ReviewSensors (Basel, Switzerland)2022
Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review.Journal of medical Internet research · 2023Pooled it
- A Survey on Wearable Sensors for Mental Health Monitoring.Sensors (Basel, Switzerland) · 2023Pooled it
- Cross-Platform Availability of Smartphone Sensors for Depression Indication Systems: Mixed-Methods Umbrella Review.Interactive journal of medical research · 2025Review
- Current challenges and opportunities in active and passive data collection for mobile health sensing: a scoping review.JAMIA open · 2025Review
- Smartphone as a Sensor in mHealth: Narrative Overview, SWOT Analysis, and Proposal of Mobile Biomarkers.Sensors (Basel, Switzerland) · 2025Review
- Recent Advances in Vehicle Driver Health Monitoring Systems.Sensors (Basel, Switzerland) · 2025Review
- E-waste for health: recycling smartphones for health monitoring.Frontiers in digital health · 2025Article
- Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and Consensus-Based Recommendations.Journal of medical Internet research · 2024Article
- Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings.Sensors (Basel, Switzerland) · 2024Article
- Enhancing the acceptance of smart sensing in psychotherapy patients: findings from a randomized controlled trial.Frontiers in digital health · 2024Article
- Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices.AIMS neuroscience · 2024Review
- The use of commercial wrist-worn technology to track physiological outcomes in behavioral interventions.Current opinion in clinical nutrition and metabolic care · 2023Review
- Combining Experience Sampling and Mobile Sensing for Digital Phenotyping With m-Path Sense: Performance Study.JMIR formative research · 2023Article
- A modular, deep learning-based holistic intent sensing system tested with Parkinson's disease patients and controls.Frontiers in neurology · 2023Article
- Associations of smartphone usage patterns with sleep and mental health symptoms in a clinical cohort receiving virtual behavioral medicine care: a retrospective study.Sleep advances : a journal of the Sleep Research Society · 2023Article
- Advances in E-Health and Mobile Health Monitoring.Sensors (Basel, Switzerland) · 2022Article
- eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions.International journal of environmental research and public health · 2022Article
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
Recent years have seen significant advances in the sensing capabilities of smartphones, enabling them to collect rich contextual information such as location, device usage, and human activity at a given point in time. Combined with widespread user adoption and the ability to gather user data remotely, smartphone-based sensing has become an appealing choice for health research. Numerous studies over the years have demonstrated the promise of using smartphone-based sensing to monitor a range of health conditions, particularly mental health conditions. However, as research is progressing to develop the predictive capabilities of smartphones, it becomes even more crucial to fully understand the capabilities and limitations of using this technology, given its potential impact on human health. To this end, this paper presents a narrative review of smartphone-sensing literature from the past 5 years, to highlight the opportunities and challenges of this approach in healthcare. It provides an overview of the type of health conditions studied, the types of data collected, tools used, and the challenges encountered in using smartphones for healthcare studies, which aims to serve as a guide for researchers wishing to embark on similar research in the future. Our findings highlight the predominance of mental health studies, discuss the opportunities of using standardized sensing approaches and machine-learning advancements, and present the trends of smartphone sensing in healthcare over the years.
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.