Document Type
Article
Publication Date
9-20-2022
Abstract
Background:
Behavioral health integration allows for patient-centered care, leads to higher levels of provider-patient engagement, and is key to improving patient outcomes. However, behavioral health integration is administratively burdensome and therefore is often not adopted. Technology presents opportunities to increase care team efficiency and improve patient outcomes. The goal of this study was to retrospectively compare clinical outcomes and emergency department utilization in patients using a technology platform compared to patients receiving treatment as usual.
Methods:
The technology platform, NeuroFlow, was deployed to deliver technology-enabled behavioral health integration in 30 clinics, and 598 electronic health records were analyzed.
Results:
In the six-month period following technology-enabled behavioral health integration implementation, emergency department utilization decreased by 34% in the treatment group (n=259), while increasing by 58% in the treatment as usual group (n=339). Additionally, statistically significant (p < .01) decreases in PHQ-9 (-17.3%) and GAD-7 (-12.4%) scores were only observed in the treatment group.
Conclusion:
Findings from this study support use of a technology-enabled behavioral health tool to decrease emergency department use and highlight the importance of measurement-based care. Future research will be key to enhancing behavioral health technology and integration to further improve patient outcomes and reduce emergency department utilization.
Recommended Citation
Pardes, Adam; Rene, Rachelle; Chun, Phansy Chun; and Cherson, Mollie, "Technology-enabled Behavioral Health Integration Decreases Emergency Department Utilization" (2022). Jefferson Hospital Staff Papers and Presentations. Paper 22.
https://jdc.jefferson.edu/tjuhpapers/22
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Language
English
Included in
Behavior and Behavior Mechanisms Commons, Health Information Technology Commons, Mental Disorders Commons, Technology and Innovation Commons
Comments
This article is the author's final published version in Clinical Practice and Epidemiology in Mental Health, Volume 18, Issue 1, 2022, Article number e174501792208150.
The published version is available at https://doi.org/10.2174/17450179-v18-e2208150.
Copyright © 2022 Pardes et al.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.