Study Design Randomized controlled trial. Objective The purpose of this study was to identify the effect of a theory-based educational intervention program on the level of knowledge and Health Belief Model (HBM) constructs among nurses in terms of the adoption of preventive behaviors. Methods This pretest/posttest quasi-experimental study was conducted on 100 nurses who were recruited through the multistage sampling method. The nurses were randomly assigned to intervention and control groups. The participants were evaluated before and 3 months after the educational intervention. A multidimensional questionnaire was prepared based on the theoretical structures of the HBM to collect the data. Data analysis was performed using descriptive and inferential statistics. Results There was no significant difference in the mean values of HBM constructs prior to the intervention between the intervention and control groups. However, after the administration of the educational program, the mean scores of knowledge and HBM constructs significantly increased in the intervention group when compared with the control group (p < 0.0001). Conclusion The results of the current study revealed that the educational intervention based on the HBM was effective in improving the nurses' scores of knowledge and HBM constructs; therefore, theory-based health educational strategies are suggested as an effective alternative to traditional educational interventions.
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http://dx.doi.org/10.1055/s-0035-1555658 | DOI Listing |
J Am Assoc Nurse Pract
January 2025
Division of Cardiology, Department of Medicine, Duke Health Integrated Practice, Duke University Health System, Durham, North Carolina.
Background: Increasing patient demand and clinician burnout in rheumatology practices have highlighted the need for more efficient models of care (MOC). Interprofessional collaboration is essential for improving patient outcomes and clinician satisfaction.
Local Problem: Our current MOC lacks standardization and formal integration of Nurse Practitioners (NPs) and Physician Assistants (PAs), resulting in reduced clinician satisfaction and limited patient access.
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFJ Med Chem
January 2025
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.
View Article and Find Full Text PDFPsychol Bull
January 2025
Department of Kinesiology, University of North Carolina at Greensboro.
This meta-review provides the first meta-analytic evidence from published meta-analyses examining the effectiveness of acute exercise interventions on cognitive function. A multilevel meta-analysis with a random-effects model and tests of moderators were performed in R. Thirty systematic reviews with meta-analyses (383 unique studies with 18,347 participants) were identified.
View Article and Find Full Text PDFPersonal Disord
January 2025
Laboratoire sur les Interactions Cognition, Action, Émotion (LICAE), UFR STAPS, Universite Paris-Nanterre.
This study aimed to assess measurement invariance for the Five-Factor Inventory for (Oltmanns & Widiger, 2020) across nine national samples from four continents ( = 6,342), and to validate a French translation in seven French-speaking national samples. All were convenience samples of adults. Exploratory factor analyses supported a four-factor structure in the French-speaking Western samples (Belgium, Canada, France, and Switzerland) while a three-factor structure was preferred in the French-speaking African samples (Burkina Faso and Togo), and no adequate structure was found in the Indian sample.
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