infectious disease

Running head: PROJECT PHASE 1 – SCENARIO 2 0

Project Phase 1 – Scenario 2

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Project Phase 1 – Scenario 2

G310 Advanced Statistics and Analytics – Option 2

Introduction:

As a healthcare professional, you will work to improve and maintain the health of individuals, families, and communities in various settings. Basic statistical analysis can be used to gain an understanding of current problems. Understanding the current situation is the first step in discovering where an opportunity for improvement exists. This course project will assist you in applying basic statistical principles to a fictional scenario in order to impact the health and wellbeing of the clients being served.

This assignment will be completed in phases throughout the quarter. As you gain additional knowledge through the didactic portion of this course, you will be able to apply your new knowledge to this project. You will receive formative feedback from your instructor on each submission. The final project will be due on week 5.

Scenario:

You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager and together you work to use statistical analysis to look more closely at the ages of these patients. You do some research and put together a spreadsheet of the data that contains the following information:

Client number
Infection Disease Status
Age of the patient

You need the preliminary findings immediately so that you can start treating these patients. So let’s get to work!!!!

Background information on the Data:

The data set consists of 60 patients that have the infectious disease with ages ranging from 35 years of age to 76 years of age for NCLEX Memorial Hospital. Remember this assignment will be completed over the duration of the course.

To begin lets learn what infectious disease is. Infectious diseases are caused by pathogenic microorganisms, which are bacteria, viruses, parasites or fungi; the diseases can be spread directly or indirectly, through one person to another (WHO, 2017).

This scenario will aim to improve the quality of healthcare services that are provided to individuals, families, and communities at different levels of age. Therefore, the project utilized at NCLEX Memorial Hospital, over the past few days has seen a larger level of infectious disease occurrences. The data set composed was for sixty patients ranging in age from thirty-five to seventy-six.

a) Qualitative infectious: Disease

b) Quantitative: Age

2) Age is a constant variable as it may take any value.

3) A variable is any quantity that can be measured and whose value differs through the

Population and here we see the level of measurement s the age.

a) These measures of center are vital as it analyzes all the data provided in a particular set to understand and the approximate a middle value or average.

b) Variation is defined to mean, range or dispersion to differentiate it from systematic trends or differences. Measurers of variation are either property of a probability distribution or sample estimates of them. While, the range of a data set is among the biggest and littlest value.

5) Mean – 61.82

Median – 61.50

Mode – 69.00

Midrange – 58.00 76 35

Range – 41.00

Variance – 79.64

Standard Deviation- 8.30

By studying the data set we see that patients after the particular age over fifty and more likely over the ages of sixty, to be commonly affected by infectious diseases (Everitt & Skrondal, 2012). Therefore, there should be a prevention plan put in place to lower the amount of infected or more likely to be affected by different viruses.

References

WHO, (2017). Infectious Diseases.

Retrieved from, http://www.who.int/topics/infectious_diseases/en/

Everitt, B.S., & Skrondal, A., (2010). The Cambridge Dictionary of Statistics. 4th Ed.

Retrieved from, http://www.stewartschultz.com/statistics/books/Cambridge%20Dictionary%20Statistics%204th.pdf