# answered: Mayelin Ruiz 10 hours ago, at 10:15 PM Top of Form A quantitative study is a study where the resear

Mayelin Ruiz

10 hours ago, at 10:15 PM

Top of Form

A quantitative study is a study where the researcher collects and analyzes quantifiable data. The study uses statistical techniques to analyze numerical data. Descriptive statistics are used in quantitative studies to present the data collected in a more meaningful way to facilitate easy interpretation (Mishra et al., 2019). The relevance of descriptive statistics is to simplify large data volume and make it more understandable to the viewer.

There are three measures used to assess central tendencies, which include mean, median, and mode (Mishra et al., 2019). The mean is the value that gives an average of the data set and is determined by summation of the values divided by number of values. The median is determined by selecting the value in the middle, when the data set is listed in a certain order, either descending or ascending (Mishra et al., 2019). The mode is determined by identifying the value that appears more frequently in a data set.

The levels of measurement identify the relationship among the values assigned to the attributes of the study variables. They include nominal, ordinal, ratio, and interval (Dalati, 2018). Nominal measurement is used to name the data that can be categorized, such as jersey numbers. Ordinal measurement is used to name the data that can be categorized and ranked, such as education level. Interval measurement is used on evenly spaced data that can be categorized and ranked, such as distance. Ratio measurement is used on data with a natural zero and can be ranked, categorized, and is evenly spaced. Parametric tests are tests that make assumptions on the parameters of normally distributed population data, while non-parametric tests do not make assumptions and are independent of the distribution of data.

A quantitative test would be used to measure the reduction in the incidence of breast cancer in menopausal patients, which is the dependent variable. The test would be used to determine whether the study would confirm the hypothesis of the study, which defines the expected outcome (Guetterman, 2019). The expected outcome is that the use of nursing education would reduce the incidence of breast cancer in menopausal patients.

References

Dalati, S. (2018). Measurement and measurement scales. In Modernizing the Academic Teaching and Research Environment (pp. 79-96). Springer, Cham. https://doi.org/10.1007/978-3-319-74173-4_5

Guetterman, T. C. (2019). Basics of statistics for primary care research. Family Medicine and Community Health, 7(2), e000067.
https://doi.org/10.1136/fmch-2018-000067

Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of Cardiac Anaesthesia, 22(1), 67. https://doi.org/10.4103/aca.ACA_157_18Bottom of Form

Manuel Ariel Garcia Periu

Top of Form

Quantitative Evaluations

A quantitative study systematically investigates phenomena by collecting quantifiable data and performing relevant mathematical or statistical techniques. It emphasizes objective measurements and numerical analysis using surveys, questionnaires, manipulation of pre-existing data, and other available tools. Descriptive statistics is the summative presentation of research findings in a meaningful way to identify patterns easily (Kapoor, 2020). These statistics only interpret available data and do not arrive at conclusions beyond what data analysis can provide. They help users have a simpler interpretation of data, highlight relationships between variables, and provide basic information about the variables used in a dataset.

Central tendencies are measured using the mode, median, and mean to obtain the central position from the lowest to the highest value. There are four measurement levels: “nominal, ordinal, interval, and ratio” (Thompson, 2019, p .300). There is an increasing level of complexity and precision from nominal to ration levels. The nominal level only categorizes data without ranking. In contrast, the ordinal levels classify and rank data in a given dataset using a particular order. The interval level is a cumulative of the nominal and ordinal levels as it can categorize, rank, and deduce equal intervals between adjacent data points. Lastly, the ratio level, which is the highest, organizes, ranks, infers equal intervals between data points and establishes a true zero point. Parametric tests are premised on assumptions related to population distribution because information about distribution is known and has fixed parameters (Sedgwick, 2015). Nonparametric tests evaluate the hypothesis for the population because nothing is known about population distribution.

It will be necessary to use quantitative tests to gauge the effectiveness of opioid addiction health promotion. The tests will mark areas with a more urgent need for intervention, track progress, and identify the population’s needs. Some tests will capture risk factors, demographic data such as ethnicity and race, education attainment, and income, and all these details help identify healthy behaviors and necessary healthcare policies.

References

Kapoor, R. (2020). Statistics corner: Reporting descriptive statistics. Journal of Postgraduate Medicine, Education and Research, 54(2), 66–68. https://doi.org/10.5005/jp-journals-10028-1364

Sedgwick, P. (2015). A comparison of parametric and non-parametric statistical tests. BMJ, 350(apr17 1). https://doi.org/10.1136/bmj.h2053

Thompson, W. J., Clark, A. K., & Nash, B. (2019). Measuring the reliability of diagnostic mastery classifications at multiple levels of reporting. Applied Measurement in Education, 32(4), 298–309. https://doi.org/10.1080/08957347.2019.1660345

Taymir Torres

The Triple Aim focuses on improving the care experience and health of specific populations and reducing the per capita cost of care (Gesko et al., 2020). To measure Triple Aim, it is important to identify the need of the specific target population and track health data over time to understand the relationship between interventions and effects, as well as the special cause and common cause variations. It is also critical to understand the difference between process and outcome measures and by using comparison data as a benchmark.

The measures of the health of the population include health outcomes, such as mortality rate, health and function status assessment, and healthy life expectancy; the prevalence of major chronic diseases (Van Deun et al., 2019); behavioral factors, such as physical activity, smoking, and alcohol consumption, and physiological factors, such as blood glucose, body mass index, and blood pressure. Care experiences can be measured through patient surveys, the likelihood to recommend to others, and the efficiency, safety, timeliness, effectiveness, equitability, and patient-centeredness. The per capita healthcare costs by determining the utilization rate of the emergency department and hospitals and the monthly total cost of each member of the population.

In Florida, Covid-19 is one of the healthcare problems that affect the health of the residents. To improve the health of the population, the outcomes are measured by determining the mortality rates and the prevalence of the disease in the area. The care experience of the residents who have been infected by the coronavirus is measured through patient surveys during discharge to determine their likelihood to recommend the facilities to their family and friends and also the effectiveness of care. The per capita healthcare costs related to Covid-19 are measured by determining the rate at which patients are being hospitalized with Covid-19 and those that report to the emergency departments with Covid-19 related complications, as well as insurance spending on prescriptions (Chua et al., 2022).

References

Chua, K. P., Conti, R. M., & Becker, N. V. (2022). US Insurer Spending on Ivermectin Prescriptions for COVID-19. JAMA. https://doi.org/10.1001/jama.2021.24352

Gesko, D. S., Worley, D., & Rindal, B. D. (2020). Creating systems aligned with the triple‐aim and value‐based care. Journal of Public Health Dentistry, 80, S109-S113. https://doi.org/10.1111/jphd.12409

Van Deun, E., Sermeus, W., & Goderis, G. (2019). Evaluating Triple Aim in integrated care through claims data. International Journal of Integrated Care, 19(4). http://doi.org/10.5334/ijic.s3516

Yanet Garrido Coutin

1- How to measure the Triple Aim

Any country’s economy relies heavily on health care. The United States has incorporated its government’s attempts to strengthen the health-care system in this regard. They accomplish this when they inspect each medical center in order to improve health care. Reasonable rates and high-quality health care are important to the American administration. This is to improve principles that will appeal to the entire people of the United States. The goal of this study is to find a critical Triple Aim principle. This is in order to meet the goal of better health-care delivery. In the health-care sector, the Institute of Health Improvement established the Triple Aim structure.

It’s a framework that incorporates a plan for maximizing health-care system expansion. The first of the Triple Aim’s three components is to improve the overall health of the population. The second objective is to enhance the patient’s experience by delivering high-quality, effective health care. The third part is to reduce per capita expenditures by ensuring that health-care services are equitable. The improvement in Triple Aim should provide services to people from all walks of life. This is to assist in the improvement and transformation of health care institutions in terms of service delivery. Furthermore, the goal of this framework is to provide health care that benefits individuals as well as the entire community (University Hospitals, 2015).

2- Identify ways the Triple Aim is being measured in your local community or state.

In order to eliminate health inequities, the new clinic will be involved in the neighborhood.

Free health fairs, screenings, and low-cost testing are all ways to educate the public while also promoting the new clinic (University Hospitals, 2015). Obesity prevention, HIV prevention, and common challenges impacting immigrant and reserve families would all benefit the community’s health (Trossman, 2015). Employee volunteerism demonstrates that they care about the communities they serve. Patient satisfaction surveys, when compared to previous surveys, can help health care organizations assess the success of their programs and procedures (AAP, 2008). They can also see if they’ve received more qualified and diverse applications than in the past. Another option to collect input on their diversity practices and community outreach activities is to speak with employees, patients, and community members.

References

American Academy of Pediatrics (AAP). (2008). Evaluating your community-based program. Retrieved October 31, 2015, from http://mchb.hrsa.gov/programs/healthytomorrows/evaluatingpart2.pdf

Trossman, S. (2015). Florida nurse’s triple aim. American Nurse, 47(3), 12.

University Hospitals. (2015). Community Engagement. Diversity and Inclusion. Retrieved October 30, 2015, from http://www.uhhospitals.org/about/diversity-and inclusion/about-diversity-and-inclusion/community-engagement

Maria Lazarte

Safety is a broad term used to explain conditions that are not likely to cause harm. In the healthcare domain, safety culture is a framework that ensures that the patients admitted at the facility are less prone to injuries and damage. An example of a breach in the safety culture is the mix-up of health records that give the wrong medication to a person because of an error in naming the files (Chegini et al., 2020). Since nurses are responsible for patient safety in the healthcare facility, they can use the latest technology such as electronic data storage to ensure each entry is accorded a unique identification number which completely eradicates confusion leading to better health outcomes and improved safety for the patients.

Healthcare informatics is a science, engineering, and technology field that cascades evidence-based practice to acquire, process, and store healthcare data for better patient management. The significant advantage of healthcare informatics is that it helps in reducing medical errors, maintaining data storage that contains well-arranged data without confusion, and providing confidentiality. Cascading the role of nurses with healthcare informatics makes it more effective and improves patient safety (Costa et al., 2018). The central part is to ensure that patient data is effectively stored using Electronic Health Records and retrieved effectively without confusion. Further, the role of nurses is to reduce errors or near errors in the healthcare field and ensure that patients are well treated. Since the use of electronic records reduces errors, the role of nurses in providing safety is achieved.

Nurses are supposed to closely monitor all patients to ensure that their health condition is not deteriorating. Record keeping on the patient could have been misplaced, and the next nurse on shift may not be aware of the special considerations to a particular patient (Hassan et al., 2019). However, by incorporating the new technology, the reports on the monitoring are created in the patient’s portfolio, and the next nurse on shift will be able to notice any special consideration that is meant to be accorded, and the healthcare outcome will be improved. The monitoring report will also be easily communicated to the relevant medical authorities to follow up and ensure that the people are safe.References

Chegini, Z., Janati, A., Afkhami, M., Behjat, M., & Shariful Islam, S. M. (2020). A comparative study on patient safety culture among emergency nurses in Tabriz’s public and private hospitals, Iran. Nursing Open, 7(3), 768-775. https://dx.doi.org/10.1002%2Fnop2.449

Costa, D. B. D., Ramos, D., Gabriel, C. S., & Bernardes, A. (2018). Patient safety culture: evaluation by nursing professionals. Texto & Contexto-Enfermagem, 27. https://doi.org/10.1590/0104-070720180002670016

Hassan, M. K., El Desouky, A. I., Elghamrawy, S. M., & Sarhan, A. M. (2019). Significant data challenges and opportunities in healthcare informatics and intelligent hospitals. In Security in smart cities: Models, applications, and challenges (pp. 3-26). Springer, Cham. https://www.researchgate.net/publication/328747941_Big_Data_Challenges_and_Opportunities_in_Healthcare_Informatics_and_Smart_Hospitals

Inalvis Diaz

Health informatics and nursing informatics are very relevant in evolving health systems. New technology and initiatives are constantly being developed. These new innovations do not go without implications in the clinical setting, managerial setting, and the policy setting. It is crucial that all participants whether it is the nurse, manager, provider, politician, lobbyist, or President of the United States remain coordinated. Multidisciplinary unity is crucial to ensure public trust in our health systems and to provide safe and effective patient care. Nursing professionals have an ethical duty to ensure patient safety . Increasing demands on professionals in complex and fast -paced healthcare environments, however ,may lead them to cut corners or develop workarounds that deviate from accepted that expected practice protocols. Patient safety is a very important issue in health care . The key for organization is to invest in their users and choose wisely so that the technologies they are adopting will be interoperable and easily upgradable as technologies and safety practice evolve. On the other hand , The profession of nursing is viewed as both an art and science. Evolution of nursing includes evidence-based practice and rapid incorporation of advances in technology. Nursing informatics is a field that has widespread uses in healthcare, including specialty practice. Numerous roles have developed based on the growing education and applications of the nursing informatics knowledge base. Educational curriculum and certification are options for nurses to pursue in this exciting field.

References :

American Nurses Credentialing Center. (2012). Informatics nursing certification. Retrieved February 13, 2013 from www.nursecredentialing.org/NurseSpecialities/Informatics.aspx American Medical Informatics Association. (2009). Nursing informatics. Retrieved February 25, 2013 from http://www.amia.org/programs/working-groups/nursing-informatics

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