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.
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http://dx.doi.org/10.1186/s12978-021-01096-w | DOI Listing |
BMC Public Health
January 2025
Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Fukuoka, Japan.
Background: During the COVID-19 pandemic, information and circumstances changed from moment to moment, including the accumulation of scientific knowledge, the emergence of variants, social tolerance, and government policy. Therefore, it was important to adapt workplace countermeasures punctually and flexibly based on scientific evidence and according to circumstances. However, there has been no assessment of changes in workplace countermeasures.
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January 2025
Department of Craniomaxillofacial Surgery, Plastic Surgery Hospital, CAMS&PUMC (Chinese Academy of Medical Sciences and Peking Union Medical College), Beijing, 100144, China.
Background: Bibliometric analyses of software applications in plastic surgery are relatively limited. This study aims to address this gap by summarizing current research trends and providing insights that may guide future developments in this field.
Methods: Data were retrieved from the Web of Science Core Collection.
J Pediatr Surg
December 2024
University of Michigan Department of Surgery, Division of Pediatric Surgery, 1540 East Hospital Drive Ann Arbor, MI 48109-4211, USA. Electronic address:
Background: Pediatric Surgical Critical Care (PSCC) is a unique specialty incorporating fundamental principles of surgical, neonatal, and pediatric critical care. This study aims to characterize the current landscape of PSCC training to identify opportunities for educational standardization and improvement.
Methods: An anonymous electronic survey-based assessment was distributed to the program directors (PDs) of all current ACGME-accredited PSCC fellowships (n = 14).
BMJ
January 2025
Department of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands
Objective: To summarise available evidence on time to nursing home admission and death among people with dementia, and to explore prognostic indicators.
Design: Systematic review and meta-analysis.
Data Sources: Medline, Embase, Web of Science, Cochrane, and Google Scholar from inception to 4 July 2024.
Brain Behav
January 2025
Department of Neurology, Tianjin Kanghui Hospital, Tianjin, China.
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