Proportionate methods for evaluating a simple digital mental health tool.

BACKGROUND

Traditional evaluation methods are not keeping pace with rapid developments in mobile health. More flexible methodologies are needed to evaluate mHealth technologies, particularly simple, self-help tools. One approach is to combine a variety of methods and data to build a comprehensive picture of how a technology is used and its impact on users.

OBJECTIVE

This paper aims to demonstrate how analytical data and user feedback can be triangulated to provide a proportionate and practical approach to the evaluation of a mental well-being smartphone app ().

METHODS

A three-part process was used to collect data: (1) app analytics; (2) an online user survey and (3) interviews with users.

FINDINGS

Analytics showed that >50% of user sessions counted as 'meaningful engagement'. User survey findings (n=108) revealed that was perceived to be helpful on several dimensions of mental well-being. Interviews (n=8) provided insight into how these self-reported positive effects were understood by users.

CONCLUSIONS

This evaluation demonstrates how different methods can be combined to complete a real world, naturalistic evaluation of a self-help digital tool and provide insights into how and why an app is used and its impact on users' well-being.

CLINICAL IMPLICATIONS

This triangulation approach to evaluation provides insight into how well-being apps are used and their perceived impact on users' mental well-being. This approach is useful for mental healthcare professionals and commissioners who wish to recommend simple digital tools to their patients and evaluate their uptake, use and benefits.