Background

Depression causes significant morbidity, which impacts mental health, overall general health outcomes, everyday functioning and quality of life. This study aims to contribute to knowledge in the field through enhanced understanding of factors that influence depression response and remission, with consideration for design of treatment services to optimize depression outcomes within integrated care programs.

Methods

Using routine behavioral health screening and electronic health record data, we identified a retrospective cohort consisting of 615 adult patients receiving depression treatment within an integrated care program. Cohort member Patient Health Questionnaire (PHQ-9) data was analyzed for the 6 months following initiation of treatment. Multinomial regression models were estimated to identify factors associated with depression treatment response (PHQ-9 < 10) and remission (PHQ-9 < 5).

Results

At 6 months, 47% of patients demonstrated treatment response and 16% demonstrated remission. Baseline trauma symptoms and suicidal ideation were significantly associated with decreased odds of achieving remission (Odds Ratio (95% CI) [OR] = 0.45 (0.23, 0.88) and OR = 0.49 (0.29, 0.82), respectively). In fully adjusted models, baseline suicidal ideation remained significant (OR = 0.53 (0.31, 0.89)) and some evidence of an association persisted for baseline trauma symptoms (OR = 0.51 (0.25, 1.01)).

Conclusions

After controlling for baseline depression symptoms, the presence of suicidal ideation is associated with reduced likelihood of remission. Increased understanding of factors associated with depression treatment outcomes may be employed to help guide the delivery and design of clinical services. Alongside routine screening for co-morbid anxiety, suicidal ideation and traumatic stress should be assessed and considered when designing depression treatment services.

Patients with behavioral health disorders often have worse health outcomes and have higher health care utilization than patients with medical diseases alone. As such, people with behavioral health conditions are important populations for accountable care organizations (ACOs) seeking to improve the efficiency of their delivery systems. However, ACOs have historically faced numerous barriers in implementing behavioral health population-based programs, including acquiring reimbursement, recruiting providers, and integrating new services. We developed an evidence-based, all-payer collaborative care program called Behavioral Health Associates (BHA), operated as part of UCLA Health, an integrated academic medical center. Building BHA required several innovations, which included using our enterprise electronic medical record for behavioral health referrals and documentation; registering BHA providers with insurance plans' mental health carve-out products; and embedding BHA providers in primary care practices throughout the UCLA Health system. Since 2012 BHA has more than tripled the number of patients receiving behavioral health services through UCLA Health. After receiving BHA treatment, patients had a 13 percent reduction in emergency department use. Our efforts can serve as a model for other ACOs seeking to integrate behavioral health care into routine practice.

Given the high rates at which patients present with behavioural health (BH) concerns in primary care (PC), this setting has become the de facto mental health system. As a result, screening for depression and other BH conditions in PC has become a critical target for improving patient outcomes. However, integration of screening into busy PC workflows can be challenging due to barriers such as limited time and resources. A digital, cloud-based BH assessment tool, which included electronic health record enhancements, was developed and implemented in two urban PC practices as a prelude to a planned larger-scale implementation. The implementation strategies included a reorganisation of workflows within the PC setting, comprehensive training for staff and PC physicians, and institution of an incentive programme for PC clinic managers. To examine whether the introduction of the cloud-based BH assessment tool and associated implementation strategies was associated with increased screening rates, we compared rates of screening from January through June 2017 to rates of screening from January through June 2018 (subsequent to implementation). We also examined BH symptomatology reported by patients in PC. Following the implementation process, rate of BH screening with Patient Health Questionnaire-2 (PHQ-2) increased from 50.5% to 57% (p<0.00000000000000022) and rates of subsequent screening with PHQ-9, for those scoring at risk, defined as a score of ≥1, on PHQ-2, increased from 34.5% to 91.4% (p<0.00000000000000022). Additionally, high rates of 'moderate' and 'severe' symptoms of depression (40.3%), anxiety (42.6%) and substance use (26.7% alcohol; 31.2% other substance use) were observed among PC patients. Results suggest that a comprehensive implementation plan, including digitisation of BH assessment, reduced the burden of systematic screening. High rates of BH symptomatology underscore the need for comprehensive BH assessment and systems planning to address the high need for BH services among PC patients.