Caroline Chao, David J Berlowitz, Olivia Metcalf, Prudence A Gregson, Graeme K Hart, Mark E Howard
{"title":"User-centred design of a patient portal for persons living with home mechanical ventilation and long-term tracheostomy: a mixed methods study.","authors":"Caroline Chao, David J Berlowitz, Olivia Metcalf, Prudence A Gregson, Graeme K Hart, Mark E Howard","doi":"10.1080/17538157.2024.2441152","DOIUrl":"10.1080/17538157.2024.2441152","url":null,"abstract":"<p><p>Patient portals are secure online platforms that offer patients access to various functions such as personal health information. While patient portals are being increasingly offered by health services, there are limited data on their use for persons living with home mechanical ventilation (HMV) and/or long-term tracheostomy. This study, conducted at an Australian hospital's home mechanical ventilation and long-term tracheostomy services, aimed to explore the perspectives and attitudes of patients and carers regarding the introduction of a patient portal. There were 231 survey responses and 6 semi-structured interview participants. Interest in using a patient portal was high with 87% of survey respondents indicating that they would consider using a patient portal if it were offered. Those that were more likely to be interested were younger, had higher levels of education, and reported being confident with using technology and accessing health information. The functions of a patient portal that were of most interest were the ability to view their own health information including ventilation and/or tracheostomy information and the ability to order ventilation and tracheostomy-related equipment. This study is the first step of a user-centered design for the implementation of a patient portal for persons living with home mechanical ventilation and/or long-term tracheostomy.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"18-32"},"PeriodicalIF":0.0,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Areti Efthymiou, Argyroula Kalaitzaki, Michael Rovithis, Gregor Petrič
{"title":"Validation of the eHealth literacy scales: comparison between the shorter and longer versions.","authors":"Areti Efthymiou, Argyroula Kalaitzaki, Michael Rovithis, Gregor Petrič","doi":"10.1080/17538157.2025.2451427","DOIUrl":"10.1080/17538157.2025.2451427","url":null,"abstract":"<p><p>Digital service provision became necessary during and after the COVID-19 pandemic highlighting the technological disparity experienced by healthcare professionals and healthcare users. eHealth Literacy skills are mostly measured with the use of the eHeals, but recently more instruments have been developed to meet this need. The aim of the study was to validate and compare the two scales in Greek: the eHeals and the revised eHeals-Extended. In total, 401 participants replied to the eHeals, the revised eHeals-Extended, and the HLS-EU-Q16. The eHeals scales provided good psychometric properties. The validation of the eHeals confirmed the two dimensions with high internal consistency (total score α = .91, eHeals1 α = .88, eHeals2 α = .78). The revised eHeals-Extended exploratory analysis extracted five factors with satisfactory internal consistency (Cronbach's α = .62-.89): awareness and quality of resources online, understanding online information, smart on the net, accessing and validating online information and perceived efficiency. The use of the revised eHeals-Extended and eHeals validated in Greek, could be valuable tools in clinical and research settings. The eHeals could be used as an additional tool when eHealth Literacy is not the core concept measured and the revised eHeals-Extended can be used when researchers wish to measure eHealth Literacy concept more thoroughly.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"33-47"},"PeriodicalIF":0.0,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143019750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Usability testing of a palliative care information resource - outcomes from the formative evaluation of the CarerHelp Toolkit prototype.","authors":"A Adams, L Miller-Lewis, J Tieman","doi":"10.1080/17538157.2024.2433942","DOIUrl":"10.1080/17538157.2024.2433942","url":null,"abstract":"<p><p>CarerHelp is an online resource supporting Australian family carers providing palliative care to loved ones at home. To confidently care for a dying person, family carers require access to evidence-based resources, accessible day or night when healthcare professionals or services are unavailable. Given carer diversity, usability evaluations assist online developers in shaping information experiences to family carer's needs and abilities. This study aimed to use a comprehensive usability testing protocol to evaluate the prototype, with a sample involving six family carers aged 36-74 years. A concurrent think-aloud approach generated quantitative and qualitative feedback from scenario-based tasks. Single ease questions (SEQ) and computer satisfaction usability questionnaire (CSUQ) assessed end-user attitudes. Performance, SEQ, and CSUQ were calculated, errors were analyzed, and severity rating applied. Overall, family carers identified 54 errors. All carers detected highly severe errors impacting critical function; technical ability influenced error detection, affecting navigation, utility, and content. Language modification was guided by family carers' narratives, contextualizing interface use with real-life experiences. For the multidisciplinary development team, formal reporting of findings was advantageous in informing meaningful reiterative interface changes and giving a voice to family carers. This approach was essential to assist as many carers as possible in accessing palliative care information when needed.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142879161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rafaela Oliveira, Susana Pedras, Carlos Veiga, Luís Moreira, Daniel Santarém, Daniel Guedes, Hugo Paredes, Ivone Silva
{"title":"Adherence, acceptability, and usability of a smartphone app to promote physical exercise in patients with peripheral arterial disease and intermittent claudication.","authors":"Rafaela Oliveira, Susana Pedras, Carlos Veiga, Luís Moreira, Daniel Santarém, Daniel Guedes, Hugo Paredes, Ivone Silva","doi":"10.1080/17538157.2025.2465527","DOIUrl":"10.1080/17538157.2025.2465527","url":null,"abstract":"<p><p>This study presents the development and assessment of a mobile application - the WalkingPAD app - aimed at promoting adherence to physical exercise among patients with Peripheral Arterial Disease (PAD). The assessment of adherence, acceptability, and usability was performed using mixed methods. Thirty-eight patients participated in the study with a mean age of 63.4 years (SD = 6.8). Thirty patients used the application for three months, responded to a semi-structured interview, and completed a task test and the System Usability Scale (SUS, ranging from 0 to 100). The application's adherence rate was 73%. When patients were asked about their reasons for using the app, the main themes that emerged were motivation, self-monitoring, and support in fulfilling a commitment. The average SUS score was 82.82 (SD = 18.4), indicating high usability. An upcoming version of the WalkingPAD app is expected to redesign both tasks - opening the app and looking up the walking history - which were rated as the most difficult tasks to accomplish. The new version of the WalkingPAD app will incorporate participants' comments and suggestions to enhance usability for this population.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"49-62"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143560551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Margarida Duarte, Catarina Ferreira da Silva, Sérgio Moro
{"title":"Machine learning models to predict the COVID-19 reproduction rate: combining non-pharmaceutical interventions with sociodemographic and cultural characteristics.","authors":"Margarida Duarte, Catarina Ferreira da Silva, Sérgio Moro","doi":"10.1080/17538157.2025.2491517","DOIUrl":"10.1080/17538157.2025.2491517","url":null,"abstract":"<p><p>Since the beginning of the COVID-19 pandemic, countries worldwide have implemented a set of Non-Pharmaceutical Interventions (NPIs) to prevent the dissemination of the pandemic. Few studies applied machine learning models to compare the use of NPIs, socioeconomic and demographic characteristics, and cultural dimensions in predicting the reproduction rate R<sub>t</sub>. We adopted the CRISP-DM methodology using as data sources the \"Our World in Data COVID-19,\" the \"Oxford COVID-19 Government Response Tracker\" and the Hofstede Insights data. We analyzed the impact that Hofstede's cultural dimensions, the implementation of various degrees of restriction of NPIs and the sociodemographic variables may have in the reproduction rate by applying machine learning models to understand whether cultural characteristics are useful information to improve reproduction rate predictions. We included data from 101 countries to train several machine learning models to compare the results between the models with and without Hofstede's cultural dimensions. Our results show the use of cultural dimensions helps to improve the models, and that the ones that obtained a better prediction of the R<sub>t</sub> were the ensemble models, especially the Random Forest.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"81-99"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N Sriraam, H S Sanjay, B R Purnima, Krv Subramanian, Vyacheslav Krut'ko, Oleg Mitrokhin, Yury Zhernov
{"title":"A critical review of geriatric care in India with regard to the needs, challenges and opportunities: a wearable care approach.","authors":"N Sriraam, H S Sanjay, B R Purnima, Krv Subramanian, Vyacheslav Krut'ko, Oleg Mitrokhin, Yury Zhernov","doi":"10.1080/17538157.2025.2488747","DOIUrl":"10.1080/17538157.2025.2488747","url":null,"abstract":"<p><p>Home is more than just a word; it represents a profound emotion for every individual. Hospitalization often deprives the geriatric population of this comforting environment due to their deteriorating health. However, with technology-oriented automated and monitored assistance systems, older adults can receive adequate care and support at home, allowing them to lead independent lives. This approach requires robust systems to assess relevant information, process data in real time, and provide dynamic solutions when necessary. Ambient Assistive Living (AAL) systems are crucial to improving the quality of life for older adults, despite the challenges they pose. India, with its diverse cultural and demographic landscape, presents unique challenges and opportunities in geriatric care. While older adults aspire to live in their own homes, they often face barriers such as limited access to affordable and user-friendly technology. However, the Indian older adult population also presents opportunities for innovation and tailored solutions that consider cultural nuances and family dynamics. This article provides an overview of available geriatric assistance technologies, highlighting their advantages and disadvantages. It critically analyzes geriatric care in the Indian context, focusing on the specific challenges and opportunities presented by the country's cultural and demographic diversity. By exploring potential integrated solutions, this article aims to enhance healthcare delivery and improve the quality of life for older adults in India.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"63-80"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143997131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Celine Cammarata, Elaine Wethington, Adam K Anderson, Eve De Rosa
{"title":"Older adults' views on training tools to prevent cognitive decline.","authors":"Celine Cammarata, Elaine Wethington, Adam K Anderson, Eve De Rosa","doi":"10.1080/17538157.2024.2417659","DOIUrl":"10.1080/17538157.2024.2417659","url":null,"abstract":"<p><p>Computerized training platforms could be an accessible means for older adults to maintain cognitive health, and several such tools are already commercially available. However, it remains unclear whether older adults use these tools if training is not externally prescribed. We explored older adults' self-initiated experiences with cognitive training. We conducted semi-structured interviews with 13 community-dwelling adults aged 58-85 years, comprising university retirees (<i>N</i> = 8) and public housing residents (<i>N</i> = 5). Interviews were analyzed by thematic analysis. No participants voluntarily used cognitive training, and those who had done so previously reported negative experiences. Several factors shaped older adults' engagement with cognitive training, especially a preference for stimulating activities that are organic and inherently enjoyable. We reveal a mismatch between older adults' priorities and the interventions currently available and uncover issues of access and interest among low-income and minority individuals. We suggest ways to better align future interventions with older adults' priorities.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"246-258"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniele Pala, Jia Xu, Yuezhi Xie, Yuqin Zhang, Li Shen
{"title":"Identifying biological markers and sociodemographic factors that influence the gap between phenotypic and chronological ages.","authors":"Daniele Pala, Jia Xu, Yuezhi Xie, Yuqin Zhang, Li Shen","doi":"10.1080/17538157.2024.2400247","DOIUrl":"10.1080/17538157.2024.2400247","url":null,"abstract":"<p><strong>Introduction: </strong>The world's population is aging rapidly, leading to increased public health and economic burdens due to age-related cardiovascular and neurodegenerative diseases. Early risk detection is essential for prevention and to improve the quality of life in elderly individuals. Plus, health risks associated with aging are not directly tied to chronological age, but are also influenced by a combination of environmental exposures. Past research has introduced the concept of \"Phenotypic Age,\" which combines age with biomarkers to estimate an individual's health risk.</p><p><strong>Methods: </strong>This study explores which factors contribute most to the gap between chronological and phenotypic ages. We combined ten machine learning regression techniques applied to the NHANES dataset, containing demographic, laboratory and socioeconomic data from 41,474 patients, to identify the most important features. We then used clustering analysis and a mixed-effects model to stratify by sex, ethnicity, and education.</p><p><strong>Results: </strong>We identified 28 demographic, biological and environmental factors related to a significant gap between phenotypic and chronological ages. Stratifying for sex, education and ethnicity, we found statistically significant differences in the outcome distributions.</p><p><strong>Conclusion: </strong>By showing that health risk prevention should consider both biological and sociodemographic factors, we offer a new approach to predict aging rates and potentially improve targeted prevention strategies for age-related conditions.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"162-176"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11576235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335972","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}
Mostafa Amini, Ali Bagheri, Martin P Paulus, Dursun Delen
{"title":"Multimorbidity in neurodegenerative diseases: a network analysis.","authors":"Mostafa Amini, Ali Bagheri, Martin P Paulus, Dursun Delen","doi":"10.1080/17538157.2024.2405869","DOIUrl":"10.1080/17538157.2024.2405869","url":null,"abstract":"<p><p>The socioeconomic costs of neurodegenerative diseases (NDs) are highly affected by comorbidities. This study aims to enhance our understanding of the prevalent complications of NDs through the lens of network analysis. A multimorbidity network (MN) was constructed based on a longitudinal EHR dataset of 93,647,498 diagnoses of 824,847 patients. The association between the conditions was measured by two metrics, i.e. Phi-correlation and Cosine Index (CI). Based on multiple network centrality measures, a fused ranking list of the prevalent multimorbidities was provided. Finally, class-level networks depicting the prevalence and strength of diseases in different classes were constructed. The general MN included 928 diseases and 337,253 associations. Considering a 99% confidence level, two networks of 575 relationships were constructed based on Phi-correlations (73 diseases) and CI (102 diseases). Five out of 19 ICD-9 categories did not appear in either of the networks. Also, ND's immediate MNs for the top 50% of the significant associations included 42 relationships, whereas the Phi-correlation and CI networks included 36 and 34 diseases, respectively. Thirteen diseases were identified as the most notable multimorbidities based on various centrality measures. The analysis framework helps practitioners toward better resource allocations, more effective preventive screenings, and improved quality of life for ND patients and caregivers.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"212-226"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akash Pal, Pragya Taneja, Milind K Yadav, Pratap C Mohanty
{"title":"Health seeking behavior during high health-risk period: a bibliometric analysis.","authors":"Akash Pal, Pragya Taneja, Milind K Yadav, Pratap C Mohanty","doi":"10.1080/17538157.2024.2412563","DOIUrl":"10.1080/17538157.2024.2412563","url":null,"abstract":"<p><p>Health-seeking behavior represents the actions taken to prevent the disease and promote health. It emphasizes both the illness response and the healthcare utilization driven by perceived threat and effectiveness of the preventive behavior. This study aims to scrutinize the progression of research conducted on health-seeking behavior in high-risk period such as COVID-19 using bibliometric analysis. The bibliometric analysis is performed on Scopus and Web of Science databases. Research articles in the English language were extracted using keywords, such as health-seeking behavior and COVID. Eight hundred twenty-five research articles at the final and early publication stage in the English language were extracted from Scopus and 623 from WoS using the keywords Health Seeking Behavior and COVID. Of these, 259 in Scopus and 109 in WoS were selected for the final study following the authors' eligibility criteria. It analyses the research directions, countries of publications, core journals, leading authors and institutions and important publications followed by research trends in this field. It summarizes the academic interest of the researchers in health-seeking behavior in low- and middle-income countries. The paper informs and directs researchers and policymakers on the state of research in health-seeking behavior during high-health risk periods.</p>","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"227-245"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}