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Opioid overdose deaths remain a major public health concern in the United States and led to the recent changes in regulations that allow nurse practitioners (NPs) to prescribe buprenorphine without the previously required Drug Addiction Treatment Act waiver. Previously, waiver requirements included 24 hours of opioid use disorder (OUD) and medications for OUD (MOUD) training. Although this training is no longer required, NPs need education related to providing nonstigmatizing care to individuals with OUD and safe MOUD prescribing practices. A combination of online didactic modules, in-person simulation activities, and experiential learning was provided to psychiatric mental health NP (PMHNP) and family NP (FNP) students enrolled in a Doctor of Nursing Practice (DNP) program. OUD was presented through a chronic care lens to normalize treatment and decrease stigma, and harm reduction principles were included to increase safe prescribing of MOUD. Fifty-six students completed the didactic training, 51 students participated in the simulation, and 11 students completed shadowing experiences with an experienced MOUD provider. Psychiatric mental health NP and FNP graduates of this DNP program have the knowledge and skills to provide MOUD to individuals struggling with OUD, thus potentially increasing access to care and decreasing overdose deaths. [ABSTRACT FROM AUTHOR]

Background: Pediatric blood and marrow transplant (PBMT) patients experience significant symptom distress. Mobile health (mHealth) technologies can be leveraged to improve understanding of the patient's symptom experience by providing continuous, real-time, in situ, patient-generated symptom data. This rich data stream can subsequently enhance symptom management strategies. However, limited research has been conducted in this area. Objectives: This pilot study seeks to (a) explore the feasibility of integrating mHealth technologies to monitor symptom data for PBMT patients and (b) evaluate the study design, measures, and procedures. Methods: An exploratory longitudinal design was employed to assess the feasibility of monitoring 10 PBMT patients' symptoms using data from two mHealth technologies: (a) a smartphone mHealth application (app) to collect symptom data and (b) a wearable tracking device (Apple watch) to collect physiological data. Feasibility was measured as usability and acceptability. Monthly patient interviews and an end-of-study feasibility survey were employed and analyzed to further understand reasons for sustained interest in and attrition from the study. Results: Overall usability of the wearable was 51%, and app was 56%. Children reported devices were easy to use and acceptable. The study demonstrated acceptability with an enrollment rate of 83% and an attrition rate of 30%, with 70% of the children remaining in the study for at least 40 days. Discussion: This pilot study is among the first to explore the feasibility of using mobile technologies to longitudinally obtain patient-generated symptom data to enhance understanding of the PBMT symptom experience. In addition, it will improve our understanding of how these data present, interact, and cluster together throughout the posttransplant period. [ABSTRACT FROM AUTHOR]

Background: Pediatric blood and marrow transplant (PBMT) patients experience significant symptom distress, and the use of mobile health (mHealth) technologies may enhance symptom management by providing patient-generated health data to foster personalized health strategies. Objectives: The aim of this study was to present a study protocol to explore feasibility, acceptability, and usability of integrating mHealth technologies to collect and monitor symptom data for PBMT patients. Methods: An exploratory mixed-methods design is employed for 20 PBMT patients to monitor symptoms using real-time data from two mHealth devices: (a) a self-developed mHealth application and (b) a wearable tracking device. Patient-Reported Outcomes Measurement Information System surveys for fatigue, pain, and sleep disturbance are obtained monthly. Interviews are conducted to obtain further feasibility and usability data. Results: The study began in October 2017; data collection should be completed in 2018. Feasibility and usability results to monitor and record symptom-related data daily via mobile devices will be reported. Patient-Reported Outcomes Measurement Information System surveys and interviews will further explore patients' symptoms and experiences with the mobile devices. Discussion: This study will be among the first to explore the feasibility, acceptability, and usability of integrating multiple mHealth technologies to obtain patient-generated symptom data for the PBMT population. Results will enhance our understanding of how these data present, interact, and cluster together throughout the posttransplant period for these children and lead to symptom management strategies. Results will focus on a high-risk population that potentially stands to benefit from the use of mobile technologies. [ABSTRACT FROM AUTHOR]

This article provides an overview of the use of telepresence robots in clinical practice and describes an evaluation of an educational project in which distance-based nurse practitioner students used telepresence robots in clinical simulations with on-campus Accelerated Bachelor of Science in Nursing students. The results of this project suggest that the incorporation of telepresence in simulation is an effective method to promote engagement, satisfaction, and self-confidence in learning. [ABSTRACT FROM AUTHOR]

Children with life-threatening illness (C-LTI) experience considerable symptom distress. Mobile technology may offer opportunities to better obtain symptom data that will lead to better symptom management. A mixed-methods study was conducted to explore the feasibility of monitoring and visualizing symptoms using 2 mobile health devices in C-LTI. Participants engaged with the Apple Watch 56% and recorded in the study app 63% of their study days. Our findings showed feasibility of using mobile technology for monitoring symptoms and further explored opportunities to visualize these data showing symptom occurrences, patterns, and trajectories in C-LTI., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

We describe a pilot study that incorporated an innovative hybrid simulation designed to increase the perception of realism in a high-fidelity simulation. Prelicensure students (N = 12) cared for a manikin in a simulation lab scenario wearing Google Glass, a wearable head device that projected video into the students' field of vision. Students reported that the simulation gave them confidence that they were developing skills and knowledge to perform necessary tasks in a clinical setting and that they met the learning objectives of the simulation. The video combined visual images and cues seen in a real patient and created a sense of realism the manikin alone could not provide.