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Dataset Information

Evaluating the Implementation and Clinical Effectiveness of an Innovative Digital First Care Model for Behavioral Health Using the RE-AIM Framework: Quantitative Evaluation.


ABSTRACT:

Background

In the United States, innovation is needed to address the increasing need for mental health care services and widen the patient-to-provider ratio. Despite the benefits of digital mental health interventions (DMHIs), they have not been effective in addressing patients' behavioral health challenges as stand-alone treatments.

Objective

This study evaluates the implementation and effectiveness of precision behavioral health (PBH), a digital-first behavioral health care model embedded within routine primary care that refers patients to an ecosystem of evidence-based DMHIs with strategically placed human support.

Methods

Patient demographic information, triage visit outcomes, multidimensional patient-reported outcome measure, enrollment, and engagement with the D

SUBMITTER: Nordberg SS 

PROVIDER: S-EPMC11561446 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature