https://nursing.jmir.org/issue/feedJMIR Nursing2023-01-06T11:16:03-05:00JMIR Publications Inc.editor@jmir.orgOpen Journal Systems Unless stated otherwise, all articles are open-access distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work ("first published in JMIR Nursing...") is properly cited with original URL and bibliographic citation information. The complete bibliographic information, a link to the original publication on https://nursing.jmir.org/, as well as this copyright and license information must be included. Virtualizing care from hospital to community: Mobile health, telehealth, and digital patient care. https://nursing.jmir.org/2024/1/e54443/ Technology-Supported Guidance Models to Stimulate Nursing Students’ Self-Efficacy in Clinical Practice: Scoping Review2024-03-08T12:00:43-05:00Paula BresolinSimen A SteindalHanne Maria BingenJaroslav ZlamalJussara Gue MartiniEline Kaupang PetersenAndréa Aparecida Gonçalves Nes<strong>Background:</strong> In nursing education, bridging the gap between theoretical knowledge and practical skills is crucial for developing competence in clinical practice. Nursing students encounter challenges in acquiring these essential skills, making self-efficacy a critical component in their professional development. Self-efficacy pertains to individual’s belief in their ability to perform tasks and overcome challenges, with significant implications for clinical skills acquisition and academic success. Previous research has underscored the strong link between nursing students’ self-efficacy and their clinical competence. Technology has emerged as a promising tool to enhance self-efficacy by enabling personalized learning experiences and in-depth discussions. However, there is a need for a comprehensive literature review to assess the existing body of knowledge and identify research gaps. <strong>Objective:</strong> The aim of this study is to systematically map and identify gaps in published studies on the use of technology-supported guidance models to stimulate nursing students’ self-efficacy in clinical practice. <strong>Methods:</strong> This scoping review followed the framework of Arksey and O’Malley and was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR). A systematic, comprehensive literature search was conducted in ERIC, CINAHL, MEDLINE, Embase, PsycINFO, and Web of Science for studies published between January 2011 and April 2023. The reference lists of the included papers were manually searched to identify additional studies. Pairs of authors screened the papers, assessed eligibility, and extracted the data. The data were thematically organized. <strong>Results:</strong> A total of 8 studies were included and four thematic groups were identified: (1) technological solutions for learning support, (2) learning focus in clinical practice, (3) teaching strategies and theoretical approaches for self-efficacy, and (4) assessment of self-efficacy and complementary outcomes. <strong>Conclusions:</strong> Various technological solutions were adopted in the guidance models to stimulate the self-efficacy of nursing students in clinical practice, leading to positive findings. A total of 7 out of 8 studies presented results that were not statistically significant, highlighting the need for further refinement of the applied interventions. Nurse educators play a pivotal role in applying learning strategies and theoretical approaches to enhance nursing students’ self-efficacy, but the contributions of nurse preceptors and peers should not be overlooked. Future studies should consider involving users in the intervention process and using validated instruments tailored to the studies’ intervention objectives, ensuring relevance and enabling comparisons across studies. 2024-03-08T12:00:43-05:00 https://nursing.jmir.org/2024/1/e54561/ mHealth Gratitude Exercise Mindfulness App for Resiliency Among Neonatal Intensive Care Unit Staff: Three-Arm Pretest-Posttest Interventional Study2024-02-16T10:45:27-05:00Neil E PetersonMichael ThomasStacie HunsakerTevin StewartClaire J Collett<strong>Background:</strong> Health care is highly complex and can be both emotionally and physically challenging. This can lead health care workers to develop compassion fatigue and burnout (BO), which can negatively affect their well-being and patient care. Higher levels of resilience can potentially prevent compassion fatigue and BO. Strategies that enhance resilience include gratitude, exercise, and mindfulness. <strong>Objective:</strong> The purpose of this study was to determine if a 3-week daily resiliency practice, prompted via a gratitude, exercise, and mindfulness smartphone app, impacted the professional quality of life, physical activity, and happiness level of health care workers in a newborn intensive care unit setting. <strong>Methods:</strong> In total, 65 participants from a level III newborn intensive care unit at a regional hospital in the western United States completed this study. The Professional Quality of Life Scale, Physical Activity Vital Sign, and Subjective Happiness Score instruments were used to evaluate the effects of the mobile health (mHealth) intervention. Further, 2-tailed dependent paired <i>t</i> tests were used to evaluate participant pre- and postintervention instrument scores. Multiple imputation was used to predict scores of participants who practiced an intervention but did not complete the 3 instruments post intervention. <strong>Results:</strong> Dependent <i>t</i> tests using the original data showed that participants, as a whole, significantly improved in BO (<i>t</i><sub>35</sub>=2.30, <i>P</i>=.03), secondary trauma stress (STS; <i>t</i><sub>35</sub>=2.11, <i>P</i>=.04), and happiness (<i>t</i><sub>35</sub>=–3.72, <i>P</i><.001) scores. Compassion satisfaction (CS; <i>t</i><sub>35</sub>=–1.94, <i>P</i>=.06) and exercise (<i>t</i><sub>35</sub>=–1.71, <i>P</i>=.10) were trending toward, but did not reach, significance. Using the original data, only the gratitude intervention group experienced significant improvements (CS, BO, and happiness), likely due to the higher number of participants in this group. Analysis using imputed data showed that participants, as a whole, had significant improvements in all areas: CS (<i>t</i><sub>64</sub>=–4.08, <i>P</i><.001), BO (<i>t</i><sub>64</sub>=3.39, <i>P</i>=.001), STS (<i>t</i><sub>64</sub>=4.08, <i>P</i><.001), exercise (<i>t</i><sub>64</sub>=–3.19, <i>P</i>=.002), and happiness (<i>t</i><sub>64</sub>=–3.99, <i>P</i><.001). Looking at the intervention groups separately using imputed data, the gratitude group had significant improvements in CS, BO, STS, and happiness; the exercise group had significant improvements in STS and exercise; and the mindfulness group had significant improvements in CS and happiness. <strong>Conclusions:</strong> Phone app delivery of resilience-enhancing interventions is a potentially effective intervention model for health care workers. Potential barriers to mHealth strategies are the technical issues that can occur with this type of intervention. Additional longitudinal and experimental studies with larger sample sizes need to be completed to better evaluate this modality. 2024-02-16T10:45:27-05:00 https://nursing.jmir.org/2023/1/e53833/ Correction: Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study2023-10-31T13:00:04-04:00Kayleigh GordonKatie N DaintyCarolyn Steele GrayJane DeLacyAmika ShahEmily Seto2023-10-31T13:00:04-04:00 https://nursing.jmir.org/2023/1/e53832/ Correction: Exploring an Innovative Care Model and Telemonitoring for the Management of Patients with Complex Chronic Needs: Qualitative Description Study2023-10-25T13:00:04-04:00Kayleigh GordonCarolyn Steele GrayKatie N DaintyJane DeLacyPatrick WareEmily Seto2023-10-25T13:00:04-04:00 https://nursing.jmir.org/2023/1/e52913/ Addendum to the Acknowledgements: Experiences of Complex Patients with Telemonitoring in a Nurse-Led Model of Care: Multi-Method Feasibility Study2023-10-24T13:30:03-04:00Kayleigh GordonKatie N DaintyCarolyn Steele GrayJane DeLacyAmika ShahMyles ResnickEmily Seto2023-10-24T13:30:03-04:00 https://nursing.jmir.org/2023/1/e46058/ Nurses’ Roles in mHealth App Development: Scoping Review2023-10-17T09:30:06-04:00Caitlin J BakkerTami H WyattMelissa CS BrethGrace GaoLisa M JanewayMikyoung A LeeChristie L MartinVictoria L Tiase<strong>Background:</strong> Although mobile health (mHealth) apps for both health consumers and health care providers are increasingly common, their implementation is frequently unsuccessful when there is a misalignment between the needs of the user and the app’s functionality. Nurses are well positioned to help address this challenge. However, nurses’ engagement in mHealth app development remains unclear. <strong>Objective:</strong> This scoping review aims to determine the extent of the evidence of the role of nurses in app development, delineate developmental phases in which nurses are involved, and to characterize the type of mHealth apps nurses are involved in developing. <strong>Methods:</strong> We conducted a scoping review following the 6-stage methodology. We searched 14 databases to identify publications on the role of nurses in mHealth app development and hand searched the reference lists of relevant publications. Two independent researchers performed all screening and data extraction, and a third reviewer resolved any discrepancies. Data were synthesized and grouped by the Software Development Life Cycle phase, and the app functionality was described using the IMS Institute for Healthcare Informatics functionality scoring system. <strong>Results:</strong> The screening process resulted in 157 publications being included in our analysis. Nurses were involved in mHealth app development across all stages of the Software Development Life Cycle but most frequently participated in design and prototyping, requirements gathering, and testing. Nurses most often played the role of evaluators, followed by subject matter experts. Nurses infrequently participated in software development or planning, and participation as patient advocates, research experts, or nurse informaticists was rare. <strong>Conclusions:</strong> Although nurses were represented throughout the preimplementation development process, nurses’ involvement was concentrated in specific phases and roles. 2023-10-17T09:30:06-04:00 https://nursing.jmir.org/2023/1/e50791/ Correction: Uncovering Important Drivers of the Increase in the Use of Virtual Care Technologies in Nursing Care: Quantitative Analysis From the 2020 National Survey of Canadian Nurses2023-10-13T14:00:13-04:00Waldo BeauséjourSimon Hagens2023-10-13T14:00:13-04:00 https://nursing.jmir.org/2023/1/e51303/ Impact of an Electronic Medical Record–Connected Questionnaire on Efficient Nursing Documentation: Usability and Efficacy Study2023-09-25T09:45:10-04:00Kana KodamaShozo KonishiShirou ManabeKatsuki OkadaJunji YamaguchiShoya WadaKento SugimotoSakiko ItohDaiyo TakahashiRyo KawasakiYasushi MatsumuraToshihiro Takeda<strong>Background:</strong> Documentation tasks comprise a large percentage of nurses’ workloads. Nursing records were partially based on a report from the patient. However, it is not a verbatim transcription of the patient's complaints but a type of medical record. Therefore, to reduce the time spent on nursing documentation, it is necessary to assist in the appropriate conversion or citation of patient reports to professional records. However, few studies have been conducted on systems for capturing patient reports in electronic medical records. In addition, there have been no reports on whether such a system reduces the time spent on nursing documentation. <strong>Objective:</strong> This study aims to develop a patient self-reporting system that appropriately converts data to nursing records and evaluate its effect on reducing the documenting burden for nurses. <strong>Methods:</strong> An electronic medical record–connected questionnaire and a preadmission nursing questionnaire were administered. The questionnaire responses entered by the patients were quoted in the patient profile for inpatient assessment in the nursing system. To clarify its efficacy, this study examined whether the use of the electronic questionnaire system saved the nurses’ time entering the patient profile admitted between August and December 2022. It also surveyed the usability of the electronic questionnaire between April and December 2022. <strong>Results:</strong> A total of 3111 (78%) patients reported that they answered the electronic medical questionnaire by themselves. Of them, 2715 (88%) felt it was easy to use and 2604 (85%) were willing to use it again. The electronic questionnaire was used in 1326 of 2425 admission cases (use group). The input time for the patient profile was significantly shorter in the use group than in the no-use group (<i>P</i><.001). Stratified analyses showed that in the internal medicine wards and in patients with dependent activities of daily living, nurses took 13%-18% (1.3 to 2 minutes) less time to enter patient profiles within the use group (both <i>P</i><.001), even though there was no difference in the amount of information. By contrast, in the surgical wards and in the patients with independent activities of daily living, there was no difference in the time to entry (<i>P</i>=.50 and <i>P</i>=.20, respectively), but there was a greater amount of information in the use group. <strong>Conclusions:</strong> The study developed and implemented a system in which self-reported patient data were captured in the hospital information network and quoted in the nursing system. This system contributes to improving the efficiency of nurses’ task recordings. <strong>Trial Registration:</strong> 2023-09-25T09:45:10-04:00 https://nursing.jmir.org/2023/1/e50991/ Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing2023-09-20T09:16:15-04:00Soyoung ChoiThe rapidly evolving digital health landscape necessitates updates to existing self-care models in nursing. This viewpoint paper revisits and evaluates prevalent models, recognizing their comprehensive exploration of self-care concepts while also identifying a gap in the incorporation of personal informatics. It underscores the missing link of human-technology interplay, an essential aspect in understanding self-care practices within digital generations. The author delineates the role of personal health tracking in self-care and the achievement of desired health outcomes. Based on these insights, the author proposes a refined, digitized self-care model that incorporates mobile health (mHealth) technologies and self-tracking behaviors. The paper concludes by advocating the application of this model for future mHealth nursing interventions, providing a framework for facilitating patient self-care and improving health and well-being in the era of digital health.2023-09-20T09:16:15-04:00 https://nursing.jmir.org/2023/1/e44435/ Differing Effects of Implementation Leadership Characteristics on Nurses’ Use of mHealth Technologies in Clinical Practice: Cross-Sectional Survey Study2023-08-25T09:15:09-04:00Charlene Esteban RonquilloV Susan DahintenVicky BungayLeanne M Currie<strong>Background:</strong> Leadership has been consistently identified as an important factor in shaping the uptake and use of mobile health (mHealth) technologies in nursing; however, the nature and scope of leadership remain poorly delineated. This lack of detail about what leadership entails limits the practical actions that can be taken by leaders to optimize the implementation and use of mHealth technologies among nurses working clinically. <strong>Objective:</strong> This study aimed to examine the effects of first-level leaders’ implementation leadership characteristics on nurses’ intention to use and actual use of mHealth technologies in practice while controlling for nurses’ individual characteristics and the voluntariness of use, perceived usefulness, and perceived ease of use of mHealth technologies. <strong>Methods:</strong> A cross-sectional exploratory correlational survey study of registered nurses in Canada (n=288) was conducted between January 1, 2018, and June 30, 2018. Nurses were eligible to participate if they provided direct care in any setting and used employer-provided mHealth technologies in clinical practice. Hierarchical multiple regression analyses were conducted for the 2 outcome variables: intention to use and actual use. <strong>Results:</strong> The implementation leadership characteristics of first-level leaders influenced nurses’ intention to use and actual use of mHealth technologies, with 2 moderating effects found. The final model for intention to use included the interaction term for implementation leadership characteristics and education, explaining 47% of the variance in nurses’ intention to use mHealth in clinical practice (<i>F</i><sub>10,228</sub>=20.14; <i>P</i><.001). An examination of interaction plots found that implementation leadership characteristics had a greater influence on the intention to use mHealth technologies among nurses with a registered nurse diploma or a bachelor of nursing degree than among nurses with a graduate degree or other advanced education. For actual use, implementation leadership characteristics had a significant influence on the actual use of mHealth over and above the control variables (nurses’ demographic characteristics, previous experience with mHealth, and voluntariness) and other known predictors (perceived usefulness and perceived ease of use) in the model without the implementation leadership × age interaction term (β=.22; <i>P</i>=.001) and in the final model that included the implementation leadership × age interaction term (β=−.53; <i>P</i>=.03). The final model explained 40% of the variance in nurses’ actual use of mHealth in their work (<i>F</i><sub>10,228</sub>=15.18; <i>P</i><.001). An examination of interaction plots found that, for older nurses, implementation leadership characteristics had less of an influence on their actual use of mHealth technologies. <strong>Conclusions:</strong> Leaders responsible for the implementation of mHealth technologies need to assess and consider their implementation leadership behaviors because these play a role in influencing nurses’ use of mHealth technologies. The education level and age of nurses may be important factors to consider because different groups may require different approaches to optimize their use of mHealth technologies in clinical practice. 2023-08-25T09:15:09-04:00