Browsing by Subject "Digital health"
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Item A comparative study of English and Japanese ChatGPT responses to anaesthesia-related medical questions(Elsevier, 2024-06-14) Ando, Kazuo; Sato, Masaki; Wakatsuki, Shin; Nagai, Ryotaro; Chino, Kumiko; Kai, Hinata; Sasaki, Tomomi; Kato, Rie; Phuongtram Nguyen, Teresa; Guo, Nan; Sultan, Pervez; Anesthesia, School of MedicineBackground: The expansion of artificial intelligence (AI) within large language models (LLMs) has the potential to streamline healthcare delivery. Despite the increased use of LLMs, disparities in their performance particularly in different languages, remain underexplored. This study examines the quality of ChatGPT responses in English and Japanese, specifically to questions related to anaesthesiology. Methods: Anaesthesiologists proficient in both languages were recruited as experts in this study. Ten frequently asked questions in anaesthesia were selected and translated for evaluation. Three non-sequential responses from ChatGPT were assessed for content quality (accuracy, comprehensiveness, and safety) and communication quality (understanding, empathy/tone, and ethics) by expert evaluators. Results: Eight anaesthesiologists evaluated English and Japanese LLM responses. The overall quality for all questions combined was higher in English compared with Japanese responses. Content and communication quality were significantly higher in English compared with Japanese LLMs responses (both P<0.001) in all three responses. Comprehensiveness, safety, and understanding were higher scores in English LLM responses. In all three responses, more than half of the evaluators marked overall English responses as better than Japanese responses. Conclusions: English LLM responses to anaesthesia-related frequently asked questions were superior in quality to Japanese responses when assessed by bilingual anaesthesia experts in this report. This study highlights the potential for language-related disparities in healthcare information and the need to improve the quality of AI responses in underrepresented languages. Future studies are needed to explore these disparities in other commonly spoken languages and to compare the performance of different LLMs.Item A randomized controlled trial of an online health tool about Down syndrome(Elsevier, 2021) Chung, Jeanhee; Donelan, Karen; Macklin, Eric A.; Schwartz, Alison; Elsharkawi, Ibrahim; Torres, Amy; Hsieh, Yichuan Grace; Parker, Holly; Lorenz, Stephen; Patsiogiannis, Vasiliki; Santoro, Stephanie L.; Wylie, Mark; Clarke, Lloyd; Estey, Greg; Baker, Sandra; Bauer, Patricia E.; Bull, Marilyn; Chicoine, Brian; Cullen, Sarah; Frey-Vogel, Ariel; Gallagher, Maureen; Hasan, Reem; Lamb, Ashley; Majewski, Lisa; Mast, Jawanda; Riddell, Travis; Sepucha, Karen; Skavlem, Melissa; Skotko, Brian G.; Pediatrics, School of MedicinePurpose: We sought to determine if a novel online health tool, called Down Syndrome Clinic to You (DSC2U), could improve adherence to national Down syndrome (DS) guidelines. We also sought to determine if primary care providers (PCPs) and caregivers are satisfied with this personalized online health tool. Methods: In a national, randomized controlled trial of 230 caregivers who had children or dependents with DS without access to a DS specialist, 117 were randomized to receive DSC2U and 113 to receive usual care. The primary outcome was adherence to five health evaluations indicated by national guidelines for DS. DSC2U is completed electronically, in all mobile settings, by caregivers at home. The outputs-personalized checklists-are used during annual wellness visits with the patient's PCP. Results: A total of 213 participants completed a 7-month follow-up evaluation. In the intention-to-treat analysis, the intervention group had a 1.6-fold increase in the number of indicated evaluations that were recommended by the primary care provider or completed compared with controls. Both caregivers and PCPs reported high levels of satisfaction with DSC2U. Conclusions: DSC2U improved adherence to the national DS health-care guidelines with a novel modality that was highly valued by both caregivers and PCPs.Item Alexa, let's train now! - A systematic review and classification approach to digital and home-based physical training interventions aiming to support healthy cognitive aging(Elsevier, 2023) Herold, Fabian; Theobald, Paula; Gronwald, Thomas; Kaushal, Navin; Zou, Liye; de Bruin, Eling D.; Bherer, Louis; Müller, Notger G.; Health Sciences, School of Health and Human SciencesBackground There is mounting evidence that regular physical activity is an important prerequisite for healthy cognitive aging. Consequently, the finding that almost one-third of the adult population does not reach the recommended level of regular physical activity calls for further public health actions. In this context, digital and home-based physical training interventions might be a promising alternative to center-based intervention programs. Thus, this systematic review aimed to summarize the current state of the literature on the effects of digital and home-based physical training interventions on adult cognitive performance. Methods In this pre-registered systematic review (PROSPERO; ID: CRD42022320031), 5 electronic databases (PubMed, Web of Science, PsycInfo, SPORTDiscus, and Cochrane Library) were searched by 2 independent researchers (FH and PT) to identify eligible studies investigating the effects of digital and home-based physical training interventions on cognitive performance in adults. The systematic literature search yielded 8258 records (extra 17 records from other sources), of which 27 controlled trials were considered relevant. Two reviewers (FH and PT) independently extracted data and assessed the risk of bias using a modified version of the Tool for the assEssment of Study qualiTy and reporting in EXercise (TESTEX scale). Results Of the 27 reviewed studies, 15 reported positive effects on cognitive and motor-cognitive outcomes (i.e., performance improvements in measures of executive functions, working memory, and choice stepping reaction test), and a considerable heterogeneity concerning study-related, population-related, and intervention-related characteristics was noticed. A more detailed analysis suggests that, in particular, interventions using online classes and technology-based exercise devices (i.e., step-based exergames) can improve cognitive performance in healthy older adults. Approximately one-half of the reviewed studies were rated as having a high risk of bias with respect to completion adherence (≤85%) and monitoring of the level of regular physical activity in the control group. Conclusion The current state of evidence concerning the effectiveness of digital and home-based physical training interventions is mixed overall, though there is limited evidence that specific types of digital and home-based physical training interventions (e.g., online classes and step-based exergames) can be an effective strategy for improving cognitive performance in older adults. However, due to the limited number of available studies, future high-quality studies are needed to buttress this assumption empirically and to allow for more solid and nuanced conclusions.Item An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Co-design and User Testing Study(JMIR, 2022-03-16) Mueller, Emily L.; Cochrane, Anneli R.; Campbell, Madison E.; Nikkhah, Sarah; Miller, Andrew D.; Pediatrics, School of MedicineBackground: Caregivers face new challenges and tasks when their child is diagnosed with cancer, which can be overwhelming. Mobile technology has the capacity to provide immediate support at their fingertips to aid in tracking symptoms, managing medication, and planning for emergencies. Objective: The objective of this study is to engage directly with end users and proxies to co-design and create a mobile technology app to support caregivers in the medical management of their child with cancer. Methods: We engaged directly with caregivers of children with cancer and pediatric oncology nurse coordinators (proxy end users) to co-design and create the prototype of the Cope 360 mobile health app. Alpha testing was accomplished by walking the users through a series of predetermined tasks that encompassed all aspects of the app including tracking symptoms, managing medications, and planning or practicing for a medical emergency that required seeking care in the emergency department. Evaluation was accomplished through recorded semistructured interviews and quantitative surveys to capture demographic information and measure the system usability score. Interviews were transcribed and analyzed iteratively using NVivo (version 12; QSR International). Results: This study included 8 caregivers (aged 33-50 years) of children with cancer, with most children receiving chemotherapy, and 6 nurse coordinators, with 3 (50%) of them having 11 to 20 years of nursing experience. The mean system usability score given by caregivers was 89.4 (95% CI 80-98.8). Results were grouped by app function assessed with focus on specific attributes that were well received and those that required refinement. The major issues requiring refinement included clarity in the medical information and terminology, improvement in design of tasks, tracking of symptoms including adjusting the look and feel of certain buttons, and changing the visual graph used to monitor symptoms to include date anchors. Conclusions: The Cope 360 app was well received by caregivers of children with cancer but requires further refinement for clarity and visual representation. After refinement, testing among caregivers in a real-world environment is needed to finalize the Cope 360 app before its implementation in a randomized controlled trial.Item Assessing Progress Toward the Vision of a Comprehensive, Shared Electronic Care Plan: Scoping Review(JMIR, 2022-06-10) Norton, Jenna M.; Ip, Alex; Ruggiano, Nicole; Abidogun, Tolulope; Camara, Djibril Souleymane; Fu, Helen; Hose, Bat-Zion; Miran, Saadia; Hsiao, Chun-Ju; Wang, Jing; Bierman, Arlene S.; Epidemiology, School of Public HealthBackground: Care plans are central to effective care delivery for people with multiple chronic conditions. But existing care plans-which typically are difficult to share across care settings and care team members-poorly serve people with multiple chronic conditions, who often receive care from numerous clinicians in multiple care settings. Comprehensive, shared electronic care (e-care) plans are dynamic electronic tools that facilitate care coordination and address the totality of health and social needs across care contexts. They have emerged as a potential way to improve care for individuals with multiple chronic conditions. Objective: To review the landscape of e-care plans and care plan-related initiatives that could allow the creation of a comprehensive, shared e-care plan and inform a joint initiative by the National Institutes of Health and the Agency for Healthcare Research and Quality to develop e-care planning tools for people with multiple chronic conditions. Methods: We conducted a scoping review, searching literature from 2015 to June 2020 using Scopus, Clinical Key, and PubMed; we also searched the gray literature. To identify initiatives potentially missing from this search, we interviewed expert informants. Relevant data were then identified and extracted in a structured format for data synthesis and analysis using an expanded typology of care plans adapted to our study context. The extracted data included (1) the perspective of the initiatives; (2) their scope, (3) network, and (4) context; (5) their use of open syntax standards; and (6) their use of open semantic standards. Results: We identified 7 projects for e-care plans and 3 projects for health care data standards. Each project provided critical infrastructure that could be leveraged to promote the vision of a comprehensive, shared e-care plan. All the e-care plan projects supported both broad goals and specific behaviors; 1 project supported a network of professionals across clinical, community, and home-based networks; 4 projects included social determinants of health. Most projects specified an open syntax standard, but only 3 specified open semantic standards. Conclusions: A comprehensive, shared, interoperable e-care plan has the potential to greatly improve the coordination of care for individuals with multiple chronic conditions across multiple care settings. The need for such a plan is heightened in the wake of the ongoing COVID-19 pandemic. While none of the existing care plan projects meet all the criteria for an optimal e-care plan, they all provide critical infrastructure that can be leveraged as we advance toward the vision of a comprehensive, shared e-care plan. However, critical gaps must be addressed in order to achieve this vision.Item Building the case for actionable ethics in digital health research supported by artificial intelligence(Springer Nature, 2019-07-17) Nebeker, Camille; Torous, John; Bartlett Ellis, Rebecca J.; School of NursingThe digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer exciting opportunities for researchers to passively observe and/or track patients ‘in the wild’ and 24/7. The volume of granular personal health data gathered using these technologies is unprecedented, and is increasingly leveraged to inform personalized health promotion and disease treatment interventions. The use of artificial intelligence in the health sector is also increasing. Although rich with potential, the digital health ecosystem presents new ethical challenges for those making decisions about the selection, testing, implementation and evaluation of technologies for use in healthcare. As the ‘Wild West’ of digital health research unfolds, it is important to recognize who is involved, and identify how each party can and should take responsibility to advance the ethical practices of this work. While not a comprehensive review, we describe the landscape, identify gaps to be addressed, and offer recommendations as to how stakeholders can and should take responsibility to advance socially responsible digital health research.Item ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice(Elsevier, 2024-04-07) Aljamaan, Fadi; Malki, Khalid H.; Alhasan, Khalid; Jamal, Amr; Altamimi, Ibraheem; Khayat, Afnan; Alhaboob, Ali; Abdulmajeed, Naif; Alshahrani, Fatimah S.; Saad, Khaled; Al-Eyadhy, Ayman; Al-Tawfiq, Jaffar A.; Temsah, Mohamad-Hani; Medicine, School of MedicineArtificial intelligence (AI) chatbots, such as ChatGPT, have widely invaded all domains of human life. They have the potential to transform healthcare future. However, their effective implementation hinges on healthcare workers' (HCWs) adoption and perceptions. This study aimed to evaluate HCWs usability of ChatGPT three months post-launch in Saudi Arabia using the System Usability Scale (SUS). A total of 194 HCWs participated in the survey. Forty-seven percent were satisfied with their usage, 57 % expressed moderate to high trust in its ability to generate medical decisions. 58 % expected ChatGPT would improve patients' outcomes, even though 84 % were optimistic of its potential to improve the future of healthcare practice. They expressed possible concerns like recommending harmful medical decisions and medicolegal implications. The overall mean SUS score was 64.52, equivalent to 50 % percentile rank, indicating high marginal acceptability of the system. The strongest positive predictors of high SUS scores were participants' belief in AI chatbot's benefits in medical research, self-rated familiarity with ChatGPT and self-rated computer skills proficiency. Participants' learnability and ease of use score correlated positively but weakly. On the other hand, medical students and interns had significantly high learnability scores compared to others, while ease of use scores correlated very strongly with participants' perception of positive impact of ChatGPT on the future of healthcare practice. Our findings highlight the HCWs' perceived marginal acceptance of ChatGPT at the current stage and their optimism of its potential in supporting them in future practice, especially in the research domain, in addition to humble ambition of its potential to improve patients' outcomes particularly in regard of medical decisions. On the other end, it underscores the need for ongoing efforts to build trust and address ethical and legal concerns of AI implications in healthcare. The study contributes to the growing body of literature on AI chatbots in healthcare, especially addressing its future improvement strategies and provides insights for policymakers and healthcare providers about the potential benefits and challenges of implementing them in their practice.Item Comparing the Digital Footprint of Pulmonary and Critical Care Conferences on Twitter(American Thoracic Society, 2021-09-13) Carroll, Christopher L.; Kaul, Viren; Dangayach, Neha S.; Szakmany, Tamas; Winter, Gretchen; Khateeb, Dina; Carlos, W. Graham; Kudchadkar, Sapna R.; Medicine, School of MedicineBackground: Pulmonary and critical care societies, including the American Thoracic Society, the American College of Chest Physicians, and the Society of Critical Care Medicine have large memberships that gather at academic conference events, attracting thousands of attendees. Objective: With the growth of social media use among pulmonary and critical care clinicians, our goal was to examine the Twitter presence and digital footprint of these three major medical society conferences. Methods: We used Symplur Signals (Symplur, LLC) to track the tweets and most active participants of the 2017-2019 annual conferences of American Thoracic Society, American College of Chest Physicians, and the Society of Critical Care Medicine. Attendance records of participants were obtained from each society. Results: During the study period, there was growth in the number of tweets, participants, and impressions for all three society conferences. Across all conferences, the amount of original content generated was less than the retweets, which comprised 50-72% of all tweets. Individuals physically attending each conference were more likely to post original content than those not in attendance (53-68% vs. 32-47%). For each society and at each meeting, clinicians made up the largest group of participants (44-60%), and most (59-82%) were physicians. A small cohort of participants was responsible for a large share of the tweets, with more than half of the participants at each conference for each society tweeting only once and only between 5-8% of participants tweeting more than 10 times. Seventy-eight individuals tweeted more than 100 times at one or more of the conferences. There was significant overlap in this group, with 32 of these individual participants tweeting more than 100 times at two or more of these conferences. Conclusion: Growth in conference digital footprints is largely due to increased activity by a small group of prolific participants that attend conferences by multiple academic societies. Original content makes up the smallest proportion of posts, suggesting that amplification of content is more prevalent than posting of original content. In a postpandemic environment, engagement of users producing original content may be even more important for medical societies.Item Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation(JMIR, 2022-06-09) Kantor, Daniel; Farlow, Martin; Ludolph, Albert; Montaner, Joan; Sankar, Raman; Sawyer, Robert N., Jr.; Stocchi, Fabrizio; Lara, Agnès; Clark, Sarah; Deschet, Karine; Ouyahia, Loucif; Hadjiat, Yacine; Neurology, School of MedicineBackground: Digital communication has emerged as a major source of scientific and medical information for health care professionals. There is a need to set up an effective and reliable methodology to assess and monitor the quality of content that is published on the internet. Objective: The aim of this project was to develop content quality guidelines for Neurodiem, an independent scientific information platform dedicated to neurology for health care professionals and neuroscientists. These content quality guidelines are intended to be used by (1) content providers as a framework to meet content quality standards and (2) reviewers as a tool for analyzing and scoring quality of content. Methods: Specific scientific criteria were designed using a 5-point scale to measure the quality of curated and original content published on the website: for Summaries, (1) source reliability and topic relevance for neurologists, (2) structure, and (3) scientific and didactic value; for Congress highlights, (1) relevance of congress selection, (2) congress coverage based on the original program, and (3) scientific and didactic value of individual abstracts; for Expert points of view and talks, (1) credibility (authorship) and topic relevance for neurologists, (2) scientific and didactic value, and (3) reliability (references) and format. The criteria were utilized on a monthly basis and endorsed by an independent scientific committee of widely recognized medical experts in neurology. Results: Summary content quality for the 3 domains (reliability and relevance, structure, and scientific and didactic value) increased in the second month after the implementation of the guidelines. The domain scientific and didactic value had a mean score of 8.20/10. Scores for the domains reliability and relevance (8-9/10) and structure (45-55/60) showed that the maintenance of these 2 quality items over time was more challenging. Talks (either in the format of interviews or slide deck-supported scientific presentations) and expert point of view demonstrated high quality after the implementation of the content quality guidelines that was maintained over time (15-25/25). Conclusions: Our findings support that content quality guidelines provide both (1) a reliable framework for generating independent high-quality content that addresses the educational needs of neurologists and (2) are an objective evaluation tool for improving and maintaining scientific quality level. The use of these criteria and this scoring system could serve as a standard and reference to build an editorial strategy and review process for any medical news or platforms.Item The Efficacy of a Brief, Altruism-Eliciting Video Intervention in Enhancing COVID-19 Vaccination Intentions Among a Population-Based Sample of Younger Adults: Randomized Controlled Trial(JMIR, 2022-05-30) Zhu, Patricia; Tatar, Ovidiu; Griffin-Mathieu, Gabrielle; Perez, Samara; Haward, Ben; Zimet, Gregory; Tunis, Matthew; Dubé, Ève; Rosberger, Zeev; Pediatrics, School of MedicineBackground: High COVID-19 vaccine uptake is crucial to containing the pandemic and reducing hospitalizations and deaths. Younger adults (aged 20-39 years) have demonstrated lower levels of vaccine uptake compared to older adults, while being more likely to transmit the virus due to a higher number of social contacts. Consequently, this age group has been identified by public health authorities as a key target for vaccine uptake. Previous research has demonstrated that altruistic messaging and motivation is associated with vaccine acceptance. Objective: This study had 2 objectives: (1) to evaluate the within-group efficacy of an altruism-eliciting short, animated video intervention in increasing COVID-19 vaccination intentions amongst unvaccinated Canadian younger adults and (2) to examine the video's efficacy compared to a text-based intervention focused exclusively on non-vaccine-related COVID-19 preventive health measures. Methods: Using a web-based survey in a pre-post randomized control trial (RCT) design, we recruited Canadians aged 20-39 years who were not yet vaccinated against COVID-19 and randomized them in a 1:1 ratio to receive either the video intervention or an active text control. The video intervention was developed by our team in collaboration with a digital media company. The measurement of COVID-19 vaccination intentions before and after completing their assigned intervention was informed by the multistage Precaution Adoption Process Model (PAPM). The McNemar chi-square test was performed to evaluate within-group changes of vaccine intentions. Exact tests of symmetry using pairwise McNemar tests were applied to evaluate changes in multistaged intentions. Between-group vaccine intentions were assessed using the Pearson chi-square test postintervention. Results: Analyses were performed on 1373 participants (n=686, 50%, in the video arm, n=687, 50%, in the text arm). Within-group results for the video intervention arm showed that there was a significant change in the intention to receive the vaccine (χ21=20.55, P<.001). The between-group difference in postintervention intentions (χ23=1.70, P=.64) was not significant. When administered the video intervention, we found that participants who had not thought about or were undecided about receiving a COVID-19 vaccine were more amenable to change than participants who had already decided not to vaccinate. Conclusions: Although the video intervention was limited in its effect on those who had firmly decided not to vaccinate, our study demonstrates that prosocial and altruistic messages could increase COVID-19 vaccine uptake, especially when targeted to younger adults who are undecided or unengaged regarding vaccination. This might indicate that altruistic messaging provides a "push" for those who are tentative toward, or removed from, the decision to receive the vaccine. The results of our study could also be applied to more current COVID-19 vaccination recommendations (eg, booster shots) and for other vaccine-preventable diseases.