Unveiling CPR training challenges in nursing education: Pedagogical strategies for success.

AIM: This study explored the challenges nursing students face while learning CPR and identified experiential learning strategies to address these challenges. BACKGROUND: Nursing students often experience challenges and anxiety during clinical learning, including CPR training. Given the experimental nature of CPR training, experiential learning models like mARC can significantly enhance the learning experience by addressing these prevalent challenges. DESIGN: This study adopts an interpretivist approach within a qualitative methodology and uses a phenomenological design. METHOD: Semi-structured interviews and the Delphi method were used to gather firsthand experiences from 37 educational supervisors, nursing professors and nursing students undergoing CPR clinical training at five public medical universities. RESULTS: Four main challenges and eighteen sub-challenges of CPR training were identified, elaborated and modeled. Additionally, thirteen experiential learning strategies, based on the mARC experiential learning model (more Authentic, Reflective, Collaborative), were mapped to address these challenges. CONCLUSIONS: Among the four main challenges of CPR training identified by this study, the lack of pedagogy appears to be the underlying cause of the other three. This underscores the significance of integrating effective pedagogical approaches into nurse education strategies and initiatives.

Text mining of hypertension researches in the west Asia region: a 12-year trend analysis.

More than half of the world population lives in Asia and hypertension (HTN) is the most prevalent risk factor found in Asia. There are numerous articles published about HTN in Eastern Mediterranean Region (EMRO) and artificial intelligence (AI) methods can analyze articles and extract top trends in each country. Present analysis uses Latent Dirichlet allocation (LDA) as an algorithm of topic modeling (TM) in text mining, to obtain subjective topic-word distribution from the 2790 studies over the EMRO. The period of checked studied is last 12 years and results of LDA analyses show that HTN researches published in EMRO discuss on changes in BP and the factors affecting it. Among the countries in the region, most of these articles are related to I.R Iran and Egypt, which have an increasing trend from 2017 to 2018 and reached the highest level in 2021. Meanwhile, Iraq and Lebanon have been conducting research since 2010. The EMRO word cloud illustrates 'BMI', 'mortality', 'age', and 'meal', which represent important indicators, dangerous outcomes of high BP, and gender of HTN patients in EMRO, respectively.