Statistics in Health Care
Today, statistics is applied in all sectors to show trends in the markets and to enhance the planning processes for the success of an organization. Statistics involves the analysis of collected data to inform the decision-making processes. Healthcare organizations mostly use statistics to show the trends in the emergence and spread of diseases, plan for the medical operation processes, and control the treatment processes, among other activities meant to increase efficiency in the healthcare system. There is always the need for healthcare systems to enhance care delivery and ensure effective patient outcomes. As a result, healthcare institutions often engage in numerous research processes. Besides, in the modern clinical setups, there is the application of evidence-based practices to enhance, diagnosis, treatments, and overall patient care.
Importance of Statistical Knowledge in Healthcare
The knowledge of statistics is used in the modeling processes to formulate the best treatment approaches that are essential for specific types of patients. Statisticians often rely on clinical data to predict and inform any possible variation in the treatment and patient management (Jahan et al., 2016). For instance, whenever there is a disease outbreak, as in the coronavirus case, clinical data collected can be used to determine the possible future trends and the number of resources that may be required to manage the situation. Statisticians may also model a system or program that may show the best precautions to take to reduce the spread of the diseases through the application of data collected. Different processes in the health care system rely on statistical data. For example, when writing a treatment or medication report, healthcare professionals often use the data that have been collected over a given period (Milic et al., 2016). As a result, healthcare professionals need to have basic or advanced knowledge in statistics to create meaningful reports and make statistically significant conclusions. The modern treatment models rely on statistical data. For instance, the development of artificial intelligence that can facilitate the medication process depends on the data and statistical trends in the healthcare system.
Before a research process is considered medically significant, it must always pass through the statistical tests to ensure that it is statistically significant. All the above processes require significant statistical knowledge to help in the accurate analysis of every scenario from study design, data collection, data analysis, interpretation, and writing of a comprehensive medical report. Most of the medical research companies such as Center for Disease Control (CDC) and World Health Organization (WHO) depend on the statistical knowledge when it comes to drug trials, research on various diseases and study of the best medical interventions mechanisms that can lead to effective patient outcomes (Milic et al., 2016). As a result, there are always teams of epidemiologists and biostatisticians who have advanced knowledge in statistics, nature of diseases, and other healthcare activities. With the use of data in the treatment process, there is always the need for healthcare workers to show competency in healthcare informatics.
The application of statistics in the healthcare system is significant to quality improvement. To ensure efficiency in the healthcare system, there is always the need for healthcare professionals in collaboration with the researcher to carry out research to determine areas that require improvements. The use of data can, therefore, informs the ideal solution to the problems facing healthcare institutions. Therefore, the result of the clinical analysis can be used to improve the quality of care and the general treatment processes. Research processes may inform the safety measures, health promotion, and best leadership approaches that can best improve general care.
With the emergence of diseases and different complications in the healthcare settings, the provision of healthcare services often turn to be a challenge; as a result, there is always the need for healthcare professionals to identify the right strategies that can be used to improve the treatment outcome and the general safety. Therefore, statistical knowledge is required to undertake research using the clinical data available to determine the best strategies that can be used to deal with the increasing problems.
In my organization, given the introduction of technology and numerous research processes, I will mostly utilize statistics in almost all the activities, from data collection, clinical analysis, medical research, clinical reporting. The statistical knowledge will also be critical in the development of treatment and care models in line with the needs of the patients. In healthcare settings, the clinical data can be obtained from the databases. Also, in cases where there is the need to study health determinants within the communities, research models can be designed whereby data may be collected from the community members through surveys. Data analysis results are often used in the decision-making processes; they may be applied to inform quality improvement, tend in the operational processes, and the best treatment and care processes to be adopted.
All these medical approaches rely on the application of data. With the development of modern technologies in the healthcare system, data collection is usually done to ensure that patient’s records are well updated for further treatment processes. Patient’s data are usually collected from the point of admission to the time of discharge. All the above activities are statistical approaches that are meant to collect data to inform decision-making processes.
Jahan, S., Al-Saigul, A. M., & Suliman, A. A. (2016). Attitudes to statistics in primary health care physicians, Qassim province. Primary health care research & development, 17(4), 405-414.
Milic, N. M., Masic, S., Milin-Lazovic, J., Trajkovic, G., Bukumiric, Z., Savic, M., … & Ilic, A. (2016). The importance of medical students’ attitudes regarding cognitive competence for teaching applied statistics: multi-site study and meta-analysis. PLoS One, 11(10), e0164439.
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.
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Three peer-reviewed, scholarly or professional references are required.
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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 https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/1
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