Tessy Boedt, Sharon Lie Fong, Eline Dancet, Merijn Mestdagh, Joke Verbeke, David Geerts, Carl Spiessens, Christophe Matthys
Background: Mobile apps are a promising way to improve healthy lifestyle behavior among people with infertility. However, sufficient engagement with mobile health apps is crucial to influence health outcomes, and identifying features to create more effective interventions is urgently needed.
Objective: This study conducted a process evaluation focusing on the use and user experience of the PreLiFe app, a mobile lifestyle app for couples undergoing in vitro fertilization (IVF).
Methods: A mixed methods approach was used among heterosexual couples with infertility undergoing IVF. An objective quantitative study using a tracking-based system assessed the actual use of the PreLiFe app over time in relation to partner use and in relation to the specific fertility treatment. A subjective quantitative study using online questionnaires assessed the acceptability (using the Mobile App Rating Scale) and partner support (based on the Social Support for Diet and Exercise Scale) experienced while using the PreLiFe app. A subjective qualitative study using semistructured interviews evaluated in-depth user experiences with the PreLiFe app.
Results: A total of 106 couples used the PreLiFe app for 2 to 365 days. Overall use was low; 18.9% (20/106) of the men and 49.1% (52/106) of the women used all the modules of the PreLiFe app. Mixed-model analyses revealed that higher app use was observed when a partner used the app as well and during fertility treatment. The average acceptability score was 6 (SD 1) of 10, and patients felt supported by their partners while using the app. Semistructured interviews with 10 patients indicated that the PreLiFe app was easy to use.
Conclusions: Our findings showed good acceptability and user experiences but low actual objective use of a preconception lifestyle app for couples undergoing IVF. To increase use of and engagement with such apps, future studies should further focus on personalization and interaction with partners, health care providers, and other patient data systems.
{"title":"Use and User Experience of a Preconception Lifestyle App for Couples Undergoing in Vitro Fertilization: Mixed Methods Study.","authors":"Tessy Boedt, Sharon Lie Fong, Eline Dancet, Merijn Mestdagh, Joke Verbeke, David Geerts, Carl Spiessens, Christophe Matthys","doi":"10.2196/65815","DOIUrl":"10.2196/65815","url":null,"abstract":"<p><strong>Background: </strong>Mobile apps are a promising way to improve healthy lifestyle behavior among people with infertility. However, sufficient engagement with mobile health apps is crucial to influence health outcomes, and identifying features to create more effective interventions is urgently needed.</p><p><strong>Objective: </strong>This study conducted a process evaluation focusing on the use and user experience of the PreLiFe app, a mobile lifestyle app for couples undergoing in vitro fertilization (IVF).</p><p><strong>Methods: </strong>A mixed methods approach was used among heterosexual couples with infertility undergoing IVF. An objective quantitative study using a tracking-based system assessed the actual use of the PreLiFe app over time in relation to partner use and in relation to the specific fertility treatment. A subjective quantitative study using online questionnaires assessed the acceptability (using the Mobile App Rating Scale) and partner support (based on the Social Support for Diet and Exercise Scale) experienced while using the PreLiFe app. A subjective qualitative study using semistructured interviews evaluated in-depth user experiences with the PreLiFe app.</p><p><strong>Results: </strong>A total of 106 couples used the PreLiFe app for 2 to 365 days. Overall use was low; 18.9% (20/106) of the men and 49.1% (52/106) of the women used all the modules of the PreLiFe app. Mixed-model analyses revealed that higher app use was observed when a partner used the app as well and during fertility treatment. The average acceptability score was 6 (SD 1) of 10, and patients felt supported by their partners while using the app. Semistructured interviews with 10 patients indicated that the PreLiFe app was easy to use.</p><p><strong>Conclusions: </strong>Our findings showed good acceptability and user experiences but low actual objective use of a preconception lifestyle app for couples undergoing IVF. To increase use of and engagement with such apps, future studies should further focus on personalization and interaction with partners, health care providers, and other patient data systems.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e65815"},"PeriodicalIF":3.0,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12569494/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145287418","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}
<p><strong>Background: </strong>Endometriosis is a chronic disease that affects 1 in 10 women worldwide. The disease affects patients' daily life at physical, psychological, and social levels. In recent years, the management of this disease has evolved, thanks in particular to the emergence of digital technologies and associated interventions. However, despite their growing use, there seems to be no systematic review of their development, design, and efficacy.</p><p><strong>Objective: </strong>A systematic review was conducted with the aim of characterizing the development process, design, and effectiveness of interventions using a digital tool for endometriosis.</p><p><strong>Methods: </strong>A total of 7 databases (MEDLINE, APA PsycArticles, Academic Search Premier, Psychology and Behavioral Sciences Collection, APA PsycInfo, SocINDEX, and SPORTDiscus) were searched to identify relevant articles published between 2010 and 2024. The articles selected were analyzed using a methodological framework specific to the development of digital health interventions (Design and Evaluation of Digital Health Interventions [DEDHI]), consisting of 4 phases: preparation (phase 1, specific to application development), optimization (phase 2, dedicated to identifying the best intervention configurations), evaluation (phase 3, aiming to confirm the effectiveness of the intervention), and implementation (phase 4, implementing and updating the intervention on a large scale).</p><p><strong>Results: </strong>A selection of 10 articles was made from the 381 studies retrieved from the databases. Among these 10 studies, 6 distinct digital health interventions were identified. The interventions based on digital devices produced physical and psychological benefits. Analysis using the DEDHI framework showed (1) a disparity in the responses to the different phases (ie, 9/10, 90% of studies responding to phase 1; 3/10, 30% to phase 2; 4/10, 40% to phase 3; and 2/10, 20% to phase 4) and (2) a variability in the completion of the evaluation criteria ranging from 10% (1/10) to 80% (8/10) in phase 1, 0% (0/13) to 77% (10/13) in phase 2, 0% (0/10) to 80% (8/10) in phase 3, and finally 0% (0/13) to 77% (10/13) in phase 4. The objectives of these digital interventions were to support pain management (5/6, 83%), to provide information about the disease and strategies for managing it (4/6, 67%), and to provide psychosocial support (2/6, 33%).</p><p><strong>Conclusions: </strong>This systematic review highlights an emerging literature, limited regarding the use of digital technology in the management of endometriosis, and heterogeneous concerning the methodologies used. This variability limits the generalizability of the results and requires a nuanced interpretation of the available data. However, the results of this review have demonstrated the value of digital technology-based interventions to support endometriosis, while highlighting the importance of a methodological framework to s
{"title":"Endometriosis Support and Development of Digital Technology-Based Interventions: Systematic Review.","authors":"Tivizio Pavic, Kévin Nadarajah, Alain Somat, Geneviève Cabagno, Florence Terrade","doi":"10.2196/71859","DOIUrl":"10.2196/71859","url":null,"abstract":"<p><strong>Background: </strong>Endometriosis is a chronic disease that affects 1 in 10 women worldwide. The disease affects patients' daily life at physical, psychological, and social levels. In recent years, the management of this disease has evolved, thanks in particular to the emergence of digital technologies and associated interventions. However, despite their growing use, there seems to be no systematic review of their development, design, and efficacy.</p><p><strong>Objective: </strong>A systematic review was conducted with the aim of characterizing the development process, design, and effectiveness of interventions using a digital tool for endometriosis.</p><p><strong>Methods: </strong>A total of 7 databases (MEDLINE, APA PsycArticles, Academic Search Premier, Psychology and Behavioral Sciences Collection, APA PsycInfo, SocINDEX, and SPORTDiscus) were searched to identify relevant articles published between 2010 and 2024. The articles selected were analyzed using a methodological framework specific to the development of digital health interventions (Design and Evaluation of Digital Health Interventions [DEDHI]), consisting of 4 phases: preparation (phase 1, specific to application development), optimization (phase 2, dedicated to identifying the best intervention configurations), evaluation (phase 3, aiming to confirm the effectiveness of the intervention), and implementation (phase 4, implementing and updating the intervention on a large scale).</p><p><strong>Results: </strong>A selection of 10 articles was made from the 381 studies retrieved from the databases. Among these 10 studies, 6 distinct digital health interventions were identified. The interventions based on digital devices produced physical and psychological benefits. Analysis using the DEDHI framework showed (1) a disparity in the responses to the different phases (ie, 9/10, 90% of studies responding to phase 1; 3/10, 30% to phase 2; 4/10, 40% to phase 3; and 2/10, 20% to phase 4) and (2) a variability in the completion of the evaluation criteria ranging from 10% (1/10) to 80% (8/10) in phase 1, 0% (0/13) to 77% (10/13) in phase 2, 0% (0/10) to 80% (8/10) in phase 3, and finally 0% (0/13) to 77% (10/13) in phase 4. The objectives of these digital interventions were to support pain management (5/6, 83%), to provide information about the disease and strategies for managing it (4/6, 67%), and to provide psychosocial support (2/6, 33%).</p><p><strong>Conclusions: </strong>This systematic review highlights an emerging literature, limited regarding the use of digital technology in the management of endometriosis, and heterogeneous concerning the methodologies used. This variability limits the generalizability of the results and requires a nuanced interpretation of the available data. However, the results of this review have demonstrated the value of digital technology-based interventions to support endometriosis, while highlighting the importance of a methodological framework to s","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e71859"},"PeriodicalIF":3.0,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12569497/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145293961","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}
Mirou Jaana, Maude Lévesque Ryan, Haitham Tamim, Edward Riachy, Guy Paré
Background: The aging population presents challenges for healthcare systems. Assistive technologies (ATs) like telemonitoring, fall detection, and self-monitoring devices offer potential solutions to support older adults and their care. However, successful implementation relies on their acceptance, which remains poorly understood, particularly among non-users.
Objective: This study explores older adults' perceptions of ATs, including perceived benefits, adoption barriers, and factors influencing willingness to use these technologies.
Methods: A qualitative study was conducted with 31 participants (aged 65+) with varying levels of health and care needs. Data were collected through six focus groups and six in-depth interviews, then analyzed thematically using NVivo software.
Results: Seven themes emerged: 1) Limited familiarity, with greater recognition of fall detection and self-monitoring devices compared to telemonitoring; 2) Perceived benefits, include safety, independence, and chronic disease management; 3) Key concerns include usability, cost, reliability, privacy, and psychological impacts; 4) Suggested improvements comprise user-friendly designs and training programs; 5) Contextual influences identified with independent older adults perceiving greater utility; 6) Strategies for ATs' promotion proposed such as media campaigns, government subsidies, and healthcare endorsements; and 7) Overall willingness to adopt ATs, driven by perceived need, social and healthcare influence, and ease of use.
Conclusions: While ATs offer clear benefits, adoption remains limited due to usability, cost, and psychological concerns. Improving accessibility, training, and integration into traditional healthcare services delivery may facilitate acceptance and use. Future research should focus on inclusive designs and policy interventions to maximize ATs' potential in aging populations.
{"title":"A Qualitative Study of Older Adults' Perspectives on Assistive Technology: Yes but No Thanks!","authors":"Mirou Jaana, Maude Lévesque Ryan, Haitham Tamim, Edward Riachy, Guy Paré","doi":"10.2196/74214","DOIUrl":"10.2196/74214","url":null,"abstract":"<p><strong>Background: </strong>The aging population presents challenges for healthcare systems. Assistive technologies (ATs) like telemonitoring, fall detection, and self-monitoring devices offer potential solutions to support older adults and their care. However, successful implementation relies on their acceptance, which remains poorly understood, particularly among non-users.</p><p><strong>Objective: </strong>This study explores older adults' perceptions of ATs, including perceived benefits, adoption barriers, and factors influencing willingness to use these technologies.</p><p><strong>Methods: </strong>A qualitative study was conducted with 31 participants (aged 65+) with varying levels of health and care needs. Data were collected through six focus groups and six in-depth interviews, then analyzed thematically using NVivo software.</p><p><strong>Results: </strong>Seven themes emerged: 1) Limited familiarity, with greater recognition of fall detection and self-monitoring devices compared to telemonitoring; 2) Perceived benefits, include safety, independence, and chronic disease management; 3) Key concerns include usability, cost, reliability, privacy, and psychological impacts; 4) Suggested improvements comprise user-friendly designs and training programs; 5) Contextual influences identified with independent older adults perceiving greater utility; 6) Strategies for ATs' promotion proposed such as media campaigns, government subsidies, and healthcare endorsements; and 7) Overall willingness to adopt ATs, driven by perceived need, social and healthcare influence, and ease of use.</p><p><strong>Conclusions: </strong>While ATs offer clear benefits, adoption remains limited due to usability, cost, and psychological concerns. Improving accessibility, training, and integration into traditional healthcare services delivery may facilitate acceptance and use. Future research should focus on inclusive designs and policy interventions to maximize ATs' potential in aging populations.</p><p><strong>Clinicaltrial: </strong></p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12608056/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145303791","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}
<p><strong>Background: </strong>As digital technology advances, health-related data can be scientifically analyzed to predict illnesses. The analysis of international data collected during health examinations and health status monitoring, along with data collected during medical care delivery, can contribute to precision medicine and the public good. Understanding citizens' attitudes and predictors of digital health data sharing is critical in promoting data-driven research.</p><p><strong>Objective: </strong>This study aims to determine the public acceptability of data sharing and the attitudes and influencing factors toward data sharing.</p><p><strong>Methods: </strong>A cross-sectional web-based survey was conducted in Japan from November 11-18, 2023. We analyzed 1000 valid responses. Five factors were investigated as predictors of participants' attitudes toward sharing digital health data for social benefit: (1) individual sociodemographic characteristics, (2) types of health data shared, (3) motivation for sharing data, (4) data sharing concerns, and (5) reasonable access and control over the data. The association of these factors with the respondents' willingness to share was analyzed. We summarized demographic characteristics based on gender, age group, affiliated educational institution, and education history and degree. Continuous variables are expressed as mean (SE). Logistic regression was used to analyze the association between attitudes and acceptability of sharing digital health data and the predicting factors, such as participants' preferences regarding data access and control, underlying concerns, motivations for data sharing, demographic characteristics, and eHealth literacy.</p><p><strong>Results: </strong>The mean age of the participants and the SD was 52.8 (19.8) years. We identified the factors influencing respondents' willingness to share a wide range of personal digital health data in Japan, including data in medical records, biobank samples, and digitized social communication. Approximately 70% of the participants were willing to share their digital health data. The motives associated with positive willingness to share digital health data were helping future patients (odds ratio [OR] 2.5860, 95% CI 1.8849-3.5481; P<.001), receiving their own results (OR 2.2261, 95% CI 1.6243-3.0509; P<.001), and receiving financial benefits (OR 1.8059, 95% CI 1.2630-2.5822; P=.001). Concerns associated with negative willingness to share data were data being used for unethical projects (OR 0.5104, 95% CI 0.5104-0.722; P<.001) and agreeing to contract terms that they did not fully understand (OR 0.7114, 95% CI 0.5228-0.9681; P=.04). Compared with men, women were less willing to share data (OR 0.722, 95% CI 0.539-0.967; P=.03). Furthermore, the higher one's eHealth literacy, the more positive their willingness to share digital health data (OR 1.0680, 95% CI 1.0450-1.0920; P<.001).</p><p><strong>Conclusions: </strong>This study found difference
背景：随着数字技术的进步，健康相关数据可以被科学地分析以预测疾病。对健康检查和健康状况监测期间收集的国际数据以及在提供医疗服务期间收集的数据进行分析，可以促进精准医疗和公益事业。了解公民对数字卫生数据共享的态度和预测因素对于促进数据驱动的研究至关重要。目的：本研究旨在确定公众对数据共享的接受程度以及对数据共享的态度和影响因素。方法：于2023年11月11-18日在日本进行基于网络的横断面调查。我们分析了1000个有效回复。研究调查了五个因素作为参与者为社会利益共享数字健康数据态度的预测因子：(1)个人社会人口学特征；(2)共享健康数据的类型；(3)共享数据的动机；(4)数据共享的关注点；(5)对数据的合理访问和控制。分析了这些因素与被调查者分享意愿的关系。我们根据性别、年龄、附属教育机构、教育历史和学位总结了人口统计学特征。连续变量表示为平均值（SE）。使用逻辑回归分析共享数字健康数据的态度和可接受性与预测因素之间的关系，如参与者对数据访问和控制的偏好、潜在问题、数据共享的动机、人口统计学特征和电子健康素养。结果：参与者的平均年龄和SD分别为52.8（19.8）岁。我们确定了影响日本受访者愿意分享广泛的个人数字健康数据的因素，包括医疗记录、生物银行样本和数字化社会通信中的数据。大约70%的参与者愿意分享他们的数字健康数据。与积极分享数字健康数据意愿相关的动机是帮助未来的患者(优势比[OR] 2.5860, 95% CI 1.8849-3.5481；结论：本研究发现人们愿意分享的数据类型存在差异。因此，应该充分向人们传达共享数据的重要性，以激励他们共享数据，为他们的整体健康做出贡献。
{"title":"Public Attitudes and Predictors of Public Awareness of Personal Digital Health Data Sharing for Research: Cross-Sectional Study in Japan.","authors":"Yasue Fukuda, Koji Fukuda","doi":"10.2196/64192","DOIUrl":"10.2196/64192","url":null,"abstract":"<p><strong>Background: </strong>As digital technology advances, health-related data can be scientifically analyzed to predict illnesses. The analysis of international data collected during health examinations and health status monitoring, along with data collected during medical care delivery, can contribute to precision medicine and the public good. Understanding citizens' attitudes and predictors of digital health data sharing is critical in promoting data-driven research.</p><p><strong>Objective: </strong>This study aims to determine the public acceptability of data sharing and the attitudes and influencing factors toward data sharing.</p><p><strong>Methods: </strong>A cross-sectional web-based survey was conducted in Japan from November 11-18, 2023. We analyzed 1000 valid responses. Five factors were investigated as predictors of participants' attitudes toward sharing digital health data for social benefit: (1) individual sociodemographic characteristics, (2) types of health data shared, (3) motivation for sharing data, (4) data sharing concerns, and (5) reasonable access and control over the data. The association of these factors with the respondents' willingness to share was analyzed. We summarized demographic characteristics based on gender, age group, affiliated educational institution, and education history and degree. Continuous variables are expressed as mean (SE). Logistic regression was used to analyze the association between attitudes and acceptability of sharing digital health data and the predicting factors, such as participants' preferences regarding data access and control, underlying concerns, motivations for data sharing, demographic characteristics, and eHealth literacy.</p><p><strong>Results: </strong>The mean age of the participants and the SD was 52.8 (19.8) years. We identified the factors influencing respondents' willingness to share a wide range of personal digital health data in Japan, including data in medical records, biobank samples, and digitized social communication. Approximately 70% of the participants were willing to share their digital health data. The motives associated with positive willingness to share digital health data were helping future patients (odds ratio [OR] 2.5860, 95% CI 1.8849-3.5481; P<.001), receiving their own results (OR 2.2261, 95% CI 1.6243-3.0509; P<.001), and receiving financial benefits (OR 1.8059, 95% CI 1.2630-2.5822; P=.001). Concerns associated with negative willingness to share data were data being used for unethical projects (OR 0.5104, 95% CI 0.5104-0.722; P<.001) and agreeing to contract terms that they did not fully understand (OR 0.7114, 95% CI 0.5228-0.9681; P=.04). Compared with men, women were less willing to share data (OR 0.722, 95% CI 0.539-0.967; P=.03). Furthermore, the higher one's eHealth literacy, the more positive their willingness to share digital health data (OR 1.0680, 95% CI 1.0450-1.0920; P<.001).</p><p><strong>Conclusions: </strong>This study found difference","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e64192"},"PeriodicalIF":3.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12510434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145259291","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}
Liam Pearce Allan, Jane Li, Tara Purvis, David Silvera-Tawil, Jan Cameron, Marlien Varnfield, Vanessa Smallbon, Julia Bomke, Natasha A Lannin, Dominique A Cadilhac
Background: We co-designed the novel multicomponent CAPS (Care Assistant and support Program for people after Stroke or transient ischemic attack) to augment the secondary prevention of stroke.
Objective: Following completion of a feasibility study, we sought feedback from Australian clinicians and service provider representatives (the potential deliverers of CAPS) regarding their perceptions of CAPS for secondary prevention and the pathways to real-world adoption.
Methods: This was a qualitative descriptive study of clinicians and service provider representatives involved in the delivery of stroke care around Australia. A pragmatic convenience sample was obtained by contacting previous CAPS co-design study participants; leveraging professional networks (eg, LinkedIn); and distributing study flyers and newsletters via primary health care networks, general practitioner (GP) networks, and social media posts (Commonwealth Scientific and Industrial Research Organization's LinkedIn pages). Semistructured interviews and focus groups were conducted virtually with clinicians and representatives of the Stroke Foundation (Australia). Qualitative content analysis was undertaken.
Results: Overall, 18 clinicians and 3 Stroke Foundation representatives participated from 5 Australian states, including medical specialists, GPs, nurses, and allied health professionals. We collected their perceptions of CAPS, categorized as potential benefits of the program for secondary prevention, and the considerations for facilitators and challenges to real-world program implementation. The perceived benefits of supporting self-management for patients and facilitating informed decision-making for clinicians were identified. Discussions regarding program implementation included program initiation and duration, patient support considerations, and workflow alignment, which involved consideration of the barriers and enablers to uptake within primary care practice and Stroke Foundation outreach support programs.
Conclusions: There was support from participants for the potential of CAPS to improve the secondary prevention of stroke. However, approaches for addressing the challenges raised by participants, including further implementation and integration considerations, such as sustainability of the model of care, are likely required for CAPS to be successfully embedded within clinical settings.
{"title":"Clinician Perceptions of a Novel Multicomponent Digital Care Assistant and Support Program for People After Stroke or Transient Ischemic Attack (CAPS) for the Secondary Prevention of Stroke: Qualitative Study.","authors":"Liam Pearce Allan, Jane Li, Tara Purvis, David Silvera-Tawil, Jan Cameron, Marlien Varnfield, Vanessa Smallbon, Julia Bomke, Natasha A Lannin, Dominique A Cadilhac","doi":"10.2196/72873","DOIUrl":"10.2196/72873","url":null,"abstract":"<p><strong>Background: </strong>We co-designed the novel multicomponent CAPS (Care Assistant and support Program for people after Stroke or transient ischemic attack) to augment the secondary prevention of stroke.</p><p><strong>Objective: </strong>Following completion of a feasibility study, we sought feedback from Australian clinicians and service provider representatives (the potential deliverers of CAPS) regarding their perceptions of CAPS for secondary prevention and the pathways to real-world adoption.</p><p><strong>Methods: </strong>This was a qualitative descriptive study of clinicians and service provider representatives involved in the delivery of stroke care around Australia. A pragmatic convenience sample was obtained by contacting previous CAPS co-design study participants; leveraging professional networks (eg, LinkedIn); and distributing study flyers and newsletters via primary health care networks, general practitioner (GP) networks, and social media posts (Commonwealth Scientific and Industrial Research Organization's LinkedIn pages). Semistructured interviews and focus groups were conducted virtually with clinicians and representatives of the Stroke Foundation (Australia). Qualitative content analysis was undertaken.</p><p><strong>Results: </strong>Overall, 18 clinicians and 3 Stroke Foundation representatives participated from 5 Australian states, including medical specialists, GPs, nurses, and allied health professionals. We collected their perceptions of CAPS, categorized as potential benefits of the program for secondary prevention, and the considerations for facilitators and challenges to real-world program implementation. The perceived benefits of supporting self-management for patients and facilitating informed decision-making for clinicians were identified. Discussions regarding program implementation included program initiation and duration, patient support considerations, and workflow alignment, which involved consideration of the barriers and enablers to uptake within primary care practice and Stroke Foundation outreach support programs.</p><p><strong>Conclusions: </strong>There was support from participants for the potential of CAPS to improve the secondary prevention of stroke. However, approaches for addressing the challenges raised by participants, including further implementation and integration considerations, such as sustainability of the model of care, are likely required for CAPS to be successfully embedded within clinical settings.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e72873"},"PeriodicalIF":3.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12510440/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145259330","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}
Sarah Annalise Sanders, Serwaa Omowale, Andrea Casas, Alexis Kiyanda, Abigail Smith Kosbie, Yu-Hsuan Lai, Meredith Wallace, Stephen Rathbun, Tiffany Gary-Webb, Esa Davis, Lora Burke, Dara Méndez
Background: The collection of dietary behavior data is crucial in childbearing populations. In addition to observed inequities in perinatal dietary intake and quality, burdensome assessment methods (eg, 24-h dietary recall) may limit research participation for some groups. Ecological momentary assessment (EMA) is associated with reduced recall bias and participant convenience, but there is a dearth of studies with diverse cohorts.
Objective: Our aim is to describe participant completion of food intake items in EMA surveys, overall and across individual characteristics (eg, prepregnancy BMI).
Methods: Using secondary EMA data from participants in a longitudinal study, we report average completion rates of survey items regarding dietary behavior (eg, number of meals eaten in a day) across individual demographic variables (eg, age) and combined strata (eg, race+age) during late pregnancy and throughout 12 months post partum.
Results: In our analytic sample (N=310), the average completion rate was 52.4% (SD 27.8%) during pregnancy, rising to 59.1% (SD 22.0%) after giving birth. Participants who were older (>30 y), overweight before pregnancy, self-identified as White, working, or earning higher annual income (>US $50,000) had higher average completion rates than their counterparts. Examining combined strata, we found some variation in survey completion within racial groups. Black participants using a study phone had higher average completion rates during pregnancy and post partum, but this relationship was reversed for White participants.
Conclusions: Our secondary analysis showed relatively stable engagement with EMA surveys in a childbearing cohort across 15 months. Increased completion rates among privileged groups (eg, White, higher income) may demonstrate the impact of socioeconomic advantages on individual health behaviors. Investigators should consider how intersections between race and other factors (eg, employment) may impact participation and data collection.
{"title":"Completion Rates for Ecological Momentary Assessments of Food Intake During Pregnancy and Post Partum: Descriptive Study.","authors":"Sarah Annalise Sanders, Serwaa Omowale, Andrea Casas, Alexis Kiyanda, Abigail Smith Kosbie, Yu-Hsuan Lai, Meredith Wallace, Stephen Rathbun, Tiffany Gary-Webb, Esa Davis, Lora Burke, Dara Méndez","doi":"10.2196/67081","DOIUrl":"10.2196/67081","url":null,"abstract":"<p><strong>Background: </strong>The collection of dietary behavior data is crucial in childbearing populations. In addition to observed inequities in perinatal dietary intake and quality, burdensome assessment methods (eg, 24-h dietary recall) may limit research participation for some groups. Ecological momentary assessment (EMA) is associated with reduced recall bias and participant convenience, but there is a dearth of studies with diverse cohorts.</p><p><strong>Objective: </strong>Our aim is to describe participant completion of food intake items in EMA surveys, overall and across individual characteristics (eg, prepregnancy BMI).</p><p><strong>Methods: </strong>Using secondary EMA data from participants in a longitudinal study, we report average completion rates of survey items regarding dietary behavior (eg, number of meals eaten in a day) across individual demographic variables (eg, age) and combined strata (eg, race+age) during late pregnancy and throughout 12 months post partum.</p><p><strong>Results: </strong>In our analytic sample (N=310), the average completion rate was 52.4% (SD 27.8%) during pregnancy, rising to 59.1% (SD 22.0%) after giving birth. Participants who were older (>30 y), overweight before pregnancy, self-identified as White, working, or earning higher annual income (>US $50,000) had higher average completion rates than their counterparts. Examining combined strata, we found some variation in survey completion within racial groups. Black participants using a study phone had higher average completion rates during pregnancy and post partum, but this relationship was reversed for White participants.</p><p><strong>Conclusions: </strong>Our secondary analysis showed relatively stable engagement with EMA surveys in a childbearing cohort across 15 months. Increased completion rates among privileged groups (eg, White, higher income) may demonstrate the impact of socioeconomic advantages on individual health behaviors. Investigators should consider how intersections between race and other factors (eg, employment) may impact participation and data collection.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e67081"},"PeriodicalIF":3.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12507379/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253072","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}
Lex L Haegens, Charlotte L Bekker, Marcel Flendrie, Bart J F van den Bemt, Victor J B Huiskes
<p><strong>Background: </strong>Patients with inflammatory rheumatic diseases often experience drug-related problems (DRPs). As these can result in negative health consequences, DRPs should be identified and addressed in a timely manner. Text messaging between patients and pharmacists at the initiative of the patient has the potential to deliver support with DRPs more continuously, increase accessibility and efficiency, and enhance patient involvement in the process of identifying and solving DRPs.</p><p><strong>Objective: </strong>This study aimed to assess the feasibility of text messaging from both the patients' and health care practitioners' perspectives before a large-scale implementation.</p><p><strong>Methods: </strong>Adult patients using a disease-modifying antirheumatic drug were given access to text messaging with pharmacists to discuss DRPs for a period of 8 weeks. Patients received a response from a pharmacist within 4 working hours. Feasibility was evaluated based on five domains of Bowen's framework for designing feasibility studies: (1) demand: actual use, expressed interest (user version of the Mobile Application Rating Scale - section E), and factors impacting future use; (2) limited efficacy: number of DRPs solved, DRPs resulting in follow-up, and DRPs warranting involvement of health care provider; (3) implementation: degree of execution (number of conversations answered within service level) and resources needed (pharmacists' time investment per conversation); (4) acceptability: satisfaction and appropriateness (theoretical framework of acceptability); and (5) practicality: ability to carry out intervention activities (System Usability Scale). Data were collected by means of usage data and a questionnaire.</p><p><strong>Results: </strong>In total, 45 patients (median age 57, IQR 52-65 y; n=31, 69% female) and 5 pharmacists (median age 41, IQR 26-47 y; n=1, 20% female) actively participated in this study. In the demand domain, 158 unique DRPs were raised in 133 conversations, with a median of 3 (IQR 2-4) unique DRPs per patient. Expressed interest was rated high by patients (median 4, IQR 4-5), and 90% (37/41) of patients would recommend text messaging to others. In the limited-efficacy domain, all DRPs were solved, and 77% (122/158) of DRPs warranted involvement of a health care provider. In the implementation domain, 87% (116/133) of conversations were answered within the promised timeframe with a median time investment of 4:15 (IQR 2:21-7:27) minutes per conversation. Acceptability was rated high by patients (median 4, IQR 4-5) and pharmacists (median 5, IQR 4-5). Finally, in the practicality domain, System Usability Scale was scored above average for patients (mean 72, SD 18) and pharmacists (mean 81, SD 16).</p><p><strong>Conclusions: </strong>Text messaging with pharmacists at the initiative of patients with rheumatic diseases seems feasible for discussing DRPs in terms of limited efficacy, implementation, acceptability,
{"title":"Text Messaging Between Patients With Inflammatory Rheumatic Diseases and Pharmacists to Solve Drug-Related Problems: Prospective Feasibility Study.","authors":"Lex L Haegens, Charlotte L Bekker, Marcel Flendrie, Bart J F van den Bemt, Victor J B Huiskes","doi":"10.2196/66514","DOIUrl":"10.2196/66514","url":null,"abstract":"<p><strong>Background: </strong>Patients with inflammatory rheumatic diseases often experience drug-related problems (DRPs). As these can result in negative health consequences, DRPs should be identified and addressed in a timely manner. Text messaging between patients and pharmacists at the initiative of the patient has the potential to deliver support with DRPs more continuously, increase accessibility and efficiency, and enhance patient involvement in the process of identifying and solving DRPs.</p><p><strong>Objective: </strong>This study aimed to assess the feasibility of text messaging from both the patients' and health care practitioners' perspectives before a large-scale implementation.</p><p><strong>Methods: </strong>Adult patients using a disease-modifying antirheumatic drug were given access to text messaging with pharmacists to discuss DRPs for a period of 8 weeks. Patients received a response from a pharmacist within 4 working hours. Feasibility was evaluated based on five domains of Bowen's framework for designing feasibility studies: (1) demand: actual use, expressed interest (user version of the Mobile Application Rating Scale - section E), and factors impacting future use; (2) limited efficacy: number of DRPs solved, DRPs resulting in follow-up, and DRPs warranting involvement of health care provider; (3) implementation: degree of execution (number of conversations answered within service level) and resources needed (pharmacists' time investment per conversation); (4) acceptability: satisfaction and appropriateness (theoretical framework of acceptability); and (5) practicality: ability to carry out intervention activities (System Usability Scale). Data were collected by means of usage data and a questionnaire.</p><p><strong>Results: </strong>In total, 45 patients (median age 57, IQR 52-65 y; n=31, 69% female) and 5 pharmacists (median age 41, IQR 26-47 y; n=1, 20% female) actively participated in this study. In the demand domain, 158 unique DRPs were raised in 133 conversations, with a median of 3 (IQR 2-4) unique DRPs per patient. Expressed interest was rated high by patients (median 4, IQR 4-5), and 90% (37/41) of patients would recommend text messaging to others. In the limited-efficacy domain, all DRPs were solved, and 77% (122/158) of DRPs warranted involvement of a health care provider. In the implementation domain, 87% (116/133) of conversations were answered within the promised timeframe with a median time investment of 4:15 (IQR 2:21-7:27) minutes per conversation. Acceptability was rated high by patients (median 4, IQR 4-5) and pharmacists (median 5, IQR 4-5). Finally, in the practicality domain, System Usability Scale was scored above average for patients (mean 72, SD 18) and pharmacists (mean 81, SD 16).</p><p><strong>Conclusions: </strong>Text messaging with pharmacists at the initiative of patients with rheumatic diseases seems feasible for discussing DRPs in terms of limited efficacy, implementation, acceptability,","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e66514"},"PeriodicalIF":3.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12507129/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction: Identifying Contextual Factors and Strategies for Practice Facilitation in Primary Care Quality Improvement Using an Informatics-Driven Model: Framework Development and Mixed Methods Case Study.","authors":"","doi":"10.2196/84390","DOIUrl":"10.2196/84390","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.2196/32174.].</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e84390"},"PeriodicalIF":3.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12547336/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253069","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}
Minseo Cho, Doeun Park, Myounglee Choo, Doug Hyun Han, Jinwoo Kim
<p><strong>Background: </strong>Adolescence is the period with the highest incidence of mental disorders, with approximately one-third, half, and two-thirds of cases emerging by ages 14, 18, and 25 years, respectively. Proactive interventions are essential, and digital phenotyping has emerged as a promising approach for timely detection and management. However, passive digital phenotyping is limited to sensor-detectable behaviors, while active phenotyping is often confined to clinical scales, missing the opportunity to capture users' subjective perspectives and emotional nuances. Furthermore, the potential therapeutic effect of the data collection process itself on emotional disorder management remains underexplored.</p><p><strong>Objective: </strong>This study developed and tested a mobile app that collects passive and active digital phenotypes related to adolescents' emotions and daily behaviors. The study aimed to assess the app's impact on managing emotional disorders through self-monitoring and to identify daily lifestyle indicators that can predict and track the development of such disorders.</p><p><strong>Methods: </strong>A 4-week parallel, nonequivalent control group design was employed. The intervention group installed a digital phenotype collection tool on their mobile devices for 28 days. Passive data (location, sleep, and screen time) were continuously recorded. Active data were collected through ecological momentary assessments delivered randomly up to 8 times daily, prompting participants to report their current mood and levels of depression, anxiety, and stress. The control group received no intervention. Both groups were assessed at time points on emotional disorders, self-efficacy, and time management. Postintervention interviews were conducted with the intervention group.</p><p><strong>Results: </strong>Thirty-six Korean adolescents participated (19 control, 17 intervention). The intervention group showed significant reductions in depression (P=.04, d=0.42) and stress (P=.03, d=0.46) and improvements in self-efficacy (P=.002, d=0.50) and time management abilities (P<.001, d=0.39), with small to large effect sizes. No significant change was observed in anxiety levels (P=.11). Correlational analysis revealed weak but significant links between passive digital phenotypes and daily emotional states.</p><p><strong>Conclusions: </strong>Integrating active and passive digital phenotypes through a mobile collection tool can help manage emotional disorders in adolescents. Use of the tool was associated with moderate reductions in depression and stress, as well as improvements in self-efficacy and time management, while anxiety levels remained unchanged, possibly due to adolescents' differing perceptions of anxiety. Passive digital phenotypes such as location variability and phone usage showed modest correlations with daily emotional states, supporting their potential as ecological markers. These findings suggest that digital phenotype co
{"title":"Impact of Digital Phenotypes and Question-Asking on Emotional Disorders in Adolescents: 4-Week Field Study.","authors":"Minseo Cho, Doeun Park, Myounglee Choo, Doug Hyun Han, Jinwoo Kim","doi":"10.2196/66536","DOIUrl":"10.2196/66536","url":null,"abstract":"<p><strong>Background: </strong>Adolescence is the period with the highest incidence of mental disorders, with approximately one-third, half, and two-thirds of cases emerging by ages 14, 18, and 25 years, respectively. Proactive interventions are essential, and digital phenotyping has emerged as a promising approach for timely detection and management. However, passive digital phenotyping is limited to sensor-detectable behaviors, while active phenotyping is often confined to clinical scales, missing the opportunity to capture users' subjective perspectives and emotional nuances. Furthermore, the potential therapeutic effect of the data collection process itself on emotional disorder management remains underexplored.</p><p><strong>Objective: </strong>This study developed and tested a mobile app that collects passive and active digital phenotypes related to adolescents' emotions and daily behaviors. The study aimed to assess the app's impact on managing emotional disorders through self-monitoring and to identify daily lifestyle indicators that can predict and track the development of such disorders.</p><p><strong>Methods: </strong>A 4-week parallel, nonequivalent control group design was employed. The intervention group installed a digital phenotype collection tool on their mobile devices for 28 days. Passive data (location, sleep, and screen time) were continuously recorded. Active data were collected through ecological momentary assessments delivered randomly up to 8 times daily, prompting participants to report their current mood and levels of depression, anxiety, and stress. The control group received no intervention. Both groups were assessed at time points on emotional disorders, self-efficacy, and time management. Postintervention interviews were conducted with the intervention group.</p><p><strong>Results: </strong>Thirty-six Korean adolescents participated (19 control, 17 intervention). The intervention group showed significant reductions in depression (P=.04, d=0.42) and stress (P=.03, d=0.46) and improvements in self-efficacy (P=.002, d=0.50) and time management abilities (P<.001, d=0.39), with small to large effect sizes. No significant change was observed in anxiety levels (P=.11). Correlational analysis revealed weak but significant links between passive digital phenotypes and daily emotional states.</p><p><strong>Conclusions: </strong>Integrating active and passive digital phenotypes through a mobile collection tool can help manage emotional disorders in adolescents. Use of the tool was associated with moderate reductions in depression and stress, as well as improvements in self-efficacy and time management, while anxiety levels remained unchanged, possibly due to adolescents' differing perceptions of anxiety. Passive digital phenotypes such as location variability and phone usage showed modest correlations with daily emotional states, supporting their potential as ecological markers. These findings suggest that digital phenotype co","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e66536"},"PeriodicalIF":3.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12505407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253014","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}
Background: Patients with long-term conditions, such as stroke, require regular follow-up visits to health care professionals to identify changes in symptoms. The digital previsit tool Strokehälsa (Strokehealth) has been designed to encourage individuals with stroke to reflect on stroke-related health concerns before a follow-up visit, thereby potentially enhancing their engagement during the visit. Strokehealth has previously been evaluated using a patient satisfaction survey (part 1), but there remains a need to further explore patients' perceptions and needs to optimize its functionality before broader implementation.
Objective: The overall aim was to attain deeper insights into patients' views and experiences of using the digital previsit tool Strokehealth before a follow-up visit. A secondary aim was to identify potential improvements to the tool based on these insights.
Methods: For this qualitative study, patients who had used Strokehealth version 1.0 before a follow-up visit were recruited through the previous survey between November 2020 and June 2021. Individual semistructured interviews were conducted, and data were analyzed using reflexive thematic analysis. Subsequent workshops were held with people with firsthand experiences of stroke, other stakeholders (including health professionals and researchers), and a web consultant to finalize decisions regarding adjustments to be implemented in Strokehealth version 2.0.
Results: Interviews were conducted with 33 participants (23 men and 10 women), with a median age of 67 (IQR 55-76) years. Analysis of the data regarding participants' experiences of using Strokehealth revealed three overarching themes: (1) a supporting tool for preparing dialogue and identifying needs, (2) how Strokehealth is introduced and communicated affects perceived usability, and (3) the wording and structure of Strokehealth influences the response process. The findings captured various aspects of receiving and using the digital previsit tool, highlighting its simplicity and purpose. Overall, Strokehealth was well received and contributed to a sense of being well cared for. Participants generally not only found Strokehealth easy to use but also shared suggestions on how to better address stroke-related issues, such as mental fatigue or pain. Examples of changes that have been implemented in Strokehealth version 2.0, based on participant feedback, include improved explanatory texts and expanded opportunities for free text.
Conclusions: The findings indicate that the freely available digital previsit tool Strokehealth was generally well received by patients with stroke who were scheduled for follow-up visits in outpatient settings.
{"title":"Patients' Perceptions of Using a Digital Previsit Tool in Outpatient Settings (Part 2): Qualitative Study.","authors":"Petra Pohl, Emma K Kjörk","doi":"10.2196/73477","DOIUrl":"10.2196/73477","url":null,"abstract":"<p><strong>Background: </strong>Patients with long-term conditions, such as stroke, require regular follow-up visits to health care professionals to identify changes in symptoms. The digital previsit tool Strokehälsa (Strokehealth) has been designed to encourage individuals with stroke to reflect on stroke-related health concerns before a follow-up visit, thereby potentially enhancing their engagement during the visit. Strokehealth has previously been evaluated using a patient satisfaction survey (part 1), but there remains a need to further explore patients' perceptions and needs to optimize its functionality before broader implementation.</p><p><strong>Objective: </strong>The overall aim was to attain deeper insights into patients' views and experiences of using the digital previsit tool Strokehealth before a follow-up visit. A secondary aim was to identify potential improvements to the tool based on these insights.</p><p><strong>Methods: </strong>For this qualitative study, patients who had used Strokehealth version 1.0 before a follow-up visit were recruited through the previous survey between November 2020 and June 2021. Individual semistructured interviews were conducted, and data were analyzed using reflexive thematic analysis. Subsequent workshops were held with people with firsthand experiences of stroke, other stakeholders (including health professionals and researchers), and a web consultant to finalize decisions regarding adjustments to be implemented in Strokehealth version 2.0.</p><p><strong>Results: </strong>Interviews were conducted with 33 participants (23 men and 10 women), with a median age of 67 (IQR 55-76) years. Analysis of the data regarding participants' experiences of using Strokehealth revealed three overarching themes: (1) a supporting tool for preparing dialogue and identifying needs, (2) how Strokehealth is introduced and communicated affects perceived usability, and (3) the wording and structure of Strokehealth influences the response process. The findings captured various aspects of receiving and using the digital previsit tool, highlighting its simplicity and purpose. Overall, Strokehealth was well received and contributed to a sense of being well cared for. Participants generally not only found Strokehealth easy to use but also shared suggestions on how to better address stroke-related issues, such as mental fatigue or pain. Examples of changes that have been implemented in Strokehealth version 2.0, based on participant feedback, include improved explanatory texts and expanded opportunities for free text.</p><p><strong>Conclusions: </strong>The findings indicate that the freely available digital previsit tool Strokehealth was generally well received by patients with stroke who were scheduled for follow-up visits in outpatient settings.</p><p><strong>Trial registration: </strong>Researchweb 275135; https://www.researchweb.org/is/vgr/project/275135.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e73477"},"PeriodicalIF":3.0,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12538183/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145239889","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}
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