Advancing a Consent-Forward Paradigm for Digital Mental Health Data

TL;DR

This paper proposes a consent-forward paradigm for digital mental health data, emphasizing user consent and control to enhance trust and safety in digital mental health services.

Contribution

It introduces a novel consent-forward approach that embeds affirmative consent principles into digital mental health tools and services.

Findings

Outlines practical steps for implementing consent-forward practices.

Highlights the importance of user trust and safety in digital mental health.

Addresses historical exclusion of service users from data practices.

Abstract

The field of digital mental health is advancing at a rapid pace. Passively collected data from user engagements with digital tools and services continue to contribute new insights into mental health and illness. As the field of digital mental health grows, a concerning norm has been established -- digital service users are given little say over how their data is collected, shared, or used to generate revenue for private companies. Given a long history of service user exclusion from data collection practices, we propose an alternative approach that is attentive to this history: the consent-forward paradigm. This paradigm embeds principles of affirmative consent in the design of digital mental health tools and services, strengthening trust through designing around individual choices and needs, and proactively protecting users from unexpected harm. In this perspective, we outline practical steps to implement this paradigm, toward ensuring that people searching for care have the safest experiences possible.