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To use the validated Online Quality Assessment Tool (OQAT) to assess the quality of online nutrition information.
Setting:
The social networking platform 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 grouped on retweet status. Articles (shared via URL) were assessed using the OQAT, and quality levels assigned (low, satisfactory, high). Mean differences of retweeted and non-retweeted data were assessed by Mann-Whitney U test. The Cochran-Mantel-Haenszel test was used to compare information quality by source.
Results:
In total, 10,573 URLs were collected from 18,230 tweets. After screening for relevance, 1,005 articles were assessed (9,568 were out of scope) sourced from: professional-blogs (n=354), news-outlets (n=213), companies (n=166), personal-blogs (n=120), NGOs (n=60), magazines (n=55), universities (n=19), 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 quality of retweeted (n=267, sum of rank, 461.6) and non-retweeted articles (n=738, sum of rank, 518.0), U = 87475, 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 tended 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.
Diets low in vegetables are a main contributor to the health burden experienced by Australians living in rural communities. Given the ubiquity of smartphones and access to the Internet, digital interventions may offer an accessible delivery model for a dietary intervention in rural communities. However, no digital interventions to address low vegetable intake have been co-designed with adults living in rural areas(1). This research aims to describe the co-design of a digital intervention to improve vegetable intake with rural community members and research partners. Active participants in the co-design process were adults ≥18 years living in three rural Australian communities (total n = 57) and research partners (n = 4) representing three local rural governments and one peak non-government health organisation. An iterative co-design process(2) was undertaken to understand the needs (pre-design phase) and ideas (generative phase) of the target population through eight online workshops and a 21-item online community survey between July and December 2021. Prioritisation methods were used to help workshop participants identify the ‘Must-have, Should-have, Could-have, and Won’t-have or will not have right now’ (MoSCoW) features and functions of the digital intervention. Workshops were transcribed and inductively analysed using NVivo. Convergent and divergent themes were identified between the workshops and community survey to identify how to implement the digital intervention in the community. Consensus was reached on a concept for a digital intervention that addressed individual and food environment barriers to vegetable intake, specific to rural communities. Implementation recommendations centred on i) food literacy approaches to improve skills via access to vegetable-rich recipes and healthy eating resources, ii) access to personalisation options and behaviour change support, and iii) improving the community food environment by providing information on and access to local food initiatives. Rural-dwelling adults expressed preferences for personalised intervention features that can enhance food literacy and engagement with community food environments. This co-design process will inform the development of a prototype (evaluation phase) and feasibility testing (post-design phase) of this intervention. The resulting intervention is anticipated to reduce barriers and support enablers, across individual and community levels, to facilitate higher consumption of vegetables among rural Australians. These outcomes have the potential to contribute to improved wellbeing in the short term and reduced chronic disease risk in the long term, decreasing public health inequities.
During the COVID-19 pandemic, precautionary measures were implemented to reduce the spread of SARS-CoV-2, including the introduction of the Acute Hospital Care at Home waiver by the Centers for Medicare & Medicaid Services (CMS). The integration of home hospital services in the US health care delivery system has created new opportunities to address social determinants of health (SDOH) and improve the value of care, such as delivering preventative services at the optimal time, coordinating care across sites, and prioritizing patient needs and preferences. While at-home care programs are not new, emerging technologies have the potential to remove barriers to their adoption – if policymakers get the conditions right. Furthermore, while public and private payers are developing new payment models to address SDOH, little is known regarding the feasibility of their application to home hospital programs across the US. Informed by Mayo Clinic patient and staff interviews in Arizona, Florida, Minnesota, and Wisconsin, this chapter proposes evidence-based policy recommendations to facilitate high-value home hospital care, of which the equitable use of digital tools is a critical component. Regarding statutory reform, it advances a model policy that is flexible enough to incorporate high-value home hospital care not yet conceptualized. Considering reimbursement strategy, this chapter proposes guidelines for payment reform initiatives addressing SDOH to include provisions for access to digital tools that facilitate home hospital care. Lastly, this chapter outlines principles for nurturing a cybersecurity-conscious culture in home hospital programs as digital health care evolves.
The ability to clinically diagnose and treat medical conditions within the home is rapidly becoming a reality for millions of Americans. In parallel, the vast majority of older adults currently report a preference to age in place, in part because of the independence and autonomy this affords, as well as the enhanced ability to socially distance oneself during a pandemic. The interest in receiving long-term services and support in the home is exemplified by the 820,000 Medicaid-eligible Americans on waiting lists nationwide for home- and community-based services (HCBS), with an average wait time of over three years. As a result, many Americans today face the difficult decision of whether to move to a nursing home or stay in their home, facing the risk of falls, medication adherence errors, and other safety challenges. Diagnosing and monitoring health in the home has the potential to abate this distressingly difficult decision as a cost-efficient, patient-centered alternative to reduce HCBS waiting lists and expand the long-term care options for millions of non-Medicaid-eligible Americans. This chapter delineates the ethical, social, legal, and regulatory issues around implementing diagnostic and digital health in the homes of older adults, in the context of this population’s unique vulnerability to abuse, social isolation, declining cognitive health, frailty, and diagnostic error. Broad-based conceptual and practical reforms to modernize HCBS follow, addressing the adoption of self-administered diagnostic tests for highly prevalent chronic conditions, validated decision-support tools to foster consent, and real-time health data acquisition and management strategies that support government oversight and equitable access to home telehealth.
Global mental health services face challenges such as stigma and a shortage of trained professionals, particularly in low- and middle-income countries, which hinder access to high-quality care. Mobile health interventions, commonly referred to as mHealth, have shown to have the capacity to confront and solve most of the challenges within mental health services. This paper conducted a comprehensive investigation in 2024 to identify all review studies published between 2000 and 2024 that investigate the advantages of mHealth in mental health services. The databases searched included PubMed, Scopus, Cochrane and ProQuest. The quality of the final papers was assessed and a thematic analysis was performed to categorize the obtained data. 11 papers were selected as final studies. The final studies were considered to be of good quality. The risk of bias within the final studies was shown to be in a convincing level. The main advantages of mHealth interventions were categorized into four major themes: ‘accessibility, convenience and adaptability’, ‘patient-centeredness’, ‘data insights’ and ‘efficiency and effectiveness’. The findings of the study suggested that mHealth interventions can be a viable and promising option for delivering mental health services to large and diverse populations, particularly in vulnerable groups and low-resource settings.
Recent studies highlight the need for ethical and equitable digital health research that protects the rights and interests of racialized communities. We argue for practices in digital health that promote data self-determination for these communities, especially in data collection and management. We suggest that researchers partner with racialized communities to curate data that reflects their wellness understandings and health priorities, and respects their consent over data use for policy and other outcomes. These data governance approach honors and builds on Indigenous Data Sovereignty (IDS) decolonial scholarship by Indigenous and non-indigenous researchers and its adaptations to health research involving racialized communities from former European colonies in the global South. We discuss strategies to practice equity, diversity, inclusion, accessibility and decolonization (EDIAD) principles in digital health. We draw upon and adapt the concept of Precision Health Equity (PHE) to emphasize models of data sharing that are co-defined by racialized communities and researchers, and stress their shared governance and stewardship of data that is generated from digital health research. This paper contributes to an emerging research on equity issues in digital health and reducing health, institutional, and technological disparities. It also promotes the self-determination of racialized peoples through ethical data management.
School refusal is a heterogenous problem which typically emerges in adolescence and co-occurs with internalising disorders. A substantial proportion of adolescents do not respond to existing treatment modalities; thus, novel, effective intervention options are needed. Partners in Parenting Plus (PiP+) is a coach-assisted, web-based intervention designed to empower parents to respond to adolescent internalising disorders.
Aims
To conduct a process evaluation of PiP+ and identify programme adaptations required to meet the needs of parents of adolescents who refuse school.
Method
Semi-structured interviews were conducted with 14 Australian mothers who had: (a) received the PiP+ programme (not tailored for school refusal) during a prior research trial; and (b) reported that their adolescent was refusing school during their participation in PiP+. Inductive thematic analysis was used to analyse interview transcripts.
Results
Participants were 41–53 years old (M = 47.8) and parenting adolescent children aged 14–17 years (M = 14.9). Three themes illustrated how PiP+ features met or could better meet the needs of parents of adolescents who were refusing school: (a) feeling heard, supported and respected; (b) relevance to me and my context; and (c) seeing positive changes. Participants had favourable views of PiP+, especially coached components. Participants requested programme enhancements to better meet the needs of parents of neurodiverse adolescents and discussed the impact of cumulative help-seeking ‘failures’ on self-efficacy and locus of control.
Conclusions
PiP+ was highly acceptable to the majority of parents navigating the issue of school refusal. This has implications for the enhancement of coach-assisted parenting interventions and the context-specific adaptation of PiP+ for school refusal.
Computerized clinical decision support software (CDSS) are digital health technologies that have been traditionally categorized as medical devices. However, the evaluation frameworks for traditional medical devices are not well adapted to assess the value and safety of CDSS. In this study, we identified a range of challenges associated with CDSS evaluation as a medical device and investigated whether and how CDSS are evaluated in Australia.
Methods
Using a qualitative approach, we interviewed 11 professionals involved in the implementation and evaluation of digital health technologies at national and regional levels. Data were thematically analyzed using both data-driven (inductive) and theory-based (deductive) approaches.
Results
Our results suggest that current CDSS evaluations have an overly narrow perspective on the risks and benefits of CDSS due to an inability to capture the impact of the technology on the sociotechnical environment. By adopting a static view of the CDSS, these evaluation frameworks are unable to discern how rapidly evolving technologies and a dynamic clinical environment can impact CDSS performance. After software upgrades, CDSS can transition from providing information to specifying diagnoses and treatments. Therefore, it is not clear how CDSS can be monitored continuously when changes in the software can directly affect patient safety.
Conclusion
Our findings emphasize the importance of taking a living health technology assessment approach to the evaluation of digital health technologies that evolve rapidly. There is a role for observational (real-world) evidence to understand the impact of changes to the technology and the sociotechnical environment on CDSS performance.