We recently had the opportunity to share our approach to integrating e-Mental Health (eMH) services with data-informed decision making (DIDM) in an article for the eMental Health International Collaborative (eMHIC).
Read the article at the eMHIC website
This integration is part of how we help transform mental health and substance use health systems through flexible, person-centric models that increase access and improve outcomes. It can be a key to facilitating an approach that moves beyond traditional measurement to empower care seekers, inform planning, and enable continuous improvement across systems.
You may be familiar with other names for data collection approaches, including measurement-based care and measure-informed care.
In the Stepped Care 2.0 (SC2.0®) model, the primary reason for collecting data is to support care seeker decision-making and engagement and to improve outcomes, whether it involves self-directed programming or care-planning conversations with a service provider. We want to emphasize the importance of using data in all types and contexts of treatment and care decisions at all system levels, and we believe the term data-informed decision making captures this well.
When facilitating SC2.0 implementation, we see the greatest successes when care providers and system leaders are focused on the positive outcomes a DIDM approach can create for their work and care seekers.
For more information about DIDM, training, and learning opportunities, connect with one of our implementation experts to explore how we can support your workplace wellness initiatives.
Read the full article at the eMHIC website.