Using Motivational Interviewing to Increase HIV PrEP Initiation and Adherence: a Scoping Review.

Despite evidence that pre-exposure prophylaxis (PrEP) reduces HIV risk, initiation and adherence remain low among vulnerable communities. Motivational interviewing (MI) can improve HIV prevention behaviors. However, limited research identifies how MI impacts PrEP uptake and adherence. This scoping review examines essential components of MI-based interventions that aimed to improve PrEP use, including the number and duration of sessions, counselor characteristics, and interview content. We searched four databases, PubMed, CINAHL Plus, Embase, and Web of Science, and reviewed 379 articles. Studies were considered if they (a) were published between 2012 and 2023, (b) used MI independently or part of a multi-component intervention strategy, and (c) focused on improving PrEP initiation or adherence. Seven articles met inclusion criteria. Regarding intervention components, the number of MI sessions varied and duration ranged between 15 and 60 min. MI counselors varied in credentialing and demographic characteristics. MI content included PrEP education, identifying initiation and adherence barriers, and strategizing ways to overcome barriers. MI is an important component of interventions that aim to improve PrEP initiation and adherence. However, the variability and limited details across studies hinder our ability to assess MI efficacy on PrEP initiation and adherence or replicate these approaches in future interventions.

Artificial intelligence (AI) applications in healthcare and considerations for nursing education.

AIM/OBJECTIVE: To review the current AI applications in healthcare and explore the implications for nurse educators in innovative integration of this technology in nursing education and training programs. BACKGROUND: There are a variety of Artificial Intelligence (AI) applications currently supporting patient care in many healthcare settings. A nursing workforce that leverages healthcare technology to enhance efficiency and accuracy of patient health outcomes is necessary. Nurse educators must understand the various uses of AI applications in healthcare to equip themselves to effectively prepare students to use the applications. DESIGN: Qualitative synthesis and analysis of existing literature. METHODS: Generative AI (ChatGPT) was used to support the development of a list of the current AI applications in healthcare. Each application was evaluated for relevance and accuracy. A literature review to define and understand the use of each application in clinical practice was completed. The search terms "AI" and "Health Education" were used to review the literature for evidence on educational programs used for training learners. RESULTS: Ten current applications of AI in healthcare were identified and explored. There is little evidence that outlines how to integrate AI education into educational training for nurses. CONCLUSION: A comprehensive multimodal educational approach that uses innovative learning strategies has potential to support the integration of AI concepts into nursing curriculum. The use of simulation and clinical practicum experiences to support experiential learning and to offer opportunities for practical application and training. Considerations for ethical use and appropriate critical evaluation of AI applications are necessary.