Objective:

To propose methods for shortening psychological scales to facilitate personalization in digital mental health interventions without overburdening users, including specific techniques for scale reduction.

Key Findings:

• Personalization in digital mental health can enhance user engagement and outcomes, leading to improved mental health support.
• Long psychological scales may deter users from completing assessments, particularly those facing mental health challenges.
• Ultrabrief scales (2-4 items) can retain reliability and validity while significantly reducing user burden.

Interpretation:

The article emphasizes the need for ultrabrief scales to improve personalization in digital mental health services, directly addressing user cognitive load and motivation to engage with interventions.

Limitations:

• Limited research on the application of brief scales for personalization in digital mental health, raising questions about their effectiveness.
• Potential ethical concerns regarding the use of shortened scales, including issues of informed consent and data privacy.

Conclusion:

The piece aims to encourage further research on ultrashort scales to enhance user experiences in digital mental health personalization, advocating for a deeper exploration of their practical applications.