Bernhard Remschmidt, David Muallah, Marcus Rieder, David T Liu
{"title":"Public interest and seasonal peaks for wisdom teeth related web inquiries - A google trends analysis.","authors":"Bernhard Remschmidt, David Muallah, Marcus Rieder, David T Liu","doi":"10.1177/14604582241270759","DOIUrl":"https://doi.org/10.1177/14604582241270759","url":null,"abstract":"<p><p><b>Objective:</b> The study aimed to analyze the public interest in wisdom teeth-related search terms as well as regional and seasonal trends based on information from the Google search engine.</p><p><strong>Methods: </strong>With the help of the online search query tool, Google Trends, the public interest in the primary search term \"wisdom teeth\" for the timeframe between January 1st, 2004 and September 31st, 2021 was analyzed. To do so, a country-specific search was conducted in English-speaking countries (the USA, the UK, Canada, and Australia) in the northern and southern hemispheres. The extracted time series was examined for reliability, and a Cosinor analysis evaluated the statistical significance of seasonal interest peaks.</p><p><strong>Results: </strong>The reliability of averaged time series data on the search term \"wisdom teeth\" was excellent in all examined countries. In all countries analyzed, \"wisdom teeth removal\" was one of the most common related search terms. Significant interest peaks for wisdom teeth-related search terms were found in Canada and the USA during summer (<i>p</i> < .001). In Canada and the USA, significant seasonal patterns with the highest interest during the summer months, could be displayed.</p><p><strong>Conclusion: </strong>This phenomenon could be caused by increased wisdom teeth-related complaints induced by seasonal climate changes.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241270759"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142332748","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":"Improving uptake of population health management through scalable analysis of linked electronic health data.","authors":"Andras B Varady, Richard M Wood","doi":"10.1177/14604582241259344","DOIUrl":"10.1177/14604582241259344","url":null,"abstract":"<p><p>Population Health Management - often abbreviated to PHM - is a relatively new approach for healthcare planning, requiring the application of analytical techniques to linked patient level data. Despite expectations for greater uptake of PHM, there is a deficit of available solutions to help health services embed it into routine use. This paper concerns the development, application and use of an interactive tool which can be linked to a healthcare system's data warehouse and employed to readily perform key PHM tasks such as population segmentation, risk stratification, and deriving various performance metrics and descriptive summaries. Developed through open-source code in a large healthcare system in South West England, and used by others around the country, this paper demonstrates the importance of a scalable, purpose-built solution for improving the uptake of PHM in health services.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241259344"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141879857","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":"Digital access among a national sample of currently and formerly homeless veterans in 2022.","authors":"Jack Tsai, Austin Lampros, Jessica Blue-Howells","doi":"10.1177/14604582241276974","DOIUrl":"10.1177/14604582241276974","url":null,"abstract":"<p><p><b>Background:</b> Digital technologies are essential for connecting to the Internet and communicating with others. <b>Methods:</b> This study used data from the 2022 Project Community Homelessness Assessment, Local Education and Networking Groups (CHALENG) survey, which surveyed a national sample of 1992 homeless-experienced veterans (HEV) about use of cell phones, smart phones, computers, laptops, and the Internet. Data were analyzed to compare currently and formerly homeless veterans on digital access and to identify characteristics associated with never using the Internet. <b>Results:</b> Over 75% of HEV reported having a cellphone and over 65% reported having a smartphone. Internet use was common among HEV as 74% of currently homeless veterans and 77% of formerly homeless veterans reported using the Internet. Among HEV who used the Internet, over 70% used the Internet at least weekly. There was no significant difference between currently and formerly homeless veterans on their Internet use in the total sample and subsamples of only black and only Hispanic veterans. Overall, HEV who were older, black non-Hispanic, and living in the Southeast were more likely to never use the Internet. <b>Conclusions:</b> These findings highlight the potential for technology-based interventions among HEV, and suggest a digital divide based on age, race, and geography.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241276974"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019652","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}
Hexian Zhang, Chao Liu, Pingzhu Yang, Sen Yang, Qing Yu, Rui Liu
{"title":"The concept of AI-assisted self-monitoring for skeletal malocclusion.","authors":"Hexian Zhang, Chao Liu, Pingzhu Yang, Sen Yang, Qing Yu, Rui Liu","doi":"10.1177/14604582241274511","DOIUrl":"10.1177/14604582241274511","url":null,"abstract":"<p><p><b>Background:</b> Skeletal malocclusion is common among populations. Its severity often increases during adolescence, yet it is frequently overlooked. The introduction of deep learning in stomatology has opened a new avenue for self-health management. <b>Methods:</b> In this study, networks were trained using lateral photographs of 2109 newly diagnosed patients. The performance of the models was thoroughly evaluated using various metrics, such as sensitivity, specificity, accuracy, confusion matrix analysis, the receiver operating characteristic curve, and the area under the curve value. Heat maps were generated to further interpret the models' decisions. A comparative analysis was performed to assess the proposed models against the expert judgment of orthodontic specialists. <b>Results:</b> The modified models reached an impressive average accuracy of 84.50% (78.73%-88.87%), with both sex and developmental stage information contributing to the AI system's enhanced performance. The heat maps effectively highlighted the distinct characteristics of skeletal class II and III malocclusion in specific regions. In contrast, the specialist achieved a mean accuracy of 71.89% (65.25%-77.64%). <b>Conclusions:</b> Deep learning appears to be a promising tool for assisting in the screening of skeletal malocclusion. It provides valuable insights for expanding the use of AI in self-monitoring and early detection within a family environment.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241274511"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141908387","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":"Evaluation of treatment information quality on hypertension and diabetes on WeChat and TikTok: A cross-sectional content analysis.","authors":"Minxia Wu, Yongmei Yang, Yanxing Chen","doi":"10.1177/14604582241275824","DOIUrl":"10.1177/14604582241275824","url":null,"abstract":"<p><p><b>Objective:</b> This study aimed to assess the quality of the information in WeChat and TikTok videos related to hypertension and diabetes treatment. <b>Methods:</b> A sample of 120 Chinese videos was collected based on specific inclusion and exclusion criteria. The quality was evaluated using DISCERN, JAMA and the latest edition of Chinese guidelines for hypertension and diabetes prevention and treatment, and two observers independently scored each video using the three assessment tools. <b>Results:</b> Among all 120 videos, only 10 scored above 38 points in DISCERN, with 45 videos rated as \"very poor\". None of the video met all JAMA criteria simultaneously, and there were gaps in accuracy and completeness compared to the two guidelines. Furthermore, there was no significant correlation between information quality and the number of likes and comments. <b>Conclusion:</b> The current quality of information on the treatment of hypertension and diabetes on WeChat and TikTok was unsatisfactory. Consequently, the government should strengthen oversight of information quality, and social media platforms should actively review health-related content to prevent inaccurate information dissemination. Individuals should enhance their digital and health literacy.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241275824"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977308","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":"When and in what circumstances is patient-targeted googling acceptable for health and social care professionals? A narrative review and thematic analysis.","authors":"Gemma Ryan-Blackwell, Jessica Jackson, Sharif Haider","doi":"10.1177/14604582241285756","DOIUrl":"10.1177/14604582241285756","url":null,"abstract":"<p><p><b>Background:</b> Patient-targeted Googling (PTG) is the use of Internet search engines by care professionals to source information about their patients. <b>Objective:</b> To thematically analyse research evidence on PTG and explain what, why and how it can be used for the benefit of patient care. <b>Methods:</b> The Scale for the Assessment of Narrative Review articles was used as a reporting tool. Studies were identified via AMED, CINAHL, MEDLINE and APA PsycInfo, ProQuest, and grey literature via Google Scholar. <b>Results:</b> 19 studies were included, and content was thematically analysed. Themes included practitioner behaviours, attitudes and experience, the nature of online information, when PTG is not acceptable, when, why and how is PTG acceptable and the need for education and training on PTG. <b>Discussion & conclusion:</b> In the absence of professional guidance, it makes practical recommendations about why and in what circumstances can use patient-targeted Googling for the benefit of patient care.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241285756"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309167","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}
Jeffrey J Dowden, Ryan W Pretty, Jennifer M Shea, Matthew Dermody, Gregory Doyle, Scott Antle, Dan Bond
{"title":"A novel technology for harmonizing and analyzing cancer data. Observations from integrating health connect in Newfoundland and Labrador, Canada.","authors":"Jeffrey J Dowden, Ryan W Pretty, Jennifer M Shea, Matthew Dermody, Gregory Doyle, Scott Antle, Dan Bond","doi":"10.1177/14604582241267792","DOIUrl":"10.1177/14604582241267792","url":null,"abstract":"<p><p><b>Objective:</b> This article aims to describe the implementation of a new health information technology system called Health Connect that is harmonizing cancer data in the Canadian province of Newfoundland and Labrador; explain high-level technical details of this technology; provide concrete examples of how this technology is helping to improve cancer care in the province, and to discuss its future expansion and implications. <b>Methods:</b> We give a technical description of the Health Connect architecture, how it integrated numerous data sources into a single, scalable health information system for cancer data and highlight its artificial intelligence and analytics capacity. <b>Results:</b> We illustrated two practical achievements of Health Connect. First, an analytical dashboard that was used to pinpoint variations in colon cancer screening uptake in small defined geographic regions of the province; and second, a natural language processing algorithm that provided AI-assisted decision support in interpreting appropriate follow-up action based on assessments of breast mammography reports. <b>Conclusion:</b> Health Connect is a cutting-edge, health systems solution for harmonizing cancer screening data for practical decision-making. The long term goal is to integrate all cancer care data holdings into Health Connect to build a comprehensive health information system for cancer care in the province.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241267792"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141762787","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":"Current status and future prospects of Chinese mobile apps for hypertension management.","authors":"Tiantian Song, Jia Tang, Ming Kuang, Hongying Liu","doi":"10.1177/14604582241275816","DOIUrl":"10.1177/14604582241275816","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate the current situation of Chinese mobile apps for hypertension management and explore patients' real requirements for app use, providing a theoretical basis for the future improvement of hypertension apps.</p><p><strong>Methods: </strong>We reviewed hypertension management apps from mobile app platforms, and summarized their functional characteristics. In addition, we conducted an online survey among 1000 hypertensive patients, collected valid responses, and analyzed the feedback data.</p><p><strong>Results: </strong>Forty hypertension management apps were analyzed, with 72.5% offering no more than six functions, indicating limited coverage of advanced and comprehensive functionalities. Among the 934 valid survey responses, patients emphasized four main functions in apps for hypertension management: long-term dynamic blood pressure monitoring, scientific lifestyle management, strict medication management and systematic health knowledge delivering.</p><p><strong>Conclusion: </strong>The existing hypertension management apps mainly serve as \"Digital Health\" tools with unclear clinical efficacy. The future development of these apps lies in how they transition to \"Digital Therapeutics\" solutions to better meet patients' needs and provide clear clinical advantages.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 3","pages":"14604582241275816"},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141914632","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":"Impact of Remote Medical Devices on Utilization of Medical Services in Pediatric Patients with Upper Respiratory Infections: A Retrospective Study","authors":"Inbal Mozes, Orna Baron-Epel, Anthony Heymann","doi":"10.1177/14604582241233996","DOIUrl":"https://doi.org/10.1177/14604582241233996","url":null,"abstract":"Background: Remote mobile examination devices in telemedicine are a new technology in healthcare. Objective: To assess the utilization of visits using remote medical devices. Methods: A retrospective analysis of follow-up visits, referrals, laboratory testing and antibiotic prescriptions of 470,845 children’s video visits with and without remote medical examination device and in-clinic visits. Results: Rates of follow-up visits, referrals and laboratory tests were higher in video visits compared to visit with medical device (OR of 1.27, 1.08, 1.93 respectfully). For in-clinic visits, rates of follow-up were lower but higher for referrals to subspecialists and laboratory test referrals when compared to telemedicine. Antibiotic prescriptions were provided at a lower rate in video visits compared to visits with a medical device (OR = 0.48) and in-clinic visits. Conclusions: Incorporating a remote medical device may reduce follow up visits, referrals and laboratory tests compared to a video visit without a device. The prevalence of antibiotic prescriptions did not escalate in telemedicine consultations.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"36 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585771","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}
Christina Khnaisser, Vincent Looten, Luc Lavoie, Anita Burgun, Jean-François Ethier
{"title":"Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures.","authors":"Christina Khnaisser, Vincent Looten, Luc Lavoie, Anita Burgun, Jean-François Ethier","doi":"10.1177/14604582241259336","DOIUrl":"10.1177/14604582241259336","url":null,"abstract":"<p><p>Keeping track of data semantics and data changes in the databases is essential to support retrospective studies and the reproducibility of longitudinal clinical analysis by preventing false conclusions from being drawn from outdated data. A knowledge model combined with a temporal model plays an essential role in organizing the data and improving query expressiveness across time and multiple institutions. This paper presents a modelling framework for temporal relational databases using an ontology to derive a shareable and interoperable data model. The framework is based on: OntoRela an ontology-driven database modelling approach and Unified Historicization Framework a temporal database modelling approach. The method was applied to hospital organizational structures to show the impact of tracking organizational changes on data quality assessment, healthcare activities and data access rights. The paper demonstrated the usefulness of an ontology to provide a formal, interoperable, and reusable definition of entities and their relationships, as well as the adequacy of the temporal database to store, trace, and query data over time.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 2","pages":"14604582241259336"},"PeriodicalIF":2.2,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141288968","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}