Comparing multi-level and system-level strategies for the sustainability-implementation phase of collaborative care models: the Transform DepCare randomized clinical trial

Abstract Background Few studies test strategies for the sustainability-implementation phase of evidence-based practices like collaborative care models (CoCMs). Methods We conducted a randomized control hybrid 3 effectiveness-implementation trial of two theory-informed strategies at 5 primary care settings with mature CoCMs (i.e. already had programs in place): (1) system-level strategy: local technical assistance/learning collaborative meetings for Behavioral Health Providers (BHPs); (2) multi-level strategy: the system-level strategy, primary care provider (PCP) training/reminders/audit-feedback and in small subset of patients an activation/psychoeducation tool (DepCare educational material ). We randomized 44 PCPs. Their patients were eligible if they had elevated depressive +/- anxiety symptoms at a primary care (i.e. index) visit (patients could have ≥ 1 eligible visit with a PCP). We examined reach (e.g. completing a new CoCM visit and/or filling a new, intensified/augmented, or previously nonadherent antidepressant), adoption (e.g. CoCM referral by PCP and/or initiating/intensifying/switching/combining antidepressants) and reach - maintenance (≥2 fills and/or CoCM visits). We used multilevel logistic regression analysis (index visits nested within patients nested within PCPs). We thematically analyzed BHP meeting transcripts to elucidate mechanisms (i.e. mediating processes), determinants (hinderances/enablers), preconditions (necessary factors) and moderators at which strategies influenced outcomes. Results There were 605 CoCM eligible patients with 757 index visits post-strategy deployment. The mean age was 47.7 (SD = 17.3); 80% were female, 15% Black, 51% Hispanic; 41% were on an antidepressant. In the multi-level vs. system-level arm, reach was 39.1% vs. 44.9% (OR = 0.78; 95% CI 0.49, 1.22, p = 0.27); reach-maintenance 31.4% vs. 37.3% (OR = 0.77; 95% CI 0.50, 1.19, p = 0.23) and adoption 40.5% vs. 46.1% (OR = 0.74; 95% CI 0.42, 1.31, p = 0.29). Pre- vs. post reach improved in the multi-level (30.0% to 39.1%; (OR = 1.37, 95%CI 0.94, 2.00) and system-level (30.4% to 44.9%; OR = 1.93, 95%CI 1.31, 2.85) arms, with similar trends in adoption and reach-maintenance. Strategy mechanisms included improved BHP-PCP-patient communication and CoCM adaptability (i.e. number of visits, quality improvement); hinderances PCP resistance; moderators resources and PCP/patient motivation, and preconditions depression/anxiety screening quality, all described in the full text along with effectiveness and implementation (i.e. intervention/strategy fidelity) metrics. Conclusions There was no difference between system- and multi- (system plus PCP) level strategies for CoCM sustainability-implementation. Waning PCP involvement, despite clinician-targeted strategies, remains a key barrier to sustainability. Clinicaltrials.gov: NCT05085886. Submitted 9/28/2021

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Journal
Implementation Science
Published
2026-08-24
DOI
https://doi.org/10.1186/s13012-026-01523-1
Primary Topic
Health Policy Implementation Science
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article
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article

Comparing multi-level and system-level strategies for the sustainability-implementation phase of collaborative care models: the Transform DepCare randomized clinical trial

Kirali Genao, Siqin Ye, Maria Serafini, Joseph E. Schwartz et al.
Implementation Science
Health Policy Implementation Science
article

Comparing multi-level and system-level strategies for the sustainability-implementation phase of collaborative care models: the Transform DepCare randomized clinical trial

Kirali Genao, Siqin Ye, Maria Serafini, Joseph E. Schwartz, Jennifer Mizhquiri Barbecho, Nathalie Moise, Meredith E. Diamond, Mengxiao Luan, Daniela Suarez-Rebling, Alyssa Sales, Danielle Rome, Andrea T. Duran
article en

Abstract

Abstract Background Few studies test strategies for the sustainability-implementation phase of evidence-based practices like collaborative care models (CoCMs). Methods We conducted a randomized control hybrid 3 effectiveness-implementation trial of two theory-informed strategies at 5 primary care settings with mature CoCMs (i.e. already had programs in place): (1) system-level strategy: local technical assistance/learning collaborative meetings for Behavioral Health Providers (BHPs); (2) multi-level strategy: the system-level strategy, primary care provider (PCP) training/reminders/audit-feedback and in small subset of patients an activation/psychoeducation tool (DepCare educational material ). We randomized 44 PCPs. Their patients were eligible if they had elevated depressive +/- anxiety symptoms at a primary care (i.e. index) visit (patients could have ≥ 1 eligible visit with a PCP). We examined reach (e.g. completing a new CoCM visit and/or filling a new, intensified/augmented, or previously nonadherent antidepressant), adoption (e.g. CoCM referral by PCP and/or initiating/intensifying/switching/combining antidepressants) and reach - maintenance (≥2 fills and/or CoCM visits). We used multilevel logistic regression analysis (index visits nested within patients nested within PCPs). We thematically analyzed BHP meeting transcripts to elucidate mechanisms (i.e. mediating processes), determinants (hinderances/enablers), preconditions (necessary factors) and moderators at which strategies influenced outcomes. Results There were 605 CoCM eligible patients with 757 index visits post-strategy deployment. The mean age was 47.7 (SD = 17.3); 80% were female, 15% Black, 51% Hispanic; 41% were on an antidepressant. In the multi-level vs. system-level arm, reach was 39.1% vs. 44.9% (OR = 0.78; 95% CI 0.49, 1.22, p = 0.27); reach-maintenance 31.4% vs. 37.3% (OR = 0.77; 95% CI 0.50, 1.19, p = 0.23) and adoption 40.5% vs. 46.1% (OR = 0.74; 95% CI 0.42, 1.31, p = 0.29). Pre- vs. post reach improved in the multi-level (30.0% to 39.1%; (OR = 1.37, 95%CI 0.94, 2.00) and system-level (30.4% to 44.9%; OR = 1.93, 95%CI 1.31, 2.85) arms, with similar trends in adoption and reach-maintenance. Strategy mechanisms included improved BHP-PCP-patient communication and CoCM adaptability (i.e. number of visits, quality improvement); hinderances PCP resistance; moderators resources and PCP/patient motivation, and preconditions depression/anxiety screening quality, all described in the full text along with effectiveness and implementation (i.e. intervention/strategy fidelity) metrics. Conclusions There was no difference between system- and multi- (system plus PCP) level strategies for CoCM sustainability-implementation. Waning PCP involvement, despite clinician-targeted strategies, remains a key barrier to sustainability. Clinicaltrials.gov: NCT05085886. Submitted 9/28/2021

Implementation Science
Kingston Technology (United States) (US), NewYork–Presbyterian Hospital (US), University of California, San Francisco (US), Columbia University Irving Medical Center (US), Stony Brook School (US), Presbyterian Hospital (US), SBH Behavioral Health (US), Kingston Health Sciences Centre (CA)
Openalex Percentile: Top 5%
Health Policy Implementation Science
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