JMIR nursing最新文献

{"title":"Correction: Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study.","authors":"Kayleigh Gordon, Katie N Dainty, Carolyn Steele Gray, Jane DeLacy, Amika Shah, Emily Seto","doi":"10.2196/53833","DOIUrl":"10.2196/53833","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/36346.].</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e53833"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646668/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71429916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Exploring an Innovative Care Model and Telemonitoring for the Management of Patients with Complex Chronic Needs: Qualitative Description Study.","authors":"Kayleigh Gordon, Carolyn Steele Gray, Katie N Dainty, Jane DeLacy, Patrick Ware, Emily Seto","doi":"10.2196/53832","DOIUrl":"10.2196/53832","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/15691.].</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e53832"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632903/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Addendum to the Acknowledgements: Experiences of Complex Patients with Telemonitoring in a Nurse-Led Model of Care: Multi-Method Feasibility Study.","authors":"Kayleigh Gordon, Katie N Dainty, Carolyn Steele Gray, Jane DeLacy, Amika Shah, Myles Resnick, Emily Seto","doi":"10.2196/52913","DOIUrl":"10.2196/52913","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/22118.].</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e52913"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50159434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' Roles in mHealth App Development: Scoping Review.","authors":"Caitlin J Bakker, Tami H Wyatt, Melissa Cs Breth, Grace Gao, Lisa M Janeway, Mikyoung A Lee, Christie L Martin, Victoria L Tiase","doi":"10.2196/46058","DOIUrl":"10.2196/46058","url":null,"abstract":"<p><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.</p><p><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.</p><p><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.</p><p><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.</p><p><strong>Conclusions: </strong>Although nurses were represented throughout the preimplementation development process, nurses' involvement was concentrated in specific phases and roles.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e46058"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618897/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"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 Nurses.","authors":"Waldo Beauséjour,&nbsp;Simon Hagens","doi":"10.2196/50791","DOIUrl":"10.2196/50791","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/33586.].</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e50791"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41222300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of an Electronic Medical Record-Connected Questionnaire on Efficient Nursing Documentation: Usability and Efficacy Study.","authors":"Kana Kodama,&nbsp;Shozo Konishi,&nbsp;Shirou Manabe,&nbsp;Katsuki Okada,&nbsp;Junji Yamaguchi,&nbsp;Shoya Wada,&nbsp;Kento Sugimoto,&nbsp;Sakiko Itoh,&nbsp;Daiyo Takahashi,&nbsp;Ryo Kawasaki,&nbsp;Yasushi Matsumura,&nbsp;Toshihiro Takeda","doi":"10.2196/51303","DOIUrl":"10.2196/51303","url":null,"abstract":"<p><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.</p><p><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.</p><p><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.</p><p><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 (P<.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 P<.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 (P=.50 and P=.20, respectively), but there was a greater amount of information in the use group.</p><p><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.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":" ","pages":"e51303"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562973/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10074457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing.","authors":"Soyoung Choi","doi":"10.2196/50991","DOIUrl":"https://doi.org/10.2196/50991","url":null,"abstract":"<p><p>The 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.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e50991"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551777/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41175345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differing Effects of Implementation Leadership Characteristics on Nurses' Use of mHealth Technologies in Clinical Practice: Cross-Sectional Survey Study.","authors":"Charlene Esteban Ronquillo,&nbsp;V Susan Dahinten,&nbsp;Vicky Bungay,&nbsp;Leanne M Currie","doi":"10.2196/44435","DOIUrl":"https://doi.org/10.2196/44435","url":null,"abstract":"<p><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.</p><p><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.</p><p><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.</p><p><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 (F_10,228=20.14; P<.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; P=.001) and in the final model that included the implementation leadership × age interaction term (β=-.53; P=.03). The final model explained 40% of the variance in nurses' actual use of mHealth in their work (F_10,228=15.18; P<.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.</p><p><strong>Conclusions: </strong>Leaders responsible for the implementation of mHealth technologies need to assess and","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e44435"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10576705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Use of Social Media by Clinical Nurse Specialists at a Tertiary Hospital: Mixed Methods Study.","authors":"Alya Al-Rumhi,&nbsp;Samira Al-Rasbi,&nbsp;Aaliyah M Momani","doi":"10.2196/45150","DOIUrl":"https://doi.org/10.2196/45150","url":null,"abstract":"<p><strong>Background: </strong>Recently, many health care professionals, who use social media to communicate with patients and colleagues, share information about medical research and promote public health campaigns.</p><p><strong>Objective: </strong>This study aimed to examine the motives, barriers, and implementation of social media use among clinical nurse specialists in Oman.</p><p><strong>Methods: </strong>A mixed methods study was conducted among 47 clinical nurse specialists at Sultan Qaboos University Hospital between November and December 2020. Qualitative data were collected using an open-ended questionnaire and analyzed using thematic analysis, and quantitative data were collected with a questionnaire and analyzed using SPSS (version 21.0; IBM Corp).</p><p><strong>Results: </strong>Of the 47 clinical nurse specialists surveyed, 43 (91.5%) responded. All respondents reported using social media applications, with WhatsApp being the most commonly used platform. Most respondents (n=18, 41.9%) spent 1-2 hours per day on social media. The main motives for using social media were increasing knowledge, communication, reaching patients easily, and reducing the number of hospital visits. The main barriers to social media use were privacy concerns, time constraints, and a lack of awareness of legal guidelines for social media use in the workplace. All participants requested clear rules and regulations regarding the use of social media among health care providers in the future.</p><p><strong>Conclusions: </strong>Social media has the option to be a powerful institutional communication and health education tool for clinical nurse specialists in Oman. However, several obstacles must be addressed, including privacy concerns and the need for clear guidelines on social media use in the workplace. Our findings suggest that health care institutions and clinical nurse specialists must work together to overcome these impediments and leverage the benefits of social media for health care.Bottom of Form.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"6 ","pages":"e45150"},"PeriodicalIF":0.0,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10198727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the Pedagogical Landscape: Exploring the Implications of Artificial Intelligence (AI) and Chatbots in Nursing Education (Preprint)","authors":"Muthuvenkatachalam Srinivasan, Ambili Venugopal, Latha Venkatesan","doi":"10.2196/52105","DOIUrl":"https://doi.org/10.2196/52105","url":null,"abstract":"","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139349462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}