JMIR Human Factors最新文献

{"title":"Education and Symptom Reporting in an mHealth App for Patients With Cancer: Mixed Methods Development and Validation Study.","authors":"Carolina Muñoz Olivar, Miguel Pineiro, Juan Sebastián Gómez Quintero, Carlos Javier Avendaño-Vásquez, Pablo Ormeño-Arriagada, Silvia Palma Rivadeneira, Carla Taramasco Toro","doi":"10.2196/60169","DOIUrl":"https://doi.org/10.2196/60169","url":null,"abstract":"<p><strong>Background: </strong>The widespread prevalence of cancer across the globe demands cutting-edge solutions for its treatment. Current cancer therapies, notably chemotherapy, pose challenges due to their side effects. The early detection and management of the side effects are vital but complex. This study introduces a mobile health app designed to bridge the communication gaps between patients with cancer and health care providers. Hence, it allows patients to report symptoms immediately and also enables proactive symptom management by health care providers.</p><p><strong>Objective: </strong>This study has 2 objectives: first, to design a cancer-focused mobile health app that integrates educational content and real-time symptom reporting for chemotherapy patients. Second, to validate and evaluate the app quality using the Mobile App Rating Scale (MARS). The app seeks to foster health care communication, reduce hospital readmissions, and optimize symptom management, contributing to a more impactful patient experience.</p><p><strong>Methods: </strong>This mixed-methods study details the development and validation of mobile health applications. The app was designed by a multidisciplinary team, including nurses, medical professionals, pharmaceutical chemists, computer engineers, and software developers, using agile methodologies. For validation, the app was assessed by 13 evaluators, including clinical professionals (nurses and physicians) and engineers. The evaluation included technical performance analysis using Google tools and quality assessment using the MARS, which measures engagement, functionality, aesthetics, and information quality.</p><p><strong>Results: </strong>Performance metrics highlighted areas for improvement, with loading times showing delays in displaying content. Meanwhile, the response time of the app was moderate, and visual stability remained excellent. The app achieved an overall MARS score of 3.75 (SD 0.42), indicating consistent quality, with functionality scoring the highest (4.35; SD 0.52) and engagement the lowest (3.31; SD 0.61). The reliability of the MARS was confirmed (interclass correlation coefficient: 0.84; 95% CI: 0.72-0.92). Evaluators unanimously praised the app's potential benefits for patients and clinical professionals while identifying areas for improvement such as customization, onboarding guidance, and navigation.</p><p><strong>Conclusions: </strong>The CONTIGO app showed strengths in functionality, usability, and information quality, supported by robust security measures. However, areas such as user interactivity and engagement require improvement. Future refinements will integrate insights from patients with cancer to address user-specific needs and enhance the oncology care experience.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e60169"},"PeriodicalIF":2.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12052293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044441","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":"Pharmaceutical Analysis of Inpatient Prescriptions: Systematic Observation of Hospital Pharmacists' Practices in the Early User-Centered Design Phase.","authors":"Jesse Butruille, Natalina Cirnat, Mariem Alaoui, Jérôme Saracco, Etienne Cousein, Noémie Chaniaud","doi":"10.2196/65959","DOIUrl":"https://doi.org/10.2196/65959","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The health care sector's digital transformation has accelerated, yet adverse drug events continue to rise, posing significant clinical and economic challenges. Clinical decision support systems (CDSSs), particularly those related to medication, are crucial for improving patient care, identifying drug-related problems, and reducing adverse drug events. Hospital pharmacists play a key role in using CDSSs for patient management and safety. Human factors and ergonomics (HFE) methods are essential for designing effective, human-centered CDSSs. HFE involves 3 phases-exploration, design, and evaluation-with exploration being critical yet often overlooked in the literature. For medication-related CDSSs, understanding hospital pharmacists' tasks and challenges is vital for creating user-centered solutions.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to explore the actual practices and identify the needs of hospital pharmacists analyzing electronic prescriptions. This study focused on the preliminary stage of the user-centered design of a pharmacist-centered CDSS.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The study involved observing 16 pharmacists across 5 hospitals in mainland France (a university hospital, 2 large general hospitals, a smaller general hospital, and a specialized clinic). Pharmacists were selected regardless of expertise. The observation method-systematic in situ observation with shadowing posture-involved following pharmacists as they analyzed prescriptions. Researchers recorded activities, tools used, verbalizations, behaviors, and interruptions, using an observation grid. Data analysis focused on modeling pharmacists' cognitive work, categorizing activities by action type, specificity, and information source. Sequential time data analysis and distance matrices were used to generate hierarchical clustering and identify similarity groups among the pharmacists' analyses. Each group was described using its typical sequences of analysis and related covariates.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;In total, 16 pharmacists analyzed and validated electronic prescriptions for 140 patients, averaging 5.48 minutes per patient. They spend 91% of their time searching for information rather than transmitting it. Most information comes from the list of prescriptions, but it is the time spent in electronic medical records (EMRs) that dominates at the heart of the analysis. Pharmaceutical interventions are most frequently transmitted in the last third of the sequence. The pharmaceutical analyses were grouped into 4 clusters: (cluster A, 22%) interventionist clinical analysis with extensive crossing of various sources of information and almost systematic pharmaceutical interventions; (cluster B, 52%) most common clinical analysis focusing on EMRs and biology results; (cluster C, 13%) logistical analysis, focusing on the pharmacy workflow and the medication circuit; and (cluster D, 13%) quick, trivial analyses based exclusively on","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e65959"},"PeriodicalIF":2.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12048037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022390","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":"Blended Mobile-Based Interventions With Integrated Virtual Reality Exposure Therapy for Anxiety Disorders: Thematic Analysis of Patient Perspectives.","authors":"Jari Planert, Anne-Sophie Hildebrand, Alla Machulska, Kati Roesmann, Marie Neubert, Sebastian Pilgramm, Juliane Pilgramm, Tim Klucken","doi":"10.2196/60957","DOIUrl":"https://doi.org/10.2196/60957","url":null,"abstract":"<p><strong>Background: </strong>Guided mobile-based interventions may mitigate symptoms of anxiety disorders such as panic disorder, agoraphobia, or social anxiety disorder. With exposure therapy being efficacious in traditional treatments for these disorders, recent advancements have introduced 360° videos to deliver virtual reality exposure therapy (VRET) within mobile-based interventions.</p><p><strong>Objective: </strong>Despite ongoing trials evaluating the treatment's efficacy, research examining patient perceptions of this innovative approach is still scarce. Therefore, this study aimed to explore patient opinions on specific treatment aspects of mobile-based interventions using mobile VRET and psychotherapeutic guidance for anxiety disorders.</p><p><strong>Methods: </strong>A total of 11 patients diagnosed with panic disorder, agoraphobia, or social anxiety disorder who had previously taken part in the experimental conditions of 2 randomized controlled trials for a mobile intervention including mobile VRET participated in cross-sectional, retrospective interviews. Using a semistructured interview format, patients were asked to reflect on their treatment experiences; personal changes; helpful and hindering aspects; their motivation levels; and their encounters with the mobile-based intervention, manualized treatment sessions, and the mobile VRET.</p><p><strong>Results: </strong>Thematic analysis led to the formation of 14 themes in four superordinate categories: (1) perceived treatment outcomes, (2) aspects of the mobile intervention, (3) experiences with mobile VRET, and (4) contextual considerations. Patients offered their insights into factors contributing to treatment success or failure, delineated perceived treatment outcomes, and highlighted favorable aspects of the treatment while pointing out shortcomings and suggesting potential enhancements. Most strikingly, while using a blended app-based intervention, patients highlighted the role of psychotherapeutic guidance as a central contributing factor to their symptom improvement.</p><p><strong>Conclusions: </strong>The findings of the thematic analysis and its diverse patient perspectives hold the potential to guide future research to improve mobile-based treatment options for anxiety disorders. Insights from these patient experiences can contribute to refining mobile-based interventions and optimizing the integration of VRET in accordance with patients' preferences, needs, and expectations.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e60957"},"PeriodicalIF":2.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12062763/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047564","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":"Usability and User Experience Testing of a Co-Designed Electronic Patient-Reported Outcomes App (\"MyPal for Adults\") for Palliative Cancer Care: Mixed Methods Study.","authors":"Panos Bonotis, Pantelis Angelidis, Pantelis Natsiavas","doi":"10.2196/57342","DOIUrl":"https://doi.org/10.2196/57342","url":null,"abstract":"<p><strong>Background: </strong>Mobile health technologies have the potential to enhance the management, communication, and overall quality of life of patients with cancer. The MyPal project, using a participatory design approach, aims to provide palliative care support for patients with cancer through an electronic patient-reported outcomes eHealth platform.</p><p><strong>Objective: </strong>This study aims to evaluate the usability and user experience of \"MyPal for adults,\" a co-designed palliative care mobile app designed to support adults with cancer.</p><p><strong>Methods: </strong>Representative users participated in a 4-step usability study using a \"think-aloud\" protocol, complemented with feature satisfaction, difficulty perceived, and design impression surveys along with a short, structured interview. Participants were also asked to provide quantitative feedback via the postuse System Usability Scale, User Experience Questionnaire, and Post-Study System Usability Questionnaire. The data were analyzed along the lines of the International Organization for Standardization (ISO) 9241-210 framework.</p><p><strong>Results: </strong>All participants found the intervention content useful, and they reported satisfactory usability, with a mean Post-Study System Usability Questionnaire score of 2.458 (SD 1.08) and a System Usability Scale score of 68.9. All aspects of the User Experience Questionnaire (attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty) surpassed usability quality benchmarks. The qualitative analysis identified 43 usability issues, primarily related to effectiveness and efficiency as defined in ISO 9241-210.</p><p><strong>Conclusions: </strong>In this study, we conducted a usability evaluation of the \"MyPal for adults\" app, a digital tool designed to enhance the palliative care experience. This approach identifies real-world usability issues, enabling iterative improvements in the eHealth platform's design. Our findings reveal a user-friendly interface and positive patient experiences. This study emphasizes the need to enhance mobile health platform usability, offering insights to improve digital palliative care.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e57342"},"PeriodicalIF":2.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12045520/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053379","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":"Empowering Community Health Workers With Scripted Medicine: Design Science Research Study.","authors":"Dario Staehelin, Damaris Schmid, Felix Gerber, Mateusz Dolata, Gerhard Schwabe","doi":"10.2196/57545","DOIUrl":"https://doi.org/10.2196/57545","url":null,"abstract":"<p><strong>Background: </strong>The World Health Organization anticipates a shortage of 14 million health workers by 2030, particularly affecting the Global South. Community health workers (CHWs) may mitigate the shortages of professional health care workers. Recent studies have explored the feasibility and effectiveness of shifting noncommunicable disease (NCD) services to CHWs. Challenges, such as high attrition rates and variable performance, persist due to inadequate organizational support and could hamper such efforts. Research on employee empowerment highlights how organizational structures affect employees' perception of empowerment and retention.</p><p><strong>Objective: </strong>This study aims to develop Scripted Medicine to empower CHWs to accept broader responsibilities in NCD care. It aims to convey relevant medical and counseling knowledge through medical algorithms and ThinkLets (ie, social scripts). Collaboration engineering research offers insights that could help address the structural issues in community-based health care and facilitate task shifting.</p><p><strong>Methods: </strong>This study followed a design science research approach to implement a mobile health-supported, community-based intervention in 2 districts of Lesotho. We first developed the medical algorithms and ThinkLets based on insights from collaboration engineering and algorithmic management literature. We then evaluated the designed approach in a field study in the ComBaCaL (Community Based Chronic Disease Care Lesotho) project. The field study included 10 newly recruited CHWs and spanned over 2 weeks of training and 12 weeks of field experience. Following an abductive approach, we analyzed surveys, interviews, and observations to study how Scripted Medicine empowers CHWs to accept broader responsibilities in NCD care.</p><p><strong>Results: </strong>Scripted Medicine successfully conveyed the required medical and counseling knowledge through medical algorithms and ThinkLets. We found that medical algorithms predominantly influenced CHWs' perception of structural empowerment, while ThinkLets affected their psychological empowerment. The different perceptions between the groups of CHWs from the 2 districts highlighted the importance of considering the cultural and economic context.</p><p><strong>Conclusions: </strong>We propose Scripted Medicine as a novel approach to CHW empowerment inspired by collaboration engineering and algorithmic management. Scripted Medicine broadens the perspective on mobile health-supported, community-based health care. It emphasizes the need to script not only essential medical knowledge but also script counseling expertise. These scripts allow CHWs to embed medical knowledge into the social interactions in community-based health care. Scripted Medicine empowers CHW to accept broader responsibilities to address the imminent shortage of medical professionals in the Global South.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e57545"},"PeriodicalIF":2.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12059493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032966","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":"Telemedicine Booths for Screening Cardiovascular Risk Factors: Prospective Multicenter Study.","authors":"Mélanie Decambron, Christine Tchikladze Merand","doi":"10.2196/57032","DOIUrl":"https://doi.org/10.2196/57032","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular risk factors such as hypertension often remain undetected and untreated. This was particularly problematic during the COVID-19 pandemic when there were fewer in-person medical consultations.</p><p><strong>Objective: </strong>This study aimed to determine whether health screening using a telemedicine booth would have an impact on people's medical care during the COVID-19 pandemic.</p><p><strong>Methods: </strong>Health screening was run using a telemedicine booth (the consult station) that was placed in three different vaccination centers in northern France between July 2021 and September 2021. Participants followed a series of instructions to obtain various measures, including their blood pressure, BMI, and heart rate. If any measures were found to be outside of the normal range, participants were advised to consult a doctor. After 3 months, the participants with abnormal readings were contacted by telephone and were asked a series of standardized questions. The primary outcome was the percentage of respondents who reported that they had consulted a doctor since the health check.</p><p><strong>Results: </strong>Approximately 6000 people attended the 3 vaccination centers over the study period. Of these, around 2500 used the consult station. A total of 1333 participants (53.3%) were found to have abnormal readings, which mostly concerned their blood pressure, heart rate, or BMI. There were 638 participants who responded to the follow-up call, and 234 of these (37%) reported that they had consulted a doctor since the health check. However, 158 of the 638 respondents (24.8%) reported that they would have consulted a doctor even without the screening.</p><p><strong>Conclusions: </strong>We succeeded in screening large numbers of people for cardiovascular risk factors during the COVID-19 pandemic by using a telemedicine booth. Although relatively few follow-up call respondents reported that they went on to consult a physician, the screening would nevertheless have raised people's awareness of their cardiovascular risk factors.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e57032"},"PeriodicalIF":2.6,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040287/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144027651","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":"Association of Virtual Nurses' Workflow and Cognitive Fatigue During Inpatient Encounters: Cross-Sectional Study.","authors":"Saif Khairat, Jennifer Morelli, Wan-Ting Liao, Julia Aucoin, Barbara S Edson, Cheryl B Jones","doi":"10.2196/67111","DOIUrl":"https://doi.org/10.2196/67111","url":null,"abstract":"<p><strong>Background: </strong>The virtual nursing delivery model enables the provision of expert nursing care from a remote location, using technology such as audio and video communication, remote monitoring devices, and access to electronic health records. Virtual nurses spend an extensive amount of time on computers to provide care, and little is known about how this workflow may affect and contribute to cognitive fatigue.</p><p><strong>Objective: </strong>This study aimed to use eye tracking technology and pupil size variation to determine instances of virtual nurse cognitive fatigue during their typical workflow.</p><p><strong>Methods: </strong>This study examined the virtual nursing workflow by recording and analyzing virtual nurse encounters using eye tracking. This cross-sectional study was conducted during regular 12-hour shifts at a major Southeastern health center in the United States.</p><p><strong>Results: </strong>The study found that 75% (22/29) of virtual nursing encounters demonstrated a first fatigue instance at 9.8 minutes during patient discharges and at 11.9 minutes during patient admissions.</p><p><strong>Conclusions: </strong>This study provides valuable insights into virtual nursing workflow design and how it may impact the cognitive fatigue levels of nurses providing inpatient virtual care.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e67111"},"PeriodicalIF":2.6,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144037651","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":"Digital Health Intervention for Patient Monitoring in Immune-Mediated Inflammatory Diseases: Cocreation and Feasibility Study of the IMIDoc Platform.","authors":"Diego Benavent, Jose M Iniesta-Chamorro, Marta Novella-Navarro, Miguel Pérez-Martínez, Nuria Martínez-Sánchez, Mónica Kaffati, Manuel Juárez-García, Marina Molinari-Pérez, Andrea González-Torbay, Mariana Gutiérrez, Natalia López-Juanes, Victoria Navarro-Compán, Irene Monjo-Henry, Germán Rodríguez-Rosales, Javier Bachiller, Enrique Calvo-Aranda, Xabier Michelena, Laura Berbel-Arcobé, Alejandro Balsa, Enrique J Gómez, Chamaida Plasencia-Rodríguez","doi":"10.2196/58095","DOIUrl":"https://doi.org/10.2196/58095","url":null,"abstract":"<p><strong>Background: </strong>Immune-mediated inflammatory diseases, such as rheumatoid arthritis and spondyloarthritis, pose challenges due to recurrent flares and gaps in patient monitoring. Traditional health care models often fail to capture disease progression effectively.</p><p><strong>Objective: </strong>This study aimed to describes the structured cocreation of the IMIDoc platform, an interdisciplinary initiative aimed at improving patient monitoring, education, and health care provider decision-making.</p><p><strong>Methods: </strong>IMIDoc was cocreated through an interdisciplinary team involving clinical experts, biomedical engineers, and technical developers, using user-centered design principles. The development process included the identification of unmet clinical needs, user-centered app design, implementation of medication management features, patient data recording capabilities, and educational content. A 3-month feasibility and functionality testing was performed to evaluate the usability and technical performance of the apption.</p><p><strong>Results: </strong>During the feasibility testing, 111 entries were logged for the patient mobile app, comprising 76 errors identified and corrected, 16 improvements addressing functionality, usability, and performance, and 10 evolutionary suggestions. The professional interface received 45 entries, identifying 40 errors and 5 evolutionary suggestions. Ten iterative updates significantly enhanced the user interface intuitiveness and medication reminder functionality, aligning the solution closely with clinical workflows and user needs.</p><p><strong>Conclusions: </strong>The IMIDoc platform, developed by a multidisciplinary cocreation methodology, shows potential to improve the management of immune-mediated inflammatory diseases ithrough enhanced communication and monitoring. A multicenter clinical study with 360 patients across 5 Spanish hospitals will further evaluate its impact.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e58095"},"PeriodicalIF":2.6,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12036949/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040184","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":"Development and Systematic Evaluation of a Progressive Web Application for Women With Cardiac Pain: Usability Study.","authors":"Monica Parry, Tony Huang, Hance Clarke, Ann Kristin Bjørnnes, Paula Harvey, Laura Parente, Colleen Norris, Louise Pilote, Jennifer Price, Jennifer N Stinson, Arland O'Hara, Madusha Fernando, Judy Watt-Watson, Nicole Nickerson, Vincenza Spiteri DeBonis, Donna Hart, Christine Faubert","doi":"10.2196/57583","DOIUrl":"https://doi.org/10.2196/57583","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Cardiac pain has been widely considered to be the primary indicator of coronary artery disease. The presentation of cardiac pain and associated symptoms vary in women, making it challenging to interpret as cardiac, possibly cardiac, or noncardiac. Women prefer to consult with family and friends instead of seeking immediate medical care.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to assess the user performance (ie, ease of use, efficiency, and errors) and user satisfaction (System Usability Scale; SUS) of a progressive web application for women with cardiac pain.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Following ethics approval, a purposive sample of women aged &gt;18 years with cardiac pain or associated symptoms lasting &gt;3 months and able to speak and read English was recruited to participate in 2 iterative usability testing cycles. The first cycle assessed the performance of and satisfaction with at heart using a web application, and the second cycle assessed the performance of and satisfaction with at heart across various Android and iOS devices. In total, 2 investigators recorded user comments and documented problems. At the end of the testing session, the participants completed the SUS and 4 semistructured interview questions.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;In total, 10 eligible women participated in usability testing from March 31, 2020, to April 17, 2020 (cycle 1), and from November 17, 2020, to November 30, 2020 (cycle 2). Women across usability testing cycles had a mean age of 55.6 (SD 7.3) years, and most (9/10, 90%) were well educated. In total, 50% (5/10) were employed full or part time, and 60% (6/10) earned &gt;CAD $70,000 (US $48,881.80) annually. Participants across 2 testing cycles reported the overall usability of the at heart progressive web application as highly acceptable (mean SUS score 81.75, SD 10.41). In total, 90% (9/10) of participants rated the user-friendliness of at heart as good or excellent. All participants (10/10, 100%) thought at heart was easy to use and efficient. Only 2 testing errors were noted as high priority; these were low contrast or small font and clarification that the chatbot was not a real person. User satisfaction was assessed using themes that emerged from the debrief and 4 semistructured interview questions; at heart was engaging, comprehensive, understandable, credible, relevant, affirming, personalized, and innovative.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study provides initial support for the at heart progressive web application for women living with cardiac pain and symptoms. Ongoing evaluations in phases 3 and 4 should aim to examine the feasibility and acceptability of and the extent of engagement with the at heart core feature set: Heart Check, Wellness Check, and the library. In addition to assessing effectiveness in the phase-4 effectiveness-implementation hybrid trial (type I), describing and better understanding the context for implementation (eg, race an","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e57583"},"PeriodicalIF":2.6,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12046265/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143986598","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":"Health Care Providers' Experiences and Perceptions With Telehealth Tools in a Hospital-at-Home Program: Mixed Methods Study.","authors":"Shi Yun Low, Stephanie Qianwen Ko, Ian Yi Han Ang","doi":"10.2196/56860","DOIUrl":"https://doi.org/10.2196/56860","url":null,"abstract":"<p><strong>Background: </strong>The growing demand for hospital-based care, driven by aging populations and constrained resources, has accelerated the adoption of telehealth tools such as teleconsultations and remote monitoring in hospital-at-home (HaH) programs. Despite their increasing use in delivering acute care at home, studies exploring health care providers' experiences and perceptions of these tools within HaH settings remain limited.</p><p><strong>Objective: </strong>This study aimed to understand the experiences and perspectives of health care providers toward teleconsultations and vital signs monitoring systems within a HaH program in Singapore to optimize effectiveness and address challenges in future implementation.</p><p><strong>Methods: </strong>A convergent mixed methods approach that combines qualitative in-depth interviews with an electronic survey designed based on the 5 domains (usefulness, ease of use, effectiveness, reliability, and satisfaction) of the Telehealth Usability Questionnaire was used.</p><p><strong>Results: </strong>In total, 37 surveys and 20 interviews were completed. Participants responded positively to the use of both teleconsultation and vital signs monitoring with a mean total score of each method being 4.55 (SD 0.44) and 4.52 (SD 0.42), respectively. Significantly higher mean ratings were observed among doctors compared with other health care providers for usefulness (P=.03) and ease of use (P=.047) in teleconsultations. Health care providers with fewer years of clinical experience also perceived the use of vital signs monitoring to be more effective (P=.02) and more usable (P=.04) than those with more years of experience. Qualitative analysis identified four themes: (1) benefits of telehealth for health care providers such as improved work convenience, efficiency, and satisfaction; (2) challenges of telehealth implementation relating to communication and technology; (3) perspectives on telehealth impact; and (4) enablers for successful implementation. Comparing both datasets, qualitative findings were aligned with and confirmed quantitative results.</p><p><strong>Conclusions: </strong>This study highlighted the benefits and usability of telehealth among health care providers. However, challenges relating to patient communication, technological issues, and delivery of care were also discussed along with enablers for successful implementation. These insights can inform strategies to optimize future implementation of telehealth in HaH.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e56860"},"PeriodicalIF":2.6,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12021374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044442","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}