To what extent are nurses willing to learn with technology-enhanced tools, such as online education, podcasts, webcasts, mobile learning, and realistic simulations? What factors influence their willingness? This article includes a description of a mixed methodology study that addressed these questions. Nurses of all ages indicated a willingness to learn with a variety of technological tools. Primary determinants of willingness were associated with ease of use, familiarity, convenience, and perceived benefit.

Download full-text PDF

Source
http://dx.doi.org/10.1097/NND.0b013e318217b447DOI Listing

Publication Analysis

Top Keywords

willingness preferences
4
preferences nurses
4
nurses learning
4
learning technology
4
technology extent
4
extent nurses
4
nurses learn
4
learn technology-enhanced
4
technology-enhanced tools
4
tools online
4

Similar Publications

Background: Psychological distress, such as depression and anxiety, impacts cardiovascular disease (CVD) prognosis and management. Illness comprehension is essential for effective treatment, but biases can lead to suboptimal outcomes. We explored psycho-cardiovascular disease (PCD) patient characteristics, with a specific focus on comprehension biases and treatment choices from patients' perspectives in China, to improve management strategies.

View Article and Find Full Text PDF

Antiretroviral therapy (ART) adherence is crucial for HIV viral suppression. Tenofovir diphosphate (TFV-DP) concentrations in dried blood spots (DBS) offer a potential tool for monitoring and supporting adherence. We assessed acceptability and preferences of fingerstick-based DBS collection and drug-level feedback among 224 people living with HIV (PLWH) in South Africa.

View Article and Find Full Text PDF

Objectives: This study aims to assess the awareness and acceptance of preventive and interceptive orthodontic treatment among Saudi perents.

Methods: The study used a 29-question questionnaire, covering parents' demographic data, parents' awareness of malocclusion and habits, and parents' acceptance of treatment. It included visuals of different malocclusions, normal occlusion, and specific habits.

View Article and Find Full Text PDF

Background: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!