ArticleJMIR mHealth and uHealth2020
Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 7 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- The impact of digital interactive interventions on survivorship outcomes in prostate cancer: a systematic narrative review.BMC cancer · 2025Pooled it
- Analyzing metaverse-based digital therapies, their effectiveness, and potential risks in mental healthcare.Scientific reports · 2025Pooled it
- Use of Behavior Change Techniques in Digital HIV Prevention Programs for Adolescents and Young People: Systematic Review.JMIR public health and surveillance · 2025Pooled it
- Advancements and challenges in methodological approaches for game-based health interventions: a scoping review.Frontiers in digital health · 2025Pooled it
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review.Frontiers in psychology · 2023Pooled it
- Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING).Journal of medical Internet research · 2021Pooled it
- Providing 2 Types of mHealth Interventions to Support Self-Management Among People Living With HIV: Randomized Clinical Trial.JMIR mHealth and uHealth · 2025Trial
- Individual Characteristics in the Comprehension of Pandemic Video Communication: Randomized Controlled Between-Subjects Design.Journal of medical Internet research · 2024Trial
- The effect of social network based motivational interviewing on health behaviors among infertile women with polycystic ovary syndrome: A randomized controlled trial.Scientific reports · 2024Trial
- Smartphone-Delivered Progressive Muscle Relaxation for the Treatment of Migraine in Primary Care: A Randomized Controlled Trial.Headache · 2020Trial
- Exergame Intervention for Habit Formation, Lifestyle Adjustment, and Health Ownership Enhancement Among Hong Kong's Older Adults: Multisession, Single-Group, Pre-Post Pilot Study.JMIR serious games · 2026Article
- Co-Designing a Fall Prevention Exercise Website to Meet Aged Care Community Needs.Australasian journal on ageing · 2026Article
- Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study.JMIR formative research · 2026Article
- Engagement of Users in Digital Health Applications: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Is Gamification the New Panacea for Health Behavioral Changes? Implications for the Health and Life Insurance Industry.JMIR serious games · 2026Article
- Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study.JMIR aging · 2026Article
- Positive health programme for British South Asian women with postnatal depression: a multiperspective qualitative study.BMJ open · 2025Article
- Behavior Change Strategies in Digital Exercise Interventions for Adolescent Idiopathic Scoliosis: Scoping Review.Journal of medical Internet research · 2025Article
- Associations of smart device apps with and without a perceived self-efficacy component in a physical activity context with BMI.Journal of health psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost adults do not engage in sufficient physical activity to maintain good health. Smartphone apps are increasingly used to support physical activity but typically focus on tracking behaviors with no support for the complex process of behavior change. Tracking features do not engage all users, and apps could better reach their targets by engaging users in reflecting their reasons, capabilities, and opportunities to change. Motivational interviewing supports this active engagement in self-reflection and self-regulation by fostering psychological needs proposed by the self-determination theory (ie, autonomy, competence, and relatedness). However, it is unknown whether digitalized motivational interviewing in a smartphone app engages users in this process.
objectiveThis study aimed to describe the theory- and evidence-based development of the Precious app and to examine how digitalized motivational interviewing using a smartphone app engages users in the behavior change process. Specifically, we aimed to determine if use of the Precious app elicits change talk in participants and how they perceive autonomy support in the app.
methodsA multidisciplinary team built the Precious app to support engagement in the behavior change process. The Precious app targets reflective processes with motivational interviewing and spontaneous processes with gamified tools, and builds on the principles of self-determination theory and control theory by using 7 relational techniques and 12 behavior change techniques. The feasibility of the app was tested among 12 adults, who were asked to interact with the prototype and think aloud. Semistructured interviews allowed participants to extend their statements. Participants' interactions with the app were video recorded, transcribed, and analyzed with deductive thematic analysis to identify the theoretical themes related to autonomy support and change talk.
resultsParticipants valued the autonomy supportive features in the Precious app (eg, freedom to pursue personally relevant goals and receive tailored feedback). We identified the following five themes based on the theory-based theme autonomy support: valuing the chance to choose, concern about lack of autonomy, expecting controlling features, autonomous goals, and autonomy supportive feedback. The motivational interviewing features actively engaged participants in reflecting their outcome goals and reasons for activity, producing several types of change talk and very little sustain talk. The types of change talk identified were desire, need, reasons, ability, commitment, and taking steps toward change.
conclusionsThe Precious app takes a unique approach to engage users in the behavior change process by targeting both reflective and spontaneous processes. It allows motivational interviewing in a mobile form, supports psychological needs with relational techniques, and targets intrinsic motivation with gamified elements. The motivational interviewing approach shows promise, but the impact of its interactive features and tailored feedback needs to be studied over time. The Precious app is undergoing testing in a series of n-of-1 randomized controlled trials.
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.