Statistics in Health Care
Application of Statistics in Health Care
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:
- Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
- 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.
You are required to submit this assignment to LopesWrite. Refer to the for assistance.
Course Code Class Code Assignment Title Total Points
HLT-362V HLT-362V-O500 Application of Statistics in Health Care 100.0
Criteria Percentage 1: Unsatisfactory (0.00%) 2: Less Than Satisfactory (65.00%) 3: Satisfactory (75.00%)
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 Statistical Knowledge to Organization or Specialty Area 30.0% 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. .
Organization and Effectiveness 20.0%
Thesis Development and Purpose 7.0% 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.
Argument Logic and Construction 8.0% 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.
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.
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.
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.
Total Weightage 100%
Learning Objectives Achieved: 0/0
Instructor’s Comments:You did a good job discussing the historical application of statistics in the field of health care as well as noting where statistical applications have influenced health care operations or practices.
Statistics is a component of mathematics used to analyze and interpretation of data. Conclusions of probability and likelihood can be drawn from the statistical data and possibly help to influence decision making. In health care, statistics is used to “identify patient care trends using data, and increase the ability to create and utilize evidence-based practice” (Ambrose, 2019). Health statistics helps generate important knowledge about the health of populations and offers information to guide and develop new health policy and evaluation as well as new interventions within the field. A good example that is still effective today is of Lillian Wald (1867-1940). In 1893, Wald was teaching hygiene and health classes to immigrant families and her direct observation was that the impoverish immigrant communites were unsanitary, underserved and lacked suitable health care. Lillian Wald is a innovator in the field of public health nursing and is credited for launching the Henry Street Settlement and the Visiting Nurse Service. Through her analyses and assembled statistics, she identified the direct connection between poverty and poor health. Her studies and statistics directly impacted nursing services and funding for the poor communities.References
Grand Canyon University (Ed). (2018). Applied statistics for health care. Retrieved from
Hanink, E. (2019). Lillian wald (1867-1940) and public health nursing. Retrieved from https://www.workingnurse.com/articles/Lillian-Wald-1867-1940-and-Public-Health-Nursing