The use of statistics in nursing dates back to 1850s when Florence Nightingale came up with a method of representing statistical data on graphs, and her works in statistics ushered in a period in which clinicians and researchers began using and applying statistics to conduct survey, and make clinical decisions. For example, researchers used statistics in 1971 to assess and examine Americans’ nutritional behaviors, and this study was instrumental in shaping future application of the statistics in healthcare sector (Aggarwal, 2018).
It is important to explore how statistics is applied within this sector with respect to safety, quality, health promotion and leadership, examine the process involved in obtaining statistical data, and look at how decisions can be made using statistics.
The Application of Statistics in Healthcare
Statistics is profoundly rooted in healthcare, and is used in various aspects of the healthcare including research, and clinical practice. For example, it helps analyze data or trends in the prevalence of the infectious diseases, and using the statistical information, researchers can predict future trends. Policy makers can respond by developing effective policy solutions to counter and prevent the spread of these diseases.
Examples of such policy solutions include allocation of more resources, and sensitizing the public and communities on how they can reduce exposure to infections. Evidence-based practice solutions can be backed by statistics considering that the statistical data can show the success of certain interventions (Hayn et al., 2017). This can in turn improve provider confidence because they are sure that the use of certain interventions-backed by statistical information, can help optimize clinical outcomes.
Significance of Statistics to Quality, Safety, Health Promotion and Leadership
The safety and quality of health care including health promotion and leadership outcomes are all dependent on application of the statistics in healthcare. When one studies statistical data that shows the success of certain clinical interventions, providers can rely on these interventions as the hallmarks for making future decisions when delivering care, and this can lead to improved clinical outcomes. In such a scenario, there are fewer cases of medical errors which basically leads to the delivery of safe care.
This can also lead to the improvement of the quality of care by reducing the length of stay, and alleviating the physiological and psychological effects of the disease. Statistics can help with health promotion by helping determine the gap in knowledge on how people can avoid infections, and this information can be used to plan for a public health campaign. Conversely, a leader can use the statistical data to determine the leadership models which can lead to team success (Gibson, 2018).
Process involved in obtaining Statistical Data
Before one analyzes data, they have to obtain it first, and there different methods which one can use to acquire the data. Survey is an example of such methods, and among the techniques used in this case include focus groups and questionnaires. These techniques can help one obtain details such as views, experiences and behavior.
Observation is the other method of obtaining data, and it entails observing how subjects behave or how study parameters change from time to time. An example is using stepwise approach to manage diabetes, observing how the patient, and noting down the results (Boulesteix, Wilson, & Hapfelmeier, 2017).
The use of Statistical Knowledge in Day-to-Day Operations
Statistics is used in day-to-day operations, and in clinics, physicians can use knowledge in statistics to monitor the patient’s progress at different stages of therapy. Doing this can help reduce suffering, and improve the chances of success of the intervention. Statistics can also help determine the number of children experiencing malnutrition, and inform measures which can lead to better nutrition care for children.
For the government to keep track of the financial costs of road accidents, the data of people who end up in hospitals with vehicle-related injuries can help in this case (Hayat et al., 2017). The knowledge is equally useful when it comes to making decisions on how to distribute resources to the public.
The use of Statistical Knowledge in Decision-Making
Decision-making in healthcare is important because it helps identify and settle on decis
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In healthcare, statistics have a critical application because they help healthcare professionals to make evidence-based decisions, improve care delivery, enhance patient outcomes, and advance hospitals’ quality. Oster and Enders (2018) recommend that healthcare providers have statistical competence to boost their capacity to consume research findings and translate them into practice and further studies. An increasing body of knowledge compels healthcare providers to update their practices to be in line with novel results which are reliable and useful in delivering care. Moreover, the quality improvement of procedures, processes, and systems requires continual research activities through statistics. According to Guetterman (2019), statistics offer a systematic and rigorous process of generating valid and reliable healthcare findings. For healthcare providers, including nurses, managers, and physicians, to deliver optimal care, they apply statistical analyses to adopt evidence-based practices. In this view, this paper focuses on examining the application of statistics in healthcare aspects of quality, safety, promotion, and leadership, along with the routine application in nursing.
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Since healthcare services are sensitive and specific to patients’ unique needs, quality is an important attribute that determines health outcomes. The use of statistics enables healthcare providers to evaluate and establish if the nature of the care they deliver to patients meets the standards or deviates significantly from them. For instance, the World Health Organization has established standards and guidelines for healthcare providers to follow and ensure they deliver a specific quality of care to different patients. Diagnoses, treatment interventions, and patient outcomes are significant parameters analyzed using statistics to establish health quality (Oster & Enders, 2018). Accurate diagnosis of diseases requires statistics to determine if disease markers are reliable to make informed decisions regarding patients’ conditions. Variations in demographics and the needs of diseases necessitate applying statistics to customize treatment interventions among patients to achieve specific health outcomes. Overall, statistics allow healthcare providers to deliver care that is consistent with the established standards and guidelines.
The risk of medical errors in healthcare organizations requires applying statistics to ensure that diagnoses and treatments are safe. Patients’ diagnoses ought to be accurate to protect them from undue harm stemming from the use of drugs. In essence, the diagnosis should ensure that they provide precise information for the appropriate prescription of drugs. In drug design, statistics enable the determination of therapeutic indices and safety margins for doctors to prescribe the right doses and ensure safety from adverse effects (Oster & Enders, 2018). Furthermore, the statistical analysis aids in evaluating the pharmacodynamic and pharmacokinetic properties of drugs for safety prescriptions to patients. By adhering to drugs’ safety margins, healthcare providers prevent medical errors related to dosage.
For healthcare organizations to undertake health promotion, they have to survey the target population and identify their unique needs. The process of doing a needs assessment requires statistics in the questionnaire design, sampling of individuals, information collection, and data analysis (Guetterman, 2019). Information such as prevalence, distribution, and risks enable epidemiologists to formulate effective interventions for health promotion. For example, the prevalence rates and the distribution of Coronavirus empower the health care systems to make informed decisions regarding preventive measures and guidelines necessary for effective health promotion among the target population.
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Leaders play a critical role in healthcare organizations because they determine the nature of policies, guidelines, programs, and interventions to deliver quality care. To keep abreast of advancements in care, leaders read, interpret, and translate novel findings into effective interventions that ensure quality improvement (Guetterman, 2019). Researchers report their results using descriptive and inferential statistics for the target audience to consume and apply in their respective areas of specialization. Leaders’ work is to help their teams understand research findings and
Order this paperStatistical 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:
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The use of statistics in nursing dates back to 1850s when Florence Nightingale came up with a method of representing statistical data on graphs, and her works in statistics ushered in a period in which clinicians and researchers began using and applying statistics to conduct survey, and make clinical decisions. For example, researchers used statistics in 1971 to assess and examine Americans’ nutritional behaviors, and this study was instrumental in shaping future application of the statistics in healthcare sector (Aggarwal, 2018).
It is important to explore how statistics is applied within this sector with respect to safety, quality, health promotion and leadership, examine the process involved in obtaining statistical data, and look at how decisions can be made using statistics.
The Application of Statistics in Healthcare
Statistics is profoundly rooted in healthcare, and is used in various aspects of the healthcare including research, and clinical practice. For example, it helps analyze data or trends in the prevalence of the infectious diseases, and using the statistical information, researchers can predict future trends. Policy makers can respond by developing effective policy solutions to counter and prevent the spread of these diseases.
Examples of such policy solutions include allocation of more resources, and sensitizing the public and communities on how they can reduce exposure to infections. Evidence-based practice solutions can be backed by statistics considering that the statistical data can show the success of certain interventions (Hayn et al., 2017). This can in turn improve provider confidence because they are sure that the use of certain interventions-backed by statistical information, can help optimize clinical outcomes.
Significance of Statistics to Quality, Safety, Health Promotion and Leadership
The safety and quality of health care including health promotion and leadership outcomes are all dependent on application of the statistics in healthcare. When one studies statistical data that shows the success of certain clinical interventions, providers can rely on these interventions as the hallmarks for making future decisions when delivering care, and this can lead to improved clinical outcomes. In such a scenario, there are fewer cases of medical errors which basically leads to the delivery of safe care.
This can also lead to the improvement of the quality of care by reducing the length of stay, and alleviating the physiological and psychological effects of the disease. Statistics can help with health promotion by helping determine the gap in knowledge on how people can avoid infections, and this information can be used to plan for a public health campaign. Conversely, a leader can use the statistical data to determine the leadership models which can lead to team success (Gibson, 2018).
Process involved in obtaining Statistical Data
Before one analyzes data, they have to obtain it first, and there different methods which one can use to acquire the data. Survey is an example of such methods, and among the techniques used in this case include focus groups and questionnaires. These techniques can help one obtain details such as views, experiences and behavior.
Observation is the other method of obtaining data, an
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