Mobile Health (mHealth) and Wearable Technology

Mobile health, or mHealth, is the use of mobile and wireless devices, especially smartphone applications and wearable sensors, to support health and health care for consumers. It includes apps for behaviour change, symptom tracking, and disease self-management, as well as wearables that continuously measure activity, heart rate, and other signals, generating patient-generated health data outside clinical settings.

Definition

Mobile health (mHealth) is the practice of medicine and public health supported by mobile devices such as smartphones, tablets, and wearable sensors; consumer mHealth applications and wearables collect, display, and act on health-related data directly with users, often to support behaviour change or self-monitoring.

Scope

This entry covers what mHealth and wearable technology are, the kinds of functions they provide, how behaviour-change and self-management interventions are built on them, and the evidence on their effectiveness. It is a methodological and educational overview within consumer health informatics and does not endorse particular devices or recommend their use for individual conditions.

Core questions

• What functions do mobile health applications and wearables provide to consumers?
• How are behaviour-change techniques and theory incorporated into mHealth interventions?
• What is the evidence that mHealth changes behaviour or improves disease management?
• What are the limits of consumer wearables as sources of health data?

Key concepts

• Mobile health (mHealth)
• Wearable sensors and activity trackers
• Patient-generated health data
• Behaviour-change techniques
• Self-monitoring and self-management
• Just-in-time and ecological momentary interventions
• Data accuracy and validation

Mechanisms

mHealth applications and wearables work by collecting health-related data from users or sensors and feeding it back through reminders, feedback, goal-setting, and other behaviour-change techniques, often delivered in the user's everyday context. Wearables add continuous, passive measurement of signals such as steps, heart rate, and sleep, producing patient-generated data that can be summarised for the user or shared with clinicians. The effectiveness of an intervention depends less on the medium than on whether it embeds active behaviour-change ingredients and an appropriate theoretical basis, and on the accuracy and validation of the underlying measurements.

Clinical relevance

Mobile health tools are an increasingly common way that people track activity, monitor conditions, and receive health prompts outside of clinical encounters, and the data they generate is sometimes brought into care. Appraising how such tools are designed and how robust their measurements are is part of understanding contemporary self-management. This entry is descriptive and does not provide instructions for using any device to manage a specific condition.

Evidence & guidelines

A systematic review of mobile health interventions for behaviour change and disease management found some beneficial effects but limited and variable evidence quality, with many interventions inadequately described. Meta-analytic work on Internet-based behaviour-change interventions shows that effects are larger when interventions are grounded in theory and incorporate more behaviour-change techniques, a finding frequently invoked for mHealth design. Narrative reviews place mHealth and wearables within the broader expansion of digital and remote care.

History

Mobile health grew rapidly after the introduction of smartphones around 2007, which put programmable computers with sensors and connectivity into widespread personal use, followed by consumer wearables for fitness and physiological monitoring. Early text-message interventions gave way to app stores filled with health applications, and continuous-sensing wearables broadened the kinds of data consumers could generate. The field's challenge shifted from feasibility to demonstrating real effectiveness and ensuring data quality.

Debates

Do consumer mHealth tools deliver measurable health benefit?

While many apps and wearables are feasible and popular, systematic reviews find inconsistent and often low-quality evidence of effect on behaviour or outcomes, raising the question of when these tools genuinely help versus merely engage users.

Key figures

• Caroline Free
• Susan Michie
• Eric Topol

Seminal works

• free-2013
• webb-2010

Frequently asked questions

Is mHealth the same as telehealth?

They overlap but are not identical: mHealth refers specifically to health uses of mobile and wearable devices, while telehealth is the broader delivery of health services and information at a distance, which may use mobile devices among other channels.

Are data from consumer wearables clinically reliable?

Accuracy varies by device and measurement; consumer wearables can provide useful trends but their measurements are not uniformly validated to clinical standards, so the quality of the underlying data is an important consideration.