Elsevier eBooks, Journal Year: 2022, Volume and Issue: unknown, P. 65 - 77
Published: Sept. 30, 2022
Language: Английский
Annals of Behavioral Medicine, Journal Year: 2023, Volume and Issue: 57(10), P. 817 - 835
Published: Aug. 25, 2023
Abstract Background Despite an abundance of digital health interventions (DHIs) targeting the prevention and management noncommunicable diseases (NCDs), it is unclear what specific components make a DHI effective. Purpose This narrative umbrella review aimed to identify most effective behavior change techniques (BCTs) in DHIs that address or NCDs. Methods Five electronic databases were searched for articles published English between January 2007 December 2022. Studies included if they systematic reviews meta-analyses modification one more NCD-related risk factors adults. BCTs coded using Behavior Change Technique Taxonomy v1. Study quality was assessed AMSTAR 2. Results Eighty-five articles, spanning 12 domains comprising over 865,000 individual participants, review. We found evidence are improving outcomes patients with cardiovascular disease, cancer, type 2 diabetes, asthma, health-related behaviors including physical activity, sedentary behavior, diet, weight management, medication adherence, abstinence from substance use. There strong suggest credible source, social support, prompts cues, graded tasks, goals planning, feedback monitoring, human coaching personalization increase effectiveness Conclusions identifies common used DHIs, which warrant prioritization integration into future interventions. These findings critical development upscaling should inform best practice guidelines.
Language: Английский
Citations
46
JMIR Human Factors, Journal Year: 2023, Volume and Issue: 10, P. e45143 - e45143
Published: Feb. 27, 2023
Technological advancements have opened the path for many technology providers to easily develop and introduce eHealth tools public. The use of these is increasingly recognized as a critical quality driver in health care; however, choosing tool from myriad available specific need does not come without challenges.This review aimed systematically investigate literature understand different approaches criteria used assess impact by considering sociotechnical factors (from technical, social, organizational perspectives).A structured search was completed following participants, intervention, comparators, outcomes framework. We searched PubMed, Cochrane, Web Science, Scopus, ProQuest databases studies published between January 2012 2022 English, which yielded 675 results, 40 (5.9%) met inclusion criteria. PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses) guidelines Cochrane Handbook Interventions were followed ensure systematic process. Extracted data analyzed using NVivo (QSR International), with thematic analysis narrative synthesis emergent themes.Similar measures papers, frameworks, initiatives aggregated into 36 unique grouped 13 clusters. Using approach, we classified relevant assessment Technical 5 clusters: technical aspects, functionality, content, management, design. Social 4 human centricity, outcomes, visible popularity metrics, social aspects. Organizational sustainability scalability, care organization, context, developer.This builds on growing body research that investigates highlights complexity challenges facing initiatives. It demonstrates there no single framework uniformly tools. also more comprehensive approach balances organizational, way reflects interdependence ecosystem aligned affecting users' adoption uptake adherence long term.
Language: Английский
Citations
33
npj Digital Medicine, Journal Year: 2024, Volume and Issue: 7(1)
Published: June 3, 2024
Abstract Digital twins represent a promising technology within the domain of precision healthcare, offering significant prospects for individualized medical interventions. Existing systematic reviews, however, mainly focus on technological dimensions digital twins, with limited exploration their impact health-related outcomes. Therefore, this review aims to explore efficacy in improving healthcare at population level. The literature search study encompassed PubMed, Embase, Web Science, Cochrane Library, CINAHL, SinoMed, CNKI, and Wanfang Database retrieve potentially relevant records. Patient outcomes were synthesized employing quantitative content analysis, whereas Joanna Briggs Institute (JBI) scales used evaluate quality potential bias inherent each selected study. Following established inclusion exclusion criteria, 12 studies screened from an initial 1321 records further analysis. These included patients various conditions, including cancers, type 2 diabetes, multiple sclerosis, heart failure, qi deficiency, post-hepatectomy liver dental issues. coded three types interventions: personalized health management, individual therapy effects, predicting risk, leading total 45 being measured. collective effectiveness these level was calculated 80% (36 out 45). No exhibited unacceptable differences quality. Overall, demonstrates practical advantages, warranting its expanded use facilitate transition development phase broad application. PROSPERO registry: CRD42024507256.
Language: Английский
Citations
16
Frontiers in Digital Health, Journal Year: 2023, Volume and Issue: 5
Published: May 10, 2023
Non-communicable diseases (NCDs) and common mental disorders (CMDs) are the leading causes of death disability worldwide. Lifestyle interventions
Language: Английский
Citations
16
Advances in Nutrition, Journal Year: 2023, Volume and Issue: 14(5), P. 983 - 994
Published: July 5, 2023
Nearly all approaches to personalized nutrition (PN) use information such as the gene variants of individuals deliver advice that is more beneficial than a generic "1-size-fits-all" recommendation. Despite great enthusiasm and increased availability commercial services, thus far, scientific studies have only revealed small negligible effects on efficacy effectiveness dietary recommendations, even when using genetic or other individual information. In addition, from public health perspective, scholars are critical PN because it primarily targets socially privileged groups rather general population, thereby potentially widening inequality. Therefore, in this we propose extend current by creating adaptive systems (APNASs) tailored type timing for needs, capacities, receptivity real-life food environments. These encompass broadening goals (i.e., what should be achieved) incorporate "individual goal preferences" beyond currently advocated biomedical (e.g., making sustainable choices). Moreover, they cover "personalization processes behavior change" providing situ, "just-in-time" environments (how change), which accounts capacities constraints economic resources). Finally, concerned with "participatory dialog between experts" actual virtual dieticians, nutritionists, advisors) setting deriving measures adaption. Within framework, emerging digital ecosystems enable continuous, real-time monitoring, advice, support exposure consumption. We present vision novel framework along scenarios arguments describe its potential efficiently address population needs target would benefit most implementation.
Language: Английский
Citations
13
EBioMedicine, Journal Year: 2024, Volume and Issue: 103, P. 105091 - 105091
Published: April 5, 2024
BackgroundSelf-management is pivotal in addressing noncommunicable diseases, such as diabetes. The increased availability of digital behaviour change interventions (DBCIs) delivered through mobile health apps offers unprecedented opportunities to enhance self-management and improve outcomes. However, little known about the characteristics DBCIs for diabetes that significantly impact glycaemic control. Therefore, our systematic review with meta-analysis aimed summarize components explore potential associations metabolic outcomes.MethodsA search was conducted PubMed, Embase, Cochrane Central Register Controlled Trials, Scopus identify randomized controlled trials published until November 2023. main outcome variable mean difference HbA1c levels between baseline follow-up across intervention control groups. Random-effects meta-regression used variation a function prespecified study designs app interventions.FindingsA total 57 studies included analysis, showing statistically significant percentage point reduction group compared arm (−0.36, 95% CI = −0.46 −0.26, p < 0.001). inclusion "self-monitoring behaviour" technique (β −0.22, 0.04) "taking medication" target −0.20, 0.05) associated improved outcomes.InterpretationOur analyses endorse use apps, highlighting effectiveness guiding design more effective DBCIs.FundingThis project received funding from European Union's Horizon 2020 programme.
Language: Английский
Citations
5
JMIR Cancer, Journal Year: 2024, Volume and Issue: 10, P. e52386 - e52386
Published: May 31, 2024
Background Mobile health (mHealth) apps offer unique opportunities to support self-care and behavior change, but poor user engagement limits their effectiveness. This is particularly true for fully automated mHealth without any human support. Human in associated with better at the cost of reduced scalability. Objective work aimed (1) describe theory-informed development a relaxation mindfulness app reduce distress people cancer (CanRelax 2.0), (2) on multiple levels within randomized controlled trial over 10 weeks, (3) examine whether was related characteristics. Methods The CanRelax 2.0 developed iterative processes involving input from relevant experts. includes evidence-based exercises, personalized weekly coaching sessions rule-based conversational agent, 39 self-enactable change techniques, self-monitoring dashboard gamification elements, highly tailored reminder notifications, an educational video clip, in-app letters. For larger study, German-speaking adults diagnosed last 5 years were recruited via web Switzerland, Austria, Germany. Engagement analyzed sample 100 study participants measures micro level (completed sessions, exercises practiced app, feedback app) macro (relaxation self-efficacy toward self-set goals). Results In week 10, total 62% (62/100) actively using 2.0. No associations identified between baseline, sex assigned birth, attainment, or age. At level, 71.88% (3520/4897) all 714 completed who provided (52/100, 52%) expressed positive experiences. 28.12% (1377/4897) participants’ remained stable high level. same time, raised goals, which indicates potential relative increase self-efficacy. Conclusions achieved promising even though it no Fully social components might have compensated lack involvement should be investigated further. More than one-quarter (1377/4897, 28.12%) highlighting importance assessing levels.
Language: Английский
Citations
4
Advances in Nutrition, Journal Year: 2025, Volume and Issue: unknown, P. 100421 - 100421
Published: April 1, 2025
Food-as-Medicine (FAM) is an emerging trend among medical doctors, health insurers, startups, and governmental public-health non-governmental organizations. FAM implies using food as a part of individual's plan to prevent or help treat acute chronic conditions diseases. We highlight trends hurdles in the intervention pyramid. Our viewpoint indicate how interventions might change future demand for specific groups, their transport supply chains, technologies used process them. Based on national guidelines, dietary can many diseases, including cardiovascular disease, cancers, type 2 diabetes, obesity. R&D services offer more individualized treatments. This challenging given inter-individual variability complexity body's response related factors, such habits, genetics, lifestyle, biosphere. Quantifying improvements essential prove added value compared adopting general healthy diet. It unclear which level individualization produces largest benefits at lowest costs patient, healthcare system, climate. support complement conventional treatment. They will require shift producing health-promoting foods, whole minimally-processed selected processed foods. The processing industry chains must adapt these new scenarios. Auxiliary methods are enablers, delivery services, wearable technology, health-monitoring apps, data-driven consumer behavior analysis.
Language: Английский
Citations
0
Lifestyle Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 325 - 348
Published: Jan. 1, 2025
Citations
0
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: May 24, 2025
Language: Английский
Citations
0