Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| R01HS025198 | U.S. AHRQ Grant/Contract | View source |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Agency for Healthcare Research and Quality (AHRQ) | FED |
Not provided
Not provided
Not provided
The purpose of this study is to examine the effectiveness of a multi-level intervention - centered around a web-application that facilitates depression screening, automated shared decision making (SDM), patient activation, and psychoeducation - on mental health treatment optimization among patients with elevated depressive symptoms with or without co-morbid anxiety receiving care in primary care clinics that offer collaborative care. The objectives of the study include: Leveraging user centered design to refine a strategy centered around an electronic SDM (eSDM) tool (aim 1), and assessing the effect of the strategy on provider behavior (aim 2) and on patient enrollment in depression treatment (aim 3).
Collaborative care, a team-based approach to integrating primary and behavioral health, is effective in reducing depressive and anxiety symptoms and improving clinical outcomes. However, attempts to optimize collaborative care in real world settings have been hindered by patient (stigma, low self-efficacy, low perceived treatment efficacy), provider (suboptimal symptom recognition and communication at referral), and system (limited resources, lack of screening) level barriers. Few if any prior studies have focused on assessing the effectiveness of multi-level strategies to optimize treatment engagement in primary care settings in the sustainability phase of collaborative care.
Using the behavior change wheel (BCW) framework, we created a multi-level strategy for optimizing treatment in primary care settings with collaborative care programs. The strategy involves system/staff-level problem solving, patient-level electronic screening, patient activation, and an automated shared decision-making tool in addition to primary care provider-level behavioral health education with automated decisional support.
The investigators now aim to test this multifaceted implementation strategy for optimizing treatment amongst patients with elevated depressive symptoms (with or without co-morbid anxiety) in the ambulatory care network (ACN) clinics of New York Presbyterian Hospital (NYPH) with established/mature collaborative care programs that predominantly care for socioeconomically disadvantaged and minority patients. We will randomize providers to either the multicomponent strategy or enhanced usual care. The investigators aim to assess the effectiveness of this intervention on patient engagement in mental health treatment (primary outcome) as well as on provider action to optimize/manage treatment (secondary outcome).
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| DepCare Intervention | Experimental | The clinic (administrators, staff, care managers) will receive quality improvement support and education around depression screening as well as local technical assistance for mental health treatment optimization. The cluster of primary care providers in the intervention arm will receive education and decisional support for optimizing mental health treatment and access to quality improvement/implementation meetings. When feasible, eligible patients will receive a tool that facilitates enhanced screening, diagnosis recognition, treatment selection support, psychoeducation, and activation. |
|
| Enhanced Usual Care | Active Comparator | The clinic (administrators, staff, care managers) will receive quality improvement support and education around depression screening as well as local technical assistance for mental health treatment optimization. The cluster of primary care providers and patients in the active comparator arm will have access to this clinic-level strategy (i.e., the same clinic level intervention as in the DepCare group), but will not receive any provider or patient-level interventions. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| DepCare | Behavioral | Primary Care Provider (1) One-time presentation or video with education and motivational messaging around collaborative care, functionality of the DepCare patient tool and optimal management of depression and comorbid anxiety (2) Quality improvement/ implementation team meetings on optimizing mental health treatment in primary care and DepCare (i.e., multi-level, multi-component intervention) implementation (3) Automatically-generated decisional support on individual patient treatment preferences (i.e., for every patient who receives the DepCare patient tool) Patient: Tool comprised of enhanced depression and anxiety screening (includes option for voice-over questions, point-and-click responses), and for those who screen positive for depressive symptoms (with or without comorbid anxiety), diagnosis recognition support, psycho-education, videos promoting patient engagement in treatment, and personalized medication selection support. |
| Measure | Description | Time Frame |
|---|---|---|
| Total proportion of patients who initiate or optimize depression treatment | The proportion of patients who initiate or optimize depression treatment, defined as those with at least 1 mental health visit or antidepressant fill during the 4 months following enrollment. Hypothesis 1: this proportion will be greater for patients of providers in the DepCare arm than for the Enhanced Usual Care arm | During 4 months post-index visit |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of patients whose providers take action to optimize depression treatment | The proportion of patients whose providers take action to optimize their patients' depression treatment at the index visit (baseline), defined as placing a mental health referral for collaborative care or other mental health services; initiating, intensifying, switching and/or combining antidepressant medications; and/or providing depression management counseling [i.e., on adherence to treatment regimen]. Hypothesis 2: this proportion will be greater for the DepCare arm than for the Enhanced Usual Care arm. |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Nathalie Moise, MD, MS | Florence Assistant Professor of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Columbia University Irving Medical Center/New York Presbyterian Hospital | New York | New York | 10032 | United States |
Upon request, we plan to make available a deidentified database that includes PHQ data, patient engagement, optimization, demographics and comorbidity characteristics of patients in our study Study protocol statistical analysis plan Analytic code. Within 1 year of publication of trial primary outcome results
Not provided
Within 1 year of publication of trial primary outcome results
de-identified database
Not provided
Not provided
| ID | Term |
|---|---|
| D003863 | Depression |
| ID | Term |
|---|---|
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
Not provided
Not provided
2 arm design with provider being the unit of randomization and patients being nested within provider
Not provided
Not provided
Treatment optimization assessor will be blinded to intervention vs. control start arm of the intervention.
|
| Enhanced Usual Care | Behavioral | Clinic-level (1) Quality Improvement Support and education around valid depression screening (2) Local technical support for mental health treatment optimization |
|
| Baseline |
| Change in proportion of patients receiving any depression treatment | Change from baseline in the proportion of patients receiving any treatment for depression, defined as filling an antidepressant and/or attending one or more mental health visits during the 4 months following enrollment. Hypothesis 3: This proportion will be greater for the DepCare arm than for the Enhanced Usual Care arm. | 4 months pre-Index Visit, 4 months post-index visit |
| Proportion of patients with at least 2 mental health visits | The proportion of patients with at least 2 mental health visits (i.e., with a mental health specialist). Hypothesis 4: This proportion will be greater for the DepCare arm than for the Enhanced Usual Care arm. | During 6 months post-index visit |
| Proportion of patients with at least 2 antidepressant fills | The proportion of patients with at least 2 antidepressant fills. Hypothesis 5: This proportion will be greater for the DepCare arm than for the Enhanced Usual Care arm. | During 6 months post-index visit |
| Mean decisional conflict scale | Mean decisional conflict (measures personal perceptions of uncertainty around choosing among treatment option, 10 items, range 0-100, higher score indicates greater conflict) of patients. Hypothesis 5: the mean decisional conflict will be lower for the DepCare arm than for the Enhanced Usual Care arm (in subset consented to receive tool only). | Baseline |