Evaluation of the risk of hypothyroidism and its clinical manifestations using the Zulewski scale.

Background: Globally, clinical hypothyroidism affects an estimated 0.5 to 5% of the population, while subclinical hypothyroidism affects 5-20%. Limited data is available on the prevalence of thyroid disease within the Mexican population. The objective of this study was to describe the characteristics of people screened for hypothyroidism in Mexico during 2022 using the Zulewski scale. Methods: A cross-sectional analysis was conducted using data obtained from a digital survey administered by an e-Health platform. This study included participants of all genders, aged 18 years and older (n = 31,449). Descriptive statistics (frequencies and percentages) were sued to describe the data. Differences between groups were assessed through the chi-square or Fischer's exact test. Information gathered was subjected to hierarchical segmentation analysis to explore trends and patterns. Statistical significance was set as <0.05. Results: Among the participants, 87.7% were women, and 80% fell within the age group 18 and 44 years. According to the Zulewski scale, 27% of the participants had a low risk of hypothyroidism, 37.4% were classified as having an intermediate risk, and 35.6% were at a high risk. In people at high risk of hypothyroidism, the most common symptom was constipation (29.2%) whereas the most common sign was decreased speed of movement (26.2%). Inquiry of slow movements, dry skin, and facial edema allowed the identification of 90.2% of participants at high risk of hypothyroidism. Conclusions: In Mexico, a significant portion of the population is at an intermediate or high risk of hypothyroidism, requiring confirmatory diagnostic tests.

Effectiveness of a guided digital self-help intervention to improve sleep and the biological clock in university students - Study protocol for a randomized controlled trial.

Background: Sleep problems occur in many university students which affects their mental health and daily functioning. Cognitive behavioural therapy for insomnia (CBT-I) has been proven effective in adults but research in university students, who struggle to maintain a 24-hour rhythm, is still limited. We hypothesize that a guided digital CBT-I intervention, enriched with components on the biological clock ('i-Sleep & BioClock') will be effective in reducing insomnia severity and improving mental health outcomes for students with sleep problems. Objectives: We aim to evaluate the effectiveness of a guided online sleep and biological clock self-help intervention in improving sleep, depression symptoms, anxiety symptoms, functioning, academic performance, and quality of life in university students at 6 weeks and 18 weeks. Methods: This is a two-arm parallel-group superiority randomized controlled trial, comparing a 5-week guided online 'i-Sleep & BioClock' intervention to online psychoeducation (PE). We aim to include 192 university students (Bachelor, Master, and PhD) with at least subthreshold insomnia (Insomnia Severity Index ≥10), aged ≥16, who can speak Dutch or English. We are excluding students with current risk for suicide or night shifts. The primary outcome is insomnia severity. Secondary outcomes include sleep estimates (sleep and light exposure diary), depression, anxiety, functioning, quality of life, and academic performance. The effectiveness of the intervention compared to online PE will be evaluated using linear mixed models. Discussion: The current study tests the effectiveness of an online self-help intervention for university students who suffer from sleep problems. This trial builds upon an open feasibility study and will provide evidence of an online guided self-help program for students. The findings of this study will determine the potential wider dissemination of the intervention to address the high need for available and accessible help for students experiencing insomnia. Trial registration: ClinicalTrials.Gov (NCT06023693), registered on August 3rd, 2023.

Self-perceived functioning, goals and action plans: an evaluation of an ICF-based E-health application in an intervention for people with a combination of mental and physical health conditions.

PURPOSE: In the BigMove intervention, people with physical and mental health conditions assess their functioning, set goals, and define action plans to achieve their goals recorded in an e-health application using all categories of the International Classification of Functioning, Disability, and Health (ICF). This study investigates whether data from this application can provide insight into participants' self-perceived functioning, goals and action plans and observe changes over time. METHODS: Data from 446 participants were analysed with descriptive statistics to describe self-perceived functioning and the ICF categories related to the 15 most frequently chosen goals. Action plans were analysed using inductive analysis. Changes over time were investigated by comparing assessments before and after at least 4 months in the intervention. RESULTS: The data provided insight into the self-perceived functioning, goals and action plans. Also, changes over time were observed. Self-perceived functioning changed from being mainly negative before, to mainly positive after the intervention. While goals were mostly related to the same ICF categories, the action plans changed from more specific short-term to more general long-term plans. CONCLUSIONS: Our study demonstrates that all categories of the ICF can be used to record self-perceived functioning, goals and action plans and monitor changes over time.

The complete International Classification of Functioning, Disability, and Health (ICF) can provide a useful tool to record self-perceived functioning, goals, and action plans.Setting goals by using all ICF categories shows what is relevant to people themselves and can stimulate activities that foster functioning according to what people value.Assessments of self-perceived functioning, related goals, and action plans offer a novel approach to assessing health and comparing healthcare outcomes.

Chronic health conditions and disability are prevalent among community users of a digital mental health service: a scoping survey.

Objectives: Digital interventions can offer accessible and scalable treatment for chronic conditions, though often focus separately on physical or mental health. People accessing digital health services may live with multiple conditions or experience overlapping symptoms. This study aimed to describe the breadth and characteristics of chronic health conditions and self-reported disability among routine users of a digital mental health service, and to examine related motivations to engage with digital mental health interventions.Methods: A cross-sectional survey of adults registered with a digital mental health service in the Australian community (THIS WAY UP) was conducted. Participant demography, chronic health conditions, self-reported disability and motivations for accessing digital treatment were collected and analyzed descriptively.Results: 366 participants responded (77% female, mean age 50 ± 15 years). 71.6% of participants (242/338) reported ≥1 chronic health condition and one-third reported multimorbidity (112/338, 33.1%). Chronic pain, musculoskeletal and connective tissue disorders were most common. 26.9% of respondents (90/334) reported a disability, most commonly physical disabilities. 95% of those with chronic conditions reported negative mental health effects and 46% reported heightened interest in digital mental health treatments because of their condition. Primary motivations for digital service use were receiving a recommendation from a health professional and service accessibility.Discussion: People who access digital mental health services in routine care report high rates of heterogenous chronic illness and related disability. There is interest in accessible digital treatments to support mental health at scale among people who live with varied chronic conditions and disabilities.

Heterogenous chronic health conditions and disability are prevalent among people who engage with digital mental health interventions in the community.Approximately three-quarters of people (72%) who access digital mental health interventions have at least one chronic condition, and approx. one quarter (27%) have a disability.The accessibility of digital mental health treatments appealed to people with chronic conditions and/or disabilities.Digital mental health services may have a role to play in supporting mental health and wellbeing at scale among people with varied, disabling chronic conditions.

Online Disease Management Training for Older Adults With Osteoarthritis: A Randomized Controlled Trial.

INTRODUCTION: Using online methods in health education is an effective method that provides individual services to older adults with limited access to health services and allows for low-cost and continuous communication. METHODS: The study was completed with 52 older adults diagnosed with osteoarthritis, including 26 intervention and 26 control participants. For data collection, a Patient Information Form, Visual Analogue Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, Self-Efficacy Scale in Arthritis, World Health Organization Quality of Life Instrument-Older Adults Module and a Telephone Counselling Follow-up Form were used. Individuals in the intervention group were provided with online training for the first 4 weeks and telephone counselling for the following 4 weeks. Scales were applied to both groups. RESULTS: The scales were applied to both groups at the first, second and last measurements. It was determined that there was a significant difference between the total pain and functional status scores of the individuals in the intervention and control groups at the second and last measurement (p < 0.05), while the average scores of the intervention group were lower control group. The total self-efficacy score and quality of life total score of the intervention group were statistically significantly higher than the total score of the control group (p < 0.05). CONCLUSIONS: As a result of the research, it was found that online education and telephone counselling given to elderly individuals with osteoarthritis were effective in reducing pain severity and improving functional status, self-efficacy and quality of life. TRIAL REGISTRATION: The trial was registered at ClinicalTrial.gov (NCT04816474/2021-08-10/https://register. CLINICALTRIALS: gov/).

Will Precision Medicine Meet Digital Health? A Systematic Review of Pharmacogenomics Clinical Decision Support Systems Used in Clinical Practice.

Digital health, an emerging scientific domain, attracts increasing attention as artificial intelligence and relevant software proliferate. Pharmacogenomics (PGx) is a core component of precision/personalized medicine driven by the overarching motto "the right drug, for the right patient, at the right dose, and the right time." PGx takes into consideration patients' genomic variations influencing drug efficacy and side effects. Despite its potentials for individually tailored therapeutics and improved clinical outcomes, adoption of PGx in clinical practice remains slow. We suggest that e-health tools such as clinical decision support systems (CDSSs) can help accelerate the PGx, precision/personalized medicine, and digital health emergence in everyday clinical practice worldwide. Herein, we present a systematic review that examines and maps the PGx-CDSSs used in clinical practice, including their salient features in both technical and clinical dimensions. Using Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines and research of the literature, 29 relevant journal articles were included in total, and 19 PGx-CDSSs were identified. In addition, we observed 10 technical components developed mostly as part of research initiatives, 7 of which could potentially facilitate future PGx-CDSSs implementation worldwide. Most of these initiatives are deployed in the United States, indicating a noticeable lack of, and the veritable need for, similar efforts globally, including Europe.

Digital health literacy and associated factors among health professionals during the outbreak of corona virus pandemic in Ethiopia: A systematic review and meta-analysis.

Introduction: The COVID-19 pandemic had a significant impact on healthcare delivery worldwide. Digital tools emerged as a preferred solution for maintaining healthcare services during this crisis. This study aimed to assess the magnitude of digital health literacy among healthcare professionals in Ethiopia in 2020-2023. Methods: A systematic review and meta-analysis were conducted following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Articles published from 2020 to 2023 were reviewed using various electronic databases such as Medline, PubMed, and Cochrane Library, CINAHL, HINARI, Science Direct, Google Scholar, and Global Health. Meta-analysis was performed using STATA 17, and publication bias and heterogeneity were assessed. Results: Six studies involving a total of 2739 participants were included in the analysis. The pooled level of high digital health literacy among health professionals in Ethiopia during the pandemic was found to be 56.0% (95% CI: 55, 58). Several factors were identified as significant contributors to high digital health literacy, including internet use (AOR = 2.72, 95% CI: 1.86, 3.98), perceived ease of use (AOR = 2.79, 95% CI: 1.83, 4.25), favorable attitude (AOR = 2.49, 95% CI: 1.61, 3.85), perceived usefulness (AOR = 2.29, 95% CI: 1.65, 3.18), information-communication-technology training (AOR = 6.09, 95% CI: 1.83, 24.27), and educational level (AOR = 3.60, 95% CI: 2.96, 4.37). Conclusion and recommendation: The study findings revealed a moderate level of high digital health literacy among Ethiopian health professionals. Factors such as internet use, favorable attitude, and information-communication-technology training were associated with high-level digital health literacy. To enhance digital health literacy, it is crucial to provide timely training and improve internet access for healthcare professionals. Additionally, promoting the perception of digital tools as useful and supporting evidence-based decision-making can further improve digital health literacy. Comprehensive information-communication-technology training programs should be implemented to equip healthcare professionals with necessary skills to effectively combat outbreaks like the COVID-19 pandemic.

An Approach to the Design and Development of an Accredited Continuing Professional Development e-Learning Module on Virtual Care.

Unlabelled: Virtual care appointments expanded rapidly during COVID-19 out of necessity and to enable access and continuity of care for many patients. While previous work has explored health care providers' experiences with telehealth usage on small-scale projects, the broad-level adoption of virtual care during the pandemic has expounded opportunities for a better understanding of how to enhance the integration of telehealth as a regular mode of health care services delivery. Training and education for health care providers on the effective use of virtual care technologies are factors that can help facilitate improved adoption and use. We describe our approach to designing and developing an accredited continuing professional development (CPD) program using e-learning technologies to foster better knowledge and comfort among health care providers with the use of virtual care technologies. First, we discuss our approach to undertaking a systematic needs assessment study using a survey questionnaire of providers, key informant interviews, and a patient focus group. Next, we describe our steps in consulting with key stakeholder groups in the health system and arranging committees to inform the design of the program and address accreditation requirements. The instructional design features and aspects of the e-learning module are then described in depth, and our plan for evaluating the program is shared as well. As a CPD modality, e-learning offers the opportunity to enhance access to timely continuing professional education for health care providers who may be geographically dispersed across rural and remote communities.

Common and differential variables of anxiety and depression in adolescence: a nation-wide smartphone-based survey.

BACKGROUND: Mental health in adolescence is critical in its own right and a predictor of later symptoms of anxiety and depression. To address these mental health challenges, it is crucial to understand the variables linked to anxiety and depression in adolescence. METHODS: Here, we analyzed data of 278 adolescents that were collected in a nation-wide survey provided via a smartphone-based application during the COVID-19 pandemic. We used an elastic net regression machine-learning approach to classify individuals with clinically relevant self-reported symptoms of depression or anxiety. We then identified the most important variables with a combination of permutation feature importance calculation and sequential logistic regressions. RESULTS: 40.30% of participants reported clinically relevant anxiety symptoms, and 37.69% reported depressive symptoms. Both machine-learning models performed well in classifying participants with depressive (AUROC = 0.77) or anxiety (AUROC = 0.83) symptoms and were significantly better than the no-information rate. Feature importance analyses revealed that anxiety and depression in adolescence are commonly related to sleep disturbances (anxiety OR = 2.12, depression OR = 1.80). Differentiating between symptoms, self-reported depression increased with decreasing life satisfaction (OR = 0.43), whereas self-reported anxiety was related to worries about the health of family and friends (OR = 1.98) as well as impulsivity (OR = 2.01). CONCLUSION: Our results show that app-based self-reports provide information that can classify symptoms of anxiety and depression in adolescence and thus offer new insights into symptom patterns related to adolescent mental health issues. These findings underscore the potentials of health apps in reaching large cohorts of adolescence and optimize diagnostic and treatment.

Intelligent health in the IS area: A literature review and research agenda.

As the global demand for healthcare services continues to grow, improving the efficiency and effectiveness of the healthcare ecosystem has become a pressing concern. Information systems are transforming the healthcare delivery process, shifting the focus of healthcare services from passive disease treatment to proactive health prevention and the healthcare management model from hospital-centric to patient-centric. This study focuses on reviewing research in IS journals on the topic of e-health and is dedicated to constructing a theoretical model of intelligent health to provide a research basis for future discussions in this field. In addition, as the innovation of intelligent healthcare services has led to changes in its elements (e.g., an increase in the number of stakeholders), there is an urgent need to sort out and analyze the existing research.

Analyzing the barriers and enablers to internet hospital implementation: a qualitative study of a tertiary hospital using TDF and COM-B framework.

Background: Internet hospitals have become an important way to improve the accessibility of medical services and promote medical equity in China. However, there is still lack of research on the behavior of medical personnel during the process of using Internet medical services, and the elements of behavior that motivate doctors to actively use or resist the use of Internet hospitals are still not fully analyzed. The study applied the Theoretical Domains Framework to examine the factors affecting the engagement of medical personnel in Internet hospitals, with the aim of guiding the design of intervention to enhance Internet hospital participation. Methods: This study utilized qualitative analysis. Semi-structured questionnaires based on the Theoretical Domains Framework (TDF) and Capability-Opportunity-Motivation-Behavior (COM-B) model was developed and administered to 40 doctors and nurses at a Grade A tertiary hospital in Guangdong Province. Data was coded and analyzed using qualitative methods including Nvivo software. Results: The research displayed 19 barriers and 7 enablers for the implementation of Internet hospitals, all 14 TDF domains impacted participation with motivation cited most frequently. Despite challenges, medical personnel exhibited a generally optimistic stance towards utilization of the Internet hospital. Major barriers include the higher requirement of diagnostic ability, objective difficulties brought by online consultation to the decision-making process, limitation of time and other resources, not ideal technological and institutional environment, lack of self-efficacy and negative expectation of results in online consultation. Key enablers include patient needs and the positive impact of online care on the medical process and patient experience. Discussion: This qualitative study identified a range of barriers and enablers to Internet hospital participation according to medical personnel, providing an conceptual framework to guide further research evaluating implementation strategies. Expanded research and targeted interventions design can help optimize participation in this evolving healthcare delivery model.

The effects of the-optimal-lymph-flow health IT system application on treatment-related high risk lymphedema in breast cancer patients: a randomized controlled trial.

PURPOSE: To evaluate the application effects of The-Optimal-Lymph-Flow IT System in Chinese patients at high risk of developing breast cancer-related lymphedema. METHODS: A total of 104 breast cancer patients were randomly assigned to either the control group or the intervention group. The intervention group was provided with the The-Optimal-Lymph-Flow program, while the control group received the usual care. Trial outcomes including symptom experience, quality of life, and limb volume were evaluated at baseline, and at end of the 1- and 3-month trials. RESULTS: After controlling for covariates, the incidence of eight symptoms was significantly higher in the control group than in the intervention group. There were significant differences in the changes in the severity of symptoms and arm volume between the two groups from baseline to 3 months after the intervention. CONCLUSIONS: The application of TOLF in patients at high risk of developing lymphedema following breast cancer treatment significantly improved the lymphedema-related symptoms experienced in the early stage after surgery. Trial registration ChiCTR1800016713.

Parkwood's VIP4SCI platform: A virtual e-health self-management solution for persons with spinal cord injury across the care continuum.

Objective: Parkwood VIP4SCI platform is a virtual e-health solution adapted from a version created for Spinal Cord Injury Ontario (SCIO) that focused on self-management skill development for persons with spinal cord injury (SCI) transitioning between stages of care, in partnership with caregivers and clinicians. This evaluation of the platform informs the usability and feasibility of a model to facilitate service care aims postrehabilitation. Design: Participants: Inpatients and outpatients admitted to the SCI Rehabilitation Program (n = 31), and a mix of interdisciplinary clinicians on the Rehabilitation Team (n = 20). Caregivers participated at the discretion of the patient.Interventions: Inpatients were randomized into two groups (Platform or Standard Care (i.e., delayed access)). Outpatients were given access at enrollment. Pre-post assessments were completed using surveys, and platform analytics were collected. Weekly check-ins were introduced to increase engagement. Focus groups were held with a subset of participants near study completion. Results: VIP4SCI was viewed as usable and feasible. Platform satisfaction assessed on a -3 to +3 scale ranged from +0.9 to 2.5, demonstrating positive agreement. Self-efficacy related to self-management ranged from 5.4 to 7.6 out of 10. The educational resource hub was identified as the most beneficial feature. Lack of clinician uptake was a barrier to integration into day-to-day practice. Conclusions: Platform usage was low among all groups despite the perceived need for facilitating care coordination with consistent and intentional self-management programming. Despite the lack of uptake, partly due to challenges associated with the pandemic, conclusions on platform features and barriers to implementation will help to inform future programming.

Passive Radar Sensing for Human Activity Recognition: A Survey.

Continuous and unobtrusive monitoring of daily human activities in homes can potentially improve the quality of life and prolong independent living for the elderly and people with chronic diseases by recognizing normal daily activities and detecting gradual changes in their conditions. However, existing human activity recognition (HAR) solutions employ wearable and video-based sensors, which either require dedicated devices to be carried by the user or raise privacy concerns. Radar sensors enable non-intrusive long-term monitoring, while they can exploit existing communication systems, e.g., Wi-Fi, as illuminators of opportunity. This survey provides an overview of passive radar system architectures, signal processing techniques, feature extraction, and machine learning's role in HAR applications. Moreover, it points out challenges in wireless human activity sensing research like robustness, privacy, and multiple user activity sensing and suggests possible future directions, including the coexistence of sensing and communications and the construction of open datasets.

What do patients want from a digital device that supports heart failure self-management?

OBJECTIVE: To assess patients' needs and the factors determining their acceptance of an e-Health intervention. METHODS: Purposive sample of patients with heart failure, attending an outpatient consultation were invited to complete a questionnaire designed to assess their needs and acceptance of an e-Health intervention. Data analysis was performed using Chi-square tests with post-hoc corrections. RESULTS: Response rate was 61 % (n = 101), with most patients (>70 %) indicating they could see themselves using an e-Health intervention to manage their heart failure. Participants with a healthy lifestyle (i.e., non-smoker and consumed alcohol < once/week) were more likely to have a positive attitude towards technology (p adj.=0.013). Those willing to use an e-Health intervention were convinced of its advantages by other patients with heart failure (p adj.=0.013). Advanced age, education level, employment or marital status did not influence patient attitudes toward health technology. CONCLUSIONS & PRACTICE IMPLICATIONS: Results indicate patients have a positive attitude towards the use of e-Health interventions to enable their self-management of heart failure. These findings will inform further development and delivery strategies of e-Health interventions.

The Tromsø Study: Lessons Learnt About Searching for Information About Health and Illness.

INTRODUCTION: Norway has a high use of e-health. METHODS: This paper summarizes and discusses the published data from the Tromsø 7 Study, conducted between 2015 and 2016, focusing on e-health utilization in the Norwegian population aged 40 and above. RESULTS: More than half of the participants reported using the Internet for health purposes. The main channels for obtaining information were search engines, apps, social media platforms, and online videos. The respondents frequently acted upon the information obtained online, and online health information influenced decisions regarding healthcare utilization and treatment management. Most respondents indicated a positive reaction to the information found online. CONCLUSIONS: The Tromsø 7 Study highlights the widespread utilization of e-health in Norway. The study also emphasizes the significant impact of e-health on individuals' decision-making processes related to their health. The findings suggest that the use of e-health overall does not replace the use of traditional health services, but rather functions as a supplement. Most respondents report positive reactions to online health information, highlighting the importance and relevance of e-health in modern healthcare practices.

Exploring Greek Population Attitudes Towards Using Health-Related Websites for Managing Their Health.

The last few years the Internet has evolved into a prominent information source for many people worldwide. Latest research has shown that an ever increasing number of citizens and patients go online in order to access health information and seek support in managing their health, including understanding their condition, adopting life-saving lifestyle adjustments and keeping up with treatment or aftercare guidelines. Due to this rise on the demand of online health information, health-related sites have increased substantially, with each one of them striving to maintain the most comprehensive and reliable source of health and medical information on the Internet. This paper presents a survey conducted among Greek population aiming at exploring participants general attitudes towards using the Internet to access health information as well as their views regarding a specific Greek health-related website, namely Iatronet. To this end, an online Greek version of eHealth Impact Questionnaire has been used which was developed using RedCAP platform.

Telemedicine and the Digitalisation of Health Services - Perspectives and Overview of Research.

The paper provides a brief overview of developments in the area of digitalisation of medical services. Key factors for telemedicine goals are identified and a new trend in medical technology development using artificial intelligence is presented. The final part of the article presents an analysis of data from a study on the implementation of telemedicine solutions in cardiology in one of the largest Polish research institutes with two hospitals. Risks and drivers for the development of telemedicine in the assessment of patients in cardiology are identified. E-health solutions connect the needs of patients and technological advances, crossing the barriers of traditional healthcare systems. Telemedicine requires more involvement of the patient in diagnosis, and the ability to recognise worrying symptoms is important for further treatment.

Implementation of a multimodal home-based rehabilitation intervention after discharge from inpatient geriatric rehabilitation (GeRas): an early qualitative process evaluation.

BACKGROUND: Geriatric rehabilitation aims at increasing physical and social activity and maintaining the functional reserve of older people. However, the continuity of geriatric rehabilitation in the outpatient setting is limited due to a lack of structured aftercare programs. In order to overcome this, a three-month multimodal home-based intervention program (GeRas) was implemented. The aim of this early qualitative process evaluation was to assess GeRas in terms of perceived reach, effectiveness/efficacy, adoption/uptake, implementation, and maintenance/sustainability (Domains within the RE-AIM Framework) from the perspective of patients who received the intervention and healthcare providers who were involved in the delivery of the intervention. METHODS: In a qualitative process evaluation, 13 healthcare providers and 10 patients were interviewed throughout the beginning of the implementation period of GeRas to capture early experiences using a semi-structured interview guide. The interview guide and qualitative content analysis was guided by the RE-AIM Framework. RESULTS: The GeRas program was perceived to be largely well implemented and beneficial by healthcare providers and patients. According to healthcare providers, GeRas showed more advantages compared to usual care. Additionally, outcome expectations were mainly met (Domain 1: Effectiveness). However, the implementation of the intervention delivered via the eHealth system was perceived as challenging (Domain 2: Adoption). Nevertheless, the outpatient physical exercise, the outpatient counselling, and the continuous care after discharge improved perceived well-being regardless of the intervention type (Domain 3: Implementation). To facilitate the continued use of GeRas, technical requirements should be created to increase user-friendliness and to motivate patients to continue the training in the long term (Domain 4: Maintenance). CONCLUSION: Although initial experiences with the implementation and effectiveness of GeRas were positive in general, organisational and technical issues need to be resolved to enhance sustainable and successful implementation of the GeRas program. TRIAL REGISTRATION: German Clinical Trials Register (DRKS00029559). Registered 5/10/2022.

Uptake and engagement of a clinically moderated digital peer support platform to support the mental well-being older adults: a qualitative investigation.

BACKGROUND: The uptake of traditional mental health services among older adults remains low. Digital peer support offers older adults a resource for engaging with others to independently support their mental well-being. This qualitative study explored the uptake and engagement of a clinically moderated digital peer support platform (Breathing Space) for older adults with depressive symptoms and alcohol use concerns. METHODS: Semi-structured interviews with 30 participants aged 60-80 years explored participants' uptake and engagement with Breathing Space, a novel, moderated, private, and anonymous peer support platform. Data were analysed using reflective thematic analysis and are discussed with reference to the Unified Theory of Acceptance and Use of Technology2. RESULTS: Three themes were constructed to characterize participants' experiences: (i) navigating the complexities of peer-peer online engagement; (ii) the function of anonymity in online connection; and (iii) experiences of app features and content. CONCLUSIONS: Future development of digital peer support for older adults would benefit from the following: (i) co-design with older adults; (ii) providing choice over anonymity and increased options for interacting with peers; (iii) streamlining the basic functionality with popular platforms; (iv) providing options for users to curate their digital experience; and (v) providing telephone support for troubleshooting technical difficulties. Future research should explore the use of digital peer support among older adults who experience social exclusion challenges.