Name
Digital scaling of Collaborative Care: Impact on the Quintuple Aim of healthcare delivery
Description
The Collaborative Care Model (CoCM) is a comprehensive, evidence-based approach of integrating primary care and behavioral health services to improve access and outcomes for patients with mental health conditions. Despite over 20 years of demonstrative effectiveness and practical implementation experience across healthcare settings, broad adoption of the CoCM remains challenged by constraints in scalability, workforce, and workflow (Wood et al., 2017; Moise et al., 2018). Key barriers include the need for acquisition and interpretation of rich data sets to inform clinical decisions for individual patients and operational decisions for a population. High volume capture, transformation, and dissemination of this data contributes greatly to administrative burden diminishing workforce capacity. Digital behavioral health solutions (DBHS) have promise in addressing these barriers by offering scalable and cost-effective tools that may complement the CoCM (Carleton et al., 2020). These technologies, that include mobile health (mHealth) applications and prescription digital therapeutics (DTx), may enhance triage, care coordination, patient engagement, and real-time data sharing (Shah et al., 2022). By integrating digital tools into the CoCM, healthcare systems may simultaneously expand access to behavioral health resources, reduce administrative burden on care teams, and improve overall efficiency of service delivery. This presentation will explore the potential of DBHS to scale the CoCM, presenting examples of successful digital integration within an academic health system in both pilot and large-scale implementations. Impact on reach, personalization of care, process measures and population outcomes will be highlighted providing a roadmap for leveraging DBHS and CoCM to better achieve the “Quintuple Aim” of healthcare delivery. This session will consist of a 45 minute seminar with 15 minutes of open dialogue with audience members.
Content Level
Intermediate
Tags
Collaborative Care Model of Integrated Care, Innovations, Quality improvement programs
Session Type
Concurrent
Objective 1
Describe the value of Collaborative Care and integrated approaches within the "Quintuple Aim" framework for healthcare improvement.
Objective 2
Determine opportunities to scale and sustain Collaborative Care through leveraging digital behavioral health solutions (DBHS).
Objective 3
Design a digital solution implementation strategy using early lessons from successful health system implementations.
Content Reference 1
Wood E, Ohlsen S, Ricketts T. What are the barriers and facilitators to implementing Collaborative Care for depression? A systematic review. J Affect Disord. 2017 May;214:26-43. doi: 10.1016/j.jad.2017.02.028. Epub 2017 Feb 22. PMID: 28266319.
Content Reference 2
Moise N, Shah RN, Essock S, Jones A, Carruthers J, Handley MA, Peccoralo L, Sederer L. Sustainability of collaborative care management for depression in primary care settings with academic affiliations across New York State. Implement Sci. 2018 Oct 12;13(1):128. doi: 10.1186/s13012-018-0818-6. PMID: 30314522; PMCID: PMC6186053.
Content Reference 3
Carleton KE, Patel UB, Stein D, Mou D, Mallow A, Blackmore MA. Enhancing the scalability of the collaborative care model for depression using mobile technology. Transl Behav Med. 2020 Aug 7;10(3):573-579. doi: 10.1093/tbm/ibz146. PMID: 32766866.
Content Reference 4
Shah B, Allen JLY, Chaudhury H, O'Shaughnessy J, Tyrrell CSB. The role of digital health in the future of integrated care. Clinics in Integrated Care 15 (2022): 100131–100131. ISSN 2666-8696. https://doi.org/10.1016/j.intcar.2022.100131.