Statistical Application of Healthcare Discussion

Statistical Application of Healthcare Discussion

Statistical Application of Healthcare Discussion

Introduction

            Statistics is essential in healthcare. Medical professionals, administrators, and governmental leaders require health statistical data in different dimensions. Statistics can be used for policy creation, leadership, quality improvement, improvement of safety, and other related healthcare aspects. Hospitals need data to identify the major problems or areas of improvement to consider. Thus, this report outlines the application of statistics in healthcare and how the data can be used to improve the delivery of health services. Besides, the discussion focuses on specific health department that uses statistics for day-to-day operations.

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Application of Statistics in Health Care

            The main application of statistics in healthcare is to understand the prevalence and incidence of communicable diseases and public safety. Biostatistics has been used to identify the numbers associated with various pandemics. The most recent concept is finding the extent of the spread of coronavirus pandemic. COVID-19 started in Wuhan China but spread across the world due to movements. Through statistical analysis, the health stakeholders checked on the incident cases for each city to establish plans such as, vaccination, and treatment (O’Neill, 2021). The statistical information is also essential for providing guidelines for governments to make decisions on lockdown and social distancing. Thus, biostatistics is important in health and administrative leaders in making health policies.

            Statistics can also be used in healthcare to identify the patients’ needs and resource management. Hospitals have plans such as number of beds, inclusion of medical equipment, and stocking of drugs. However, they cannot plan these processes without statistical information about the number of patients that visit their facilities. For instance, before a hospital increases the number of beds in the intensive care unit, it must evaluate the prevalence and incidence of specific diseases (Goldstein, LeVasseur, & McClure, 2020). They create larger bed spaces when they experience high population struggling with diseases such as tuberculosis. The statistical details are essential for planning as they provide quality healthcare. They guide medical institutions to order for drug supplies to avoid shortage. Thus, statistics is a significant value to delivery of quality services.

            The third aspect is that healthcare applies statistics in providing guidelines on supporting patients in the therapeutic process. Healthcare data is necessary for undertaking plans for personalized care (Grisot, Moltubakk Kempton, Hagen, & Aanestad, 2019). For instance, doctors and nurses need to understand the challenges facing HIV patients at each level. Specifically, they know the number of CD4 counts for every stage and use the statistics to gauge the patients’ current situation. The same case applies to other chronic conditions such as cancer, diabetes, and cardiovascular disease. They can use patient’s health data to guide them on the appropriate exercises to consider. This approach helps in health promotion.

            The fourth application is the use of statistics to guide on evidence-based research and practice. Hospitals can use statistics to identify the policy changes required to improve healthcare delivery (Higginbotham & Satchidanand, 2019). For instance, hospital-associated infections mainly occur due to unchecked medical practices. However, nurses can use statistics such as infection rates and relate them to specific nursing practices to understand the practices to avoid. Hospitals can use this approach to improve quality of services offered while reducing the healthcare costs. Thus, health administrators can establish policies that would enable nurses to engage in evidence-based practices and enhance patient safety.

Importance of Statistics in Pharmacy Department

            The pharmacy department uses statistical knowledge in different aspects. The primary use of statistical knowledge is drug stocking. Stocking medical supplies, especially drugs require adequate understanding of data. As an intern in the department, we obtain data through doctors’ prescriptions given to patients. When patients seek outpatient services, we process all the prescriptions they receive. We record the data on specific drugs bought, sizes, and other related information. The data guides us to make decisions on how to stock more drugs. We also compare weekly statistics to understand when to stock more drugs than the others. In case there is a bacterial infection in our area of operation, we conduct emergency stocking of antibiotics. These aspects require continuous day-to-day analysis as we evaluate all the data about each drug and its supply chain processes.

Conclusion

            Healthcare facilities and other stakeholders use statistics for improving health services to the public. They can use data on prevalence and incidence to manage communicable diseases such as COVID-19 and cholera. The data can guide them on how to stop the spread, including making public policies to curb movements. Another application is the use of statistics in evidence-based research. Hospitals conduct research on specific practices to identify the appropriate processes to improve healthcare delivery. Besides, hospitals use statistics to manage resources such as number of beds and human resources. They can also use statistical data to identify the best practices to support patients with chronic health conditions.

References

Goldstein, N. D., LeVasseur, M. T., & McClure, L. A. (2020). On the convergence of epidemiology, biostatistics, and data science. Harvard Data Sci Rev.

Grisot, M., Moltubakk Kempton, A., Hagen, L., & Aanestad, M. (2019). Data-work for personalized care: Examining nurses’ practices in remote monitoring of chronic patients. Health informatics journal, 25(3), 608-616.

Higginbotham, J., & Satchidanand, A. (2019). From triangle to diamond: Recognizing and using data to inform our evidence-based practice. ASHA Journals: Academy. https://academy. pubs. asha. org/2019/04/from-triangle-to-diamond-recognizing-and-using-data-to-inform-our-evidence-based-practice.

O’Neill, R. T. (2021). Reacting to crises: The COVID-19 impact on biostatistics/epidemiology. Contemporary Clinical Trials, 102, 106214.

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Assessment Description
Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:
1. Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
2. Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.
Three peer-reviewed, scholarly or professional references are required.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

Criteria Description

Application of Statistics in Health Care (quality, safety, health promotion, leadership)

5. 5: Excellent

40 points

Application of statistics in health care is described in detail. The significance to quality, safety, health promotion, and leadership is described thoroughly for all criteria. Strong information and rationale is provided to fully illustrate the application of statistics, and its significance, to health care and the specific areas.

4. 4: Good

34 points

Application of statistics in health care is described. The significance to quality, safety, health promotion, and leadership is described for all criteria. Some minor information or rationale is needed to fully illustrate the application of statistics to health care and the specific areas.

3. 3: Satisfactory

30 points

Application of statistics in health care is generally described. The significance to quality, safety, health promotion, and leadership is generally described for all criteria. There are minor inaccuracies. More information or rationale is needed to fully illustrate the application of statistics overall.

2. 2: Less Than Satisfactory

26 points

Application of statistics in health care is summarized. The significance to quality, safety, health promotion, and leadership is partially presented. One or more criteria are missing. There are inaccuracies. Significant information or rationale is needed.

1. 1: Unsatisfactory

0 points

Application of statistics in health care is omitted or incomplete. The significance to quality safety, health promotion, and leadership is omitted.

collapse Application of Statistical Knowledge to Organization or Specialty Area assessment

Application of Statistical Knowledge to Organization or Specialty Area

30 points

Criteria Description

Application of Statistical Knowledge to Organization or Specialty Area

5. 5: Excellent

30 points

Application of statistical knowledge to organization or specialty area is thoroughly discussed. How statistical data are obtained, used in day-to-day operations, or applied in decision making is described in detail. The ability to understand and apply statistical data is clearly demonstrated.

4. 4: Good

25.5 points

Application of statistical knowledge to organization or specialty area is discussed. How statistical data are obtained, used in day-to-day operations, or applied in decision making is described. Some information or detail is needed for clarity.

3. 3: Satisfactory

22.5 points

Application of statistical knowledge to organization or specialty area is generally discussed. How statistical data are obtained, used in day-to-day operations, or applied in decision making is summarized. .

2. 2: Less Than Satisfactory

19.5 points

Application of statistical knowledge to organization or specialty area is summarized. How statistical data are obtained, used in day-to-day operations, and applied in decision is unclear; one criterion is missing. More information is needed.

1. 1: Unsatisfactory

0 points

Application of statistical knowledge to organization or specialty area is omitted. More than one criterion regarding how statistical data are obtained, used in day-to-day operations, or applied in decision making are omitted.

collapse Thesis Development and Purpose assessment

Thesis Development and Purpose

7 points

Criteria Description

Thesis Development and Purpose

5. 5: Excellent

7 points

Thesis is comprehensive and contains the essence of the paper. Thesis statement makes the purpose of the paper clear.

4. 4: Good

5.95 points

Thesis is clear and forecasts the development of the paper. Thesis is descriptive and reflective of the arguments and appropriate to the purpose.

3. 3: Satisfactory

5.25 points

Thesis is apparent and appropriate to purpose.

2. 2: Less Than Satisfactory

4.55 points

Thesis is insufficiently developed or vague. Purpose is not clear.

1. 1: Unsatisfactory

0 points

Paper lacks any discernible overall purpose or organizing claim.

collapse Argument Logic and Construction assessment

Argument Logic and Construction

8 points

Criteria Description

Argument Logic and Construction

5. 5: Excellent

8 points

Clear and convincing argument presents a persuasive claim in a distinctive and compelling manner. All sources are authoritative.

4. 4: Good

6.8 points

Argument shows logical progression. Techniques of argumentation are evident. There is a smooth progression of claims from introduction to conclusion. Most sources are authoritative.

3. 3: Satisfactory

6 points

Argument is orderly but may have a few inconsistencies. The argument presents minimal justification of claims. Argument logically, but not thoroughly, supports the purpose. Sources used are credible. Introduction and conclusion bracket the thesis.

2. 2: Less Than Satisfactory

5.2 points

Sufficient justification of claims is lacking. Argument lacks consistent unity. There are obvious flaws in the logic. Some sources have questionable credibility.

1. 1: Unsatisfactory

0 points

Statement of purpose is not justified by the conclusion. The conclusion does not support the claim made. Argument is incoherent and uses noncredible sources.

collapse Mechanics of Writing assessment

Mechanics of Writing

5 points

Criteria Description

Mechanics of Writing (includes spelling, punctuation, grammar, language use)

5. 5: Excellent

5 points

Writer is clearly in command of standard, written, academic English.

4. 4: Good

4.25 points

Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech.

3. 3: Satisfactory

3.75 points

Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed.

2. 2: Less Than Satisfactory

3.25 points

Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied.

1. 1: Unsatisfactory

0 points

Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used.

collapse Paper Format assessment

Paper Format

5 points

Criteria Description

Paper Format (use of appropriate style for the major and assignment)

5. 5: Excellent

5 points

All format elements are correct.

4. 4: Good

4.25 points

Appropriate template is fully used. There are virtually no errors in formatting style.

3. 3: Satisfactory

3.75 points

Appropriate template is used. Formatting is correct, although some minor errors may be present.

2. 2: Less Than Satisfactory

3.25 points

Appropriate template is used, but some elements are missing or mistaken. A lack of control with formatting is apparent.

1. 1: Unsatisfactory

0 points

Template is not used appropriately, or documentation format is rarely followed correctly.

collapse Documentation of Sources assessment

Documentation of Sources

5 points

Criteria Description

Documentation of Sources (citations, footnotes, references, bibliography, etc., as appropriate to assignment and style)

5. 5: Excellent

5 points

Sources are completely and correctly documented, as appropriate to assignment and style, and format is free of error.

4. 4: Good

4.25 points

Sources are documented, as appropriate to assignment and style, and format is mostly correct.

3. 3: Satisfactory

3.75 points

Sources are documented, as appropriate to assignment and style, although some formatting errors may be present.

2. 2: Less Than Satisfactory

3.25 points

Documentation of sources is inconsistent or incorrect, as appropriate to assignment and style, with numerous formatting errors.

1. 1: Unsatisfactory

0 points

Sources are not documented.