ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Mobile apps for mood tracking: an analysis of features and user reviews.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 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
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Mood Monitoring, Mood Tracking, and Ambulatory Assessment Interventions in Depression and Bipolar Disorder: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mental health · 2026Pooled it
- Evaluating Commercially Available Mobile Apps for Depression Self-Management.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Pooled it
- Trial
- Effectiveness of a Mindfulness-Based Mobile Intervention for Improving Perinatal Mental Health and Reducing Depression During Pregnancy: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Mind over Matter: Testing the Efficacy of an Online Randomized Controlled Trial to Reduce Distraction from Smartphone Use.International journal of environmental research and public health · 2020Trial
- Taking a Stand for Office-Based Workers' Mental Health: The Return of the Microbreak.Frontiers in public health · 2020Trial
- Value in app store metadata and user reviews: A dual perspective on quality of Parkinson's and dementia apps.PLOS digital health · 2026Article
- Improving Affective Associations With Physical Activity via a Message-Based mHealth Intervention (WalkToJoy): Proof-of-Concept Study.Journal of medical Internet research · 2025Article
- Understanding Device Integrations Within Diabetes Apps: Mixed Methods Analysis of App Features and User Reviews.JMIR diabetes · 2025Article
- The mChoice App, an mHealth Tool for the Monitoring of Preexposure Prophylaxis Adherence and Sexual Behaviors in Young Men Who Have Sex With Men: Usability Evaluation.JMIR human factors · 2025Article
- Provider Perspectives on the Use of Mental Health Apps, and the BritePath App in Particular, With Adolescents at Risk for Suicidal Behavior: Qualitative Study.JMIR human factors · 2025Article
- Advancing Emotionally Aware Child-Robot Interaction with Biophysical Data and Insight-Driven Affective Computing.Sensors (Basel, Switzerland) · 2025Article
- Wearable-derived heart rate variability and sleep monitoring as predictors of mood episodes in bipolar disorder: a case report.Frontiers in psychiatry · 2025Article
- Exploring the link between self-management of migraine and emotional wellbeing: a cross-sectional study of community-dwelling migraine sufferers.BMC neurology · 2024Article
- Validating the efficacy and value proposition of mental fitness vocal biomarkers in a psychiatric population: prospective cohort study.Frontiers in psychiatry · 2024Article
- The Minimum Feature Set for Designing Mobile Apps to Support Bipolar Disorder-Affected Patients: Proposal of Essential Functions and Requirements.Journal of healthcare informatics research · 2023Article
- The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023Article
- Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Daily survey participation and positive changes in mental health symptom scores among Royal Canadian Mounted Police Cadets.Frontiers in psychology · 2023Article
- Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many mood tracking apps are available on smartphone app stores, but little is known about their features and their users' experiences. To investigate commercially available mood tracking apps, we conducted an in-depth feature analysis of 32 apps, and performed a qualitative analysis of a set of user reviews. Informed by a widely adopted personal informatics framework, we conducted a feature analysis to investigate how these apps support four stages of selftracking: preparation, collection, reflection, and action; and found that mood tracking apps offer many features for the collection and reflection stages, but lack adequate support for the preparation and action stages. Through the qualitative analysis of user reviews, we found that users utilize mood tracking to learn about their mood patterns, improve their mood, and self-manage their mental illnesses. In this paper, we present our findings and discuss implications for mobile apps designed to enhance emotional wellness.
Indexed as
Identifiers
29854114PMC5977660What 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.