IntroductionColorectal cancer (CRC) is a common but largely preventable disease with suboptimal screening rates despite national guidelines to screen individuals age 50–75. Single-component interventions aimed to improve screening uptake only modestly improve rates; data suggest that multi-modal approaches may be more effective.MethodsWe designed, implemented, and evaluated the impact of a multi-modal intervention on CRC screening uptake among unscreened patients in a large managed care population. Patient-level components included a mailed letter with education about screening options and pre-colonoscopy telephone counseling. For providers, we facilitated communication of screening test results and work-flow for abnormal results. System-level modifications included establishment of a patient navigator, expedited work-up for abnormal results, and stream-lined colonoscopy scheduling. We measured the rate of screening uptake overall, screening uptake by modality, change in the proportion of the population screened, and positive fecal immunochemical test (FIT) follow-up rates in the 1-year study period.ResultsThere were 5093 patients in the intervention cohort. Of these, 33.2% participated in FIT or colonoscopy screening within 1 year of the mailing. A total of 1078 (21.2%) participants completed a FIT and 611 (12.0%) completed a screening colonoscopy. The screening rate in the managed care population increased from 65.1 to 76.6%. Fifty-nine patients (5.5%) had a positive FIT, of which 30 (50.8%) completed a diagnostic colonoscopy.ConclusionMulti-modal interventions can result in substantial improvement in CRC screening uptake in large and diverse managed care populations.Translational ImpactHealth systems should shift their focus from single-level to multi-level interventions when addressing barriers to CRC screening.

Background Access to primary care was hindered by the coronavirus disease 2019 (COVID-19) pandemic. Objective Evaluate changes in health screening rates before and during the pandemic. Design Retrospective analysis of health maintenance and disease management screening rates among primary care patients before and during the pandemic. Participants Over 150,000 patients of a large, academic health system. Main Measures Six quality measures were analyzed: colon cancer, breast cancer, cervical cancer, diabetes Hgb A1C, diabetes eye, and diabetes nephropathy monitoring . Based on US Preventative Services Task Force screening guidelines, we determined which patients were due for at least one of the quality measures. We tracked completion rates during three time periods: pre-pandemic (January 1–March 3, 2020), stay-at-home (March 4–May 8, 2020), and phased reopening (May 9–July 8, 2020). Differences in quality measure completion rates were evaluated using mixed-effects logistic regression models. Key Results Compared to pre-pandemic rates, completion of all health screenings declined during the stay-at-home period: mammograms (OR: 0.34; 95% CI: 0.31–0.37), cervical cancer (OR: 0.83; 95% CI: 0.76–0.91), colorectal cancer (OR: 0.25; 95% CI: 0.23–0.28), diabetes eye (OR: 0.34; 95% CI: 0.29–0.41), diabetes Hgb A1c (OR: 0.41; 95% CI: 0.37–0.46), and diabetes nephropathy (OR: 0.46, 95% CI: 0.41–0.53). During phased reopening, completion of all quality measures increased compared to the stay-at-home period, except for cervical cancer screening (OR: 0.83; 95% CI: 0.76–0.92). There was a persistent reduction in completion of all quality measures, except for diabetic nephropathy monitoring (OR: 0.99; 95% CI: 0.89–1.09), during phased reopening compared to pre-pandemic. Conclusions Healthcare screening rates were reduced during the early part of the COVID-19 pandemic and did not fully recover to pre-pandemic rates by July 2020. Future research should aim to clarify the long-term impacts of delayed health screenings. New interventions should be considered for expanding remote preventative health services.

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Web-based technological innovations are increasingly being utilized to enhance the quality of healthcare. The UCLA Behavioral Health Checkup™ (BHC) is an innovative real-time, cloudbased behavioral health assessment and clinician decision making tool. This paper examines the implementation and acceptability of the BHC within the UCLA Health System. The BHC was successfully integrated into seven UCLA Behavioral Health Associates (BHA) behavioral health collaborative care settings. Components of successful integration included training of administrative and clinical staff in use of the BHC platform, including how best to introduce behavioral health screening and measurement to patients and caregivers. BHA adult patients and caregivers of BHA youth patients reported positive experiences with the BHC. As the BHC delivers results to providers in real-time, it provides a unique occasion to engage patients through immediate discussion of patient responses and to use results for guiding and customizing clinical care. In addition, the integration of BHC results into a primary care system's health record framework facilitates the coordination of care over time, providing an opportunity for measurement based treatment to target and treatment quality improvement.

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.