#00144768

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St. Augustine's University *

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1222

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Nursing

Date

Nov 24, 2024

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docx

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6

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1 Quantitative Studies Author Name Institutional Affiliation Course Number and Name Instructor Name Date
2 Quantitative Studies Quantitative research is a study that is both empirical and systematic and uses computational, mathematical, and statistical techniques to investigate observable phenomena. By contrast, the deductive method is concerned with formulating a hypothesis based on the initial concepts. Following that, the hypothesis is investigated using a research approach developed by the researcher. Quantitative research seeks to test hypotheses by collecting and analyzing data (Brannen, 2017). Questionnaires, internet surveys, and sample procedures are all used to collect data. The quantitative data measurement method is critical to the research process because it establishes a link between the analytical expression of quantitative connections and empirical findings. Quantitative research uses a variety of methodologies, including cross- sectional surveys, correctional studies, descriptive studies, and quasi-experimental studies. This research will critically evaluate two quantitative publications that address the PICOT issue: What role does overtime work play in nursing tiredness when nurses work in acutely staffed health care facilities? Background of the study The contemporary nursing practice is overburdened with work as the need for medical services increases. Healthcare personnel is required to work long hours through overtime and extended shifts. The administration has little idea how these prolonged hours affect the nurses' well-being. According to Cho et al. (2015) study indicates a strong correlation between patient outcomes and demographic variables. South Korea has a dearth of research compared to other countries such as the UK, China, and the United States. Cho et al. (2015) investigate the impact of education, nursing staffing, and work environment on patient outcomes, particularly mortality, in South Korea.
3 On the other hand, when nurses work long hours, they grow exhausted and may suffer job-related injuries such as puncture wounds and needle-sticks. These injuries are common in nursing homes, and nothing has been done to avoid them. Safety measures are ineffective, necessitating more research into the risk factors for nursing injuries. Lo et al. (2016) conducted a study to determine whether or not chronic insomnia and lengthy work hours among Taiwanese nurses are associated with nurse injuries. Article Support Cho et al. (2015) found that the nurse work environment substantially impacts patient outcomes by increasing mortality in South Korean health facilities, consistent with the findings of earlier studies conducted in other countries. The researchers examined nurse work environments by commenting on the nurses' work experiences and turnover. After barely one year on the job, nurses resign. This demonstrates that the workplace environment for nurses is undesirable, which may be a result of lengthy shifts and extra hours that place an undue strain on them. The outcomes of this study bolster my PICOT question by shedding light on the influence of the nursing environment on the quality of care given. Chronic insomnia is a sleep problem that significantly impairs one's quality of life. Due to the long shifts and overtime work, healthcare workers are at a high risk of getting insomnia symptoms. A thorough understanding of the factors contributing to insomnia in nurses is critical for assisting care workers in Thailand in improving their quality of life via enough sleep. Lo et al. (2016) identify three distinct forms of insomnia symptoms: early morning awakenings, trouble sleeping, and difficulties sustaining sleep. Other burden indicators in the workplace were collected as part of the study. The outcomes of this study are critical to my PICOT inquiry, which
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4 attempted to determine the effect of overtime labor on nursing exhaustion compared to an eight- hour shift. Methods Cho et al. (2015) linked hospital data with survey data from patient discharge data (=76,036) and nursing staff (N=1024) from 14 South Korean hospitals with over 700 beds. The data-gathering period spanned the entire year of 2008, from January 1st to December 31st. Following that, logistic regression models were used to assess the data. On the other hand, Lo et al. (2016) used a cross-sectional survey design. The study enrolled 19 386 nurses who worked full-time in 104 Taiwanese hospitals. Between July and December 2014, data were collected from participants using anonymous questionnaires. The Yes or No question criterion was used to identify nurses who had sustained acute injuries, needle- stick injuries, or chronic insomnia. Then, using multivariate logistic regression models, the effect of long shifts and chronic insomnia on nurse injuries was determined. Results Cho et al. (2015) demonstrated through risk-adjusted models that patient mortality was strongly related to education, nursing staffing, and working condition. The dating site rate was 5% for each nurse assigned to a patient during the first 30 days. The findings indicate that nurses working in better conditions experience a 50% reduction in inpatient mortality. Additionally, a 10% increase in BSN nurses is associated with a 9% decrease in inpatient mortality.
5 On the other hand, Lo et al. (2016) discovered that more than 70-percent of understudy nurses worked long hours in the preceding week. 15.5 percent reported chronic insomnia, 38.8 percent reported sharp injuries, and 22.4 percent reported needle-stick injuries. The logistic regression model demonstrated that nurses who work long shifts are more likely to suffer from sharp injuries than those who work fewer hours. Outcome Comparison Cho et al. (2015) found that factors such as educational level, nurse staffing, and working conditions all significantly impact patient mortality. Hospital-related deaths can be reduced by enhancing nurse education, staffing, and the workplace environment. Lo et al. (2016) discovered that Taiwanese nurses frequently sustain injuries due to long work hours and chronic insomnia. Working long hours has been identified as the primary cause of insomnia, increasing the risk of injury (Lo et al., 2016). The findings from these two quantitative studies are similar in that they investigate the nurse's workplace environment's impacts on the nurse's well-being. In order to conduct a thorough examination of the factors under consideration, logistic regression models were used. Conclusion Long shifts in nursing practice can have a negative impact on nurses' health and well- being over time, resulting in nurse injuries or poor patient outcomes. These two quantitative journal articles were critical to answering my PICOT question since the researchers conducted systematic and empirical investigations that thoroughly examined the nursing work environment.
6 References Brannen, J. (2017). Combining qualitative and quantitative approaches: an overview. Mixing methods: Qualitative and quantitative research , 3-37. Cho, E., Sloane, D., Kim, E., Kim, S., Choi, M., & Yoo, I. et al. (2015). Effects of nurse staffing, work environments, and education on patient mortality: An observational study. International Journal Of Nursing Studies , 52 (2), 535-542. https://doi.org/10.1016/j.ijnurstu.2014.08.006 Lo, W., Chiou, S., Huang, N., & Chien, L. (2016). Long work hours and chronic insomnia are associated with needle-stick and sharps injuries among hospital nurses in Taiwan: A national survey. International Journal Of Nursing Studies , 64 , 130-136. https://doi.org/10.1016/j.ijnurstu.2016.10.007
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