Internet Interventions-The Application of Information Technology in Me

Papers
(The H4-Index of Internet Interventions-The Application of Information Technology in Me is 26. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Digital health literacy as a super determinant of health: More than simply the sum of its parts90
Using AI chatbots to provide self-help depression interventions for university students: A randomized trial of effectiveness88
Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology75
A pilot randomized controlled trial of a group intervention via Zoom to relieve loneliness and depressive symptoms among older persons during the COVID-19 outbreak72
Online consultations in mental healthcare during the COVID-19 outbreak: An international survey study on professionals' motivations and perceived barriers58
Different impacts of COVID-19-related information sources on public worry: An online survey through social media51
Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol46
Effects of self-guided stress management interventions in college students: A systematic review and meta-analysis43
A new era in Internet interventions: The advent of Chat-GPT and AI-assisted therapist guidance41
Cognitive reappraisal and self-compassion as emotion regulation strategies for parents during COVID-19: An online randomized controlled trial40
Engagement with mobile health interventions for depression: A systematic review39
Effect of an internet- and app-based stress intervention compared to online psychoeducation in university students with depressive symptoms: Results of a randomized controlled trial36
Liar! Liar! Identifying eligibility fraud by applicants in digital health research35
Factors associated with treatment uptake, completion, and subsequent symptom improvement in a national digital mental health service35
Virtual reality facial emotion recognition in social environments: An eye-tracking study32
A tale of two countries: Increased uptake of digital mental health services during the COVID-19 pandemic in Australia and New Zealand32
Efficacy of digital health interventions in youth with chronic medical conditions: A meta-analysis31
Exploring medical students' views on digital mental health interventions: A qualitative study30
Step-by-step: Feasibility randomised controlled trial of a mobile-based intervention for depression among populations affected by adversity in Lebanon30
Predicting acute suicidal ideation on Instagram using ensemble machine learning models29
Systematic evaluation of content and quality of English and German pain apps in European app stores28
Uptake and effectiveness of a self-guided mobile app platform for college student mental health28
A systematic review of the dose-response relationship between usage and outcomes of online physical activity weight-loss interventions27
Adolescent dropout from brief digital mental health interventions within and beyond randomized trials27
iHealth: The ethics of artificial intelligence and big data in mental healthcare27
Online Acceptance and Commitment Therapy (ACT) interventions for chronic pain: A systematic literature review26
Targeting subjective engagement in experimental therapeutics for digital mental health interventions26
Effects of an internet-based self-help intervention for psychological distress due to COVID-19: Results of a randomized controlled trial26
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