ArticleJournal of medical Internet research2016
How a Fully Automated eHealth Program Simulates Three Therapeutic Processes: A Case Study.
Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Testing the Efficacy of a Lapse Management System in an Online Smoking Cessation
The Effect of Negotiating a Quit Date on Attempting to Quit Smoking
An RCT Comparing Reminders Sendt by SMS or by E-mail in an Online Smoking Cessation Intervention
Who cites it
19 citing papers in PubMed.
- Comparing Reminders Sent via SMS Text Messaging and Email for Improving Adherence to an Electronic Health Program: Randomized Controlled Trial.JMIR mHealth and uHealth · 2022Trial
- A Pilot Randomized Controlled Trial of an Internet-Based Alcohol Intervention in a Workplace Setting.International journal of behavioral medicine · 2017Trial
- Validating the working alliance inventory in a mobile health smoking cessation program: A quasi-experimental study among Mexican adults who smoke.Tobacco induced diseases · 2026Article
- Exploring and validating themes of the eHealth Therapeutic Alliance Inventory in digital health interventions: A qualitative analysis.Internet interventions · 2025Article
- Recommendations for implementing digital alcohol interventions in primary care: lessons learned from a Norwegian feasibility study.Frontiers in health services · 2024Article
- RACares: a conceptual design to guide mHealth relational agent development based on a systematic review.mHealth · 2024Review
- Cohort Description: Preventing an Opioid Epidemic in Norway - Focusing on Treatment of Chronic Pain (POINT) - A National Registry-Based Study.Clinical epidemiology · 2022Article
- Pragmatic approaches for addressing alcohol in general practice: Development of a tailored implementation intervention.Frontiers in health services · 2022Article
- Subtypes of smokers in a randomized controlled trial of a web-based smoking cessation program and their role in predicting intervention non-usage attrition: Implications for the development of tailored interventions.Internet interventions · 2021Article
- Effort-Optimized Intervention Model: Framework for Building and Analyzing Digital Interventions That Require Minimal Effort for Health-Related Gains.Journal of medical Internet research · 2021Article
- Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care.Journal of medical Internet research · 2020Article
- The Therapeutic Alliance in Digital Mental Health Interventions for Serious Mental Illnesses: Narrative Review.JMIR mental health · 2020Review
- Making Come-Alive and Keeping Un-Alive: How People Relate to Self-Guided Web-Based Health Interventions.Qualitative health research · 2020Article
- Development of a gender-relevant tobacco cessation intervention for women in Brazil-an intervention mapping approach to planning.Health education research · 2019Article
- Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis.Journal of medical Internet research · 2019Article
- Qualitative Interview Studies of Working Mechanisms in Electronic Health: Tools to Enhance Study Quality.Journal of medical Internet research · 2019Article
- Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset.Journal of medical Internet research · 2018Article
- A Mobile App (WhiteTeeth) to Promote Good Oral Health Behavior Among Dutch Adolescents with Fixed Orthodontic Appliances: Intervention Mapping Approach.JMIR mHealth and uHealth · 2018Article
- Enlight: A Comprehensive Quality and Therapeutic Potential Evaluation Tool for Mobile and Web-Based eHealth Interventions.Journal of medical Internet research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundeHealth programs may be better understood by breaking down the components of one particular program and discussing its potential for interactivity and tailoring in regard to concepts from face-to-face counseling. In the search for the efficacious elements within eHealth programs, it is important to understand how a program using lapse management may simultaneously support working alliance, internalization of motivation, and behavior maintenance. These processes have been applied to fully automated eHealth programs individually. However, given their significance in face-to-face counseling, it may be important to simulate the processes simultaneously in interactive, tailored programs.
objectiveWe propose a theoretical model for how fully automated behavior change eHealth programs may be more effective by simulating a therapist's support of a working alliance, internalization of motivation, and managing lapses.
methodsWe show how the model is derived from theory and its application to Endre, a fully automated smoking cessation program that engages the user in several "counseling sessions" about quitting. A descriptive case study based on tools from the intervention mapping protocol shows how each therapeutic process is simulated.
resultsThe program supports the user's working alliance through alliance factors, the nonembodied relational agent Endre and computerized motivational interviewing. Computerized motivational interviewing also supports internalized motivation to quit, whereas a lapse management component responds to lapses. The description operationalizes working alliance, internalization of motivation, and managing lapses, in terms of eHealth support of smoking cessation.
conclusionsA program may simulate working alliance, internalization of motivation, and lapse management through interactivity and individual tailoring, potentially making fully automated eHealth behavior change programs more effective.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.