The impact of therapeutic persuasiveness on engagement and outcomes in unguided interventions: A randomized pilot trial of a digital parent training program for child behavior problems DOI Creative Commons
Amit Baumel,

Or Brandes,

Håvar Brendryen

et al.

Internet Interventions, Journal Year: 2023, Volume and Issue: 34, P. 100680 - 100680

Published: Oct. 4, 2023

Understanding how to design engaging unguided digital health interventions is key in our ability utilize tools improve access care. Therapeutic persuasiveness (TP) a concept that relates the intervention features as whole should be designed encourage users make positive changes their lives, while reducing experienced effort required from them engage these activities. In previous work, we examined user traffic of publicly available programs, finding programs' TP quality reliable, robust, and stable predictor real-world usage; however, findings have not been subject experimental manipulation controlled trial. The current study impact parent training programs (DPTs) aimed at treating child's behavior problems. We conducted pilot randomized trial comparing two same evidence-based content established DPTs, but differ terms (standard: DPT-STD; enhanced: DPT-TP). Altogether, parents 88 families who child with problems were enrolled study. Compared DPT-STD (n = 43), participants allocated DPT-TP 45) used program significantly more (ps < 0.001; Cohen's ds 0.91-2.22). completion, 68.9 % completed it compared 27.9 participants. Significant differences between also found reported improvements favoring 0.05; 0.43-0.54). results point importance adequate product utilization conceptual frameworks order engagement challenges.

Language: Английский

The digital cumulative complexity model: a framework for improving engagement in digital mental health interventions DOI Creative Commons
Shane Cross, Mario Álvarez‐Jiménez

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 3, 2024

Mental health disorders affect a substantial portion of the global population. Despite preferences for psychotherapy, access remains limited due to various barriers. Digital mental interventions (DMHIs) have emerged increase accessibility, yet engagement and treatment completion rates are concerning. Evidence across healthcare where some degree self-management is required show that negatively influenced by contextual complexity. This article examines non-random factors influencing patient in digital face-to-face psychological therapies. It reviews established models introduces an adapted version Cumulative Complexity Model (CuCoM) as framework understanding context health. Theoretical like Fogg Behavior Model, Persuasive System Design, Self-Determination Theory, Supportive Accountability aim explain disengagement. However, none adequately consider these broader their complex interactions with personal characteristics, intervention requirements technology features. We expand on proposing application CuCoM’s contexts (known DiCuCoM), focusing interplay between burden, capacity, demands. Standardized DMHIs often fail individual variations burden leading variation. DiCuCoM highlights need balancing workload capacity improve engagement. Factors such life demands, treatment, examined influence adherence. The proposes person-centered approach informed CuCoM Minimally Disruptive Medicine, emphasizing systems acknowledge address unique burdens capacities individuals. Strategies enhancing include assessing reducing utilizing predict respond New could lead better ultimately outcomes.

Language: Английский

Citations

7

Web-Based Interpretation Bias Training to Reduce Anxiety: A Sequential, Multiple-Assignment Randomized Trial DOI Open Access
Jeremy William Eberle, Katharine E. Daniel, Sonia Baee

et al.

Published: March 4, 2024

Objective: Web-based cognitive bias modification for interpretation (CBM-I) can improve biases and anxiety symptoms but faces high rates of dropout. This study tested the effectiveness web-based CBM-I relative to an active psychoeducation condition addition low-intensity telecoaching a subset participants. Method: 1,234 anxious community adults (M_age = 35.09 years, 81.2% female, 72.1% white, 82.6% not Hispanic) were randomly assigned at Stage 1 sequential, multiple-assignment randomized trial complete five weekly sessions or on our team’s public research website. After first session, 2, algorithm attempted classify participants as higher (vs. lower) risk dropping out; those classified then four brief check-ins no coaching). Results: As hypothesized (https://doi.org/j2xr; Daniel, Eberle, &amp; Teachman, 2020), significantly outperformed improving positive negative (Recognition Ratings, Brief Body Sensations Interpretation Questionnaire) (Overall Anxiety Severity Impairment Scale, Scale from Depression Stress Scales–Short Form), with smaller treatment gains remaining significant 2-month follow-up. Unexpectedly, had worse dropout outcomes than psychoeducation, adding coaching coaching) did efficacy (notably, many chose interact their coach). Conclusions: appears effective, supplemental may mitigate challenge

Language: Английский

Citations

6

Toward the Science of Engagement With Digital Interventions DOI
Inbal Nahum‐Shani, Carolyn Yoon

Current Directions in Psychological Science, Journal Year: 2024, Volume and Issue: 33(4), P. 239 - 246

Published: June 3, 2024

Digital technologies, such as mobile devices and wearable sensors, are ingrained in daily life, making them a promising vehicle for delivering health behavior interventions. However, critical challenge that undermines the utility of digital interventions is suboptimal engagement participants, where participant defined investment physical, cognitive, affective energies focal stimulus or task. Research aiming to understand how increase with has grown substantially recent years. This article highlights several limitations existing evidence restrict its scientific practical discusses opportunities advancing science Synthesizing current body evidence, we call conceptualizing collection stimuli (e.g., notifications, reminders) tasks open app, practice relaxation technique) considering process rather than state (i.e., momentary conditions/experiences) trait relatively stable disposition). approach potential enhance rigor transparency measuring, reporting, interpreting would ultimately serve bolster progress toward developing strategies optimizing engagement.

Language: Английский

Citations

6

Is Dosage of a Meditation App Associated With Changes in Psychological Distress? It Depends on How You Ask DOI
Simon B. Goldberg, Ashley D. Kendall, Matthew J. Hirshberg

et al.

Clinical Psychological Science, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 26, 2024

Despite growing popularity, associations between dosage and outcomes in meditation app interventions have not been established. We examined this relationship using a range of operationalizations (e.g., minutes use, days number type activities completed) strategies for modeling ordinary least squares regression, multilevel modeling, latent class analysis). used data from recently completed randomized controlled trial testing (n=662; 80.4% with elevated depression/anxiety) which included psychological distress as its preregistered primary outcome. Across 41 models, whether or an association was detected well the shape direction varied. Although several models indicated that higher associated larger decreases distress, many failed to show some even showed opposite. These results may implications optimizing studying apps open science practices.

Language: Английский

Citations

5

Hybrid Experimental Designs for Intervention Development: What, Why, and How DOI Creative Commons
Inbal Nahum‐Shani, John J. Dziak, Maureen A. Walton

et al.

Advances in Methods and Practices in Psychological Science, Journal Year: 2022, Volume and Issue: 5(3)

Published: July 1, 2022

Advances in mobile and wireless technologies offer tremendous opportunities for extending the reach impact of psychological interventions adapting to unique changing needs individuals. However, insufficient engagement remains a critical barrier effectiveness digital interventions. Human delivery (e.g., by clinical staff) can be more engaging but potentially expensive burdensome. Hence, integration human-delivered components is building effective scalable Existing experimental designs used answer questions either about that are typically sequenced adapted at relatively slow timescales monthly) or much faster daily). these methodologies do not accommodate sequencing adaptation multiple hence cannot empirically inform joint components. Here, we introduce hybrid design (HED)—a new approach scientific which integrated timescales. We describe key characteristics HEDs (i.e., what they are), explain their rationale why needed), provide guidelines corresponding data analysis how arising from interventions).

Language: Английский

Citations

22

Through the lens of a naturalist: How learning about nature promotes nature connectedness via awe DOI
Shu Tian Ng, Angela K.‐Y. Leung, Sarah Hian May Chan

et al.

Journal of Environmental Psychology, Journal Year: 2023, Volume and Issue: 92, P. 102069 - 102069

Published: July 23, 2023

Language: Английский

Citations

13

Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems (APNASs) DOI Creative Commons
Britta Renner, Anette E. Buyken, Kurt Gedrich

et al.

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

12

How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial DOI Creative Commons
Lauren Bell, Claire Garnett, Yihan Bao

et al.

JMIR mhealth and uhealth, Journal Year: 2023, Volume and Issue: 11, P. e38342 - e38342

Published: April 1, 2023

Drink Less is a behavior change app to help higher-risk drinkers in the United Kingdom reduce their alcohol consumption. The includes daily notification asking users "Please complete your drinks and mood diary," yet we did not understand causal effect of on engagement nor how improve this component Less. We developed new bank 30 messages increase users' reflective motivation engage with This study aimed determine standard notifications affect engagement.

Language: Английский

Citations

11

Real-time personalized feedback in mHealth for adolescents DOI Creative Commons
Evelien Dietvorst, Manon H. J. Hillegers, Jeroen S. Legerstee

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Mobile Health (mHealth) interventions have the potential to improve early identification, prevention, and treatment of mental health problems. Grow It! is a multiplayer smartphone app designed for youth aged 12-25, allowing them monitor their emotions engage in daily challenges based on Cognitive Behavioral Therapy (CBT) principles. Recently, personalized mood profile was added app. We investigated whether real-time feedback enhances engagement, user experience, effects affective cognitive well-being. Sample A (

Language: Английский

Citations

4

Effective engagement in computerized cognitive training for older adults DOI
Anna Luiza Guimarães, Feng Lin, Rogério Panizzutti

et al.

Ageing Research Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 102650 - 102650

Published: Jan. 1, 2025

Language: Английский

Citations

0