Digital Interventions Research Articles

Perspectives on the sustained engagement with digital health tools: protocol for a qualitative interview study among people living with Inflammatory Bowel Disease or irritable bowel syndrome

IntroductionDigital health tools can be beneficial in the care of patients with chronic conditions and have the potential for widespread impact as readily scalable and cost-effective health interventions. However, benefits...

A health-equity framework for tailoring digital non-pharmacological interventions in aging

A health-equity framework for tailoring digital non-pharmacological interventions in aging

Digital Health and Self-Management in Idiopathic Inflammatory Myopathies: A Missed Opportunity?

This paper explored the potential of digital health in idiopathic inflammatory myopathies (IIMs), with a focus on self-management. Digital self-management technology includes tailored treatment plans, symptom tracking, educational resources, enhanced communication, and support for long-term planning. After arguing the importance of digital health in IIMs management, from diagnosis until treatment, our literature review revealed a notable gap in research focusing on the efficacy of digital self-management interventions for individuals with IIMs, with no randomised controlled trials or observational studies addressing this topic. Our review further highlighted the significant unmet need for research in self-management interventions for individuals with IIMs. The absence of studies underscores the necessity for collaborative efforts to address this gap and develop personalised, effective strategies for managing IIMs using digital technology. Individuals with IIMs deserve tailored self-management approaches akin to those available for other rheumatic and musculoskeletal diseases.

Mindfulness improves psychological health and supports health behaviour cognitions: Evidence from a pragmatic RCT of a digital mindfulness-based intervention.

Mindfulness-based interventions can improve psychological health; yet the mechanisms of change are underexplored. This pre-registered remote RCT evaluated a freely accessible digital mindfulness programme aiming to improve well-being, mental health and sleep quality. Health behaviour cognitions were explored as possible mediators. Participants from 91 countries (N = 1247, Mage = 27.03 [9.04]) were randomized to 30 days of mindfulness practice or attention-matched control condition. Measures of well-being, depression, anxiety, stress, sleep quality, barriers self-efficacy, self-regulation and behavioural predictors (e.g., attitudes and behavioural intentions) were taken at baseline, 1-month (post-intervention) and 2-months (follow-up). Linear regression examined intervention effects between and within groups. Longitudinal mediation analyses explored indirect effects through health behaviour cognitions. Three hundred participants completed post-intervention measures. Those receiving mindfulness training reported significantly better well-being (Mdifference = 2.34, 95%CIs .45-4.24, p = .016), lower depression (Mdifference = -1.47, 95%CIs -2.38 to -.56, p = .002) and anxiety symptoms (Mdifference = -.77, 95%CIs -1.51 to -.02, p = .045) than controls. Improvements in well-being and depression were maintained at follow-up. Intervention effects on primary outcomes were mediated by attitudes towards health maintenance and behavioural intentions. Mediating effects of attitudes remained when controlling for prior scores in models of depression and well-being. Digital, self-administered mindfulness practice for 30 days meaningfully improved psychological health, at least partially due to improved attitudes towards health behaviours and stronger behavioural intentions. This trial found that digital mindfulness is a promising and scalable well-being tool for the general population, and highlighted its role in supporting health behaviours.

Digital mental health interventions: an opportunity to enhance care while preserving human connection

Digital mental health interventions: an opportunity to enhance care while preserving human connection

Persuasive design principle of social support in digital interventions targeting mental health symptoms: a systematic review and meta-analysis

ObjectiveThis systematic review and meta-analysis evaluates the available evidence on efficacy of social support strategies, as defined by the persuasive system design framework, in internet-based and mobile-based interventions (IMI) targeting...

Education of the "SusCatinTing" application on changes in knowledge, attitudes, and behavior of brides-to-be.

The "SusCatinTing" application is a digital health intervention designed to enhance the knowledge, attitudes, and practices (KAP) of brides-to-be regarding stunting prevention during the critical first 1000 days of life. This study aimed to evaluate the effectiveness of this application in improving stunting prevention efforts among brides-to-be in Bengkulu Province, Indonesia. The application provides educational content on healthy pregnancy, maternal nutrition, and stunting prevention strategies, incorporating both text and audio explanations to ensure accessibility for illiterate and visually impaired users. A quantitative research design was employed, utilizing a single-group pretest-posttest approach involving 50 pairs of brides-to-be with internet-connected Android smartphones. Data collection was conducted through structured questionnaires administered by trained enumerators, focusing on KAP related to stunting prevention. The results indicated a significant improvement in KAP scores post-intervention (knowledge score increase: 42.59, p < 0.001). The application's unique features, including interactive quizzes and a certification process for marriage registration at the Office of Religious Affairs, contributed to its effectiveness. The study concludes that the "SusCatinTing" application is a promising tool for enhancing health education and promoting preventive behaviors among brides-to-be. Further research is recommended to explore the long-term impact of such digital interventions on stunting rates and maternal-child health outcomes.

Evaluating the Effectiveness of “I LIKE VST” Digital Technology in Enhancing Tuberculosis Treatment Adherence in Moldova

This study assessed the acceptance and feasibility of the implementation of Video Supported Treatment (VST) “I LIKE VST” digital application as an approach to increase tuberculosis (TB) treatment adherence in the Republic of Moldova. It employed mixed quantitative and qualitative method among TB patients and healthcare providers. The analysis encompasses socio-demographic factors, adherence levels, technological accessibility, and user experiences with the VST app. Results indicate that VST app method is acceptable and feasible to implement for people who find it convenient, regardless of their level of education. Adherence data from the I LIKE VST system shows that 75% of participants have over 90% adherence rate, due to VST app’s digital nature offering convenience and flexibility. No cases of less than 50% adherence were found. Challenges include technological, financial barriers and the need for patient-centric customization. Less than 2% of TB patients have their own phones which support the app work. Moreover, 13.3% of TB patients and 19.7% medical staff stated that they did not have own resources to cover mobile internet costs, until they were covered by the project. This study demonstrates the effectiveness of digital health interventions in resource-limited settings. The findings are particularly relevant for policymakers and health practitioners aiming to innovate TB treatment adherence strategies.

Validity And Reliability Of Digital Health Education On Diabetic Foot Care Based On Health Belief Model Among Type Ii Diabetic Patients

The study aims to evaluate the effectiveness of digital health education on diabetic foot care among type II diabetic patients using the Health Belief Model (HBM). A total of 30 participants were recruited from local diabetes clinics to receive digital health education focused on diabetic foot care practices. To ensure the validity and reliability of the assessment tools, we employed multiple methods. Content validity was established through expert reviews, while construct validity was examined using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), which confirmed a good factor structure aligned with the HBM constructs. Reliability was assessed using Cronbach’s alpha for internal consistency, which showed acceptable values ranging from 0.67 to 0.84, and test-retest reliability with Intraclass Correlation Coefficients (ICC) ranging from 0.74 to 0.78. The results indicate that the digital health education program significantly improved the participants' understanding and practices related to diabetic foot care. These findings underscore the potential of digital education interventions for chronic disease management, particularly for enhancing self-care behaviors in diabetic patients. Future studies should consider larger sample sizes to further validate these tools and results. Overall, this study provides evidence supporting the effectiveness of digital health education for diabetic foot care and validates the reliability and validity of the instruments used.

Centering equity, diversity, and inclusion in youth digital mental health: findings from a research, policy, and practice knowledge exchange workshop.

Youth mental health service organizations continue to rapidly broaden their use of virtual care and digital mental health interventions as well as leverage artificial intelligence and other technologies to inform care decisions. However, many of these digital services have failed to alleviate persistent mental health disparities among equity-seeking populations and in some instances have exacerbated them. Transdisciplinary and intersectional knowledge exchange is greatly needed to address structural barriers to digital mental health engagement, develop and evaluate interventions with historically underserved communities, and ultimately promote more accessible, useful, and equitable care. To that end, the Digital, Inclusive, Virtual, and Equitable Research Training in Mental Health Platform (DIVERT), the Maritime Strategy for Patient Oriented Research (SPOR) SUPPORT (Support for People and Patient-Oriented Research and Trials) Unit and IWK Mental Health Program invited researchers, policymakers, interprofessional mental health practitioners, trainees, computer scientists, health system administrators, community leaders and youth advocates to participate in a knowledge exchange workshop. The workshop aimed to (a) highlight local research and innovation in youth-focused digital mental health services; (b) learn more about current policy and practice issues in inclusive digital mental health for youth in Canada, (c) participate in generating action recommendations to address challenges to inclusive, diverse and equitable digital mental health services, and (d) to synthesize cross-sector feedback to inform future training curriculum, policy, strategic planning and to stimulate new lines of patient-oriented research. Eleven challenge themes emerged related to white-colonial normativity, lack of cultural humility, inaccessibility and affordability of participating in the digital world, lack of youth and community involvement, risks of too much digital time in youth's lives, and lack of scientific evidence derived from equity-deserving communities. Nine action recommendations focused on diversifying research and development funding, policy and standards, youth and community led promotion, long-term trust-building and collaboration, and needing to callout and advocate against unsafe digital services and processes. Key policy, training and practice implications are discussed.

The role of digital health interventions in supporting family caregivers for people with dementia to improve quality of life.

Dementia is a chronic progressive terminal condition. Most care is provided by family caregivers (including close friends); their wellbeing is a public health priority. Caregivers manage increasingly complex needs with disease progression, and declining cognitive and physical function. This can impact the well-being of caregivers, and meaningful support is essential. This review article aims to understand what the benefits and challenges of digital health interventions are and provide considerations for future development of digital health interventions for family caregivers for people with dementia, to improve quality of life. Benefits include the valuable source of support from connective platforms; 24/7 accessibility; and opportunity for remote monitoring. However, this needs to balance with challenges, including the privacy of data concerns; and the digital divide driving inequalities in care provision for family caregivers with no access to internet devices. Digital health interventions can positively impact the overall well-being of family caregivers for people with dementia. If challenges are addressed and digital health interventions are designed to meet priorities for family caregivers, this can help improve the quality of life for family caregivers of people with dementia.

Evaluating the Implementation and Clinical Effectiveness of an Innovative Digital First Care Model for Behavioral Health Using the RE-AIM Framework: Quantitative Evaluation.

In the United States, innovation is needed to address the increasing need for mental health care services and widen the patient-to-provider ratio. Despite the benefits of digital mental health interventions (DMHIs), they have not been effective in addressing patients' behavioral health challenges as stand-alone treatments. This study evaluates the implementation and effectiveness of precision behavioral health (PBH), a digital-first behavioral health care model embedded within routine primary care that refers patients to an ecosystem of evidence-based DMHIs with strategically placed human support. Patient demographic information, triage visit outcomes, multidimensional patient-reported outcome measure, enrollment, and engagement with the DMHIs were analyzed using data from the electronic health record and vendor-reported data files. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework was used to evaluate the implementation and clinical effectiveness outcomes of PBH. PBH had a 47.58% reach rate, defined as patients accepting the PBH referral from their behavioral health integrated clinician. PBH patients had high DMHI registration rates (79.62%), high activation rates (76.54%), and high retention rates at 15 days (57.69%) and 30 days (44.58%) compared to literature benchmarks. In total, 74.01% (n=168) of patients showed clinical improvement, 22.47% (n=51) showed no clinical change, and 3.52% (n=8) showed clinical deterioration in symptoms. PBH had high adoption rates, with behavioral health integrated clinicians referring on average 4.35 (SD 0.46) patients to PBH per month and 90%-100% of clinicians (n=12) consistently referring at least 1 patient to PBH each month. A third (32%, n=1114) of patients were offered PBH as a treatment option during their triage visit. PBH as a care model with evidence-based DMHIs, human support for patients, and integration within routine settings offers a credible service to support patients with mild to moderate mental health challenges. This type of model has the potential to address real-life access to care problems faced by health care settings.

Efficacy of a Multimodal Digital Behavior Change Intervention on Lifestyle Behavior, Cardiometabolic Biomarkers, and Medical Expenditure: Protocol for a Randomized Controlled Trial.

The US Preventive Services Task Force recommends providers offer individualized healthy behavior interventions for all adults, independent of their risk of cardiovascular disease. While strong evidence exists to support disease-specific programs designed to improve multiple lifestyle behaviors, approaches to adapting these interventions for a broader population are not well established. Digital behavior change interventions (DBCIs) hold promise as a more generalizable and scalable approach to overcome the resource and time limitations that traditional behavioral intervention programs face, especially within an occupational setting. We aimed to evaluate the efficacy of a multimodal DBCI on (1) self-reported behaviors of physical activity, nutrition, sleep, and mindfulness; (2) cardiometabolic biomarkers; and (3) chronic disease-related medical expenditure. We conducted a 2-arm randomized controlled trial for 12 months among employees of an academic health care facility in the United States. The intervention arm received a scale, a smartphone app, an activity tracker, a video library for healthy behavior recommendations, and an on-demand health coach. The control arm received standard employer-provided health and wellness benefits. The primary outcomes of the study included changes in self-reported lifestyle behaviors, cardiometabolic biomarkers, and chronic disease-related medical expenditure. We collected health behavior data via baseline and quarterly web-based surveys, biometric measures via clinic visits at baseline and 12 months, and identified relevant costs through claims datasets. A total of 603 participants were enrolled and randomized to the intervention (n=300, 49.8%) and control arms (n=303, 50.2%). The average age was 46.7 (SD 11.2) years, and the majority of participants were female (80.3%, n=484), White (85.4%, n=504), and non-Hispanic (90.7%, n=547), with no systematic differences in baseline characteristics observed between the study arms. We observed retention rates of 86.1% (n=519) for completing the final survey and 77.9% (n=490) for attending the exit visit. This study represents the largest and most comprehensive evaluation of DBCIs among participants who were not selected based on their underlying condition to assess its impact on behavior, cardiometabolic biomarkers, and medical expenditure. ClinicalTrials.gov NCT04712383; https://clinicaltrials.gov/study/NCT04712383. RR1-10.2196/50378.

Creativity as Key Trigger to Cognitive Achievement: Effects of Digital and Analog Learning Interventions

AbstractThis study analyses the coherent integration of creativity into science education modules for eighth-grade students to enhance competence development. The learning modules’ content covered a basic ecological unit about forests, applied as digital or analog lesson. By utilizing the creativity subscales ‘Act’ and ‘Flow’ its analysis resulted in a clear factorial structure. Notably, higher levels of creativity were associated with increased cognitive learning achievements among students, irrespective of the instructional delivery method—be it analog or digital. Particularly, the ‘Act’ and ‘Flow’ dimensions exhibited a promising potential for augmenting learning outcomes in learner-centric, gamified modules. The mentoring role of teachers is supposed to promote a flow state and simultaneously to highlight the significance of autonomy in learning processes. Unexpectedly, there were no discernible gender differences. This research significantly contributes to our understanding of the interplay among creativity, learning success, and instructional modalities within the realm of science education.

Components of home-based palliative and supportive care for adults with heart failure: A scoping review.

Palliative care and supportive care provided in the home for people with heart failure can improve quality of life, caregiver wellbeing and reduce healthcare costs. Identifying components of home-based palliative and supportive care in heart failure is useful to inform tailored care to people with heart failure. To identify and describe components of home-based palliative and supportive care in adults with heart failure. A scoping review was undertaken in accordance with Joanna Briggs Institute guidelines. The protocol was registered prospectively with the Open Science Framework (https://doi.org/10.17605/OSF.IO/GHCME). Embase, PubMed, CINAHL and Cochrane databases were searched from inception in May 2023 and re-run in January 2024. Original research focussed on palliative and supportive care in the home setting that included adults diagnosed with heart failure who have not undergone nor awaiting a heart transplant was included. Results were extracted from 13 papers based on eight studies. The findings highlight that nurses supported by a multidisciplinary team, providing symptom management, patient and carer education and discussion of goals of care and advance care planning, facilitates home-based palliative and supportive care for people with heart failure. Ensuring patient and caregiver-centred care supported by a multidisciplinary team is essential to delivering home-based palliative and supportive care for people with heart failure. Further research focussed on the role of digital interventions in home-based palliative and supportive care, the composition of the multidisciplinary team and research which includes individuals across all stages of heart failure is needed.

Building An Android-Based Application For Teenage Women's Reproductive Health Education

Background: Improper nutritional intake during adolescence can cause health problems, such as: impaired physical growth, increased risk of iron deficiency (Iron Deficiency Anemia), decreased intellectual capacity, impaired bone health, impaired sexual organ function, impaired concentration and performance at school, eating disorders and obesity, as well as malnutrition, but teenagers' knowledge about nutrition is very limited. Teenagers easily adapt to digital literacy. Providing digital interventions can have a positive impact on various aspects of health so that efforts to empower teenagers through increasing health promotion and early detection of adolescent health problems digitally are growing rapidly. Aim: The aim of this research is to explore the needs of young women for Android-based nutritional and reproductive health educational applications. Method: The qualitative research method is in-depth interviews via the Zoom application, WhatsApp video call, or WhatsApp voice call. Result: The results of qualitative research show that young women prefer educational media that is easy and fast in providing health information so that educational efforts via smartphones, namely Android-based applications, are an effective solution in providing precise and accurate information about nutritional intake and reproductive health. Keywords: Reproductive Health, Young Women, Application

Provision of Digital Primary Health Care Services: Overview of Reviews.

Digital health is a growing field, and many digital interventions have been implemented on a large scale since the COVID-19 pandemic, mainly in primary health care (PHC). The development of digital health interventions and their application in PHC are encouraged by the World Health Organization. The increased number of published scientific papers on this topic has resulted in an overwhelming amount of information, but there is no overview of reviews to summarize this evidence. This study aims to provide policy makers, health managers, and researchers with a summary of evidence on digital interventions used in PHC. This overview of reviews searched the Web of Science and MEDLINE databases for systematic and scoping reviews on assessments of digital technologies implemented in PHC published from January 2007 to March 2023. Only reviews that addressed digital interventions whose targets were real patients or health care providers (HCPs) were included. A total of 236 records were identified from the search strategy, of which 42 (17.8%) full-text papers were selected for analysis, and 18 (7.6%) reviews met the eligibility criteria. In total, 61% (11/18) of the reviews focused their analysis on specific digital health interventions (client-to-provider telemedicine, provider-to-provider telemedicine, health worker decision support systems, systems for tracking patients' health status, client participation and self-care platforms, and provision of education and training to health workers), and 39% (7/18) of the reviews focused on specific topics related to PHC (preventive care, chronic disease management, behavioral health disorders, the COVID-19 pandemic, multicomponent PHC interventions, and care coordination). Most studies in the included reviews agreed on barriers to implementation, such as software and apps developed without involving end users, the lack of training of HCPs and patients in digital technology use, and the lack of reimbursement and billing strategies for remote consultations. However, they showed several mixed results related to health service quality and patients' clinical conditions and behavior changes. Research in digital health applied to PHC is still concentrated in high-income countries, mainly in North America and Europe. The mixed results related to health service quality and patients' clinical conditions or behavior changes may have been caused by deficiencies in the process of implementing digital interventions. It is necessary to examine the entire impact pathway and the causal relationship among implementation, health service quality, and clinical condition outcomes to support the spread of digital health in PHC settings.

Acceptance of Digital Discharge Management Interventions Among Patients After Bariatric Surgery: A Cross-Sectional Study

Bariatric surgery is an effective long-term treatment for severe obesity, but relapse rates remain high. Digital interventions can enhance patient care, yet research on the intention to use digital discharge management interventions is lacking. This study aims to assess the behavioral intention to use digital discharge management interventions after bariatric surgery and to identify differences in sociodemographic and medical characteristics, as well as potential key drivers and barriers. A cross-sectional study with N = 514 patients was conducted using the Unified Theory of Acceptance and Use of Technology (UTAUT). Mean scores for behavioral intention and predictors were calculated. Group differences were analyzed with independent t-tests and analyses of variance with post hoc tests. Drivers and barriers were assessed through multiple hierarchical regression analysis. The behavioral intention to use digital discharge management interventions was high. Significant predictors included age (β = −0.17, p &lt; 0.001), eHealth literacy (β = 0.10, p = 0.037), internet anxiety (β = −0.15, p = 0.003), and time since bariatric operation (β = −0.13, p = 0.005). The predictors performance expectancy (β = 0.23, p &lt; 0.001), effort expectancy (β = 0.36, p &lt; 0.001), and social influence (β = 0.26, p &lt; 0.001) were significantly positive key factors. These results confirm the need for implementing digital discharge interventions after bariatric surgery, with various drivers and barriers identified for application usage.

Digital Mental Health Interventions for Adolescents in Low- and Middle-Income Countries: Scoping Review.

Digital mental health interventions (DMHIs) are increasingly recognized as potential solutions for adolescent mental health, particularly in low- and middle-income countries (LMICs). The United Nations' Sustainable Development Goals and universal health coverage are instrumental tools for achieving mental health for all. Within this context, understanding the design, evaluation, as well as the barriers and facilitators impacting adolescent engagement with mental health care through DMHIs is essential. This scoping review aims to provide insights into the current landscape of DMHIs for adolescents in LMICs. The Joanna Briggs Institute scoping review methodology was used, following the recommendations of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). Our search strategy incorporated 3 key concepts: population "adolescents," concept "digital mental health interventions," and context "LMICs." We adapted this strategy for various databases, including ACM Digital Library, APA PsycINFO, Cochrane Library, Google Scholar (including gray literature), IEEE Xplore, ProQuest, PubMed (NLM), ScienceDirect, Scopus, and Web of Science. The articles were screened against a specific eligibility criterion from January 2019 to March 2024. We analyzed 20 papers focusing on DMHIs for various mental health conditions among adolescents, such as depression, well-being, anxiety, stigma, self-harm, and suicide ideation. These interventions were delivered in diverse formats, including group delivery and self-guided interventions, with support from mental health professionals or involving lay professionals. The study designs and evaluation encompassed a range of methodologies, including randomized controlled trials, mixed methods studies, and feasibility studies. While there have been notable advancements in DMHIs for adolescents in LMICs, the research base remains limited. Significant knowledge gaps persist regarding the long-term clinical benefits, the maturity and readiness of LMIC digital infrastructure, cultural appropriateness, and cost-effectiveness across the heterogeneous LMIC settings. Addressing these gaps necessitates large-scale, co-designed, and culturally sensitive DMHI trials. Future work should address this.

Digital health and quality of care in Primary Health Care: an evaluation model.

The implementation of technologies in Primary Health Care with monitoring and evaluation of the quality of health care is fundamental to direct the access and quality of health care in the context of the Sustainable Development Goals. Our objective was to develop a model for evaluating digital health interventions in primary care, considering its impact on first contact, longitudinality, integrality and coordination in health. This is an exploratory methodological study of a qualitative nature. This study seeks to explore strategic actors' perceptions of an evaluation model, and was developed in a process between June 2021 and March 2024. The following stages were followed: Identification of previous models available in the literature, model development, model validation, model update. We performed a nominal group consensus technique online with seven experts. Stages taken to define the design of the model: sending the elaborated model, together with an electronic form with 18 subjective questions, such as brainstorming strategy, for recording impressions, judgment of agreement and suggestions; workshop for discussion by videoconference, at the time the objectives and the model diagram were presented, followed by debate with clarification of doubts and suggestions for clarification of the step-by-step design. After incorporating the suggestions, the model agreed upon in the workshop was subjected to another analysis by the same experts, sent in an online Google document, in which possible inconsistencies between the proposed model and the agreed one were verified, as well as the final agreement on the recommended proposal. At the end of this stage, with synchronous and asynchronous remote procedures, consensus was reached. The proposed evaluation model presents as primary categories, structure, process and result. The structure encompasses four indicators, namely, employees; financial resources; infrastructure resources; and regulatory and strategic resources. The process is organized into three dimensions, namely: technical dimension, organizational dimension and relational dimension. The results will be evaluated in products; intermediate results; and impacts (short, medium and long term). The results will be measured by the seven pillars of quality: efficacy, effectiveness, efficiency, optimization, acceptability, legitimacy, equity. This study achieved the goal of developing a model to evaluate digital health interventions in Primary Health Care, helping to identify adequate and useful evaluation methods filling the gap of the lack of quality evaluation standards in the brazilian Digital Health Strategy. It presents an important difference in relation to models from different countries, as it considers the impacts on Primary Health Care quality attributes such as first contact care, longitudinality, integrality and coordination of care. The model will be used by managers and health professionals of Primary Health Care in a case study in Brazil to evaluate the quality of health care. It is expected that the proposed model may be used in other evaluation studies and countries through contextual adaptations.