Assignment: HLT 362 Applied Statistics

Assignment: HLT 362 Applied Statistics

Assignment HLT 362 Applied Statistics

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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

Assignment HLT 362 Applied Statistics
Assignment HLT 362 Applied Statistics

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.

Conclusion

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.

References

Jahan, S., Al-Saigul, A. M., & Suliman, A. A. (2016). Attitudes to statistics in primary health care physicians, Qassim province. Primary health care research & development17(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 One11(10), e0164439.

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Quantitative articles often adhere to different formats. These research processes are often characterized by different research designs. Most of the researchers prefer quantitative research processes since they often indicate statistical or clinical significance. There are various research articles that use different methodologies. In this case, the article selected is “Effect of a modest weight loss in normalizing blood pressure in obese subjects on antihypertensive drugs” by Gilardini, L., Redaelli, G., Croci, M., Conti, A., Pasqualinotto, L., & Invitti, C. (2016). The main objective of the study is to assess or evaluate the impacts of lifestyle intervention in normalizing or lowering blood pressure levels among hypertensive obese patients. From the research process, the outcome suggested that lifestyle interventions are helpful for the obese hypertensive patients in most of whom the modest approaches in weight loss is appropriate in normalizing BP levels and avoiding the extensive use of different antihypertensive drugs.

The study was quantitative since there was collection and analysis of primary data to assess the effect of a modest weight loss in normalizing blood pressure in obese subjects on antihypertensive drugs. The sample size used in the study was 490. In other words, there were 490 Caucasian obese and hypertensive patients recruited in the study process (Gilardini et al., 2016). The respondents were recruited into the study between the year 2008 and 2014. The qualification for the study participants or respondents entailed being under one or more antihypertensive drugs for about six months and above and good treatment compliance.

Simple random sampling method was used to identify the study participants. Through this approach, patients or respondents with drug-induced and secondary hypertension were excepted from the study. After the sampling process, the information on the use of medication, smoking habits, cardiovascular diseases, family history of obesity and diabetes were collected from the respondents. Simple random sampling method is effective for such studies. One of the advantages of the above sampling method is the accuracy of representation and the ease of use. From observation, there is no any other easier method that exists to obtain research sample from the population under study than simple random sampling. The application of simple random sampling to select the study respondents often yields samples that is a representative of the population being studied. With simple random sampling, even the small sample sizes can display low sampling error when the process is performed accurately. In a quantitative study such as the one shown above, the application of the representative sample to make generalizations and inferences about the population is critical. In a quantitative research process, a biased sample can often lead to the inaccurate conclusions being made from the larger populations.

 

ORDER NOW FOR AN ORIGINAL PAPER ASSIGNMENT: Assignment: HLT 362 Applied Statistics

Assignment: HLT 362 Applied Statistics
Assignment: HLT 362 Applied Statistics

Topic 1 DQ 2

Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.

REPLY TO DISCUSSION

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An understanding of statistics is essential if the numerous reports and documents issued within the healthcare industry are to be scrutinized and considered critically. There has been an increase in the development of research-based and evidence-based practice (EBP) in healthcare over the last two decades. Understanding statistics and analysis helps healthcare personnel make sense of the research studies that underpin EBP and enables practitioners to undertake their investigations. Health care practices are not based on research and are not assessed, planned, and evaluated to see if it makes a difference in patient care, leading to unsafe practices and patient harm (Scott & Mazhindu, 2014).

In the operating room, we use statistical data to evaluate patient care, such as that related to patient positioning pressure injuries. Statistics are also used to develop quality measures or metrics related to surgical on-time starts, operating room turnover times, surgeon block utilization, case cancellations on the day of surgery, and patient through-put times. Other applications of statistics in the operating room are staffing plans, cost per case, materials management, and resource allocation. This data is used for best practices in patient care, operational room efficiency, and value-based healthcare practices within the hospital.

Reference:

Scott, I. & Mazhindu, D. (2014). Statistics for Healthcare Professionals: An Introduction. Thousand Oaks, California: SAGE Publications, Ltd.

  • BM

Bhavisha Modi

replied toIrene Igbinosa

Aug 21, 2022, 8:00 AM

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Irene,

Your patient positioning patient injuries example was remarkable.

Bhavisha.

  • AM

Abdul-Fatawu Musah

replied toIrene Igbinosa

Aug 21, 2022, 10:32 AM

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Hi Irene,

Statistical information is invaluable in determining what combination of goods and services to produce, which resources to b allocation in producing them and to which populations to offer them. Healthcare statistics are critical allocative and production efficiency. Inevitably, allocation decisions involve trade-offs-off the costs of lost or missed opportunities in choosing one economic decision over another. Reliable statistical information minimizes the risks of health care trade-offs.

Reference:

Healthfully, (2022). Why Are Statistics Important in the Health Care Field? healthfully.com/why-are-statistics-important-in-the-health-care-field-4856543.hml

 

 

AM

Abosede Morenikeji

Aug 19, 2022, 10:24 PM

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Understanding statistical concept is important in health care because it helps to get the best possible outcomes for the patients and helping them to get the best care possible, it will also help to identify patient care trends by using data.

Statistics is greatly influenced in health care operation in the electronic medical records units, because they contains lots of important information’s such as birth weights, birth rates, morality rates, diagnosis, and testing result of the patients, which can help to answer questions through data analysis (Helbig & Ambrose, 2018). Due to the analyzed data, there would be quality care delivery to the patients (Helbig & Ambrose, 2018).

As an organization, statistics helps to know how many people in the country have a disease or how many people are infected with dsease within a certain period of time.

Know the affected age group by their location, race, ethnic group, sex, age, profession, income level, and level of education. Which will help to identify health disparities. Furthermore, it helps to know whether a particular treatment is safe and effective for their patients. Also, to know the birth and death rate, how many people have access to and use health care in the organization in a period of time. The quality and efficiency of the health care that we are rendering to the patients. Understanding the impact of government programs and policies on health care delivery or systems. Moreover, identifying the risk factors for different type of diseases (Medlineplus, 2020).

All these will help nurses to care for their patients appropriately, because the data would have helped identify some weak or strong. It can also help to get needed material or resources needed for patients care.

 

Statistical knowledge help us to use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how to make decisions based on data, and make predictions. Statistics allows you to understand a subject much more deeply.

 

 

 

Helbig, J. & Ambrose, J. (2018 ). Applied statistics for health care. Retrieved from https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/