JMIR Human Factors最新文献

{"title":"A Mobile App Designed to Promote Shared Decision-Making in the Treatment of Psychotic Disorders: Feasibility and Acceptability Study.","authors":"Mari Skoge, Sofie Ragnhild Aminoff, Elizabeth Ann Barrett, Gina Engen Bryhni, Kristine Kling, Kari Jorunn Kværner, Ingrid Melle, Erlend Mork, Carmen Simonsen, Linn Nathalie Støme, Josina Vink, Tor Gunnar Værnes, Kristin Lie Romm","doi":"10.2196/68813","DOIUrl":"10.2196/68813","url":null,"abstract":"<p><strong>Background: </strong>Strengthening shared decision-making in mental health care may improve the quality of services and treatment outcomes, but its implementation in services for severe mental disorders is currently lacking.</p><p><strong>Objective: </strong>This study aims to explore the feasibility and acceptability of iTandem (University of Oslo), a mobile app designed to promote shared decision-making in the treatment of psychotic disorders. In addition, the study aims to investigate mechanisms that potentially contribute to the intended effect of the app. iTandem is a therapy supplement that facilitates patient involvement in decisions regarding treatment goals and focus areas. It is designed for personalized use and contains 8 optional modules: sleep, medication, recovery, mood, psychosis, activity, substance use, and feedback concerning therapy.</p><p><strong>Methods: </strong>Patients undergoing assessment or treatment for psychotic disorders and their clinicians were recruited for the study. Patients and clinicians jointly used iTandem as part of standard treatment in a 6-week trial. We used a mixed-methods study design with a clear emphasis on qualitative methods. Feasibility and acceptability were assessed through descriptive statistics based on preintervention and postintervention questionnaires and app usage data, in addition to text responses to open-ended items. We conducted a reflexive thematic analysis of postintervention interviews to elaborate these measures and to explore mechanisms potentially contributing to achieving shared decision-making when using iTandem.</p><p><strong>Results: </strong>A total of 9 patients and 8 clinicians completed the trial. The participants evaluated iTandem as a user-friendly and acceptable tool, but there were considerable variations in how the app was integrated into treatment and in perceptions of its clinical value. The thematic analysis suggests that iTandem has the potential to facilitate shared decision-making through supporting cognition and shifting the patient's role. We also identified scaffolding structures, an analogy of personalized support, as a precondition for these mechanisms and for the overall feasibility and acceptability of iTandem.</p><p><strong>Conclusions: </strong>iTandem was generally perceived as a feasible and acceptable tool in the treatment of patients with psychotic disorders. Our findings suggest that nonclinical aspects, such as support structures, are important to the feasibility and acceptability of such digital interventions and patients' aptness for digitalized treatment in general. Future research should explore related nonclinical aspects further instead of defining potential target groups based on diagnoses and symptom severity alone.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e68813"},"PeriodicalIF":2.6,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12274015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144612393","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":"Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study.","authors":"Prabjit Ajrawat, Blaine Price, Daniel Gooch, Rudolf Serban, Ruqaiya Al-Habsi, Oliver Pearce","doi":"10.2196/65271","DOIUrl":"10.2196/65271","url":null,"abstract":"<p><strong>Background: </strong>Patient-reported outcome measures (PROMs) are tools for assessing symptoms and the quality of care. Despite their growing use, conventional data collection methods limit widespread PROM implementation. In orthopedics, pain is a frequent patient complaint and a common PROM, especially following total knee arthroplasty (TKA). Although TKA is generally successful, some patients still report postoperative pain, potentially due to tourniquet use. Using an improved PROM data-gathering technique may help to address tourniquet use during a TKA procedure and its impact on postoperative pain. The PainPad, an automated self-logging device, was developed to capture patient pain levels accurately.</p><p><strong>Objective: </strong>The aim of the study is to assess the feasibility and effectiveness of the PainPad device in quantifying in-hospital postoperative pain following TKA with or without tourniquet use.</p><p><strong>Methods: </strong>A retrospective study with 234 patients who underwent TKA from 2018 to 2021 at Milton Keynes University Hospital was conducted. Patients were categorized as receiving TKA with an intraoperative tourniquet (tourniquet group) or TKA without a tourniquet (nontourniquet group). Postoperative pain during the first 24 hours was self-reported every 2 hours using the PainPad device. From both groups, data on hospital length of stay, total tourniquet time, and the presence of postoperative deep vein thrombosis were also collected.</p><p><strong>Results: </strong>There were 115 TKAs with tourniquets (72/115, 62.6% female patients; mean age 69.26, SD 9.93 years) and 119 TKAs without tourniquets (91/119, 76.4% female patients; mean age 70.97, SD 9.01 years). When assessing 24-hour mean postoperative pain scores, the PainPad device data indicated no significant difference (P=.53; 95% CI -0.76 to 0.39) between the tourniquet (mean pain score 3.31, SD 2.34) and nontourniquet groups (mean pain score 3.12, SD 2.15). There was no correlation between tourniquet times and the pain scores retrieved from the PainPad device. A subgroup analysis comparing longer (>90 minutes) versus shorter (<90 minutes) tourniquet times showed no significant difference in terms of pain and length of stay.</p><p><strong>Conclusions: </strong>The PainPad device is a feasible and effective method for collecting and evaluating in-hospital postoperative pain following TKA, allowing for the quantification of individual pain levels. This study aligns with the current health care trend toward leveraging innovative technologies and personalized data to enhance patient-centered care.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e65271"},"PeriodicalIF":2.6,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12270187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144609771","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":"Exploring Clinicians' and Patients' Acceptance and Utilization of a Digital Solution to Support Individualized Care in Diabetes Specialist Outpatient Care (DigiDiaS): Qualitative Study.","authors":"Maria Aadland Mollestad, Annesofie Lunde Jensen, Heidi Holmen, Tone Singstad, Eirik Årsand, Jacob Andreas Winther, Astrid Torbjørnsen","doi":"10.2196/70301","DOIUrl":"10.2196/70301","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;With the increasing prevalence of type 1 diabetes alongside limited health care resources, the need for more sustainable health care services is apparent. Central to ensuring the standard of diabetes care while simultaneously optimizing resource utilization is improved patient-clinician communication and the provision of individualized care. Digital outpatient solutions incorporating patient-reported outcome measures (PROMs) have been introduced in diabetes outpatient care over recent years; however, features and delivery methods differ, and existing studies on their use and perceived clinical value are limited. Furthermore, clinicians' acceptance has been suggested as a key factor in the sustainability of digital solutions. Thus, to support the implementation of digital outpatient solutions perceived as valuable by clinicians and patients, we need more knowledge about how they are accepted and utilized in clinical practice.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study investigates how clinicians and patients with type 1 diabetes accept and utilize a digital outpatient solution to support individualized care in the context of full-scale implementation at a diabetes specialist outpatient clinic. Furthermore, we aim to explore the synchronous interaction between patients and clinicians when they are allowed to prepare through the filling and reviewing of asynchronous PROMs before consultations.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This qualitative study uses interpretive description as a methodological approach. The digital outpatient solution features various components, including PROM questionnaires, asynchronous chat, remote consultations, e-learning, and information distribution. Data were collected through semistructured interviews with 10 clinicians and 20 patients with type 1 diabetes and observations of consultations. The data from the patient and clinician interviews (267 A4 pages) were analyzed separately before being jointly analyzed in the context of the findings from the observations (40 A4 pages).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Our analysis resulted in the following three main themes that describe the interplay between clinicians' and patients' acceptance, utilization, and perceived clinical value of a digital outpatient solution: (1) clinicians' acceptance of the digital outpatient solution influences patients' acceptance, (2) variations in the use of different features influence the extent of individualized care, and (3) clinicians' and patients' utilization influences perceived care efficiency and quality. Those who demonstrated higher acceptance and more extensive utilization reported that the solution was more valuable in enhancing individualized care efficiency and quality.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study highlights the interplay between clinicians' and patients' acceptance, utilization, and perceived clinical value of a digital outpatient solution in diabetes specialist outpatient care","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e70301"},"PeriodicalIF":2.6,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12262153/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592509","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 Quality of the JoyPop App: Prospective Evaluation Study.","authors":"Ishaq Malik, Teagan Neufeld, Aislin Mushquash","doi":"10.2196/65472","DOIUrl":"10.2196/65472","url":null,"abstract":"<p><strong>Background: </strong>Mental health difficulties are increasing among Canadian postsecondary students, and many face barriers to accessing mental health care. Mobile health smartphone apps for mental health reduce common barriers to care and improve student mental health outcomes. However, students' engagement and use of mental health apps is low. Evaluating the usability and quality of mental health apps is essential not only for user engagement but also for safety and overall utility. Few mental health apps have undergone usability and quality evaluations, especially with measures explicitly designed for these apps. The JoyPop app is a resilience-building mental health app with evidence supporting its effectiveness for student mental health. It has yet to be evaluated using standardized measures of mental health app usability and quality, and the influence of usability and quality on use is unknown.</p><p><strong>Objective: </strong>We evaluated the usability and quality of the JoyPop app and the predictive importance of usability and quality, compared to other relevant user characteristics, in predicting intentions to use the app in the future (usage intentions).</p><p><strong>Methods: </strong>Participants (N=183) completed preapp measures assessing demographics and personality traits, then used the app for 1 week, and then completed postapp measures assessing the usability, quality, and use of the JoyPop app. Usability (overall; and subscales: ease of use, interface and satisfaction, and usefulness) and quality (objective, subjective, and perceived impact) were assessed with descriptive statistics. Multiple regression analyses tested the predictive importance of usability and quality on usage intentions after controlling for other user characteristics.</p><p><strong>Results: </strong>Participants rated the JoyPop app's overall usability as \"very good\" (mean 5.63, SD 0.85). Participants rated the JoyPop app's overall objective quality as \"excellent\" (mean 4.06, SD 0.54). Subjective quality ratings were good, with many participants (135/183, 73.8%) indicating they would recommend the app to others. Participants rated the app as having a moderate and helpful impact on their mental health and coping skills (mean 3.48, SD 0.88). In each regression model, usability (β=.56, P<.001) and quality (β=.52, P<.001) were the strongest predictors and predicted usage intentions over and above other user characteristics.</p><p><strong>Conclusions: </strong>Results align with prior research evaluating the JoyPop app and maintain that it is an engaging and high-quality mental health app that can support students. Findings provide important insight into the optimal design of mental health apps for students and inform adaptations to future iterations of the JoyPop app.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e65472"},"PeriodicalIF":2.6,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12248135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561411","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":"Growth Mindset Intervention's Impact on Positive Response to eHealth for Older Adults With Chronic Disease: Randomized Controlled Trial.","authors":"Meijuan Cao, Xiaojuan Xu, Yaling Zeng, Binyu Zhao, Chunqi Xie, Hailu Wu, Jianlin Lou","doi":"10.2196/65519","DOIUrl":"10.2196/65519","url":null,"abstract":"<p><strong>Background: </strong>Although eHealth has shown promise in managing chronic diseases, there remains a substantial digital divide among older adults. The concept of a growth mindset, based on psychological theory, offers a new direction and potential breakthrough for addressing this dilemma.</p><p><strong>Objective: </strong>This study aims to develop and explore the feasibility and efficacy of a growth mindset intervention for older adults with chronic diseases and their positive response to eHealth.</p><p><strong>Methods: </strong>A randomized controlled trial was conducted at the internal medicine departments of a hospital in Hangzhou, Zhejiang Province, China, from September 2021 to October 2022. A total of 77 older patients with chronic disease initially participated in the study. The mean age of the participants was 67.16 (SD 7.04) years, with 42.86% (33/77) being women and 57.14% (44/77) being men. The experimental group received an eHealth program intervention plus a growth mindset intervention over 12 weeks, with weekly sessions for the first 6 weeks and biweekly follow-up phone calls for the next 6 weeks. Each session lasted at least 25-45 minutes. Data were collected using a personal information form, the Implicit Theories of Intelligence Scale-6 (ITIS-6), and a questionnaire on knowledge, willingness, confidence, and practice of smart medicine (KWCP-SM). Measurements were taken at the beginning of the study (T0), immediately after the 6 weeks of training provided to the experimental group (T1), and after the 12 weeks of training for the intervention (T2). Data were analyzed using repeated-measures analysis of variance and analysis of covariance.</p><p><strong>Results: </strong>The final sample comprised 74 participants, of which 36 were in the experimental group and 38 in the control group. After 12 weeks of intervention, the level of growth mindset was significantly higher in the intervention group (P<.05) and significant group × time interaction was observed (Wald=11.57; P<.05) between the two groups. KWCP-SM scores increased in both groups (P<.05), with more significant changes in the intervention group.</p><p><strong>Conclusions: </strong>This study demonstrated the effectiveness of the intervention program in improving the growth mindset level of older adults with chronic diseases and bridging the \"digital divide\" among them. Future studies should refine this intervention, considering the characteristics and needs of this population, to create fault-tolerant and lifelong growth environments that enhance growth mindset in older adults.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e65519"},"PeriodicalIF":2.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12244278/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144609772","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":"Designing a Visual Analytics Tool to Support Data Analysis Tasks of Digital Mental Health Interventions: Case Study.","authors":"Gyuwon Jung, Heejeong Lim, Kyungsik Han, Hyungsook Kim, Uichin Lee","doi":"10.2196/64967","DOIUrl":"10.2196/64967","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Digital health interventions (DHIs) are widely used to manage users' health in everyday life through digital devices. The use of DHIs generates various data, such as records of intervention use and the status of target symptoms, providing researchers with data-driven insights for improving these interventions even after deployment. Although DHI researchers have investigated these data, existing analysis practices have been fragmented, limiting a comprehensive understanding of the data.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;We proposed an analysis task model to help DHI researchers analyze observational data from a holistic perspective. This model was then used to prototype an interactive visual analytics tool. We aimed to evaluate the suitability of the model for DHI data analysis and explore task support using a visual analytics tool.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We constructed a data analysis task model using 3 key components (ie, user grouping criteria) for DHI data analysis: user characteristics, user engagement with DHIs, and the effectiveness of DHIs on target symptoms based on comparisons before and after the intervention. On the basis of this model, we designed Maum Health Analytics, a medium-fidelity prototype of an interactive visual analytics tool. Each feature of the prototype was mapped one-to-one to the analysis task described in the model. To investigate whether the proposed model adequately reflects real-world DHI analysis needs, we conducted a preliminary user study with 5 groups of researchers (N=15). Participants explored the tool through scenario-based analysis tasks using in-the-wild data collected from a mobile DHI service targeting depressive symptoms. Following the session, we conducted interviews to assess the appropriateness of the defined tasks and the usability and practical utility of the visual analytics tool.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;DHI researchers responded positively to both the analysis task model and the visual analytics tool. In the interviews, participants noted that the tool supported the identification of users who needed additional care, informed content recommendations, and helped analyze intervention effectiveness in relation to user characteristics and engagement levels. They also appreciated the tool's role in simplifying analytic tasks and supporting communication across multidisciplinary teams. Additional suggestions included improvements for continuity across tasks and more detailed engagement metrics.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;We proposed an analysis task model and designed an interactive visual analytics tool to support DHI researchers. Our user study showed that the model allows a holistic investigation of DHI data by integrating key analysis components and that the prototype tool simplifies analytic tasks and enhances communication among researchers. As DHIs grow, the proposed model and tool can effectively meet the data analysis requirements of re","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e64967"},"PeriodicalIF":2.6,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12268220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144545077","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":"Self-Determined Health App Evaluation Questionnaire Development: Mixed Methods Study.","authors":"Angelika Rzepka, Kurt Edegger, Stefan Welte, Diotima Bertel, Anja Mandl, Günter Schreier","doi":"10.2196/63739","DOIUrl":"10.2196/63739","url":null,"abstract":"<p><strong>Background: </strong>The rapid increase in the number of health apps and their volatility in Austrian pp stores for Android and Apple are signs of a flourishing business sector in the wellness industry.</p><p><strong>Objective: </strong>In this report, a questionnaire for informed decision-making by users was developed and evaluated using health apps in the categories \"Nutrition\", \"Exercise\", \"Mental Health\" and \"Symptom Checker\".</p><p><strong>Methods: </strong>Evaluation criteria were derived from multiple reference documents and weighted in a survey, as well as a focus group meeting. Further, the selected evaluation criteria were tested against selected apps, which were most popular in the above-mentioned categories in fall 2023.</p><p><strong>Results: </strong>The short questionnaire is to be made publicly available to citizens and covers the categories of the quality of the app provider (regulatory compliance, safety, and quality assurance), the content quality of the app (functionality and evidence-based content), and the user-friendliness of the app. It consists of 6 question items, which appeared to be problematic in the evaluation most often. For ease of use, a short questionnaire with the most critical questions and helpful tips from the evaluation was expanded by the question of importance and with meaningful advice on how to find the right information in an app.</p><p><strong>Conclusions: </strong>The evaluation based on the comprehensive questionnaire using selected apps confirmed the importance of such a questionnaire since most of the apps lacked basic properties in terms of safety and security.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e63739"},"PeriodicalIF":2.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12269797/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144545078","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":"Key Factors Shaping Successful Implementation of the Internet of Things (IoT) in Health Care: Qualitative Study.","authors":"Klas Palm, Carl Kronlid, Marie Elf, Anders Brantnell","doi":"10.2196/71546","DOIUrl":"10.2196/71546","url":null,"abstract":"<p><strong>Background: </strong>The utilization of the Internet of Things (IoT) can significantly enhance health care. However, successful implementation of IoT requires a holistic approach including factors beyond technology alone.</p><p><strong>Objective: </strong>This paper seeks to advance understanding of the factors influencing the successful implementation of IoT solutions in the health care sector, expanding beyond a purely technological focus.</p><p><strong>Methods: </strong>Using data from 22 semistructured interviews with a diverse group of stakeholders-including health care professionals, researchers, municipal and regional officials, and private companies-this study examines 5 leading IoT projects in Sweden.</p><p><strong>Results: </strong>Grounded in sociotechnical systems theory, the research identifies five critical subsystems impacting IoT implementation: (1) laws and regulations, which present challenges due to their complexity and misalignment with rapid technological advances; (2) organizational support, highlighting the essential commitment and resources from management to drive innovation; (3) user focus, emphasizing the importance of engaging end-users-such as patients and health care providers-in the design and implementation of IoT solutions; (4) resources, encompassing both financial investments and human capital needed for effective deployment; and (5) infrastructure, which addresses the technological foundations required to support IoT systems reliably.</p><p><strong>Conclusions: </strong>By shifting attention from adoption to the complexities of implementation, this study fills a critical gap in the literature, which has largely emphasized adoption and technical aspects over practical implementation challenges. The findings provide a nuanced understanding of the primary factors influencing IoT implementation in health care, illuminating both the challenges and potential avenues for successful integration. Ultimately, this research advances the sociotechnical systems theory and also offers valuable insights for managers and policymakers tasked with driving digital transformation in health care systems.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e71546"},"PeriodicalIF":3.0,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12288103/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144699789","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":"Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.","authors":"Rana Zeeshan, John Bogue, Amna Gill, Mamoona Naveed Asghar","doi":"10.2196/64919","DOIUrl":"10.2196/64919","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Ireland is ranked among the most disadvantageous European countries in terms of mental health challenges. Contrary to general health services that primarily focus on diagnosis and treatment, the mental health sector in Ireland deals with highly sensitive psychiatric case notes based on patient-doctor conversations. Such data, therefore, must be collected, analyzed, and stored with an approach customized specifically for psychiatry.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study's objective involves examining the state of data handling practices in the Irish Mental Health Services (MHS), identifying the shortcomings regarding privacy, security, and usability of psychiatric case notes, and proposing an innovative technological solution that addresses most of the surfaced challenges.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The study was conducted using a comprehensive methodology. Our approach involved a thorough literature review, ethics approval, web-based surveys with mental health professionals as participants, interviews of psychiatrists, interactions with mental health organizations, analysis of inspection reports by the Ireland Mental Health Commission, and comparative evaluation of existing IT solutions. The thoroughness of our adopted research methodology instills confidence in the reliability and validity of our findings.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Our study revealed outdated data management, heavy reliance on paperwork resulting in serious repercussions, parallel workload, alarmingly low readability of notes, and a nonviable setup that hinders research and analytical examination. Our survey reported an average score of 4.37 of 10 (SD 1.25) given by participants in terms of technology use. Regarding privacy measures, 75% (n=12) of participants mentioned that staff members are allowed to keep their phones while accessing psychiatric case notes. Similarly, 80% (n=13) of submissions highlighted that multiple staff members can access sensitive notes and patients' contact information. On the other hand, Mental Health Commission reports showed that their inspections are limited to evaluating physical privacy only. Regarding technological comparative analysis, we observed that conventional IT solutions are vulnerable against cyberattacks and fall short in addressing multiple challenges simultaneously. Therefore, an innovative convergence of different technologies is needed. Our research supports speech-to-text transcription for data collection, interactive artificial intelligence for data analysis, and permissioned blockchain for data storage and retrieval. Our survey participants also estimated the proposed solution to optimize their workload by an average of 35%.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Irish MHS seem to be handling psychiatric data under polycrisis circumstances; therefore, a single-dimensional digitization of records would not be sufficient in addressing the wide range of concerns. In addition to highlig","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e64919"},"PeriodicalIF":2.6,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12212889/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486284","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":"Understanding Barriers to Home Safety Assessment Adoption in Older Adults: Qualitative Human-Centered Design Study.","authors":"Jonathan J Lee, Devika Patel, Meghana Gadgil, Simone Langness, Christiana Dagmar von Hippel, Amanda Sammann","doi":"10.2196/66854","DOIUrl":"10.2196/66854","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Falls are the leading cause of injury-related death among adults aged 65 and older. The fear of falling can further limit older adults' independence by contributing to activity restriction, social isolation, and physical decline-ironically increasing the risk of mechanical falls. Although home safety assessments have been shown to reduce fall risk by up to 36% and decrease serious injuries such as hip fractures, their adoption remains low. Understanding the barriers to implementing these assessments is critical to improving their uptake and effectiveness.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to (1) identify specific barriers perceived by older adults in implementing home safety assessments and modifications to reduce the risk of mechanical falls, (2) explore the attitudes of health care professionals and other stakeholders toward these assessments, and (3) identify novel design opportunities to guide the development and implementation of more effective home safety assessment techniques and practices to reduce mechanical fall risk.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This explanatory qualitative study drew on the \"inspiration\" phase of the human-centered design (HCD) research process. We conducted 35 interviews (28 initial and 7 follow-up) with 28 purposefully sampled participants in the San Francisco Bay Area between February and June 2021. Participants included community-dwelling older adults (n=3), geriatricians (n=4), therapists (n=6), product developers (n=2), older health researchers (n=8), and community program leaders (n=5). Interview notes were analyzed inductively by the research team to extract themes and generate insight statements and design opportunities.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Analysis yielded three key insights: (1) older adults often experience a conflict between maintaining independence and implementing safety modifications. One participant described living with a \"repeating mantra in my head throughout the day saying 'above all, don't fall.'\" (2) aesthetic and privacy concerns frequently override safety benefits. Participants rejected modifications that made their homes feel \"institutional.\" (3) access to occupational therapy services-already limited in rural areas-was further constrained by the COVID-19 pandemic, with some providers reporting that travel time \"took up the majority of their day just assessing one home.\" These barriers help explain the low adoption of home safety assessments despite strong supporting evidence. The study identified design opportunities to address these challenges, including customizable, user-friendly safety solutions, dignity-preserving approaches to assessment, and technology-enabled remote alternatives.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study identified specific emotional, aesthetic, logistical, and access-related barriers to the adoption of home safety assessments among older adults. The proposed design solutions offer promising directi","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e66854"},"PeriodicalIF":3.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12212885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486285","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}