Psychiatric nursesʼ knowledge, self-efficacy, and outcome expectancy in evidence-based practice: a cross-sectional study

2012 ◽  
Vol 10 (3) ◽  
pp. 260
Author(s):  
T M Hung ◽  
T Y Yang ◽  
H C Sung ◽  
Y J Yeh ◽  
Y P Chien ◽  
...  
2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Asrat Hailu Dagne ◽  
Mekonnen Haile Beshah ◽  
Bekalu Getnet Kassa ◽  
Eyaya Habtie Dagnaw

Abstract Background Implementation of evidence-based practice is crucial to enhance quality health care, professional development, and cost-effective health service. However, many factors influence the implementation of evidence-based practice. Therefore, this study aimed to assess the implementation of evidence-based practice and associated factors among nurses and midwives. Methods Institutional-based cross-sectional study design was conducted to assess the implementation of evidence-based practice and associated factors from February 15 to March 15, 2019, among 790 nurses and midwives. Data were entered into EpiData version 3.1 then exported to SPSS version 20 for statistical analysis. Categorical variables were presented as frequency tables. Continuous variables were presented as descriptive measures, expressed as mean and standard deviation. Cronbach’s alpha was used to measure reliability, mean, standard deviation, and inter-items correlation of the factors. Independent variables with a probability value (P-value) of less than 0.2 in the Chi-square analysis were entered in the multivariable logistic regression model. Statistically significant associated factors were identified at probability value (P-value) less than 0.05 and adjusted odds ratio with a 95% confidence interval. Results The mean age of participants was 28.35 (SD ± 4.5) years. This study revealed that 34.7% (95% CI 31.5–38%) of participants implemented evidence-based practice moderately or desirably. Age of participants (AOR = 5.98, CI 1.34–26.7), barriers of implementation of evidence-based practice (AOR = 4.8, CI 2.2–10.6), the attitude of participants (AOR = 5.02, CI 1.2–21.5), nursing/midwifery work index (AOR = 3.9, CI 1.4–10.87), self-efficacy of implementation of evidence-based practice skills (AOR = 12.5, CI 5.7–27.5) and knowledge of participants (AOR = 3.06, CI 1.6–5.77) were statistically significant associated factors of implementation of evidence-based practice Concussion Implementation of evidence-based practice of nurses and midwives was poor. Age of participants, barriers of implementation of evidence-based practice, the attitude of participants, self-efficacy of implementation of evidence-based practice skills, nursing/midwifery work index, and knowledge of participants were found to be predictors of implementation of evidence-based practice. Insufficient time and difficulty in judging the quality of research papers and reports were the most common barriers to the implementation of evidence-based practice.


2019 ◽  
Vol 34 (6) ◽  
pp. 521-527
Author(s):  
Ibrahim Saleh Al-Busaidi ◽  
Saud Zahran Al Suleimani ◽  
Jonas Usbal Dupo ◽  
Nasser Khalfan Al Sulaimi ◽  
Vijayalakshmi Gopalan Nair

Author(s):  
KUNHUA LEE ◽  
Chia-Yu Lin ◽  
Jing Tsao ◽  
Lien Fang Hsieh

Objectives: This study proposes a model that integrates three determinants of social cognitive theory (SCT) to explain the impact of FoMO on SNS usage. Design: A cross-sectional study is conducted using data for 259 participants recruited from a website. Main Outcome Measures: The analysis focuses on FoMO, social influence, positive outcome expectancy, refusal self-efficacy, and SNS-related behavior cloud-based sites. Data are examined using descriptive analysis and structural equation modeling. Results: The proposed model reported proper goodness of fit. FoMO does not directly or indirectly impact SNS usage through the determinants of SCT. However, social influence and refusal self-efficacy have a direct effect. Conclusions: The roles of the three determinants of SCT vary by stage of SNS usage. FoMO and refusal self-efficacy are more strongly related with SNS addiction. Further research, particularly longitudinal and intervention studies, is needed to examine the effects of specific factors on SNS addiction.


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