursue value, quality, and safety. You must communicate the results of your team’s data analysis, which is 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 transparent and explicit can significantly 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 healthcare recommendations.

Overview & 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 healthcare recommendations.
Instructions
This assessment has two deliverables:

Prepare an 8–10 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.e
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 contain your speaking audio. 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 you can refer to as you register. This professional best practice will help you prepare for your presentation and clarify any insufficient or unclear audio in your recording.
Write a 2–4 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 summary.

Grading Criteria
The numbered assessment instructions below correspond to the grading criteria in the Presenting Statistical Results for Decision-Making Scoring Guide, so address each point. You may also want to review the performance-level descriptions for each bar to see how your work will be assessed.

Evaluate the data collection, measurement, and analysis tools and techniques used in the data analysis.
Interpret statistical results used in the data analysis.
Present statistical results in the data analysis to support a health care recommendation.
Recommend a solution based on the results of the data analysis.
Use media and technology to convey ideas and information.
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
Additional Requirements
Your executive summary should meet the following requirements:

Written communication: Write accurately and professionally, incorporating sources appropriately.
Length: 2–4 pages.
Resources: Include sources where appropriate within the template, reference list, and the last page.
APA format: Cite your sources using the current APA format.
Font and font size: Times Roman, 10 point
Competencies Measured
By completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

Competency 1: Plan for data collection, measurement, and analysis.
Evaluate the data collection, size, 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 in the data analysis to support a health care recommendation.
Recommended solution based on the 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 grammar, punctuation, spelling, and APA style.
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.