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Actionable health app evaluation: translating expert frameworks into objective metrics.

Sarah Lagan¹, Patrick Aquino², Margaret R Emerson³

¹Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115 USA.

NPJ Digital Medicine

|August 22, 2020

Summary

A new framework translates the American Psychiatric Association's model into objective metrics for evaluating mobile health apps. This crowdsourced online database will make health app assessment more accessible and navigable for users.

Keywords:

Adverse effects Translational research

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Area of Science:

Digital Health
Health Informatics
Mobile Health Applications

Background:

The proliferation of mobile health apps necessitates a standardized evaluation framework.
The American Psychiatric Association (APA) developed an app evaluation model considering accessibility, privacy, clinical foundation, engagement, and interoperability.
A gap exists in centralized, accessible platforms for viewing app evaluations based on the APA model.

Purpose of the Study:

To translate the APA's app evaluation model into objective, actionable metrics.
To propose an online, crowdsourced database for mobile health app assessment.
To enhance the accessibility and navigability of the mobile health app market for users.

Main Methods:

Operationalizing APA model questions into 105 objective, binary, or numeric questions.
Developing a foundation for an online database to house app evaluation data.
Proposing a crowdsourcing approach for data collection and app evaluation.

Main Results:

Initial internal testing showed excellent interrater reliability for the developed metrics.
The proposed database structure facilitates public and interactive data collection.
The framework aims to enable users to filter apps based on preferences and priorities.

Conclusions:

The proposed online database offers a public and interactive approach to mobile health app evaluation.
This initiative makes the APA's model actionable and accessible to a broader audience.
The system will improve user navigation within the expanding mobile health app market.