Engaging patients as teachers in a baccaulaureate nursing reproductive health care course: A qualitative study.

BACKGROUND: Teaching nursing students about the principles and practical application of person-centered care is an essential yet challenging component of nursing education. Integrating patients as teachers to share their personal stories of maternity care can elicit positive outcomes toward students achieving course objectives. OBJECTIVES: To determine how the educational experience of having patients as teachers in the classroom could influence students' awareness of patients' perceptions of their maternity care, delivering person-centered care and the roles of nursing in their future practice. DESIGN: Retrospective qualitative study of student reflections. SETTINGS: Reproductive health course within a BSN program. PARTICIPANTS: Ninety-nine second semester BSN student reflections. METHODS: Two course faculty and a qualitative nurse researcher conducted a thematic content analysis of written student reflections. RESULTS: Three primary themes emerged from the students' reflections of hearing patient and family advisors describe their maternity experiences: 1) awareness of the impact of nursing practice on patient and family well-being, 2) awareness of personal biases and emotions about difficulties in maternity care, and 3) appreciation to hear from patients directly as part of didactic coursework. CONCLUSIONS: Including patients as teachers is an enhanced method to aid nursing students in understanding the humanistic and impactful roles of nursing in the clinical setting.

Benefits of, Barriers to, and Needs for an Artificial Intelligence-Powered Medication Information Voice Chatbot for Older Adults: Interview Study With Geriatrics Experts.

BACKGROUND: One of the most complicated medical needs of older adults is managing their complex medication regimens. However, the use of technology to aid older adults in this endeavor is impeded by the fact that their technological capabilities are lower than those of much of the rest of the population. What is needed to help manage medications is a technology that seamlessly integrates within their comfort levels, such as artificial intelligence agents. OBJECTIVE: This study aimed to assess the benefits, barriers, and information needs that can be provided by an artificial intelligence-powered medication information voice chatbot for older adults. METHODS: A total of 8 semistructured interviews were conducted with geriatrics experts. All interviews were audio-recorded and transcribed. Each interview was coded by 2 investigators (2 among ML, PR, METR, and KR) using a semiopen coding method for qualitative analysis, and reconciliation was performed by a third investigator. All codes were organized into the benefit/nonbenefit, barrier/nonbarrier, and need categories. Iterative recoding and member checking were performed until convergence was reached for all interviews. RESULTS: The greatest benefits of a medication information voice-based chatbot would be helping to overcome the vision and dexterity hurdles experienced by most older adults, as it uses voice-based technology. It also helps to increase older adults' medication knowledge and adherence and supports their overall health. The main barriers were technology familiarity and cost, especially in lower socioeconomic older adults, as well as security and privacy concerns. It was noted however that technology familiarity was not an insurmountable barrier for older adults aged 65 to 75 years, who mostly owned smartphones, whereas older adults aged >75 years may have never been major users of technology in the first place. The most important needs were to be usable, to help patients with reminders, and to provide information on medication side effects and use instructions. CONCLUSIONS: Our needs analysis results derived from expert interviews clarify that a voice-based chatbot could be beneficial in improving adherence and overall health if it is built to serve the many medication information needs of older adults, such as reminders and instructions. However, the chatbot must be usable and affordable for its widespread use.