A framework for precision "dosing" of mental healthcare services: algorithm development and clinical pilot.

ABSTRACT:

Background

One in five adults in the US experience mental illness and over half of these adults do not receive treatment. In addition to the access gap, few innovations have been reported for ensuring the right level of mental healthcare service is available at the right time for individual patients.

Methods

Historical observational clinical data was leveraged from a virtual healthcare system. We conceptualize mental healthcare services themselves as therapeutic interventions and develop a prototype computational framework to estimate their potential longitudinal impacts on depressive symptom severity, which is then used to assess new treatment schedules and delivered to clinicians via a dashboard. We operationally define this process as "session dosing": 497 patients who st

SUBMITTER: Knights J 

PROVIDER: S-EPMC10320892 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature