JMIR nursingPub Date : 2021-12-02DOI: 10.2196/35363
Sara Karnehed, L. Erlandsson, Margaretha Norell Pejner
{"title":"Nurses’ Perspectives on an Electronic Medication Administration Record in Home Health Care: Qualitative Interview Study","authors":"Sara Karnehed, L. Erlandsson, Margaretha Norell Pejner","doi":"10.2196/35363","DOIUrl":"https://doi.org/10.2196/35363","url":null,"abstract":"Background eHealth is considered by policy makers as a prerequisite for meeting the demands of health care from the growing proportion of older people worldwide. The expectation about what the efficiency of eHealth can bring is particularly high in the municipal home health care sector, which is facing pressure regarding resources because of, for example, earlier discharges from hospitals and a growing number of patients receiving medications and treatments at home. Common eHealth services in home health care are electronic medication administration records (eMARs) that aim to communicate delegated tasks between professionals. However, there is an extensive gap in the research on how technology affects and is experienced by home health care professionals. Objective The objective of this paper is to shed light on how home care nurses experience eMARs in a Swedish municipality. Methods This qualitative interview study was conducted among home health care nurses using eMARs to facilitate communication and signing of delegated nursing tasks. The analysis of the interviews was performed using constructivist grounded theory, according to Charmaz. Results Of the 19 day-employed nurses in the municipality where an eMAR was used, 16 (84%) nurses participated in the study. The following two categories were identified from the focus group interviews: nurses become monitors and slip away from the point of care. The nurses experienced that they became monitors of health care through the increased transparency provided by the eMAR and the measurands they also applied, focusing on the quantitative aspects of the delegated nursing tasks rather than the qualitative aspects. The nurses experienced that their monitoring changed the power relations between the professions, reinforcing the nurses’ superior position. The experience of the eMAR was regarded as transitioning the nurses’ professional role—away from the point of care and toward more administration—and further strengthened the way of managing work through delegation to health care assistants. Conclusions Previous analyses of eHealth services in health care showed that implementation is a complex process that changes health care organizations and the work of health care professionals in both intended and unintended ways. This study adds to the literature by examining how users of a specific eHealth service experience its impacts on their daily work. The results indicate that the inscribed functions in an eHealth service may affect the values and priorities where the service is in use. This presents an opportunity for future research and for health care organizations to assess the impacts of specific eHealth services on health care professionals’ work and to further examine the effects of inscribed functions in relation to how they may affect actions and priorities at individual and organizational levels.","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45000133","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}
JMIR nursingPub Date : 2021-08-09DOI: 10.2196/28139
Myra Schmaderer, Jennifer N Miller, Elizabeth Mollard
{"title":"Experiences of Using a Self-management Mobile App Among Individuals With Heart Failure: Qualitative Study.","authors":"Myra Schmaderer, Jennifer N Miller, Elizabeth Mollard","doi":"10.2196/28139","DOIUrl":"https://doi.org/10.2196/28139","url":null,"abstract":"<p><strong>Background: </strong>Interventions that focus on the self-management of heart failure are vital to promoting health in patients with heart failure. Mobile health (mHealth) apps are becoming more integrated into practice to promote self-management strategies for chronic diseases, optimize care delivery, and reduce health disparities.</p><p><strong>Objective: </strong>The purpose of this study was to explore the experience of using a self-management mHealth intervention in individuals with heart failure to inform a future mHealth intervention study.</p><p><strong>Methods: </strong>This study used a qualitative descriptive design. Participants were enrolled in the intervention groups of a larger parent study using a mobile app related to self-management of heart failure. The purposive, convenient, criterion-based sample for this qualitative analysis comprised 10 patients who responded to phone calls and were willing to be interviewed. Inclusion criteria for the parent study were adults who were hospitalized at Nebraska Medical Center with a primary diagnosis and an episode of acute decompensated heart failure; discharged to home without services such as home health care; had access to a mobile phone; and were able to speak, hear, and understand English.</p><p><strong>Results: </strong>Study participants were middle-aged (mean age 55.8, SD 12 years; range 36-73 years). They had completed a mean of 13.5 (SD 2.2) years (range 11-17 years) of education. Of the 10 participants, 6 (60%) were male. Half of them (5/10, 50%) were New York Heart Association Classification Class III patients and the other half were Class IV patients. The intervention revealed four self-management themes, including (1) I didn't realize, and now I know; (2) It feels good to focus on my health; (3) I am the leader of my health care team; and (4) My health is improving.</p><p><strong>Conclusions: </strong>Participants who used a self-management mHealth app intervention for heart failure reported an overall positive experience. Their statements were organized into four major themes. The education provided during the study increased self-awareness and promoted self-management of their heart failure. The mHealth app supported patient empowerment, resulting in better heart failure management and improved quality of life. Participants advocated for themselves by becoming the leader of their health, especially when communicating with their health care team. Finally, the mHealth app was used by the participants as a self-management tool to assist in symptom management and improve their overall health. Future research should study symptom evaluation, medication tracking, and possibly serve as a health provider communication platform to empower individuals to be leaders in their chronic disease management.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 3","pages":"e28139"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386366/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39324798","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}
JMIR nursingPub Date : 2021-08-05DOI: 10.2196/32647
Yanhong Dong, Mei Chun Yeo, Xiang Cong Tham, R. Danuaji, T. H. Nguyen, Arvind K Sharma, Komalkumar Rn, Meenakshi Pv, M. S. Tai, Aftab Ahmad, B. Tan, R. Ho, M. C. H. Chua, Vijay K. Sharma
{"title":"Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach","authors":"Yanhong Dong, Mei Chun Yeo, Xiang Cong Tham, R. Danuaji, T. H. Nguyen, Arvind K Sharma, Komalkumar Rn, Meenakshi Pv, M. S. Tai, Aftab Ahmad, B. Tan, R. Ho, M. C. H. Chua, Vijay K. Sharma","doi":"10.2196/32647","DOIUrl":"https://doi.org/10.2196/32647","url":null,"abstract":"Background As the COVID-19 pandemic evolves, challenges in frontline work continue to impose a significant psychological impact on nurses. However, there is a lack of data on how nurses fared compared to other health care workers in the Asia-Pacific region. Objective This study aims to investigate (1) the psychological outcome characteristics of nurses in different Asia-Pacific countries and (2) psychological differences between nurses, doctors, and nonmedical health care workers. Methods Exploratory data analysis and visualization were conducted on the data collected through surveys. A machine learning modeling approach was adopted to further discern the key psychological characteristics differentiating nurses from other health care workers. Decision tree–based machine learning models (Light Gradient Boosting Machine, GradientBoost, and RandomForest) were built to predict whether a set of psychological distress characteristics (ie, depression, anxiety, stress, intrusion, avoidance, and hyperarousal) belong to a nurse. Shapley Additive Explanation (SHAP) values were extracted to identify the prominent characteristics of each of these models. The common prominent characteristic among these models is akin to the most distinctive psychological characteristic that differentiates nurses from other health care workers. Results Nurses had relatively higher percentages of having normal or unchanged psychological distress symptoms relative to other health care workers (n=233-260 [86.0%-95.9%] vs n=187-199 [74.8%-91.7%]). Among those without psychological symptoms, nurses constituted a higher proportion than doctors and nonmedical health care workers (n=194 [40.2%], n=142 [29.5%], and n=146 [30.3%], respectively). Nurses in Vietnam showed the highest level of depression, stress, intrusion, avoidance, and hyperarousal symptoms compared to those in Singapore, Malaysia, and Indonesia. Nurses in Singapore had the highest level of anxiety. In addition, nurses had the lowest level of stress, which is the most distinctive psychological outcome characteristic derived from machine learning models, compared to other health care workers. Data for India were excluded from the analysis due to the differing psychological response pattern observed in nurses in India. A large number of female nurses emigrating from South India could not have psychologically coped well without the support from family members while living alone in other states. Conclusions Nurses were least psychologically affected compared to doctors and other health care workers. Different contexts, cultures, and points in the pandemic curve may have contributed to differing patterns of psychological outcomes amongst nurses in various Asia-Pacific countries. It is important that all health care workers practice self-care and render peer support to bolster psychological resilience for effective coping. In addition, this study also demonstrated the potential use of decision tree–based machine learning model","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68434132","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}
JMIR nursingPub Date : 2021-07-30DOI: 10.2196/19709
David Silvera-Tawil, Courtney Pocock, DanaKai Bradford, Andrea Donnell, Jill Freyne, Karen Harrap, Sally Brinkmann
{"title":"Enabling Nurse-Patient Communication With a Mobile App: Controlled Pretest-Posttest Study With Nurses and Non-English-Speaking Patients.","authors":"David Silvera-Tawil, Courtney Pocock, DanaKai Bradford, Andrea Donnell, Jill Freyne, Karen Harrap, Sally Brinkmann","doi":"10.2196/19709","DOIUrl":"https://doi.org/10.2196/19709","url":null,"abstract":"<p><strong>Background: </strong>There is growing concern regarding the implications of miscommunication in health care settings, the results of which can have serious detrimental impacts on patient safety and health outcomes. Effective communication between nurses and patients is integral in the delivery of timely, competent, and safe care. In a hospital environment where care is delivered 24 hours a day, interpreters are not always available. In 2014, we developed a communication app to support patients' interactions with allied health clinicians when interpreters are not present. In 2017, we expanded this app to meet the needs of the nursing workforce. The app contains a fixed set of phrases translated into common languages, and communication is supported by text, images, audio content, and video content.</p><p><strong>Objective: </strong>This study aims to evaluate the efficacy of the communication app to support nursing staff during the provision of standard care to patients from non-English-speaking backgrounds when an interpreter is not available.</p><p><strong>Methods: </strong>This study used a one-group pretest-posttest sequential explanatory mixed methods research design, with quantitative data analyzed using inferential statistics and qualitative data analyzed via thematic content analysis. A total of 134 observation sessions (82 pretest and 52 posttest) of everyday nurse-patient interactions and 396 app use sessions were recorded. In addition, a total of 134 surveys (82 pretest and 52 posttest) with nursing staff, 7 interviews with patients, and 3 focus groups with a total of 9 nursing staff participants were held between January and November 2017.</p><p><strong>Results: </strong>In the absence of the app, baseline interactions with patients from English-speaking backgrounds were rated as more successful (t<sub>80</sub>=5.69; P<.001) than interactions with patients from non-English-speaking backgrounds. When staff used the app during the live trial, interactions with patients from non-English-speaking backgrounds were rated as more successful than interactions without the app (F<sub>2,119</sub>=8.17; P<.001; η<sup>2</sup>=0.37). In addition, the level of staff frustration was rated lower when the app was used to communicate (t<sub>80</sub>=2.71; P=.008; r=0.29). Most participants indicated that the app assisted them in communicating.</p><p><strong>Conclusions: </strong>Through the use of the app, a number of patients from non-English-speaking backgrounds experienced better provision of standard care, similar to their English-speaking peers. Thus, the app can be seen as contributing to the delivery of equitable health care.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 3","pages":"e19709"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373371/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39324795","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}
JMIR nursingPub Date : 2021-05-26eCollection Date: 2021-04-01DOI: 10.2196/25679
May O Lwin, Anita Sheldenkar, Chitra Panchapakesan
{"title":"A Digital Mobile Community App for Caregivers in Singapore: Predevelopment and Usability Study.","authors":"May O Lwin, Anita Sheldenkar, Chitra Panchapakesan","doi":"10.2196/25679","DOIUrl":"https://doi.org/10.2196/25679","url":null,"abstract":"<p><strong>Background: </strong>With increasing life expectancy and aging populations, the global prevalence of chronic diseases and the long-term care required for people with comorbidities is rising. This has led to an ever-growing need for caregiving. Previous literature has shown that caregivers face problems of isolation and loneliness. However, many health organizations mainly focus their efforts on in-person community groups that require participants to meet physically. This is not always convenient or accessible for caregivers who are often juggling caring for their care recipient with family and work responsibilities.</p><p><strong>Objective: </strong>With medical advancements such as the proliferation of mobile phones and internet technology, caregivers may have opportunities for easier access to resources and support. Technological innovations could help empower the caregiving community to seek assistance for improving their quality of life at their convenience. A community network app called Caregivers' Circle was conceptualized in response to the needs of the caregivers on a day-to-day caregiving journey. This paper traces the predevelopment inquiry and technical details of this app to provide a clear understanding of its implementation along with a usability study to gauge user opinion of the app within Singapore.</p><p><strong>Methods: </strong>A predevelopment survey was conducted to identify specific needs of caregivers and gaps in the currently available web-based community networks. The survey consisted of questions on demographical data, health-related issues of the care recipient, mental and physical health-related issues of the caregiver, digital media use, information seeking, and support. This pre-app development survey was completed by 103 caregivers. Qualitative enquiries were also conducted with caregivers within Singapore to identify issues related to caregiving, support provided, and what caregivers would want from a caregiving mobile app.</p><p><strong>Results: </strong>From the feedback garnered from the caregivers, the developers were able to identify several caregivers' needs and gaps within the current support networks. This feedback was integrated into the mobile app called Caregivers' Circle upon development. The features of this app include a public <i>forum</i> for community discussions, a <i>marketplace</i> to buy and sell items, <i>care groups</i> to hold private discussions with friends or other users of the app, and a <i>friends</i> feature to search and add new caregiving friends.</p><p><strong>Conclusions: </strong>In general, the caregivers liked the Caregivers' Circle app and were confident that this app could help them have a better quality of life. The Caregivers' Circle app is unique in its integrated approach. The integration of many features that caregivers need on a daily basis into an easy app can save their time as well as help them navigate their life smoothly.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 2","pages":"e25679"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328268/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39273825","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}
JMIR nursingPub Date : 2021-04-29eCollection Date: 2021-04-01DOI: 10.2196/29823
Kimberly Acquaviva
{"title":"Erratum: Addendum to the Acknowledgments: Comparison of Intercom and Megaphone Hashtags Using Four Years of Tweets From the Top 44 Schools of Nursing: Thematic Analysis.","authors":"Kimberly Acquaviva","doi":"10.2196/29823","DOIUrl":"https://doi.org/10.2196/29823","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/25114.].</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 2","pages":"e29823"},"PeriodicalIF":0.0,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39296695","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}
JMIR nursingPub Date : 2021-04-27eCollection Date: 2021-04-01DOI: 10.2196/26944
Manal Kleib, Deirdre Jackman, Uirá Duarte Wisnesky, Shamsa Ali
{"title":"Academic Electronic Health Records in Undergraduate Nursing Education: Mixed Methods Pilot Study.","authors":"Manal Kleib, Deirdre Jackman, Uirá Duarte Wisnesky, Shamsa Ali","doi":"10.2196/26944","DOIUrl":"10.2196/26944","url":null,"abstract":"<p><strong>Background: </strong>Teaching students about electronic health records presents challenges for most nursing programs, primarily because of the limited training opportunities within clinical practice settings. A simulated electronic health record is an experiential, learner-centered strategy that enables students to acquire and apply the informatics knowledge needed for working with electronic records in a safe learning environment before the students have encounters with real patients.</p><p><strong>Objective: </strong>The aim of this study is to provide a preliminary evaluation of the Lippincott DocuCare simulated electronic health record and determine the feasibility issues associated with its implementation.</p><p><strong>Methods: </strong>We used one-group pretest-posttest, surveys, and focus group interviews with students and instructors to pilot the DocuCare simulated electronic health record within an undergraduate nursing program in Western Canada. Volunteering students worked through 4 case scenarios during a 1-month pilot. Self-reported informatics knowledge and attitudes toward the electronic health record, accuracy of computerized documentation, satisfaction, and students' and educators' experiences were examined. Demographic and general information regarding informatics learning was also collected.</p><p><strong>Results: </strong>Although 23 students participated in this study, only 13 completed surveys were included in the analysis. Almost two-thirds of the students indicated their overall understanding of nursing informatics as being fair or inadequate. The two-tailed paired samples <i>t</i> test used to evaluate the impact of DocuCare on students' self-reported informatics knowledge and attitudes toward the electronic health record revealed a statistically significant difference in the mean score of knowledge before and after using DocuCare (before: mean 2.95, SD 0.58; after: mean 3.83, SD 0.39; <i>t</i> <sub>12</sub>=5.80, two-tailed; <i>P</i><.001). There was no statistically significant difference in the mean scores of attitudes toward the electronic health record before and after using DocuCare (before: mean 3.75, SD 0.40; after: mean 3.70, SD 0.34; <i>t</i> <sub>12</sub>=0.39, two-tailed; <i>P</i>=.70). Students' documentation scores varied from somewhat accurate to completely accurate; however, performance improved for the majority of students as they progressed from case scenarios 1 to 4. Both the faculty and students were highly satisfied with DocuCare and highly recommended its integration. Focus groups with 7 students and 3 educators revealed multiple themes. The participants shared suggestions regarding the DocuCare product customization and strategies for potential integration in undergraduate nursing programs.</p><p><strong>Conclusions: </strong>This study demonstrated the feasibility and suitability of the DocuCare program as a tool to enhance students' learning about informatics and computerized documenta","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 2","pages":"e26944"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328266/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39273827","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}
JMIR nursingPub Date : 2021-04-20eCollection Date: 2021-04-01DOI: 10.2196/25114
Kimberly Acquaviva
{"title":"Comparison of Intercom and Megaphone Hashtags Using Four Years of Tweets From the Top 44 Schools of Nursing: Thematic Analysis.","authors":"Kimberly Acquaviva","doi":"10.2196/25114","DOIUrl":"https://doi.org/10.2196/25114","url":null,"abstract":"<p><strong>Background: </strong>When this study began in 2018, I sought to determine the extent to which the top 50 schools of nursing were using hashtags that could attract attention from journalists on Twitter. In December 2020, the timeframe was expanded to encompass 2 more years of data, and an analysis was conducted of the types of hashtags used.</p><p><strong>Objective: </strong>The study attempted to answer the following question: to what extent are top-ranked schools of nursing using hashtags that could attract attention from journalists, policy makers, and the public on Twitter?</p><p><strong>Methods: </strong>In February 2018, 47 of the top 50 schools of nursing had public Twitter accounts. The most recent 3200 tweets were extracted from each account and analyzed. There were 31,762 tweets in the time period covered (September 29, 2016, through February 22, 2018). After 13,429 retweets were excluded, 18,333 tweets remained. In December 2020, 44 of the original 47 schools of nursing still had public Twitter accounts under the same name used in the first phase of the study. Three accounts that were no longer active were removed from the 2016-2018 data set, resulting in 16,939 tweets from 44 schools of nursing. The Twitter data for the 44 schools of nursing were obtained for the time period covered in the second phase of the study (February 23, 2018, through December 13, 2020), and the most recent 3200 tweets were extracted from each of the accounts. On excluding retweets, there were 40,368 tweets in the 2018-2020 data set. The 2016-2018 data set containing 16,939 tweets was merged with the 2018-2020 data set containing 40,368 tweets, resulting in 57,307 tweets in the 2016-2020 data set.</p><p><strong>Results: </strong>Each hashtag used 100 times or more in the 2016-2020 data set was categorized as one of the following seven types: nursing, school, conference or tweet chat, health, illness/disease/condition, population, and something else. These types were then broken down into the following two categories: intercom hashtags and megaphone hashtags. Approximately 83% of the time, schools of nursing used intercom hashtags (inward-facing hashtags focused on in-group discussion within and about the profession). Schools of nursing rarely used outward-facing megaphone hashtags. There was no discernible shift in the way that schools of nursing used hashtags after the publication of <i>The Woodhull Study Revisited</i>.</p><p><strong>Conclusions: </strong>Top schools of nursing use hashtags more like intercoms to communicate with other nurses rather than megaphones to invite attention from journalists, policy makers, and the public. If schools of nursing want the media to showcase their faculty members as experts, they need to increase their use of megaphone hashtags to connect the work of their faculty with topics of interest to the public.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 2","pages":"e25114"},"PeriodicalIF":0.0,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39273823","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}
JMIR nursingPub Date : 2021-02-03eCollection Date: 2021-01-01DOI: 10.2196/20584
Azizeh K Sowan, Nancy Staggers, Andrea Berndt, Tommye Austin, Charles C Reed, Ashwin Malshe, Max Kilger, Elma Fonseca, Ana Vera, Qian Chen
{"title":"Improving the Safety, Effectiveness, and Efficiency of Clinical Alarm Systems: Simulation-Based Usability Testing of Physiologic Monitors.","authors":"Azizeh K Sowan, Nancy Staggers, Andrea Berndt, Tommye Austin, Charles C Reed, Ashwin Malshe, Max Kilger, Elma Fonseca, Ana Vera, Qian Chen","doi":"10.2196/20584","DOIUrl":"10.2196/20584","url":null,"abstract":"<p><strong>Background: </strong>Clinical alarm system safety is a national patient safety goal in the United States. Physiologic monitors are associated with the highest number of device alarms and alarm-related deaths. However, research involving nurses' use of physiologic monitors is rare. Hence, the identification of critical usability issues for monitors, especially those related to patient safety, is a nursing imperative.</p><p><strong>Objective: </strong>This study examined nurses' usability of physiologic monitors in intensive care units with respect to the effectiveness and efficiency of monitor use.</p><p><strong>Methods: </strong>In total, 30 nurses from 4 adult intensive care units completed 40 tasks in a simulation environment. The tasks were common monitoring tasks that were crucial for appropriate monitoring and safe alarm management across four categories of competencies: admitting, transferring, and discharging patients using the monitors (7 tasks); managing measurements and monitor settings (23 tasks); performing electrocardiogram (ECG) analysis (7 tasks); and troubleshooting alarm conditions (3 tasks). The nurse-monitor interaction was video-recorded. The principal investigator and two expert intensive care units nurse educators identified, classified, and validated task success (effectiveness) and the time of task completion (efficiency).</p><p><strong>Results: </strong>Among the 40 tasks, only 2 (5%) were successfully completed by all the nurses. At least 1-27 (3%-90%) nurses abandoned or did not correctly perform 38 tasks. The task with the shortest completion time was \"take monitor out of standby\" (mean 0:02, SD 0:01 min:s), whereas the task \"record a 25 mm/s ECG strip of any of the ECG leads\" had the longest completion time (mean 1:14, SD 0:32 min:s). The total time to complete 37 navigation-related tasks ranged from a minimum of 3 min 57 s to a maximum of 32 min 42 s. Regression analysis showed that it took 6 s per click or step to successfully complete a task. To understand the nurses' thought processes during monitor navigation, the authors analyzed the paths of the 2 tasks with the lowest successful completion rates, where only 13% (4/30) of the nurses correctly completed these 2 tasks. Although 30% (9/30) of the nurses accessed the correct screen first for task 1 and task 2, they could not find their way easily from there to successfully complete the 2 tasks.</p><p><strong>Conclusions: </strong>Usability testing of physiologic monitors revealed major ineffectiveness and inefficiencies in the current nurse-monitor interactions. The results indicate the potential for safety and productivity issues in completing routine tasks. Training on monitor use should include critical monitoring functions that are necessary for safe, effective, efficient, and appropriate monitoring to include knowledge of the shortest navigation path. It is imperative that vendors' future monitor designs mimic clinicians' thought processes for succe","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 1","pages":"e20584"},"PeriodicalIF":0.0,"publicationDate":"2021-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328265/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39281868","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}
JMIR nursingPub Date : 2021-01-28eCollection Date: 2021-01-01DOI: 10.2196/23933
Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford
{"title":"Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review.","authors":"Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford","doi":"10.2196/23933","DOIUrl":"10.2196/23933","url":null,"abstract":"<p><strong>Background: </strong>It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. Increasingly, researchers are exploring the potential influences of AI health technologies (AIHTs) on nursing in general and on nursing education more specifically. However, little emphasis has been placed on synthesizing this body of literature.</p><p><strong>Objective: </strong>A scoping review was conducted to summarize the current and predicted influences of AIHTs on nursing education over the next 10 years and beyond.</p><p><strong>Methods: </strong>This scoping review followed a previously published protocol from April 2020. Using an established scoping review methodology, the databases of MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest were searched. In addition to the use of these electronic databases, a targeted website search was performed to access relevant grey literature. Abstracts and full-text studies were independently screened by two reviewers using prespecified inclusion and exclusion criteria. Included literature focused on nursing education and digital health technologies that incorporate AI. Data were charted using a structured form and narratively summarized into categories.</p><p><strong>Results: </strong>A total of 27 articles were identified (20 expository papers, six studies with quantitative or prototyping methods, and one qualitative study). The population included nurses, nurse educators, and nursing students at the entry-to-practice, undergraduate, graduate, and doctoral levels. A variety of AIHTs were discussed, including virtual avatar apps, smart homes, predictive analytics, virtual or augmented reality, and robots. The two key categories derived from the literature were (1) influences of AI on nursing education in academic institutions and (2) influences of AI on nursing education in clinical practice.</p><p><strong>Conclusions: </strong>Curricular reform is urgently needed within nursing education programs in academic institutions and clinical practice settings to prepare nurses and nursing students to practice safely and efficiently in the age of AI. Additionally, nurse educators need to adopt new and evolving pedagogies that incorporate AI to better support students at all levels of education. Finally, nursing students and practicing nurses must be equipped with the requisite knowledge and skills to effectively assess AIHTs and safely integrate those deemed appropriate to support person-centered compassionate nursing care in practice settings.</p><p><strong>International registered report identifier irrid: </strong>RR2-10.2196/17490.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"4 1","pages":"e23933"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328269/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39273822","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}