Purpose of the Study
The purpose of the study is to show the psychometric properties, which include the reliability and validity of the decision fatigue scale (DFS). Besides, it also aimed to scrutinize the psychometric properties of the DFS during the COVID-19 pandemic in samples of working nurses. By examining the report of psychometric properties, nurses recruited will show a scale of reliability and validity of decision fatigue.
Type of Research and the Design
The article utilized a descriptive research design which was used in the examination of the psychosomatic effect of working as a nurse during the times of the COVID-19 outbreak. It was a subordinate analysis of another study that used a descriptive research design. Its design is directed by the reinforcement of observational readings in Epidemiology, which involved a sample of adults over 18 years who were English-speaking staff nurses (Pignatiello et al., 2022). This research was remotely done on the internet. Sociodemographic forms were used in the preliminary study before being analyzed through a cross-sectional descriptive research study.
Since the study was conducted online, a convenient sample size of one hundred and sixty nurses was conscripted to perform the research study in the United States. The nurses recruited were supposed to work as nurses during the COVID-19 outbreak (Allan et al., 2019). The sample utilized were working nurses who completed a demographic questionnaire which was a measure of decision fatigue. They were to provide diverse information for analysis.
The study used a sociodemographic form to collect information among 160 working nurses during times of the COVID-19 outbreak. The data was collected by participants filling out a sociodemographic form (Hirshleifer et al., 2019). The form entailed age, race, gender and education level, geographical location, years of experience, and practice setting (Lee, 2021). The data was completed on subjective measures of decision fatigue, traumatic stress, and the nursing practice environment.
The exploratory factor analysis (EFA), internal consistency reliability, and correlation coefficient were computed to show the DFS’s reliability and validity. The study also used descriptive statistics, including mean, standard deviation, and data frequencies (Pignatiello et al., 2022). For validity, it examined the internal structure and concurrent and discriminant validity. The study computed a Cronbach’s coefficient to define the DFS’S internal reliability and consistency for testing reliability.
The only limitation of the study was that the nurses who were to be used were supposed to be working during the pandemic, causing a clashing of interests.
The analysis showed that EFA yielded a version of DFS that is strappingly interrelated with traumatic stress and temperately associated with the nursing practice environment, presenting an internal consistency. The finding showed that DFS is strappingly interrelated to traumatic stress symptoms and abstemiously correlated to the nurturing work environment (Pignatiello et al., 2022). This study delivered an indication of DFS’s reliability and validity in registered nurses working during a time of the pandemic. The study gives evidence of valid assessment instruments and reliability for decision fatigue which is used as a measure of burden for decision-making by nurses. This finding shows that for decision fatigue, the reliability and validity are stronger among working nurses registered during the COVID-19 pandemic (Pignatiello et al., 2020). Moreover, the finding shows that a relationship between the nursing work environment and traumatic stress may be an amendable objective for the decision-making of clinical nurses.
Reading Research Literature
This study presents the literature on the relationship between the nursing work environment and traumatic stress concerning decision fatigue. The study enhances the superiority of decision-making among nurses. The finding shows the influence of being employed as a nurse on traumatic stress in decision fatigue (Persson et al., 2019). Psychometric validation, which displays decision fatigue, presents a sample of working nurses. In this decision fatigue, the higher symptoms are an unhealthy nursing environment and traumatic stress, which can be modified by determinants of psychological outcomes in clinical nurses.
Allan, J. L., Johnston, D. W., Powell, D. J., Farquharson, B., Jones, M. C., Leckie, G., & Johnston, M. (2019). Clinical decisions and time since rest break: An analysis of nurse decision fatigue. Health Psychology, 38(4), 318.
Hirshleifer, D., Levi, Y., Lourie, B., & Teoh, S. H. (2019). Decision fatigue and heuristic analyst forecasts. Journal of Financial Economics, 133(1), 83–98.
Lee, X. Q. (2021). Decision Fatigue Effect. In Decision Making in Emergency Medicine (p. 103–110). Springer, Singapore.
Persson, E., Barrafrem, K., Meunier, A., & Tinghög, G. (2019). The effect of decision fatigue on surgeons’ clinical decision making. Health Economics, 28(10), 1194-1203.
Pignatiello, G. A., Martin, R. J., & Hickman Jr, R. L. (2020). Decision fatigue: A conceptual analysis. Journal of Health Psychology, 25(1), 123-135.
Pignatiello, T., E., O’Brien, J., Kraus, N., & Hickman, R. L. (2022). Decision fatigue among clinical nurses during the COVID‐19 pandemic. Journal of Clinical Nursing, 31(7-8), p. 869–877.