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Advancements in healthcare have significantly improved the prospect of patients with CHD, with over 97% now surviving adulthood. This growing population requires lifelong care and support to manage their condition. Digital health innovations, such as the “Ask Me Anything” (AMA) tool, aim to empower patients and improve collaboration with clinicians.
Methods:
In this pilot study, 70 patients were invited to participate, and 58 completed the questionnaire (response rate: 82.9%). Patients completed a digital question prompt list (QPL) prior to their consultations to select key topics from a predefined list of questions. Permission from the institution was obtained before conducting the pilot study.
Results:
Patients frequently selected questions related to prognosis, ageing, emotional well-being, lifestyle, and potential future interventions. The tool allowed for more personalised consultations and promoted active patient participation.
Conclusions:
The AMA tool demonstrates feasibility in engaging ACHD patients and supporting shared decision-making. Further research is needed to optimise system integration and evaluate long-term outcomes.
In our digital world, reusing data to inform: decisions, advance science, and improve people’s lives should be easier than ever. However, the reuse of data remains limited, complex, and challenging. Some of this complexity requires rethinking consent and public participation processes about it. First, to ensure the legitimacy of uses, including normative aspects like agency and data sovereignty. Second, to enhance data quality and mitigate risks, especially since data are proxies that can misrepresent realities or be oblivious to the original context or use purpose. Third, because data, both as a good and infrastructure, are the building blocks of both technologies and knowledge of public interest that can help societies work towards the well-being of their people and the environment. Using the case study of the European Health Data Space, we propose a multidimensional, polytopic framework with multiple intersections to democratising decision-making and improving the way in which meaningful participation and consent processes are conducted at various levels and from the point of view of institutions, regulations, and practices.
The advent of the digital age has brought about significant changes in how information is created, disseminated and consumed. Recent developments in the use of big data and artificial intelligence (AI) have brought all things digital into sharp focus. Big data and AI have played pivotal roles in shaping the digital landscape. The term ‘big data’ describes the vast amounts of structured and unstructured data generated every day. Advanced analytics on big data enable businesses and organisations to extract valuable insights, make informed decisions and enhance various processes. AI, on the other hand, has brought about a paradigm shift in how machines learn, reason and perform tasks traditionally associated with human intelligence. Machine-learning algorithms, a subset of AI, process vast datasets to identify patterns and make predictions. This has applications across diverse fields, including health care, finance, marketing and more. The combination of big data and AI has fuelled advancements in areas such as personalised recommendations, predictive analytics and automation in all aspects of our day-to-day lives.
Supporting a family member with cancer poses significant challenges for family caregivers, who have unmet supportive care needs. Psychosocial oncology professionals (PSOP) are often the primary source of support for cancer caregivers in Iran. Given the lack of supportive care resources, innovative strategies are needed to support caregivers. This study explores the views of PSOP and caregivers regarding the challenges, potential solutions, and the role of digital technologies in supporting caregivers.
Methods
Employing a qualitative descriptive design, we conducted individual interviews and focus groups with 30 participants (15 PSOPs and 15 caregivers), recruited from five settings in Tehran, Iran(2023-2024). All sessions were audio-recorded, transcribed verbatim, and analyzed using thematic analysis.
Results
PSOP identified challenges in delivering psychosocial care to caregivers , including inconsistency, uncertainty, and fragmented use of technology. Their recommendations included flexible psychosocial care via blended multi-modal digital technologies, professional development opportunities, and formal recognition and integration within the oncology setting. Caregivers experiencing frustration with the healthcare system expressed a need for family-centered care, flexible psychosocial care, and organized peer support networks.
Significance of results
Current psychosocial care in Iran is insufficient and misaligned with the preferences of PSOP and caregivers. PSOP and caregivers advocate for flexible psychosocial care through blended digital strategies. Public health strategists in Iran, as a low-resource setting with a family-centered context, should optimize resource utilization by prioritizing the training of PSOP, developing blended digital interventions, and leveraging trained peers to provide navigation and support to families, thereby easing the PSOP workload.
Physical activity (PA) promotion in primary healthcare is an effective way of addressing population-based physical inactivity. Advancements in technology could help overcome barriers to promoting PA. This scoping review aims to provide an overview of technology (digital health) for PA promotion in primary healthcare, including effectiveness and acceptability, from research published between January 2020 and December 2023.
Methods:
A scoping review was conducted across five databases (Cochrane library, Embase, MEDLINE, PubMed and WebofScience). Search terms focused on three components: PA counselling, technology and primary healthcare. Articles from 01/01/2020 to 05/12/2023 were included. Paediatric populations and populations with diseases requiring specialist care were excluded.
Results:
Of 2717 studies identified during database searches, twenty-nine were included in the review. Mobile-phone applications were the preferred method of implementation (n = 12, 52%), with most interventions aiding in assessment of PA levels (n = 16, 70%) and/or assisting in addressing it (via education, monitoring or support) (n = 22, 96%). Findings revealed mixed evidence on the effectiveness of digital health interventions in increasing PA but reported widespread acceptability of digital health interventions. Qualitative studies revealed three main themes desired by stakeholders: (1) ease of use, (2) complements pre-existing primary healthcare provision and (3) patient-centred.
Conclusion:
Future research should focus on developing standardised approaches for assessing digital health interventions, exploring the impact on prescribing behaviours and addressing the desired features highlighted by stakeholders. Integration of technology in healthcare, including PA promotion, holds promise for enhancing access and facilitating widespread implementation.
Implementing changes to digital health systems in real-life contexts poses many challenges. Design as a field has the potential to tackle some of these. This article illustrates how design knowledge, through published literature, is currently referenced in relation to the implementation of digital health. To map design literature’s contribution to this field, we conducted a scoping review on digital health implementation publications and their use of references from nine prominent design journals. The search in Scopus and Web of Science yielded 382 digital health implementation publications, of which 70 were included for analysis. From those, we extracted data on publication characteristics and how they cited the design literature. The 70 publications cited 58 design articles, whose characteristics were also extracted. The results show that design is mainly cited to provide information about specific design methods and approaches, guidelines for using them and evidence of their benefits. Examples of referenced methods and approaches were co-design, prototyping, human-centered design, service design, understanding user needs and design thinking. The results thus show that design knowledge primarily contributed to digital health implementation with insights into methods and approaches. In addition, our method showcases a new way for understanding how design literature influences other fields.
Early interventions supporting parental sensitivity have proven effective. Despite advancements in telemedicine, research on remote group parenting interventions remains limited. This study evaluated the feasibility and acceptability of “C@nnected,” a brief group videoconferencing intervention aimed at enhancing maternal sensitivity in mother–infant dyads in primary care settings in Santiago, Chile. A feasibility randomized controlled trial (RCT) was conducted using quantitative and qualitative methods. Of 44 mother–infant dyads randomized, 26 were assigned to receive the intervention, whereas 18 were allocated to the control group. Eligibility and recruitment rates were 89% and 36%, respectively, with adherence at 50% and follow-up at 64.5%. The intervention demonstrated high acceptability in both the quantitative and qualitative evaluations. Mothers who participated in the intervention showed high scores in credibility and expectancy and reported increased knowledge, stronger bonds with their children and greater satisfaction and competence in their motherhood role. This pilot study underscores the potential of “C@nnected” while identifying areas for improvement. The findings provide valuable insights into refining and further evaluating its efficacy through an RCT.
To use the validated Online Quality Assessment Tool (OQAT) to assess the quality of online nutrition information.
Setting:
The social networking platform was formerly known as Twitter (now X).
Design:
Utilising the Twitter search application programming interface (API; v1·1), all tweets that included the word ‘nutrition’, along with associated metadata, were collected on seven randomly selected days in 2021. Tweets were screened, those without a URL were removed and the remainder were grouped on retweet status. Articles (shared via URL) were assessed using the OQAT, and quality levels were assigned (low, satisfactory, high). Mean differences between retweeted and non-retweeted data were assessed by the Mann–Whitney U test. The Cochran–Mantel–Haenszel test was used to compare information quality by source.
Results:
In total, 10 573 URL were collected from 18 230 tweets. After screening for relevance, 1005 articles were assessed (9568 were out of scope) sourced from professional blogs (n 354), news outlets (n 213), companies (n 166), personal blogs (n 120), NGO (n 60), magazines (n 55), universities (n 19) and government (n 18). Rasch measures indicated the quality levels: 0–3·48, poor, 3·49–6·3, satisfactory and 6·4–10, high quality. Personal and company-authored blogs were more likely to rank as poor quality. There was a significant difference in the quality of retweeted (n 267, sum of rank, 461·6) and non-retweeted articles (n 738, sum of rank, 518·0), U = 87 475, P= 0·006 but no significant effect of information source on quality.
Conclusions:
Lower-quality nutrition articles were more likely to be retweeted. Caution is required when using or sharing articles, particularly from companies and personal blogs, which tend to be lower-quality sources of nutritional information.
The third industrial revolution saw the creation of computers and an increased use of technology in industry and households. We are now in the fourth industrial revolution: cyber, with advances in artificial intelligence, automation and the internet of things. The third and fourth revolutions have had a large impact on health care, shaping how health and social care are planned, managed and delivered, as well as supporting wellness and the promotion of health. This growth has seen the advent of the discipline of health informatics with several sub-specialty areas emerging over the past two decades. Informatics is used across primary care, allied health, community care and dentistry, with technology supporting the primary health care continuum. This chapter explores the development of health informatics as a discipline and how health care innovation, technology, governance and the workforce are supporting digital health transformation.
Chapter 9 includes a variety of methods online. These are versatile, cost effective and accessible to most of the population, but not all. Serious consideration should be given to the management of data online and protecting participant identity. Examples of successful participatory health research online are provided.
Recent developments in national health data platforms have the potential to significantly advance medical research, improve public health outcomes, and foster public trust in data governance. Across Europe, initiatives such as the NHS Research Secure Data Environment in England and the Data Room for Health-Related Research in Switzerland are underway, reflecting examples analogous to the European Health Data Space in two non-EU nations. Policy discussions in England and Switzerland emphasize building public trust to foster participation and ensure the success of these platforms. Central to building public trust is investing efforts into developing and implementing public involvement activities. In this commentary, we refer to three national research programs, namely the UK Biobank, Genomics England, and the Swiss Health Study, which implemented effective public involvement activities and achieved high participation rates. The public involvement activities used within these programs are presented following on established guiding principles for fostering public trust in health data research. Under this lens, we provide actionable policy recommendations to inform the development of trust-building public involvement activities for national health data platforms.
Digital health technologies have been enhancing the capacity of healthcare providers and, thereby, the delivery of targeted health services. The Southeast Asia Region (SEAR) has invested in strengthening digital public health. Many digital health interventions have been implemented in public health settings but are rarely assessed using the holistic health technology assessment (HTA) approach.
Methods
A systematic literature review was performed to provide an overview of evaluations of digital public health interventions in the World Health Organization (WHO) SEAR. Searches were conducted on four electronic databases. Screening title abstracts and full texts was independently conducted by two reviewers, followed by data extraction. Dimensions of HTA were analyzed against the EUnetHTA Core Model 3.0. Quality assessment of included articles was conducted using the JBI Checklist for Economic Evaluation and Consolidated Health Economic Evaluation Reporting Standards 2022 checklist to assess the reporting quality. The findings are presented using systematic evidence tables and bar charts.
Results
Of the forty-three studies screened at the full-text stage, thirteen studies conducted across six countries were included in the analysis. Telemedicine and m-health interventions were assessed in ten studies. Nine studies conducted cost-effectiveness analysis, and five assessments were conducted from a societal perspective. Four studies utilized more than one perspective for the assessment. Health problem definition and current use of technology, description and technical characteristics of the technology, clinical effectiveness, costs, economic evaluation, and organizational aspects were assessed by all the studies, whereas legal aspects were least assessed.
Conclusion
The lack of HTAs on digital public health interventions in the region highlights the need for capacity-building efforts.
This article examines the National Health Data Network (RNDS), the platform launched by the Ministry of Health in Brazil as the primary tool for its Digital Health Strategy 2020–2028, including innovation aspects. The analysis is made through two distinct frameworks: Right to health and personal data protection in Brazil. The first approach is rooted in the legal framework shaped by Brazil’s trajectory on health since 1988, marked by the formal acknowledgment of the Right to health and the establishment of the Unified Health System, Brazil’s universal access health system, encompassing public healthcare and public health actions. The second approach stems from the repercussions of the General Data Protection Law, enacted in 2018 and the inclusion of Right to personal data protection in Brazilian’s Constitution. This legislation, akin to the EU’s General Data Protection Regulations, addressed the gap in personal data protection in Brazil and established principles and rules for data processing. The article begins by explanting the two approaches, and then it provides a brief history of health informatics policies in Brazil, leading to the current Digital Health Strategy and the RNDS. Subsequently, it delves into an analysis of the RNDS through the lenses of the two aforementioned approaches. In the final discussion sections, the article attempts to extract lessons from the analyses, particularly in light of ongoing discussions such as the secondary use of data for innovation in the context of different interpretations about innovation policies.
Dialectical behavior therapy (DBT) is a specialized treatment that has a growing evidence base for binge-spectrum eating disorders. However, cost and workforce capacity limit wide-scale uptake of DBT since it involves over 20 in-person sessions with a trained professional (and six sessions for guided self-help format). Interventions translated for delivery through modern technology offer a solution to increase the accessibility of evidence-based treatments. We developed the first DBT-specific skills training smartphone application (Resilience: eDBT) for binge-spectrum eating disorders and evaluated its efficacy in a randomized clinical trial.
Method
Participants reporting recurrent binge eating were randomized to Resilience (n = 287) or a waitlist (n = 289). Primary outcomes were objective binge eating episodes and global levels of eating disorder psychopathology. Secondary outcomes were behavioral and cognitive symptoms, psychological distress, and the hypothesized processes of change (mindfulness, emotion regulation, and distress tolerance).
Results
Intention-to-treat analyses showed that the intervention group reported greater reductions in objective binge eating episodes (incidence rate ratio = 0.69) and eating disorder psychopathology (d = −0.68) than the waitlist at 6 weeks. Significant group differences favoring the intervention group were also observed on secondary outcomes, except for subjective binge eating, psychological distress, and distress tolerance. Primary symptoms showed further improvements from 6 to 12 weeks. However, dropout rate was high (48%) among the intervention group, and engagement decreased over the study period.
Conclusion
A novel, low-intensity DBT skills training app can effectively reduce symptoms of eating disorders. Scalable apps like these may increase the accessibility of evidence-based treatments.
Health technology assessments (HTAs) are policy analysis frameworks contributing to the approval, reimbursement, and rollout of biotechnology and pharmaceuticals. New innovations in health technologies expose gaps in reimbursement and implementation guidelines. We defined two types of emerging health technologies: (1) therapeutic innovations, such as drug-device combination products or nondrug alternatives to prescription drugs and (2) disruptive health innovations such as novel surgeries and gene replacement therapies. We aimed to determine delineated definitions for these categories through a comprehensive review of HTA guidelines across 20 nations. Utilizing databases such as International Network of Agencies for HTA, International Society for Pharmacoeconomics and Outcomes Research, and European Medical Agency, we identified products falling within these categories. Real-world case studies highlighted the inadequacies stemming from the absence of clear definitions and proposed solutions to enhance current HTA guidelines. These shortcomings apply at the state or provincial level in addition to national jurisdictions as existing funding structures and silos fail to accommodate the unique attributes of these technologies.
The aim of this study is to understand the path for establishing digital health technologies-health technology assessment (DHT-HTA) in India.
Methods
A rapid review of HTA and DHT frameworks on PubMed (MEDLINE) and Google Scholar was conducted to identify DHT-HTA guidelines, and HTA processes in India. MS-Excel template was created with key domains for assessing DHT in resource-constrained settings based on studies and reports identified. Responses received from seventeen experts with varying expertise in DHT, HTA, clinical, and research were contacted using an online form. Following the principles of qualitative research rooted on grounded theory approach, themes and domains were derived for a framework which was again circulated through participants. Weightage for each theme was assigned based on the frequency of responses and qualifiers were used to interpret results. Inductively derived themes from these responses were clubbed together to identify macro-level systems requirements, and finally pre-requisites for setting up DHT-HTA framework was synthesized.
Results
HT are commonly perceived by experts (64.7 percent participants) as a technology strictly connected to health information. Real-world data (i.e., electronic health data) are recognized as a relevant tool in support of decision-making for clinical and managerial levels. Experts identified some pre-requisites for the establishment of DHT-HTA in the country in terms of infrastructure, contextual factors, training, finance, data security, and scale-up.
Conclusion
Our research not only identified the pre-requisites for the adoption of a DHT-HTA framework for India, but confirmed the need to address DHT-HTA’s acceptability among. Hospitals and health insurance providers.
In recent years, the importance of telemedicine has increased significantly. Especially in the field of echocardiography, virtual reality glasses offer the possibility of real-time data transmission without restrictions in the examination process. In particular, the care of critically ill newborns with suspected CHD might be improved by allowing a specialized paediatric cardiologist to remotely guide an echocardiographic examination. The current study aims to prove whether novices, under Google Glass guidance by a paediatric cardiologist, can perform an appropriate neonatal echocardiography.
Methods:
The current study is a prospective monocentric single-blinded pilot study. Participants were supposed to perform two test runs: The first test run was “unguided” and the second test run was instructed via Google Glass. A validated training simulator for neonatal echocardiography “EchocomNeo, Echocom GmbH” was used. The study took place at the Leipzig Heart Center, Department of Pediatric Cardiology from April 2022 to November 2022.
Results:
A total of 21 medical students were enrolled. In total 252 views (126 views in each test run) were recorded. The overall performance was significantly higher in the Google Glass guided test run compared to “unguided” (structure score: 77.6% vs. 63.2%. p < 0.001 and quality score: 58.7% vs. 47.2%, p < 0.001). Also, the time was significantly lower in the Google Glass guided test run than in the unguided test run, p = 0.014.
Conclusion:
Google Glass guidance by a paediatric cardiologist could optimize the performance of novices in echocardiography using a standardized neonatal echo-simulator with structural normal cardiac anatomy.
Mental health apps (MHAs) are increasingly popular in India due to rising mental health awareness and app accessibility. Despite their benefits, like mood tracking, sleep tools and virtual therapy, MHAs lack regulatory oversight. India's framework, including the Central Drugs Standard Control Organization (CDSCO) and Medical Device Rules 2017, does not cover standalone health apps, raising concerns about data privacy and accuracy. Establishing a centralised regulatory body with guidelines for MHAs is essential for user safety and efficacy. This paper examines the current regulatory landscape, compares international approaches and proposes a tiered regulatory framework to foster responsible innovation while safeguarding user interests in digital mental health services.
Challenges in implementing digital health in clinical practice hinder its potential. The complexities posed by implementation could benefit from using design practices. To explore the current role of design practices in digital health implementation, designers in the Netherlands were interviewed. The preliminary results indicate that designers contribute to digital health implementation processes, especially in the early stages. Design practices are mainly used for engaging the users, testing concepts, aligning the ideas of stakeholders, and adapting interventions to fit within the contexts.
We created a web-based design guide to transfer our previous research findings to better support design education in the digital health design area for improving patient experience. To seek insights to iteratively improve the design guide, we conducted a workshop with 19 MSc students who specialized in design for healthcare. The guide was perceived as having the potential to improve their understanding of digital PEx improvements, but the content clarity and information presentation need to be improved.