Shweta Premanandan, Awais Ahmad, Åsa Cajander, Sami Pohjolainen, Pär Ågerfalk, Mikko Rajanen, Lisette van Gemert-Pijnen
{"title":"HealthCheck: A method for evaluating persuasive mobile health applications.","authors":"Shweta Premanandan, Awais Ahmad, Åsa Cajander, Sami Pohjolainen, Pär Ågerfalk, Mikko Rajanen, Lisette van Gemert-Pijnen","doi":"10.1177/14604582241290969","DOIUrl":"https://doi.org/10.1177/14604582241290969","url":null,"abstract":"<p><p><b>Objectives:</b> This paper introduces HealthCheck, a novel evaluation method for persuasive mobile health applications, aiming to fill the critical gap in quick and effective evaluation tools for this domain. <b>Methods:</b> Following Design Science Research, HealthCheck was developed through problem identification, solution design, implementation, evaluation, and iterative refinement. The implementation involved testing with seven experts to assess its applicability and effectiveness. <b>Results:</b> Feedback from the evaluators indicated that while a few heuristics in HealthCheck were considered irrelevant by some, the majority found the heuristics to be both pertinent and beneficial, especially within the caregiving context. This feedback highlights the practical value of HealthCheck and its potential to offer meaningful insights into improving the usability of persuasive eHealth applications. <b>Conclusion:</b> The study shows HealthCheck effectively evaluates persuasive mobile health applications, offering actionable insights to enhance usability. This validates the relevance and robustness of HealthCheck's heuristics, advancing information systems and human-computer interaction research.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W T Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu
{"title":"Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction.","authors":"Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W T Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu","doi":"10.1177/14604582241291379","DOIUrl":"https://doi.org/10.1177/14604582241291379","url":null,"abstract":"<p><strong>Objectives: </strong>Complex diseases, like diabetic kidney disease (DKD), often exhibit heterogeneity, challenging accurate risk prediction with machine learning. Traditional global models ignore patient differences, and subgroup learning lacks interpretability and predictive efficiency. This study introduces the Interpretable Subgroup Learning-based Modeling (iSLIM) framework to address these issues.</p><p><strong>Methods: </strong>iSLIM integrates expert knowledge with a tree-based recursive partitioning approach to identify DKD subgroups within an EHR dataset of 11,559 patients. It then constructs separate models for each subgroup, enhancing predictive accuracy while preserving interpretability.</p><p><strong>Results: </strong>Five clinically relevant subgroups are identified, achieving an average sensitivity of 0.8074, outperforming a single global model by 0.1104. Post hoc analyses provide pathological and biological evidence supporting subgroup validity and potential DKD risk factors.</p><p><strong>Conclusion: </strong>The iSLIM surpasses traditional global model in predictive performance and subgroup-specific risk factor interpretation, enhancing the understanding of DKD's heterogeneous mechanisms and potentially increasing the adoption of machine learning models in clinical decision-making.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perceived benefits and challenges of using an electronic cancer prediction system for safety netting in primary care: An exploratory study of C the signs.","authors":"Sara Spear, Pamela Knight-Davidson","doi":"10.1177/14604582241279742","DOIUrl":"https://doi.org/10.1177/14604582241279742","url":null,"abstract":"<p><strong>Objectives: </strong>This paper reports on an exploratory study into the perceived benefits and challenges of using an electronic cancer prediction system, C the Signs, for safety netting within a Primary Care Network (PCN) in the East of England.</p><p><strong>Methods: </strong>The study involved semi-structured interviews and a qualitative questionnaire with a sample of 15 clinicians and practice administrators within four GP practices in the PCN.</p><p><strong>Results: </strong>Participants generally perceived benefits of C the Signs for managing and monitoring referrals as part of post-consultation safety netting. Clinicians made little use of the decision support function though, as part of safety netting during the consultation, and referrals were still sent by administrators, rather than directly by clinicians through C the Signs.</p><p><strong>Conclusion: </strong>Emphasising the benefits of C the Signs for post-consultation safety netting is most likely to gain buy-in to the system from clinicians, and can also be used by administrators for shared visibility of referrals. More evidence is needed on the value of C the Signs for safety netting during the consultation, through better diagnosis of cancer, before this is seen as a valued benefit by clinicians and provides motivation to use the system.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Barriers to mobile personal health assistant in patients living with diabetes.","authors":"Mei-Chen Kuo, Chiou-Fang Liou, Jyh-Horng Lin, Ching-Feng Huang, Li-Chueh Weng","doi":"10.1177/14604582241291522","DOIUrl":"https://doi.org/10.1177/14604582241291522","url":null,"abstract":"<p><strong>Objectives: </strong>Continued use of a digital health assistant that helps patients living with diabetes to self-manage and deal with complex problems in order to enhance their health status is a healthcare priority. The objective was to explore the barriers related to the use of a mobile personal health assistant for patients with type 2 diabetes.</p><p><strong>Methods: </strong>Eighty-one participants were offered a personal health assistant through a smartphone application. They completed a questionnaire after initial training (T<sub>0</sub>) and after 1 month's experience (T<sub>1</sub>).</p><p><strong>Results and conclusion: </strong>Most had a positive behavioral intention before using it, but the opposite was found after 1 month. There were positive correlations between behavioral intention and the eight related factors. The strongest correlations were with satisfaction and perceived usefulness at T<sub>0</sub> and T<sub>1</sub>, respectively. The factors' mean values decreased after 1 month. The best predictors of behavioral intention were satisfaction and performance expectancy at T<sub>0</sub> and T<sub>1</sub>, respectively, which predicted the status of 88.4% and 82.7% of the sample. Our findings will help health experts to build better tools that satisfy patients and meet their expectations.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kim Straun, Hayley Marriott, Alba Solera-Sanchez, Stan Windsor, Marie A Neu, Elias Dreismickenbecker, Joerg Faber, Peter Wright
{"title":"The development of an augmented reality application for exercise prescription within paediatric oncology: App design and protocol of a pilot study.","authors":"Kim Straun, Hayley Marriott, Alba Solera-Sanchez, Stan Windsor, Marie A Neu, Elias Dreismickenbecker, Joerg Faber, Peter Wright","doi":"10.1177/14604582241288784","DOIUrl":"https://doi.org/10.1177/14604582241288784","url":null,"abstract":"<p><p><b>Background:</b> Children and young people with cancer face barriers when engaging with exercise, such as treatment-related side effects, psychosocial burdens and lack of individualised provisions. Digital health tools, such as smartphone applications, have emerged as a promising driver to support healthcare provisions in exercise prescription among patients. It is vital to explore how such technologies can be developed more effectively in order to strengthen the evidence supporting their use and for more appropriate implementation within healthcare. This study aims to explore user experiences, preferences and suggested improvements from healthy children and young people aged 9-21 years. <b>Methods:</b> An augmented reality (AR) application was specifically developed for children and young people aged 9-21 years undergoing cancer treatment and a protocol for a pilot study was designed. The target sample of this pilot study is 90 healthy children and young people aged 9-21 years. Practical 30-min workshops will be conducted encouraging participants to engage with the smartphone app. Focus groups will explore participant experiences, preferences, and suggested improvements. Data will be analysed deductively with apriori themes derived from the semi-structured interviews. <b>Discussion:</b> Obtaining user experiences, preferences and suggested improvements is especially important for the development of novel apps, such as those prescribing exercise and using algorithms and augmented reality software. Results from this study will directly influence the development of an augmented reality application, which will also be applied within a long-term trial in paediatric oncology.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Georgios Apostolidis, Antigoni Kakouri, Ioannis Dimaridis, Eleni Vasileiou, Ioannis Gerasimou, Vasileios Charisis, Stelios Hadjidimitriou, Nikolaos Lazaridis, Georgios Germanidis, Leontios Hadjileontiadis
{"title":"A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy.","authors":"Georgios Apostolidis, Antigoni Kakouri, Ioannis Dimaridis, Eleni Vasileiou, Ioannis Gerasimou, Vasileios Charisis, Stelios Hadjidimitriou, Nikolaos Lazaridis, Georgios Germanidis, Leontios Hadjileontiadis","doi":"10.1177/14604582241296072","DOIUrl":"https://doi.org/10.1177/14604582241296072","url":null,"abstract":"<p><p><b>Objective:</b> Integrating artificial intelligence (AI) solutions into clinical practice, particularly in the field of video capsule endoscopy (VCE), necessitates the execution of rigorous clinical studies. <b>Methods:</b> This work introduces a novel software platform tailored to facilitate the conduct of multi-reader multi-case clinical studies in VCE. The platform, developed as a web application, prioritizes remote accessibility to accommodate multi-center studies. Notably, considerable attention was devoted to user interface and user experience design elements to ensure a seamless and engaging interface. To evaluate the usability of the platform, a pilot study is conducted. <b>Results:</b> The results indicate a high level of usability and acceptance among users, providing valuable insights into the expectations and preferences of gastroenterologists navigating AI-driven VCE solutions. <b>Conclusion:</b> This research lays a foundation for future advancements in AI integration within clinical VCE practice.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pernille Blom Pedersen, Mette T Høybye, Line Borreskov Dahl, Cecilie Rud Budtz
{"title":"Do we need a high level of detail in health information animations? An experimental study investigating the association between level of detail and information recall.","authors":"Pernille Blom Pedersen, Mette T Høybye, Line Borreskov Dahl, Cecilie Rud Budtz","doi":"10.1177/14604582241274525","DOIUrl":"https://doi.org/10.1177/14604582241274525","url":null,"abstract":"<p><p><b>Objective:</b> This study examined the potential of simple animations with a low level of detail and their impact on patient's ability to recall information. Also, we examined how the patients' digital health literacy influenced the association.<b>Methods:</b> Over 900 Danish adults were continuously included in this experimental study, and they were allocated to either an animation with a low or high level of detail. Participants answered questionnaires about demographics, digital health literacy, and the ability to recall information. The association between level of detail and information recall was examined by OR (95% CI).<b>Results:</b> The results showed no association between the level of detail and information recall.<b>Conclusion:</b> This novel study supports the potential of simple animations, and future research could advantageously investigate animations with more significant differences in level of detail. The results should be cautiously interpreted, as selection and information problems may have caused bias.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shirley Quach, Adam Benoit, Tara L Packham, Roger Goldstein, Dina Brooks
{"title":"Public mobile chronic obstructive pulmonary disease applications for self-management: Patients and healthcare professionals' perspectives.","authors":"Shirley Quach, Adam Benoit, Tara L Packham, Roger Goldstein, Dina Brooks","doi":"10.1177/14604582241292206","DOIUrl":"https://doi.org/10.1177/14604582241292206","url":null,"abstract":"<p><p>Poorly controlled chronic obstructive pulmonary disease (COPD) can negatively impact quality of life but mobile applications (apps) are popular digital tools that may mitigate these support needs. However, it is unclear if public mobile COPD apps are acceptable to healthcare professionals and patients, people living with COPD. <b>Objectives:</b> The primary objective is to determine people with COPD and healthcare professionals' perspectives on the appropriateness of public mobile COPD apps for supporting individuals' needs. The secondary objectives were to identify the ideal features and styles of mobile COPD apps for COPD self-management; and to identify the facilitators, barriers and needs for future COPD app research and development. <b>Methods:</b> Public mobile COPD apps were rated by questionnaires administered before and after focus group meetings. Ratings were reported as medians with interquartile ranges and median scores were categorized into three levels of appropriateness: 1-3 for inappropriate; 4-6 for uncertain; and 7-9 for appropriate. <b>Results:</b> A total of 6 people with COPD (mean age 68.2 ± 4.8years) and 22 healthcare professionals (mean age 45 ± 8.3years) completed this study. People with COPD identified one and healthcare professionals identified three public mobile COPD apps to be appropriate. They had different preferences for features and engagement styles but similar preferences for facilitators and barriers to use. Stakeholders mutually rated one public mobile COPD app as appropriate for self-management and emphasized the need for apps to be supplementary and customizable, rather than replacements for clinical management.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Big data analytics in the healthcare sector: Opportunities and challenges in developing countries. A literature review.","authors":"David Muhunzi, Lucy Kitambala, Harold L Mashauri","doi":"10.1177/14604582241294217","DOIUrl":"https://doi.org/10.1177/14604582241294217","url":null,"abstract":"<p><p><b>Background:</b> Despite the ongoing efforts to digitalize the healthcare sector in developing countries, the full adoption of big data analytics in healthcare settings is yet to be attained Exploring opportunities and challenges encountered is essential for designing and implementing effective interventional strategies. <b>Objective:</b> Exploring opportunities and challenges towards integrating big data analytics technologies in the healthcare industry in developing countries. <b>Methodology:</b> This was a narrative review study design. A literature search on different databases was conducted including PubMed, ScienceDirect, MEDLINE, Scopus, and Google Scholar. Articles with predetermined keywords and written in English were included. <b>Results:</b> Big data analytics finds its application in population health management and clinical decision-support systems even in developing countries. The major challenges towards the integration of big data analytics in the healthcare sector in developing countries include fragmentation of healthcare data and lack of interoperability, data security, privacy and confidentiality concerns, limited resources and inadequate regulatory and policy frameworks for governing big data analytics technologies and limited reliable power and internet infrastructures. <b>Conclusion:</b> Digitalization of healthcare delivery in developing countries faces several significant challenges. However, the integration of big data analytics can potentially open new avenues for enhancing healthcare delivery with cost-effective benefits.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Architecture designing of digital twin in a healthcare unit.","authors":"Piya Noeikham, Dollaya Buakum, Nikorn Sirivongpaisal","doi":"10.1177/14604582241296792","DOIUrl":"https://doi.org/10.1177/14604582241296792","url":null,"abstract":"<p><p><b>Objectives:</b> This study proposes a novel architecture for designing digital twins in healthcare units. <b>Methods:</b> A systematic research methodology was employed to develop architecture design patterns. In particular, a systematic literature review was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework to answer specific research questions and provide guidelines for designing the architecture. Subsequently, a case study was designed and analyzed at a chemotherapy treatment center for outpatients. <b>Results:</b> System architecture knowledge was distilled from this real-world case study, supplemented by existing software and systems design patterns. A novel five-layer architecture for digital twins in healthcare units was proposed with a focus on the security and privacy of patients' information. <b>Conclusion:</b> The proposed digital twin architecture for healthcare units offers a comprehensive solution that provides modularity, scalability, security, and interoperability. The architecture provides a robust framework for effectively and efficiently managing healthcare environments.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}