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1

Murray, Elizabeth, Eric B. Hekler, Gerhard Andersson, et al. "Evaluating Digital Health Interventions." American Journal of Preventive Medicine 51, no. 5 (2016): 843–51. http://dx.doi.org/10.1016/j.amepre.2016.06.008.

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Scherenberg, Viviane, and Melanie Preuß. "AOK Herzgesundheit digital: fördernde und hemmende Faktoren digitaler Präventions-interventionen." Monitor Versorgungsforschung 2025, no. 03 (2025): 64–68. https://doi.org/10.24945/mvf.03.25.1866-0533.2723.

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pressure. Digital interventions are particularly suitable for promoting a healthy lifestyle. The model project “AOK Herzgesundheit digital” (AOK Digital Heart Health) was initiated to support patients with hypertension. Methodology: The aim of the study (with three survey waves) was to identify factors from the participants' perspective that promote or inhibit the (long-term) use of such interventions. Results: The subjective self-/disease management, the general state of health and health literacy could be improved. In particular, the personal counseling proved to be beneficial and motivating. Technical and motivational barriers could be identified. Conclusion: The results show that personal components can have a significant influence on the success of digital interventions.
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Aguilera, Adrian. "Digital Technology and Mental Health Interventions: Opportunities and Challenges." Arbor 191, no. 771 (2015): a210. http://dx.doi.org/10.3989/arbor.2015.771n1012.

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Gulati, Riya. "Digital Health and Technological Interventions." International Journal of Advanced Nursing Education and Research 8, no. 2 (2023): 37–44. http://dx.doi.org/10.21742/ijaner.2023.8.2.04.

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Fitterman-Harris, Hannah F., Gabrielle G. Davis, Samantha P. Bedard, Claire E. Cusack, and Cheri A. Levinson. "Digital Mental Health Interventions: Differences in Diet Culture Intervention Framing." International Journal of Environmental Research and Public Health 21, no. 1 (2023): 24. http://dx.doi.org/10.3390/ijerph21010024.

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Diet culture is a societal norm that ranks thin bodies as superior to other body types and has been associated with negative outcomes, such as eating disorders. Wellness has evolved into a term that is often used to promote diet culture messages. One possible way to combat diet culture is through single-session, digital mental health interventions (DMHIs), which allow for increased access to brief public health treatments. The framing of DMHIs is critical to ensure that the target population is reached. Participants (N = 397) were enrolled in a single-session DMHI, which was framed as either a Diet Culture Intervention (n = 201) or a Wellness Resource (n = 196). Baseline group differences in eating disorder pathology, body image, weight stigma concerns, fat acceptance, and demographic characteristics were analyzed. Across groups, participants reported moderately high eating disorder pathology, low-to-moderate levels of body dissatisfaction, moderate levels of fat acceptance, and either very low or very high weight stigma concerns. Participants in the Diet Culture Intervention group reported higher levels of fat acceptance than those in the Wellness Resource group (p < 0.001). No other framing group differences were identified, though post hoc analyses revealed differences based on recruitment source (i.e., social media versus undergraduate research portal). This study found that framing a DMHI as targeting diet culture or as a Wellness Resource can result in the successful recruitment of individuals at risk of disordered eating. Framing a DMHI as a Wellness Resource may increase recruitment of individuals with low levels of fat acceptance, which may be particularly important for dismantling diet culture, disordered eating, and weight stigma concerns. Future research should assess DMHI framing in other populations, such as men and adolescents.
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Khanna, Muniya, and Raphael Rose. "Editorial: Digital Interventions in Mental Health." Cognitive and Behavioral Practice 29, no. 1 (2022): 1–3. http://dx.doi.org/10.1016/j.cbpra.2021.06.013.

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De Cocker, Katrien. "Digital Health Interventions in Everyday Settings." International Journal of Environmental Research and Public Health 17, no. 8 (2020): 2702. http://dx.doi.org/10.3390/ijerph17082702.

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Zhang, Hao, and Guifang Fu. "Digital Interventions for Mental Health Problems." International Journal of Managerial Studies and Research 11, no. 8 (2023): 74–84. http://dx.doi.org/10.20431/2349-0349.1108007.

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Bloch, Carolina. "Digital Interventions in the Health Sector." IMF Notes 2023, no. 004 (2023): 1. http://dx.doi.org/10.5089/9798400251030.068.

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Ashraf, Mudasir. "Digital Burnout and Mental Health: Evaluating Interventions in Gen Z Populations." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 1231–37. https://doi.org/10.21275/sr25416193432.

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Baumel, Amit, Theresa Fleming, and Stephen M. Schueller. "Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care." Journal of Medical Internet Research 22, no. 10 (2020): e20631. http://dx.doi.org/10.2196/20631.

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Although many people access publicly available digital behavioral and mental health interventions, most do not invest as much effort in these interventions as hoped or intended by intervention developers, and ongoing engagement is often low. Thus, the impact of such interventions is minimized by a misalignment between intervention design and user behavior. Digital micro interventions are highly focused interventions delivered in the context of a person’s daily life with little burden on the individual. We propose that these interventions have the potential to disruptively expand the reach of beneficial therapeutics by lowering the bar for entry to an intervention and the effort needed for purposeful engagement. This paper provides a conceptualization of digital micro interventions, their component parts, and principles guiding their use as building blocks of a larger therapeutic process (ie, digital micro intervention care). The model represented provides a structure that could improve the design, delivery, and research on digital micro interventions and ultimately improve behavioral and mental health care and care delivery.
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Chaudhury, Suprakash, Kalpana Srivastava, Sana Dhamija, Jyoti Prakash, and Kaushik Chatterjee. "Digital technological interventions in mental health care." Industrial Psychiatry Journal 29, no. 2 (2020): 181. http://dx.doi.org/10.4103/ipj.ipj_32_21.

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O’Raghallaigh, Paidi, and Frederic Adam. "A Framework for Designing Digital Health Interventions." Journal of the Midwest Association for Information Systems 2017, no. 2 (2017): 41–56. http://dx.doi.org/10.17705/3jmwa.00030.

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Catalá-López, Ferrán, and Brian Hutton. "Digital health interventions for children with ADHD." Lancet Digital Health 2, no. 4 (2020): e150-e151. http://dx.doi.org/10.1016/s2589-7500(20)30058-3.

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Shrivastava, SaurabhRamBihariLal, and PrateekSaurabh Shrivastava. "Digital interventions to strengthen the health sector: World Health Organization." Digital Medicine 5, no. 2 (2019): 90. http://dx.doi.org/10.4103/digm.digm_12_19.

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Goel, Raj Kumar, and Shweta Vishnoi. "Strengthening and Sustaining Health-Related Outcomes Through Digital Health Interventions." Journal of Engineering Science and Technology Review 12, no. 2 (2023): 10–17. http://dx.doi.org/10.25103/jestr.162.02.

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Torous, John, Katharine A. Smith, Amy Hardy, et al. "Digital health interventions for schizophrenia: Setting standards for mental health." Schizophrenia Research 267 (May 2024): 392–95. http://dx.doi.org/10.1016/j.schres.2024.04.013.

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Ivanets, N. N., M. A. Kinkulkina, and Yu G. Tikhonova. "Digital interventions in mental health: challenges and perspectives." National Health Care (Russia) 4, no. 2 (2023): 5–14. http://dx.doi.org/10.47093/2713-069x.2023.4.2.5-14.

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The high prevalence, burden and social impact of mental disorders, the lack of mental health care professionals and services around the world, the improvement and dissemination of digital technologies are the factors that have provided increased attention to the process of digital transformation in mental health care recently. The COVID-19 pandemic has increased the importance of remote interaction between different participants in the therapeutic process. Digital technologies in mental health care can bring significant advances in both clinical and scientific psychiatry. The article presents the most promising digital solutions for the diagnosis, therapeutic interventions and prevention of mental disorders. The technologies by which they are implemented are described, including computer programs, virtual and augmented reality, internet resources. The advantages and disadvantages of digital technologies usage in psychiatric practice are analyzed. The article described the main barriers that stand in the way of digital transformation in mental health, including insufficient scientific and practical support of the developed digital products, the lack of methodological foundations, the regulatory framework, and legislation.
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Alnaher, Sarah. "Digital Mental Health Interventions: A Comprehensive Systematic Review." Journal of Sociology, Psychology & Religious Studies 5, no. 2 (2023): 108–22. http://dx.doi.org/10.53819/81018102t4236.

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With the emergence of smartphone applications, chatbots, and AI-powered technologies in recent years, digital mental health interventions have grown in popularity. The purpose of this systematic review was to assess the efficacy and morality of these technologies in delivering care and support for mental health. A thorough review of the relevant research revealed that digital treatments in mental health have the potential for increasing the availability and cost of mental health care. However, difficulties with data privacy, ethical issues, and the requirement for more study were also noted. This study gives recommendations for future research and practice as well as insightful information about the state of digital mental health interventions now. Keywords: Digital health, AI-powered technologies, mental health treatment, costs, ethical issues, and digital interventions
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Yani, Ahmad, Multy Nirwan, Fadly Umar, and Indra Afriyanto. "Enhancing Digital Health Literacy to Improve Quality of Life: Evidence Based Strategies for Public Health Advancement." Journal of Health Literacy and Qualitative Research 2, no. 1 (2022): 31–42. https://doi.org/10.61194/jhlqr.v2i1.535.

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The increasing reliance on digital health interventions has underscored the need to enhance digital health literacy to improve individual health outcomes and quality of life. This study explores the effectiveness of digital health literacy interventions, including mobile applications, online education platforms, and telehealth services, in improving health knowledge and self-care behaviors. A systematic literature review was conducted using databases such as PubMed, Scopus, and Google Scholar, with selected studies focusing on adult populations and chronic disease management. Findings indicate that digital interventions significantly enhance health literacy and health-related behaviors; however, challenges such as disparities in digital access, socioeconomic factors, and variations in digital literacy levels limit widespread adoption. Comparative analysis reveals that while digital interventions offer advantages in accessibility and engagement, they must be adapted to different demographic and socioeconomic contexts to ensure equity. Policy implications highlight the necessity of investing in digital infrastructure, integrating digital literacy into healthcare education, and implementing data security regulations to foster trust and usability. The study concludes that digital health literacy is a crucial component of modern healthcare strategies. Addressing barriers and optimizing digital intervention designs are essential for maximizing the potential of digital health tools in promoting preventive care and improving public health outcomes. Future research should focus on long-term intervention effectiveness, AI-driven personalization, and culturally inclusive health literacy programs.
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Hafner, Jessica, Simone Schönfeld, Pinar Tokgöz, Katharina Choroschun, Arndt Schlubach, and Christoph Dockweiler. "Digital Health Interventions in Depression Care—A Survey on Acceptance from the Perspective of Patients, Their Relatives and Health Professionals." Healthcare 10, no. 10 (2022): 2019. http://dx.doi.org/10.3390/healthcare10102019.

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Digital health interventions may contribute to closing the treatment gap for depression by reaching large populations at relatively low costs. This article presents the results of a broad, multisided German survey in 2020 on the acceptance and use of digital health interventions in depression care from the perspective of patients, their relatives, and health professionals. A total of 97 patients and relatives and 229 health professionals participated. Survey participants reported openness towards the use of digital health interventions in depression care but little knowledge and experience in the field. Digital health interventions appear to be a promising opportunity for reducing depressive symptoms and shortening waiting time for depression treatment, especially in rural areas. Providing information and technical competencies may increase awareness and knowledge about digital health interventions and the benefits of depression care.
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Shaffer, Kelly M., Lindsay S. Mayberry, Emily Georgia Salivar, Brian D. Doss, Amanda M. Lewis, and Kimberly Canter. "Dyadic digital health interventions: Their rationale and implementation." Procedia Computer Science 206 (2022): 183–94. http://dx.doi.org/10.1016/j.procs.2022.09.097.

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Fors, Vaike, and Sarah Pink. "Pedagogy as Possibility: Health Interventions as Digital Openness." Social Sciences 6, no. 2 (2017): 59. http://dx.doi.org/10.3390/socsci6020059.

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Nadarzynski, Tom, Leanne Morrison, Jake Bayley, and Carrie Llewellyn. "The role of digital interventions in sexual health." Sexually Transmitted Infections 93, no. 4 (2016): 234.2–235. http://dx.doi.org/10.1136/sextrans-2016-052926.

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Kim, Myungsung, Sangil Lee, In Ji Jeong, Min Jeon, and Dooyoung Jung. "Digital interventions for mental health: challenges and opportunities." Journal of the Korean Medical Association 67, no. 12 (2024): 752–61. https://doi.org/10.5124/jkma.2024.67.12.752.

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Background: The coronavirus disease 2019 pandemic has exacerbated global mental health challenges, underscoring the urgent need for advancements in digital healthcare technologies. Digital therapeutics have demonstrated clinical utility across various domains; however, their development and implementation in the mental health remain constrained within the traditional clinical paradigm. This study conceptualizes and classifies digital interventions for mental health (DIMH), delineates their core technologies, and discusses their strengths and limitations.Current Concepts: DIMH interventions predominantly utilize cognitive behavioral therapy frameworks, targeting conditions such as anxiety, depression, and psychological distress. Despite their potential, low user engagement remains a persistent challenge, necessitating personalized approaches tailored to individual needs. Platforms bridge users and therapists, facilitating hybrid online-offline care; however, service delivery may falter due to shortages in provider availability. Emerging social chatbots, while not specifically designed for treatment, show promising outcomes but are limited by insufficient consideration of social contexts and potential interactional errors. Digital phenotyping, which leverages behavioral data such as location tracking and smartphone usage patterns, enhances the personalization of interventions by embedding social context. Additionally, virtual reality (VR) offers effective solutions for exposure therapy and social interaction training, serving as a viable alternative to traditional therapy.Discussion and Conclusion: This review underscores the complementary nature of DIMH technologies and advocates for an integrated approach. The convergence of group-based interventions, chatbots, digital phenotyping, and VR technology presents opportunities for more effective and personalized mental health care. Such advancements could redefine mental health services, addressing unmet needs and fostering innovation.
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McAuley, A. "Digital health interventions: widening access or widening inequalities?" Public Health 128, no. 12 (2014): 1118–20. http://dx.doi.org/10.1016/j.puhe.2014.10.008.

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Ida Puteri Mahsan, Nurul ‘Ain Mohd Daud, Mohd Yusof Zulkefli, Norshahila Ibrahim, Elis Syuhaila Mokhtar, and Muliyati Mat Alim. "Mental Health Digital Interventions Technology: A Systematic Review." Journal of Advanced Research in Applied Sciences and Engineering Technology 33, no. 3 (2023): 124–36. http://dx.doi.org/10.37934/araset.33.3.124136.

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The well-being and quality of life of an individual are greatly influenced by their mental health. Regardless of these functional as well as emotional issues, relatively few individuals seek therapy because of obstacles including stigma and a lack of funds. Numerous mental health disorders and problems were found to benefit from digital interventions. A known standard practice for performing a systematic literature review, the research applies the pre-recording systematic reviews Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) technique. Two databases, PubMed as well as Scopus, from the years 2020 to 2022, were employed to analyze the study's approach. Therefore, this study proposed a thorough and systematic analysis of the intervention method and the efficacy of digital treatments applied to enhance mental health in a setting relevant to students and young adults . The research findings of this study revealed two main themes, namely intervention technology medium and the effectiveness of digital interventions implementation on mental health. The reviews will educate academics and those who offer digital interventions about how to leverage technology-based tactics to increase participation in such activities.
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Pedersen, Keld. "Preventive Digital Health Interventions: Identifying the major risks." Procedia Computer Science 256 (2025): 900–908. https://doi.org/10.1016/j.procs.2025.02.193.

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Whitton, Alexis E., Rebecca Hardy, Kate Cope, et al. "Mental Health Screening in General Practices as a Means for Enhancing Uptake of Digital Mental Health Interventions: Observational Cohort Study." Journal of Medical Internet Research 23, no. 9 (2021): e28369. http://dx.doi.org/10.2196/28369.

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Background Digital mental health interventions stand to play a critical role in managing the mental health impact of the COVID-19 pandemic. Thus, enhancing their uptake is a key priority. General practitioners (GPs) are well positioned to facilitate access to digital interventions, but tools that assist GPs in identifying suitable patients are lacking. Objective This study aims to evaluate the suitability of a web-based mental health screening and treatment recommendation tool (StepCare) for improving the identification of anxiety and depression in general practice and, subsequently, uptake of digital mental health interventions. Methods StepCare screens patients for symptoms of depression (9-item Patient Health Questionnaire) and anxiety (7-item Generalized Anxiety Disorder scale) in the GP waiting room. It provides GPs with stepped treatment recommendations that include digital mental health interventions for patients with mild to moderate symptoms. Patients (N=5138) from 85 general practices across Australia were invited to participate in screening. Results Screening identified depressive or anxious symptoms in 43.09% (1428/3314) of patients (one-quarter were previously unidentified or untreated). The majority (300/335, 89.6%) of previously unidentified or untreated patients had mild to moderate symptoms and were candidates for digital mental health interventions. Although less than half were prescribed a digital intervention by their GP, when a digital intervention was prescribed, more than two-thirds of patients reported using it. Conclusions Implementing web-based mental health screening in general practices can provide important opportunities for GPs to improve the identification of symptoms of mental illness and increase patient access to digital mental health interventions. Although GPs prescribed digital interventions less frequently than in-person psychotherapy or medication, the promising rates of uptake by GP-referred patients suggest that GPs can play a critical role in championing digital interventions and maximizing the associated benefits.
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Tran, Mr Thai Binh, Dr Meghan Ambrens, Ms Jennifer Nguyễn, et al. "PERSPECTIVES OF PEOPLE WITH CHRONIC KIDNEY DISEASE REGARDING DIGITAL HEALTH INTERVENTIONS THAT PROMOTE A HEALTHY LIFESTYLE: QUALITATIVE SYSTEMATIC REVIEW." Journal of Clinical Exercise Physiology 13, s2 (2024): 426. http://dx.doi.org/10.31189/2165-7629-13-s2.426.

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Chronic kidney disease (CKD) is a life-limiting condition that affects 1 in 10 adults and accounts for 12% of all deaths in Australia. Diet and physical activity are crucial to attenuate disease progression and reduce mortality risk. Digital health interventions have been proposed as a feasible model to deliver lifestyle interventions. Users’ perspectives are key to ensure the intervention is aligned with their needs and goals. As such, this systematic review aimed to synthesise the perspectives of people with CKD and develop higher order concepts that elucidate users’ preferences regarding digital health interventions that promote heathy lifestyle. This was a qualitative systematic review. A database search was conducted on CENTRAL, Scopus, MEDLINE, CINAHL and SPORTDiscus between 2000-2023. Eligibility criteria included primary research that reported the preferences of adults with CKD regarding digital lifestyle interventions. Two independent reviewers completed title, abstract and full text screening. Quotes were extracted verbatim, coded and categorised. Categories were then used to generate themes. Database search identified 5,761 records. One additional record was included following communication with a primary author. Fifteen papers were eligible, including 197 participants (age 51.0±7.2 years; 47% female). There were 83 people with CKD 1-5; 61 transplant recipients; and 53 people receiving maintenance dialysis. The overarching theme identified was that people with CKD considered digital interventions to be important platforms to access lifestyle interventions. There were five underlying themes that elucidated users’ preferences for digital interventions, including simple instruction and engaging design; individualised interventions; virtual communities of care; education and action plans; and timely reminders and automated behavioural monitoring. Digital health interventions were considered important platforms to deliver lifestyle interventions. Future research may apply users’ preferences in this review to inform the development and conduct of a digital lifestyle intervention for people with CKD.
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Kechagias, Evripidis P., Georgios A. Papadopoulos, and Ioanna Rokai. "Evaluating the Impact of Digital Health Interventions on Workplace Health Outcomes: A Systematic Review." Administrative Sciences 14, no. 6 (2024): 131. http://dx.doi.org/10.3390/admsci14060131.

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With the increasing penetration of digital technologies into health management, digital health interventions in workplaces have been subject to substantial interest. These interventions aim to enhance employee well-being, minimize absenteeism and presenteeism, and augment organizational productivity. This paper carries out a systematic review focusing on the key characteristics of effective digital health interventions designed to enhance health-related outcomes within workplace settings and evaluates their implications for prospective implementation in the workplace. According to PRISMA guidelines, the current systematic review adopted the most appropriate methods to retrieve studies from PubMed, covering interventions that included cognitive-behavioral therapy apps, software that reduces sedentary behaviors, virtual reality for well-being, and comprehensive health programs. The studies’ quality was assessed through standardized tools with a preference for randomized control trials and mixed-methods research. It was found that digital health interventions positively impact mental health, physical activity, and well-being. However, limitations were found due to self-reported data and potential biases. This review identified long-term effectiveness, objective outcome measures, and cost-effectiveness as areas for future research. Digital health interventions hold promise in enhancing workplace health strategies, as they offer scalable, personalized, cost-effective solutions. However, critically relevant research gaps have to be faced to integrate these successfully and exploit their real potential in organizational health strategies.
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Lee, Kyunghwa, Sanghee Kim, Soo Hyun Kim, et al. "Digital Health Interventions for Adult Patients With Cancer Evaluated in Randomized Controlled Trials: Scoping Review." Journal of Medical Internet Research 25 (January 6, 2023): e38333. http://dx.doi.org/10.2196/38333.

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Background Digital care has become an essential component of health care. Interventions for patients with cancer need to be effective and safe, and digital health interventions must adhere to the same requirements. Objective The purpose of this study was to identify currently available digital health interventions developed and evaluated in randomized controlled trials (RCTs) targeting adult patients with cancer. Methods A scoping review using the JBI methodology was conducted. The participants were adult patients with cancer, and the concept was digital health interventions. The context was open, and sources were limited to RCT effectiveness studies. The PubMed, CINAHL, Embase, Cochrane Library, Research Information Sharing Service, and KoreaMed databases were searched. Data were extracted and analyzed to achieve summarized results about the participants, types, functions, and outcomes of digital health interventions. Results A total of 231 studies were reviewed. Digital health interventions were used mostly at home (187/231, 81%), and the web-based intervention was the most frequently used intervention modality (116/231, 50.2%). Interventions consisting of multiple functional components were most frequently identified (69/231, 29.9%), followed by those with the self-manage function (67/231, 29%). Web-based interventions targeting symptoms with the self-manage and multiple functions and web-based interventions to treat cognitive function and fear of cancer recurrence consistently achieved positive outcomes. More studies supported the positive effects of web-based interventions to inform decision-making and knowledge. The effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, health-related quality of life or quality of life, pain, physical activity, and sleep was subject to their type and function. A relatively small number of digital health interventions specifically targeted older adults (6/231, 2.6%) or patients with advanced or metastatic cancer (22/231, 9.5%). Conclusions This scoping review summarized digital health interventions developed and evaluated in RCTs involving adult patients with cancer. Systematic reviews of the identified digital interventions are strongly recommended to integrate digital health interventions into clinical practice. The identified gaps in digital health interventions for cancer care need to be reflected in future digital health research.
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Jackson, Jessica Eve, and Sophie Jackson. "Using digital interventions to encourage healthy eating." British Journal of Child Health 2, no. 6 (2021): 268–73. http://dx.doi.org/10.12968/chhe.2021.2.6.268.

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Background: YouTube content has become increasingly popular among children who are not only viewers but producers of this digital medium However, there is no research exploring the use of this medium to aid healthy behaviours. Aims: To evaluate how families responded to taking part in an online educational healthy eating intervention by creating YouTube-style digital vlogs. Methods: The intervention was delivered online to five families with child/ren aged between 6–16 years. Focus groups were conducted with the families after the intervention to explore their learning and experiences. Findings: The families indicated initial challenges in making the vlogs, however, there was evidence of child attitude change and sustained behavioural change as well as enhanced awareness for parents. The families produced vlogs which aimed to educate on and provide a challenge for healthy eating. Conclusions: This intervention shows great potential for delivering online public health interventions which engage the whole family in behavioural change.
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Gega, Lina, Dina Jankovic, Pedro Saramago, et al. "Digital interventions in mental health: evidence syntheses and economic modelling." Health Technology Assessment 26, no. 1 (2022): 1–182. http://dx.doi.org/10.3310/rcti6942.

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Background Economic evaluations provide evidence on whether or not digital interventions offer value for money, based on their costs and outcomes relative to the costs and outcomes of alternatives. Objectives (1) Evaluate and summarise published economic studies about digital interventions across different technologies, therapies, comparators and mental health conditions; (2) synthesise clinical evidence about digital interventions for an exemplar mental health condition; (3) construct an economic model for the same exemplar mental health condition using the previously synthesised clinical evidence; and (4) consult with stakeholders about how they understand and assess the value of digital interventions. Methods We completed four work packages: (1) a systematic review and quality assessment of economic studies about digital interventions; (2) a systematic review and network meta-analysis of randomised controlled trials on digital interventions for generalised anxiety disorder; (3) an economic model and value-of-information analysis on digital interventions for generalised anxiety disorder; and (4) a series of knowledge exchange face-to-face and digital seminars with stakeholders. Results In work package 1, we reviewed 76 economic evaluations: 11 economic models and 65 within-trial analyses. Although the results of the studies are not directly comparable because they used different methods, the overall picture suggests that digital interventions are likely to be cost-effective, compared with no intervention and non-therapeutic controls, whereas the value of digital interventions compared with face-to-face therapy or printed manuals is unclear. In work package 2, we carried out two network meta-analyses of 20 randomised controlled trials of digital interventions for generalised anxiety disorder with a total of 2350 participants. The results were used to inform our economic model, but when considered on their own they were inconclusive because of the very wide confidence intervals. In work package 3, our decision-analytic model found that digital interventions for generalised anxiety disorder were associated with lower net monetary benefit than medication and face-to-face therapy, but greater net monetary benefit than non-therapeutic controls and no intervention. Value for money was driven by clinical outcomes rather than by intervention costs, and a value-of-information analysis suggested that uncertainty in the treatment effect had the greatest value (£12.9B). In work package 4, stakeholders identified several areas of benefits and costs of digital interventions that are important to them, including safety, sustainability and reducing waiting times. Four factors may influence their decisions to use digital interventions, other than costs and outcomes: increasing patient choice, reaching underserved populations, enabling continuous care and accepting the ‘inevitability of going digital’. Limitations There was substantial uncertainty around effect estimates of digital interventions compared with alternatives. This uncertainty was driven by the small number of studies informing most comparisons, the small samples in some of these studies and the studies’ high risk of bias. Conclusions Digital interventions may offer good value for money as an alternative to ‘doing nothing’ or ‘doing something non-therapeutic’ (e.g. monitoring or having a general discussion), but their added value compared with medication, face-to-face therapy and printed manuals is uncertain. Clinical outcomes rather than intervention costs drive ‘value for money’. Future work There is a need to develop digital interventions that are more effective, rather than just cheaper, than their alternatives. Study registration This study is registered as PROSPERO CRD42018105837. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 1. See the NIHR Journals Library website for further project information.
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Marcu, Gabriela, Steven J. Ondersma, Allison N. Spiller, Brianna M. Broderick, Reema Kadri, and Lorraine R. Buis. "The Perceived Benefits of Digital Interventions for Behavioral Health: Qualitative Interview Study." Journal of Medical Internet Research 24, no. 3 (2022): e34300. http://dx.doi.org/10.2196/34300.

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Background Digital interventions have gained momentum in terms of behavioral health. However, owing to lacking standard approaches or tools for creating digital behavioral interventions, clinical researchers follow widely varying conceptions of how best to go about digital intervention development. Researchers also face significant cost-, time-, and expertise-related challenges in digital intervention development. Improving the availability of tools and guidance for researchers will require a thorough understanding of the motivations and needs of researchers seeking to create digital interventions. Objective This study aims to understand the perceptions of behavioral researchers toward digital interventions, and inform the use of these interventions, by documenting the reasons why researchers are increasingly focusing their efforts on digital interventions and their perspectives on the perceived benefits that digital approaches can provide for researchers and intervention recipients. Methods We conducted semistructured qualitative interviews with 18 researchers who had experience designing digital behavioral interventions or running studies with them. A convenience sample of interviewees was recruited from among users of the Computerized Intervention Authoring System platform, a web-based tool that facilitates the process of creating and deploying digital interventions in behavioral research. Interviews were conducted over teleconference between February and April 2020. Recordings from the interviews were transcribed and thematically analyzed by multiple coders. Results Interviews were completed with 18 individuals and lasted between 24 and 65 (mean 46.9, SD 11.3) minutes. Interviewees were predominantly female (17/18, 94%) and represented different job roles, ranging from researcher to project or study staff. Four major themes came out of the interviews concerning the benefits of digital interventions for behavioral health: convenience and flexibility for interventionists and recipients, support for implementing evidence-based interventions with fidelity, scaling and improving access to interventions, and getting a foot in the door despite stigma and disenfranchisement. Conclusions Interviewees described a number of important potential benefits of digital interventions, particularly with respect to scientific rigor, scalability, and overcoming barriers to reaching more people. There are complex considerations with regard to translating behavior change strategies into digital forms of delivery, and interventionists make individual, sometimes unexpected, choices with minimal evidence of their relative effectiveness. Future research should investigate how behavioral researchers can be supported in making these choices toward usability, ease of access, and approachability of digital interventions. Our study underscores the need for authoring platforms that can facilitate the process of creating and deploying digital interventions to reach their full potential for interventionists and recipients alike.
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Sui, Wuyou, and Danica Facca. "Digital health in a broadband land." Health Science Inquiry 11, no. 1 (2020): 140–43. http://dx.doi.org/10.29173/hsi294.

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The rapid rise and widespread integration of digital technologies (e.g., smartphones, personal computers) into the fabric of our society has birthed a modern means of delivering healthcare, known as digital health. Through leveraging the accessibility and ubiquity of digital technologies, digital health represents an unprecedented level of reach, impact, and scalability for healthcare interventions, known as digital behaviour change interventions (DBCIs). The potential benefits associated with employing DBCIs are of particular interest for populations that are disadvantaged to receiving traditional healthcare, such as rural populations. However, several factors should be considered before implementing a DBCI into a rural environment, notably, digital health literacy. Digital health literacy describes the skills necessary to successful navigate and utilize a digital health solution (e.g., DBCI). Given their limited access to high-speed internet, higher cost associated for similar services, and poorer development of information and communication technologies (ICTs), most rural populations likely report lower digital health literacy – specifically, computer literacy, the ability to utilize and leverage digital technologies to solve problems. Hence, DBCIs should address this ‘digital divide’ between urban and rural populations before implementation. Practical solutions could include evaluating rural communities’ access to ICTs, needs assessments with rural community members, as well as integrating rural community stakeholders into the design of digital literacy education and interventions.
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Katz, Miriam E., Reed Mszar, Alyssa A. Grimshaw, et al. "Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities." JAMA Network Open 7, no. 2 (2024): e2356070. http://dx.doi.org/10.1001/jamanetworkopen.2023.56070.

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ImportanceHypertension remains a leading factor associated with cardiovascular disease, and demographic and socioeconomic disparities in blood pressure (BP) control persist. While advances in digital health technologies have increased individuals’ access to care for hypertension, few studies have analyzed the use of digital health interventions in vulnerable populations.ObjectiveTo assess the association between digital health interventions and changes in BP and to characterize tailored strategies for populations experiencing health disparities.Data SourcesIn this systematic review and meta-analysis, a systematic search identified studies evaluating digital health interventions for BP management in the Cochrane Library, Ovid Embase, Google Scholar, Ovid MEDLINE, PubMed, Scopus, and Web of Science databases from inception until October 30, 2023.Study SelectionIncluded studies were randomized clinical trials or cohort studies that investigated digital health interventions for managing hypertension in adults; presented change in systolic BP (SBP) or baseline and follow-up SBP levels; and emphasized social determinants of health and/or health disparities, including a focus on marginalized populations that have historically been underserved or digital health interventions that were culturally or linguistically tailored to a population with health disparities. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline.Data Extraction and SynthesisTwo reviewers extracted and verified data. Mean differences in BP between treatment and control groups were analyzed using a random-effects model.Main Outcomes and MeasuresPrimary outcomes included mean differences (95% CIs) in SBP and diastolic BP (DBP) from baseline to 6 and 12 months of follow-up between digital health intervention and control groups. Shorter- and longer-term follow-up durations were also assessed, and sensitivity analyses accounted for baseline BP levels.ResultsA total of 28 studies (representing 8257 participants) were included (overall mean participant age, 57.4 years [range, 46-71 years]; 4962 [60.1%], female). Most studies examined multicomponent digital health interventions incorporating remote BP monitoring (18 [64.3%]), community health workers or skilled nurses (13 [46.4%]), and/or cultural tailoring (21 [75.0%]). Sociodemographic characteristics were similar between intervention and control groups. Between the intervention and control groups, there were statistically significant mean differences in SBP at 6 months (−4.24 mm Hg; 95% CI, −7.33 to −1.14 mm Hg; P = .01) and SBP changes at 12 months (−4.30 mm Hg; 95% CI, −8.38 to −0.23 mm Hg; P = .04). Few studies (4 [14.3%]) reported BP changes and hypertension control beyond 1 year.Conclusions and RelevanceIn this systematic review and meta-analysis of digital health interventions for hypertension management in populations experiencing health disparities, BP reductions were greater in the intervention groups compared with the standard care groups. The findings suggest that tailored initiatives that leverage digital health may have the potential to advance equity in hypertension outcomes.
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Boumparis, Nikolaos, Mieke H. J. Schulte, and Heleen Riper. "Digital Mental Health for Alcohol and Substance Use Disorders." Current Treatment Options in Psychiatry 6, no. 4 (2019): 352–66. http://dx.doi.org/10.1007/s40501-019-00190-y.

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Abstract Purpose Only about 20% of people suffering from substance use disorders access available treatments due to various obstacles; digital interventions could potentially overcome some of these. Meta-analyses suggest the strongest evidence for interventions targeting alcohol use reduction, followed by cannabis and illicit substances. However, most randomized controlled trials (RCTs) used unguided standalone interventions compared to non-active controls, with limited follow-up periods and disregarded comorbidity. This review examines the literature published over the last three years (2016–2019), with a focus on recent RCTs and whether they addressed some of these gaps. Recent findings Except for digital interventions targeting alcohol use, the number of RCTs in the last three years is limited. Although there is considerable heterogeneity between the studies, most of them applied unguided add-on interventions compared to active control groups, and a limited number investigated guided interventions. In addition, there is a need for longer follow-up periods, active rather than non-active control groups, outcome standardization, and increased focus on comorbidity. Summary Although the number of studies using guided add-on or blended interventions compared to active controls has increased, future studies should consider our identified gaps and suggestions to further strengthen the evidence of digital interventions for reducing the use of alcohol and other substances.
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Peiris-John, Roshini, Lovely Dizon, Kylie Sutcliffe, Kristy Kang, and Theresa Fleming. "Co-creating a large-scale adolescent health survey integrated with access to digital health interventions." DIGITAL HEALTH 6 (January 2020): 205520762094796. http://dx.doi.org/10.1177/2055207620947962.

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Aim This paper describes how we engaged with adolescents and health providers to integrate access to digital health interventions as part of a large-scale secondary school health and wellbeing survey in New Zealand. Methods We conducted nine participatory, iterative co-design sessions involving 29 adolescents, and two workshops with young people (n = 11), digital and health service providers (n = 11) and researchers (n = 9) to gain insights into end-user perspectives on the concept and how best to integrate digital interventions in to the survey. Results Students’ perceived integrating access to digital health interventions into a large-scale youth health survey as acceptable and highly beneficial. They did not want personalized/normative feedback, but thought that every student should be offered all the help options. Participants identified key principles: assurance of confidentiality, usability, participant choice and control, and language. They highlighted wording as important for ease and comfort, and emphasised the importance of user control. Participants expressed that it would be useful and acceptable for survey respondents to receive information about digital help options addressing a range of health and wellbeing topics. Conclusion The methodology of adolescent-practitioner-researcher collaboration and partnership was central to this research and provided useful insights for the development and delivery of adolescent health surveys integrated with digital help options. The results from the ongoing study will provide useful data on the impact of digital health interventions integrated in large-scale surveys, as a novel methodology. Future research on engaging with adolescents once interventions are delivered will be useful to explore benefits over time.
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Erku, Daniel, Resham Khatri, Aklilu Endalamaw, et al. "Digital Health Interventions to Improve Access to and Quality of Primary Health Care Services: A Scoping Review." International Journal of Environmental Research and Public Health 20, no. 19 (2023): 6854. http://dx.doi.org/10.3390/ijerph20196854.

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Global digital technology advances offer the potential to enhance primary health care (PHC) quality, reach, and efficiency, driving toward universal health coverage (UHC). This scoping review explored how digital health solutions aid PHC delivery and UHC realization by examining the context, mechanisms, and outcomes of eHealth interventions. A comprehensive literature search was conducted, capturing qualitative and quantitative studies, process evaluations, and systematic or scoping reviews. Our analysis of 65 articles revealed that a well-functioning digital ecosystem—featuring adaptable, interoperable digital tools, robust Information and Communications Technology foundations, and enabling environments—is pivotal for eHealth interventions’ success. Facilities with better digital literacy, motivated staff, and adequate funding demonstrated a higher adoption of eHealth technologies, leading to improved, coordinated service delivery and higher patient satisfaction. However, eHealth’s potential is often restricted by existing socio-cultural norms, geographical inequities in technology access, and digital literacy disparities. Our review underscores the importance of considering the digital ecosystem’s readiness, user behavior, broader health system requirements, and PHC capacity for adopting digital solutions while assessing digital health interventions’ impact.
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Bober, Timothy, Bruce L. Rollman, Steven Handler, et al. "Digital Health Readiness: Making Digital Health Care More Inclusive." JMIR mHealth and uHealth 12 (October 9, 2024): e58035. http://dx.doi.org/10.2196/58035.

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This paper proposes an approach to assess digital health readiness in clinical settings to understand how prepared, experienced, and equipped individual people are to participate in digital health activities. Existing digital health literacy and telehealth prediction tools exist but do not assess technological aptitude for particular tasks or incorporate available electronic health record data to improve efficiency and efficacy. As such, we propose a multidomain digital health readiness assessment that incorporates a person’s stated goals and motivations for use of digital health, a focused digital health literacy assessment, passively collected data from the electronic health record, and a focused aptitude assessment for critical skills needed to achieve a person’s goals. This combination of elements should allow for easy integration into clinical workflows and make the assessment as actionable as possible for health care providers and in-clinic digital health navigators. Digital health readiness profiles could be used to match individuals with support interventions to promote the use of digital tools like telehealth, mobile apps, and remote monitoring, especially for those who are motivated but do not have adequate experience. Moreover, while effective and holistic digital health readiness assessments could contribute to increased use and greater equity in digital health engagement, they must also be designed with inclusivity in mind to avoid worsening known disparities in digital health care.
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Tremain, Hailey, Carla McEnery, Kathryn Fletcher, and Greg Murray. "The Therapeutic Alliance in Digital Mental Health Interventions for Serious Mental Illnesses: Narrative Review." JMIR Mental Health 7, no. 8 (2020): e17204. http://dx.doi.org/10.2196/17204.

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Background Digital mental health interventions offer unique advantages, and research indicates that these interventions are effective for a range of mental health concerns. Although these interventions are less established for individuals with serious mental illnesses, they demonstrate significant promise. A central consideration in traditional face-to-face therapies is the therapeutic alliance, whereas the nature of a digital therapeutic alliance and its relationship with outcomes requires further attention, particularly for individuals with serious mental illnesses. Objective This narrative review aims to encourage further consideration and critical evaluation of the therapeutic alliance in digital mental health, specifically for individuals with serious mental illnesses. Methods A narrative review was conducted by combining 3 main areas of the literature: the first examining the evidence for digital mental health interventions for serious mental illnesses, the second illuminating the nature and role of the therapeutic alliance in digital interventions, and the third surrounding practical considerations to enhance a digital therapeutic alliance. Results Results indicated that a therapeutic alliance can be cultivated in digital interventions for those with serious mental illnesses, but that it may have unique, yet-to-be-confirmed characteristics in digital contexts. In addition, a therapeutic alliance appears to be less directly associated with outcomes in digital interventions than with those in face-to-face therapies. One possibility is that the digital therapeutic alliance is associated with increased engagement and adherence to digital interventions, through which it appears to influence outcomes. A number of design and implementation considerations may enhance the digital therapeutic alliance, including human support and technological features. Conclusions More research is required to further understand the nature and specific role of a therapeutic alliance in digital interventions for serious mental illnesses, particularly in informing their design. This review revealed several key research priorities to advance the therapeutic alliance in digital interventions.
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Roy, Adrija. "IJCM_214A: Digital interventions for childhood malnutrition in a tribal area of Andhra Pradesh: Understanding the problem through a health system perspective." Indian Journal of Community Medicine 49, Suppl 1 (2024): S62. http://dx.doi.org/10.4103/ijcm.ijcm_abstract214.

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Background: Childhood malnutrition is a major public health concern in the tribal areas of Andhra Pradesh, India, particularly in the region of ITDA Rampachodavaram. The integration and effectiveness of digital health interventions in these underserved regions are vital for addressing this endemic issue. However, the unique challenges posed by the remote and resource- limited settings of tribal areas make the implementation of such interventions particularly complex. Moreover, the varying complexity of the digital health ecosystem in these areas adds another layer of concern to deploying digital health solutions. Objectives: 1. To explore digital health interventions related to childhood malnutrition in the Integrated Tribal Development Agency (ITDA) of Rampachodavaram. 2. To understand the dynamics of the local health system and the digital health ecosystem in the implementation of these interventions. 3. To examine the role of street-level bureaucrats in implementing digital interventions and identify the barriers and facilitators affecting this process Methodology: The research was conducted in ITDA Rampachodavaram, involving interviews with health system officials and Focus Group Discussions (FGDs) with frontline health workers. The Health System Dynamics (HSD) framework and Lipsky’s theory on street-level bureaucrats were utilized, and enriched with insights into the digital health ecosystem. Results: The study reveals significant systemic, contextual, and human factors influencing the implementation of digital health interventions. Challenges include the complex role of street-level bureaucrats and systemic barriers like inadequate training, technological limitations, and disparities in digital access and literacy. Conclusion: This study highlights the potential of digital health interventions in improving childhood malnutrition outcomes in tribal areas. It stresses the importance of adaptive, inclusive strategies and advocates for digital health equity. Empowering frontline health workers and tailoring interventions to the specific health system dynamics and digital ecosystem of tribal regions are key for effective implementation.
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Graham, Andrea K., Emily G. Lattie, Byron J. Powell, et al. "Implementation strategies for digital mental health interventions in health care settings." American Psychologist 75, no. 8 (2020): 1080–92. http://dx.doi.org/10.1037/amp0000686.

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McNamee, Paul, Elizabeth Murray, Michael P. Kelly, et al. "Designing and Undertaking a Health Economics Study of Digital Health Interventions." American Journal of Preventive Medicine 51, no. 5 (2016): 852–60. http://dx.doi.org/10.1016/j.amepre.2016.05.007.

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Oluokun, Emmanuel Oluwatosin, Festus Fatai Adedoyin, Huseyin Dogan, and Nan Jiang. "Digital Interventions for Managing Medication and Health Care Service Delivery in West Africa: Systematic Review." Journal of Medical Internet Research 26 (October 9, 2024): e44294. http://dx.doi.org/10.2196/44294.

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Background As a result of the recent advancements in technology, the incorporation of digital interventions into the health care system has gained a lot of attention and adoption globally. However, these interventions have not been fully adopted, thereby limiting their impact on health care delivery in West Africa. Objective This review primarily aims at evaluating the current digital interventions for medication and health care delivery in West Africa. Its secondary aim is to assess the impacts of digital interventions in managing medication and health care service delivery with the intent of providing vital recommendations that would contribute to an excellent adoption of digital intervention tools in the health care space in West Africa. Methods In line with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), a comprehensive search through various databases yielded 529 results. After a rigorous screening, 29 articles that provided information on 3 broad digital health intervention tools were found eligible for this review. Results Out of 29 studies, 16 (55%) studies examined phone-based interventions, 9 (31%) studies focused on tele- and e-based interventions, and 4 (14%) studies evaluated digital interventions. These interventions were used for diverse purposes, some of which are monitoring adverse drug reactions, general health, sexual and reproductive health, and training of health care practitioners. The phone-based intervention appears to be the most known and impactful of all the interventions, followed by tele- and e-based, while digital interventions were scarcely used. Conclusions Digital interventions have had a considerable level of impact on medication and health care delivery across West Africa. However, the overall impact is limited. Therefore, strategies must be developed to address the challenges limiting the use of digital intervention tools so that these tools can be fully incorporated into the health care space in West Africa.
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Wu, Kevin A., Sameer Kunte, Shashank Rajkumar, et al. "Digital Health for Patients Undergoing Cardiac Surgery: A Systematic Review." Healthcare 11, no. 17 (2023): 2411. http://dx.doi.org/10.3390/healthcare11172411.

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Digital health interventions have shown promise in improving patient outcomes and experiences in various healthcare settings. However, their effectiveness in the context of cardiac surgery remains uncertain. This systematic review aims to evaluate the existing evidence on the use of digital health interventions for patients undergoing cardiac surgery. A comprehensive search of PubMed MEDLINE, Elsevier EMBASE, Elsevier Scopus databases, and ClinicalTrials.gov was conducted to identify relevant studies published up to the present. Studies that examined the effects of digital health interventions, including mobile applications and web-based interventions, on perioperative care and patient outcomes in cardiac surgery were included. The data were extracted and synthesized to provide a comprehensive overview of the findings. The search yielded 15 studies composed of 4041 patients, analyzing the feasibility and implementation of mobile or internet applications for patients undergoing cardiac surgery. The studies included the use of mobile applications (ManageMySurgery, SeamlessMD, mHeart, Telediaglog, ExSed, Soulage Tavie, Heart Health application, and Mayo Clinic Health Connection) and web-based interventions (Heartnet and Active Heart). The findings indicated that these digital health interventions were associated with improved patient engagement, satisfaction, and reduced healthcare utilization. Patients reported finding the interventions helpful in their recovery process, and there was evidence of enhanced symptom monitoring and timely intervention. The completion rates of modules varied depending on the phase of care, with higher engagement observed during the acute phase. Interest in using digital health applications was expressed by patients, regardless of age, gender, or complexity of the cardiac defect. The results demonstrated that web-based interventions resulted in improvements in mental health, quality of life, and eHealth literacy. This systematic review highlights the potential benefits of digital health interventions in the context of cardiac surgery. Further research, including randomized controlled trials, is needed to establish the effectiveness, feasibility, and generalizability of digital health interventions in cardiac surgery.
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Park, Taehwan, Jagannath Muzumdar, and Hyemin Kim. "Digital Health Interventions by Clinical Pharmacists: A Systematic Review." International Journal of Environmental Research and Public Health 19, no. 1 (2022): 532. http://dx.doi.org/10.3390/ijerph19010532.

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Integrating digital interventions in healthcare has gained increasing popularity among clinical pharmacists (CPs) due to advances in technology. The purpose of this study was to systematically review CP-led digital interventions to improve patients’ health-related clinical outcomes. PubMed and the Cochrane Database were searched to select studies that had conducted a randomized controlled trial to evaluate clinical outcomes in adults following a CP-led digital intervention for the period from January 2005 to August 2021. A total of 19 studies were included in our analysis. In these 19 studies, the most commonly used digital intervention by CPs was telephone use (n = 15), followed by a web-based tool (n = 2) and a mobile app (n = 2). These interventions were provided to serve a wide range of purposes in patients’ outcomes: change in lab values (e.g., blood pressure, HbA1c) (n = 23), reduction in health service use (n = 8), enhancing adherence (n = 6), improvement in drug-related outcomes (n = 6), increase in survival (n = 3), and reduction in health-related risk (e.g., CVD risk) (n = 2). Although the impacts of telephone-based interventions on patients’ outcomes were decidedly mixed, web-based interventions and mobile apps exerted generally positive influences. To date, little research has investigated the cost-effectiveness of digital interventions. Future studies are warranted.
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França, Cíntia, Francisco Santos, Francisco Martins, et al. "Digital Health in Schools: A Systematic Review." Sustainability 14, no. 21 (2022): 13848. http://dx.doi.org/10.3390/su142113848.

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Worldwide, the growing digitalization process and increase in smartphone usage have contributed to promoting mobile health (mHealth) services. This study provides an overview of the research targeting the effectiveness of mHealth interventions among children and adolescents in the school environment. A systematic literature review was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) in the PubMed, Web of Science, and Scopus databases. The results show that physical activity and nutrition are the main intervention topics. Health literacy, mental health, productive health, vaccination rates, and social interaction were also considered in mHealth interventions. Of the 13 studies that remained for analysis, 12 described positive outcomes in at least one health variable after using an mHealth tool. Overall, interventions ranged between four and 24 weeks. Only seven studies managed to have at least 80% of the participants from the baseline until completion. Adding personal information, user interaction, and self-reference comparisons of performance seems crucial for designing successful health digital tools for school-aged children and adolescents.
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Devine, Katie A., Adrienne S. Viola, Elliot J. Coups, and Yelena P. Wu. "Digital Health Interventions for Adolescent and Young Adult Cancer Survivors." JCO Clinical Cancer Informatics, no. 2 (December 2018): 1–15. http://dx.doi.org/10.1200/cci.17.00138.

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This narrative review describes the evidence regarding digital health interventions targeting adolescent and young adult (AYA) cancer survivors. We reviewed the published literature for studies involving Internet, mHealth, social media, telehealth, and other digital interventions for AYA survivors. We highlight selected studies to illustrate the state of the research in this unique patient population. Interventions have used various digital modalities to improve health behaviors (eg, physical activity, nutrition, tobacco cessation), enhance emotional well-being, track and intervene on cancer-related symptoms, and improve survivorship care delivery. The majority of studies have demonstrated feasibility and acceptability of digital health interventions for AYA survivors, but few efficacy studies have been conducted. Digital health interventions are promising to address unmet psychosocial and health information needs of AYA survivors. Researchers should use rigorous development and evaluation methods to demonstrate the efficacy of these approaches to improve health outcomes for AYA survivors.
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