Building the case for actionable ethics in digital health research supported by artificial intelligence

The 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

Toward impactful collaborations on computing and mental health

We describe an initiative to bring mental health researchers, computer scientists, human-computer interaction researchers, and other communities together to address the challenges of the global mental ill health epidemic. Two face-to-face events and one special issue of the Journal of Medical Internet Research were organized. The works presented in these events and publication reflect key state-of-the-art research in this interdisciplinary collaboration. We summarize the special issue articles and contextualize them to present a picture of the most recent research. In addition, we describe a series of collaborative activities held during the second symposium and where the community identified 5 challenges and their possible solutions

Scintillation Reduction for Laser Beams Propagating Through Turbulent Atmosphere

We numerically examine the spatial evolution of the structure of coherent and partially coherent laser beams, including the optical vortices, propagating in turbulent atmospheres. The influence of beam fragmentation and wandering relative to the axis of propagation (z-axis) on the value of the scintillation index (SI) of the signal at the detector is analyzed. These studies were performed for different dimensions of the detector, distances of propagation, and strengths of the atmospheric turbulence. Methods for significantly reducing the scintillation index are described. These methods utilize averaging of the signal at the detector over a set of partially coherent beams (PCBs). It is demonstrated that the most effective approach is using a set of PCBs with definite initial directions of propagation relative to the z-axis. This approach results in a significant compensation of the beam wandering which in many cases is the main contributor to the SI. A novel method is to generate the PCBs by combining two laser beams - Gaussian and vortex beams, with different frequencies (the difference between these two frequencies being significantly smaller than the frequencies themselves). In this case, the effective suppression of the SI does not require high-frequency modulators. This result is important for achieving gigabit data-rates in long-distance laser communication through turbulent atmospheres.Comment: 35 pages, 29 figure

Digital mental health: challenges and next steps

Digital innovations in mental health offer great potential, but present unique challenges. Using a consensus development panel approach, an expert, international, cross-disciplinary panel met to provide a framework to conceptualise digital mental health innovations, research into mechanisms and effectiveness and approaches for clinical implementation. Key questions and outputs from the group were agreed by consensus, and are presented and discussed in the text and supported by case examples in an accompanying appendix. A number of key themes emerged. (1) Digital approaches may work best across traditional diagnostic systems: we do not have effective ontologies of mental illness and transdiagnostic/symptom-based approaches may be more fruitful. (2) Approaches in clinical implementation of digital tools/interventions need to be creative and require organisational change: not only do clinicians and patients need training and education to be more confident and skilled in using digital technologies to support shared care decision-making, but traditional roles need to be extended, with clinicians working alongside digital navigators and non-clinicians who are delivering protocolised treatments. (3) Designing appropriate studies to measure the effectiveness of implementation is also key: including digital data raises unique ethical issues, and measurement of potential harms is only just beginning. (4) Accessibility and codesign are needed to ensure innovations are long lasting. (5) Standardised guidelines for reporting would ensure effective synthesis of the evidence to inform clinical implementation. COVID-19 and the transition to virtual consultations have shown us the potential for digital innovations to improve access and quality of care in mental health: now is the ideal time to act

Digital mental health in schizophrenia and other severe mental illness: an international consensus on current challenges and potential solutions

Background: Digital approaches may be helpful in augmenting care to address unmet mental health needs, particularly in schizophrenia and severe mental illness (SMI). Objectives: An international multidisciplinary group was convened to reach consensus on the challenges and potential solutions in collecting data, delivering treatment and the ethical challenges in digital mental health approaches in schizophrenia and SMI. Methods: The consensus development panel method was used, with an in-person meeting of two groups: the expert group and the panel. Membership was multidisciplinary, including those with lived experience with equal participation at all stages, and co-production of the consensus outputs and summary. Relevant literature was shared in advance of the meeting and a systematic search of the recent literature on digital mental health interventions in schizophrenia and psychosis was completed to ensure the panel was informed before the meeting with the expert group. Results: Four broad areas of challenge and proposed solutions were identified: (i) user involvement for real coproduction, (ii) new approaches to methodology in digital mental health, including agreed standards, data sharing, measuring harms, prevention strategies and mechanistic research (iii) regulation and funding issues (iv) implementation in real-world settings (including multidisciplinary collaboration, training, augmenting existing service provision, social and population-focussed approaches). Examples are provided with more detail on human-centred research design, lived experience perspectives and biomedical ethics in digital mental health approaches in SMI. Conclusions: The consensus agreed on a number of recommendations: (i) a new and improved approach to digital mental health research (with agreed reporting standards, data sharing, and shared protocols) (ii) equal emphasis on social and population research as well as biological and psychological approaches (iii) meaningful collaborations across varied disciplines that have previously not worked closely together (iv) increased focus on the business model and product with planning and new funding structures across the whole development pathway (v) increased focus and reporting on ethical issues and potential harms (vi) organisational changes to allow true communication and coproduction with those with lived experience of SMI. This approach, combining an international expert meeting with PPIE (patient and public involvement and engagement) throughout the process, consensus methodology, discussion, and publication, is a helpful way to identify directions for future research and clinical implementation in rapidly evolving areas, and can be combined with measurements of real-world clinical impact over time. Similar initiatives will be helpful in other areas of digital mental health and similarly fast-evolving fields, to focus research and organisational change and effect improved real-world clinical implementation

Using physical health apps to promote healthy lifestyles in youth mental healthcare: A nationwide perspective-gathering exercise of over 400 service users

Digital technologies have presented a myriad of new solutions for improving cardiometabolic and behavioural health in the general population. However, the ways in which such advances could be applied to address the heightened health-risk behaviours and associated diseases in mental healthcare is unknown. To examine this, 492 young people with mental illness (YPMI) were recruited from 27 Primary Care and NHS mental healthcare sites across the UK, covering various diagnoses (excluding eating disorders). Participants were presented with four types of physical health apps, delivering: 1) Health Tracking; 2) Health Coaching; 3) Health Connections; and 4) Instructional Videos, and completed an online perspective-gathering exercise on the preferred utility, features, behavioural targets of these technologies, and barriers/facilitators to uptake. Results showed a high level of perceived utility across each of the four app types, with physical activity, sleep and diet emerging as preferred behavioural targets. Feedback on ideal app features indicated a need for integrated physical-mental health tracking, and expert-led instructional content/coaching, with less interest expressed towards sharing data with clinical teams. These findings can improve the development, future trials, and clinical implementation of digital lifestyle interventions in mental healthcare, through better accounting for the needs and preferences of YPMI

Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics

Background: Despite growing interest in mobile mental health and utilization of smartphone technology to monitor psychiatric symptoms, there remains a lack of knowledge both regarding patient ownership of smartphones and their interest in using such to monitor their mental health. Objective: To provide data on psychiatric outpatients’ prevalence of smartphone ownership and interest in using their smartphones to run applications to monitor their mental health. Methods: We surveyed 320 psychiatric outpatients from four clinics around the United States in order to capture a geographically and socioeconomically diverse patient population. These comprised a state clinic in Massachusetts (n=108), a county clinic in California (n=56), a hybrid public and private clinic in Louisiana (n=50), and a private/university clinic in Wisconsin (n=106). Results: Smartphone ownership and interest in utilizing such to monitor mental health varied by both clinic type and age with overall ownership of 62.5% (200/320), which is slightly higher than the average United States’ rate of ownership of 58% in January 2014. Overall patient interest in utilizing smartphones to monitor symptoms was 70.6% (226/320). Conclusions: These results suggest that psychiatric outpatients are interested in using their smartphones to monitor their mental health and own the smartphones capable of running mental healthcare related mobile applications

Internet-based audiological interventions: An update for clinicians

Purpose: Advancements in digital and computing technologies have created opportunities for innovations in the provision of healthcare remotely. The aim of this paper is to provide audiological professionals with a summary of literature regarding existing audiological Internet-based interventions (IBI’s). The specific objectives are to (1) provide an overview of the range of audiological IBI’s for adults with hearing loss, balance disorders, and tinnitus; (2) identify the features included in these IBI’s and possible benefits; and (3) identify difficulties and challenges regarding the implementation and use of audiological IBI’s. Method: Relevant articles were identified through literature review conducted in the PubMed database and grey literature. The relevant information from these sources, such as the type of intervention and main outcomes, were summarized. Results: A range of IBI’s were identified, with the majority addressing tinnitus distress. Those for hearing loss have been applied at different stages of the patient journey. Unguided IBI’s for vestibular difficulties included self-help for Ménières Disease and vestibular rehabilitation. Most tinnitus IBI’s provided cognitive behavioural therapy. Overall IBI’s showed benefits in terms of outcome and accessibility. Barriers include uncertainties surrounding the cost effectiveness, optimal level of support and improving intervention compliance. Conclusions: Telehealth applications are expanding in audiology and IBI’s have been developed to provide auditory rehabilitation, vestibular rehabilitation, and tinnitus interventions. IBI’s have the potential to offer accessible and affordable services. Further work is required to further develop these interventions and optimize outcomes

Intrinsic molecular subtypes of breast cancers categorized as HER2-positive using an alternative chromosome 17 probe assay

Abstract The 2013 update of the American Society of Clinical Oncology-College of American Pathologists (ASCO-CAP) human epidermal growth factor receptor 2 (HER2) testing guidelines recommend using an alternative chromosome 17 probe assay to resolve HER2 results determined to be equivocal by immunohistochemistry (IHC) or fluorescence in-situ hybridization (FISH). However, it is unclear if cases considered HER2-positive (HER2+) by the alternative probe method are similar to those classified as HER2+ by traditional IHC and FISH criteria and benefit the same from HER2-targeted therapies. We studied the clinical and pathologic features of all 31 breast cancers classified as HER2+ by the alternative probe method at our institution since 2013 and determined their PAM50 intrinsic molecular subtypes. For comparison, we analyzed 19 consecutive cases that were classified as HER2+ by traditional FISH criteria during the same time period. Thirty (97%) cancers in the alternative probe cohort were estrogen receptor (ER)-positive (ER+), while only 9/19 (47%) of traditional HER2 controls were ER+ (p = 0.0002). Sufficient tissue for intrinsic subtype analysis was available for 20/31 cancers in the alternative probe cohort and 9/19 in the traditional HER2+ group. None (0%) of the 20 alternative probe-positive cases were of the HER2-enriched intrinsic subtype, while 8/9 (89%) of those HER2+ by traditional FISH criteria were HER2-enriched (p = 0.0001). These findings suggest that breast cancers classified as HER2+ only by the alternative probe method are biologically distinct from those classified as HER2+ by traditional criteria, and raises questions as to whether or not they derive the same benefit from HER2-targeted therapies