Assessing Digital Phenotyping for App Recommendations and Sustained Engagement: A Pilot Study (Preprint) DOI Creative Commons
Bridget Dwyer, Matthew Flathers, James A. Burns

et al.

Published: May 29, 2024

BACKGROUND Low engagement with mental health apps continues to limit their impact. New approaches help match patients the right app may increase by ensuring they are using is best suited needs. OBJECTIVE This study aims pilot how digital phenotyping, data from smartphone sensors infer symptom, behavioral, and functional outcomes, could be used people potentially METHODS After 1 week of collecting phenotyping mindLAMP (Beth Israel Deaconess Medical Center), participants were randomly assigned arm, receiving feedback recommendations based on those select 4 predetermined (related mood, anxiety, sleep, fitness), or control selecting same but without any recommendations. All selected for weeks numerous metrics recorded, including objective screentime measures, self-reported Digital Working Alliance Inventory scores. RESULTS A total 82 enrolled in study; 17 (21%) dropped out arm 18 (22%) arm. Across both groups, few chose recommended insomnia fitness app. The majority (39/47, 83%) a depression anxiety Engagement as measured screen time scores higher There was no correlation between use. Qualitative results highlighted importance habit formation sustained CONCLUSIONS suggest that recommendation feasible engagement. approach generalizable other beyond use this pilot, practical real-world given conducted compensation external incentives have biased results. Advances will likely make method more personalized thus even greater interest.

Language: Английский

Online dissemination of Cochrane reviews on digital health technologies: a cross-sectional study DOI Creative Commons
Karina Karolina De Santis,

Mathia Kirstein,

Christina Kien

et al.

Systematic Reviews, Journal Year: 2024, Volume and Issue: 13(1)

Published: May 15, 2024

Abstract Background This cross-sectional study investigated the online dissemination of Cochrane reviews on digital health technologies. Methods We searched Database Systematic Reviews from inception up to May 2023. with any population (P), intervention or concept supported by technology (I), no comparison (C), and outcome (O) were included. Data review characteristics (bibliographic information, PICO, evidence quality) strategies extracted processed. Dissemination was assessed using information website Altmetric data that trace mentions academic publications in nonacademic channels. analysed descriptive statistics binary logistic regression analysis. Results Out 170 records identified search, 100 reviews, published between 2005 2023, The focused consumers (e.g. patients, n = 86), people age ( 44), clinical populations 68). All addressed interventions concepts technologies devices 73), mobile 17), computers 10). outcomes disease treatment 56), promotion prevention 27), management care delivery 17). included 1–132 studies, half 1–10 studies. Meta-analysis performed 69 certainty rated as high moderate for at least one 46 reviews. In agreement guidelines, all had a plain language summary (PLS) available 3–14 languages. disseminated (i.e. mentioned online) predominantly via X/Twitter 99) Facebook 69). Overall, 51 25% 49 5% research outputs traced data. higher scores) associated bibliographic earlier publication year PLS more languages), but not quality rating, number meta-analysis review). Conclusions Online attention towards is high. older translations. Measures are required improve based quality. registration prospectively registered Open Science Framework https://osf.io/mpw8u/ ).

Language: Английский

Citations

5
Needs and Preferences for Digitally Promoting Mental Health Literacy, Occupational Balance, and Peer Support among Swedish Young Adults: A Qualitative Interview Study (Preprint) DOI Creative Commons
M. Bäckström, Sonya Girdler, Benjamin Milbourn

et al.

JMIR Formative Research, Journal Year: 2025, Volume and Issue: 9, P. e71563 - e71563

Published: May 5, 2025

Background Young adults experience stressors in their transition to adulthood and are at increased risk of mental ill-health. This is compounded by young adults’ low levels health literacy limited competencies implementing strategies promoting well-being daily lives. Previous research suggests that digital apps may be particularly effective increasing the adults. In Sweden, there a lack on unique perspectives what constitutes health, well-being, ill-health—perspectives could inform coproduction evidence-based interventions targeting these issues. Objective The overarching aim this study was conduct needs assessment as part coproducing app for Swedish More specifically, addressed two questions: (1) What do perceive contributing ill-health themselves peers? (2) preferences ideas how can support during adulthood, including app’s usability? Methods We conducted semistructured interviews with 16 analyzed data using reflexive thematic analysis. Results Of participants, 9 (56%) identified women 7 (44%) men. Their mean age 23.6 (SD 4.22; range 18-29) years. Furthermore, 56% (9/16) were pursuing or had obtained higher education degree, while 44% (7/16) completed process completing high school diploma. subsequent analysis revealed three main themes: “To feel life worth living”—pathways through pressures pursuit “A personal space working one’s own well-being”—digital companionship others, (3) “Something designed me”—customizing journey. Conclusions line adults, promotion technology eHealth should focus customizable supports balance strengthening competencies. content center fostering maintaining meaningful relationships activities, addressing challenges such negative social media use stress recovery, enhancing knowledge peer support. Future efforts researching experiences phase emerging its implications health. addition, future technical development include stakeholders, professionals, involve prototype testing diverse groups ensure relevance, user engagement, effectiveness.

Language: Английский

Citations

0
Adoption of Digital Therapeutics in Europe DOI Creative Commons

Amelie Fassbender,

Shaantanu Donde,

Mitchell Silva

et al.

Therapeutics and Clinical Risk Management, Journal Year: 2024, Volume and Issue: Volume 20, P. 939 - 954

Published: Dec. 1, 2024

Digital therapeutics (DTx) are an emerging medical therapy comprising evidence-based interventions that regulatory approved for patient use, or under development, a variety of conditions, including hypertension, cancer, substance use disorders and mental disorders. DTx have significant potential to reduce the overall burden on healthcare systems offer economic benefits. There is currently no specific legal regulation in EU. Although European countries similar approaches digital health solutions, adoption varies across continent. The aim this narrative review discuss levels Europe, explore possible strategies improve adoption, with goal higher rates more consistent article discusses reimbursement landscape Europe; validation requirements DTx, importance co-design ecosystem-centric approach development DTx. Also considered drivers prescription practices as well perspectives these therapeutics. explores factors may contribute low lack harmonisation reimbursement; sociodemographic factors; status; ethical concerns; challenges surrounding AI; knowledge awareness among professionals (HCPs) patients, data standards interoperability. Efforts access Europe described. Finally, framework improved uptake proposed.

Language: Английский

Citations

2
Experience of choice of treatment for adults with depression: a systematic review and meta-synthesis of qualitative research DOI Creative Commons
Odette Megnin‐Viggars,

Katriona O’Donoghue,

Stephen Pilling

et al.

Journal of Mental Health, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Sept. 18, 2024

Treatment choices for depression are preference-sensitive (no "single best option"). However, factors or attributes that can enhance inhibit patient choice have not been fully explored.

Language: Английский

Citations

1
Assessing Digital Phenotyping for App Recommendations and Sustained Engagement: A Pilot Study (Preprint) DOI Creative Commons
Bridget Dwyer, Matthew Flathers, James A. Burns

et al.

JMIR Formative Research, Journal Year: 2024, Volume and Issue: 8, P. e62725 - e62725

Published: Sept. 20, 2024

Background Low engagement with mental health apps continues to limit their impact. New approaches help match patients the right app may increase by ensuring they are using is best suited needs. Objective This study aims pilot how digital phenotyping, data from smartphone sensors infer symptom, behavioral, and functional outcomes, could be used people potentially Methods After 1 week of collecting phenotyping mindLAMP (Beth Israel Deaconess Medical Center), participants were randomly assigned arm, receiving feedback recommendations based on those select 4 predetermined (related mood, anxiety, sleep, fitness), or control selecting same but without any recommendations. All selected for weeks numerous metrics recorded, including objective screentime measures, self-reported Digital Working Alliance Inventory scores. Results A total 82 enrolled in study; 17 (21%) dropped out arm 18 (22%) arm. Across both groups, few chose recommended insomnia fitness app. The majority (39/47, 83%) a depression anxiety Engagement as measured screen time scores higher There was no correlation between use. Qualitative results highlighted importance habit formation sustained Conclusions suggest that recommendation feasible engagement. approach generalizable other beyond use this pilot, practical real-world given conducted compensation external incentives have biased results. Advances will likely make method more personalized thus even greater interest.

Language: Английский

Citations

1
Assessing Digital Phenotyping for App Recommendations and Sustained Engagement: A Pilot Study (Preprint) DOI Creative Commons
Bridget Dwyer, Matthew Flathers, James A. Burns

et al.

Published: May 29, 2024

BACKGROUND Low engagement with mental health apps continues to limit their impact. New approaches help match patients the right app may increase by ensuring they are using is best suited needs. OBJECTIVE This study aims pilot how digital phenotyping, data from smartphone sensors infer symptom, behavioral, and functional outcomes, could be used people potentially METHODS After 1 week of collecting phenotyping mindLAMP (Beth Israel Deaconess Medical Center), participants were randomly assigned arm, receiving feedback recommendations based on those select 4 predetermined (related mood, anxiety, sleep, fitness), or control selecting same but without any recommendations. All selected for weeks numerous metrics recorded, including objective screentime measures, self-reported Digital Working Alliance Inventory scores. RESULTS A total 82 enrolled in study; 17 (21%) dropped out arm 18 (22%) arm. Across both groups, few chose recommended insomnia fitness app. The majority (39/47, 83%) a depression anxiety Engagement as measured screen time scores higher There was no correlation between use. Qualitative results highlighted importance habit formation sustained CONCLUSIONS suggest that recommendation feasible engagement. approach generalizable other beyond use this pilot, practical real-world given conducted compensation external incentives have biased results. Advances will likely make method more personalized thus even greater interest.

Language: Английский

Citations

0