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.

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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. 

Rubic_Print_Format

Course CodeClass CodeAssignment TitleTotal Points
HLT-362VHLT-362V-O500Application of Statistics in Health Care100.0
CriteriaPercentage1: Unsatisfactory (0.00%)2: Less Than Satisfactory (65.00%)3: Satisfactory (75.00%)4: Good (85.00%)5: Excellent (100.00%)CommentsPoints Earned
Content70.0%
Application of Statistics in Health Care (quality, safety, health promotion, leadership)40.0%Application of statistics in health care is omitted or incomplete. The significance to quality safety, health promotion, and leadership is omitted.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.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.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.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.
Application of Statistical Knowledge to Organization or Specialty Area30.0%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.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.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. .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.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.
Organization and Effectiveness20.0%
Thesis Development and Purpose7.0%Paper lacks any discernible overall purpose or organizing claim.Thesis is insufficiently developed or vague. Purpose is not clear.Thesis is apparent and appropriate to purpose.Thesis is clear and forecasts the development of the paper. Thesis is descriptive and reflective of the arguments and appropriate to the purpose.Thesis is comprehensive and contains the essence of the paper. Thesis statement makes the purpose of the paper clear.
Argument Logic and Construction8.0%Statement of purpose is not justified by the conclusion. The conclusion does not support the claim made. Argument is incoherent and uses noncredible sources.Sufficient justification of claims is lacking. Argument lacks consistent unity. There are obvious flaws in the logic. Some sources have questionable credibility.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.Argument shows logical progression. Techniques of argumentation are evident. There is a smooth progression of claims from introduction to conclusion. Most sources are authoritative.Clear and convincing argument presents a persuasive claim in a distinctive and compelling manner. All sources are authoritative.
Mechanics of Writing (includes spelling, punctuation, grammar, language use)5.0%Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used.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.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.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.Writer is clearly in command of standard, written, academic English.
Format10.0%
Paper Format (use of appropriate style for the major and assignment)5.0%Template is not used appropriately, or documentation format is rarely followed correctly.Appropriate template is used, but some elements are missing or mistaken. A lack of control with formatting is apparent.Appropriate template is used. Formatting is correct, although some minor errors may be present.Appropriate template is fully used. There are virtually no errors in formatting style.All format elements are correct.
Documentation of Sources (citations, footnotes, references, bibliography, etc., as appropriate to assignment and style)5.0%Sources are not documented.Documentation of sources is inconsistent or incorrect, as appropriate to assignment and style, with numerous formatting errors.Sources are documented, as appropriate to assignment and style, although some formatting errors may be present.Sources are documented, as appropriate to assignment and style, and format is mostly correct.Sources are completely and correctly documented, as appropriate to assignment and style, and format is free of error.
Total Weightage100%

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Application of Statistics in Health Care

Application of Statistics in Healthcare

Introduction

            Statistics play a crucial part in medical research, planning, and decision making. Interventions in technology have seen computational statistics used to solve health problems. Through statistics, medical examiners collect and analyze inferences for apt decision making. Mastery in health statistics reduces the level of errors in care. Statistics provide empirical data that can be used in resource allocation. Its application helps in treatment prioritization. Again the efficiency of nursing interventions is determined through statistics. Numeric information about health facets is used to monitor disease patterns (Vetter, & Morrice, 2019). Data drawn is then used to determine those who are vulnerable to a particular condition. The information is then used to counter the spread and prevent adverse effects of the disease. When an organization decides based on statistical data, it can devise policies and guidelines that benefit patients. Statistical analysis precedes the development of new drug developments. Moreover, all clinical trials embrace statistical procedures to measure the benefits and risks of medical processes. 

Quality

 Quality care is immutable. Healthcare facilities apply statistics to weigh their performance. Statistical data helps generate standards of service excellence. Healthcare managers used numerical information to anticipate and measure future outcomes. With statistics, evidence-based medicine becomes feasible (Vetter & Morrice, 2019). Evidence-based medicine guidelines imply that statistical data should be used to foster health within a specific demographic or location for quality healthcare. In a nutshell, there is not quality care if the process is not data-driven. All processes should be measured and analyzed before settling on their efficiency.

Safety

For patient safety to be achieved, statistics is essential. Approximately 2 million people and 10000 people die of infections acquired in hospitals (Vetter & Morrice, 2019). The higher the number of infections and deaths, the high the financial costs that strains the healthcare sector. Since hospital infections are avertible, evidence-based practice with statistical information is applied to promote patients’ safety. The Agency for Healthcare Research & Quality employs statistics to measure treatment efficacy, cost, and practicality. Statistical data used for safety reasons take on population vulnerability, protection, and safety monitoring.

Health Promotion

Health promotion is all about protecting and preventing individuals from diseases. Statistical data is used to address behaviors such as inactivity, poor eating habits, and substance use. Healthcare providers use statistical information to envisage the type, level, and cost of care needed in a demographic group (Kaur, Stoltzfus, & Yellapu, 2018). Health providers can meet the needs through statistical data and allocate enough resources for a particular health problem. Employing statistics in health promotion sees an increase in child vaccination, exercising, and change of diets.

Leadership

 HealthCare leaders employ statistical knowledge when applying for grants. They also validate finances and expenditures to their superiors. In most cases, they use descriptive statistics to demonstrate how useful and efficient they will or used finances or medical resources (Kaur, Stoltzfus, & Yellapu, 2018). When measuring performance in an organization, statistical analysis comes into play. Through statistical data and charts, healthcare administrators determine the overall growth of the health facility. Moreover, healthcare leaders use numerical information to scale up, meet staffing needs, allot funds, and perform clinical trials.

Using Health Statistics in Medical Nurse

Medical nurses ought to be accustomed to quantitative research and statistics to stand out in the field. Besides evidence-based practice, nurses should be conversant with quantitative reporting for quality care. Herein, medical nurses use statistical knowledge to measure, analyze diagrams, interpret charts, and draw evidence from computerized data (Grove, & Cipher, 2019). Statistical data is collected through medical records, interviews, claims, and clinical trials. A system-wide computer program is then used to share the collected data in the department.

As a medical nurse, one is obliged to employ statistical knowledge when prioritizing treatments. Consequently, the practitioner determines whether a patient needs immediate intervention, advanced care, or follow up care. Statistical skills are paramount when pinpointing specific symptoms in various medical conditions (Grove & Cipher, 2019). In a contemporary healthcare setting, a nurse generates frequency charts and data sheets to outline care timing. For quality and efficient care, statistics contrast medical options based on cost, efficacy, and results obtained. Statistical knowledge comes in handy, mostly when medical intervention has failed to address a particular health problem. Therefore, the medical nurse is forced to select another intervention that its probability of working out is very high.

Conclusion

           Health statistics influence decision-making in healthcare. Statistics have been used to monitor and document disease prevalence, vulnerable populations, and available treatments. These skills have helped increase life expectancy, control the spread of infections, improve care, and reduce mortalities. Also, data obtained and examined is used to developing new drugs.

References

Grove, S. K., & Cipher, D. J. (2019). Statistics for Nursing Research-E-Book: A Workbook for Evidence-Based Practice. Elsevier Health Sciences.

Kaur, P., Stoltzfus, J., & Yellapu, V. (2018). Descriptive statistics. International Journal of Academic Medicine, 4(1), 60.

Vetter, T. R., & Morrice, D. (2019). Statistical process control: no hits, no runs, no errors?. Anesthesia & Analgesia128(2), 374-382.