Pragmatic Clinical Trial of Population Health, Portal-Based Depression Screening: the PORTAL-Depression Study.

BACKGROUND: A population health approach to depression screening using patient portals may be a promising strategy to proactively engage and identify patients with depression. OBJECTIVE: To determine whether a population health approach to depression screening is more effective than screening during clinic appointments alone for identifying patients with depression. DESIGN: A pragmatic clinical trial at an adult outpatient internal medicine clinic at an urban, academic, tertiary care center. PATIENTS: Eligible patients (n = 2713) were adults due for depression screening with active portal accounts. Patients with documented depression or bipolar disorder and those who had been screened in the year prior to the study were excluded. INTERVENTION: Patients were randomly assigned to usual (n = 1372) or population healthcare (n = 1341). For usual care, patients were screened by medical assistants during clinic appointments. Population healthcare patients were sent letters through the portal inviting them to fill out an online screener regardless of whether they had a scheduled appointment. The same screening tool, the Computerized Adaptive Test for Mental Health (CAT-MH™), was used for clinic- and portal-based screening. MAIN MEASURES: The primary outcome was the depression screening rate. KEY RESULTS: The depression screening rate in the population healthcare arm was higher than that in the usual care arm (43% (n = 578) vs. 33% (n = 459), p < 0.0001). The rate of positive screens was also higher in the population healthcare arm compared to that in the usual care (10% (n = 58) vs. 4% (n = 17), p < 0.001). CONCLUSION: Findings suggest depression screening via a portal as part of a population health approach can increase screening and case identification, compared to usual care. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03832283.

Implementation of an EHR-integrated web-based depression assessment in primary care: PORTAL-Depression.

Objectives: To integrate a computerized adaptive test for depression into the electronic health record (EHR) and establish systems for administering assessments in-clinic and via a patient portal to improve depression care. Materials and Methods: This article reports the adoption, implementation, and maintenance of a health information technology (IT) quality improvement (QI) project, Patient Outcomes Reporting for Timely Assessment of Life with Depression (PORTAL-Depression). The project was conducted in a hospital-based primary care clinic that serves a medically underserved metropolitan community. A 30-month (July 2017-March 2021) QI project was designed to create an EHR-embedded system to administer adaptive depression assessments in-clinic and via a patient portal. A multi-disciplinary team integrated 5 major health IT innovations into the EHR: (1) use of a computerized adaptive test for depression assessment, (2) 2-way secure communication between cloud-based software and the EHR, (3) improved accessibility of depression assessment results, (4) enhanced awareness and documentation of positive depression results, and (5) sending assessments via the portal. Throughout the 30-month observational period, we collected administrative, survey, and outcome data. Results: Attending and resident physicians who participated in the project were trained in depression assessment workflows through presentations at clinic meetings, self-guided online materials, and individual support. Developing stakeholder relationships, using an evaluative and iterative process, and ongoing training were key implementation strategies. Conclusions: The PORTAL-Depression project was a complex and labor-intensive intervention. Despite quick adoption by the clinic, only certain aspects of the intervention were sustained in the long term due to financial and personnel constraints.

An examination of adults on antipsychotic medication at risk for metabolic syndrome: a comparison with obese and eating disorder populations.

Little research has explored how eating disorders (ED) may be involved in the increased risk for metabolic syndrome in adults on antipsychotic medication. This pilot study compared participants on antipsychotic medication with obese and ED samples with respect to demographic and psychosocial factors. Participants (antipsychotic medication n = 12; obese n = 12; ED n = 12), were adults presenting to an outpatient psychiatry department (83.3% women; M age = 45.75 ± 11.5). Analysis of variance, analysis of covariance and chi-square tests were used to compare the samples. Participants on antipsychotic medications had a significantly lower mean body mass index than the obese (p < .001) and ED (p < .05) samples, as well as significantly lower Restraint Total scores (p < .05) and subjective binge episode frequency (p < .05) than the ED sample. The lack of significant differences that occurred between the antipsychotic medication sample and two eating disorder samples significantly different from one another indicates that this population may have unique symptomology and treatment needs.

Prescription of Long-Acting Injectable Antipsychotic Medications Among Outpatient Mental Health Care Service Providers.

OBJECTIVE: Long-acting injectable antipsychotic medications (LAIAPs) are a valuable and underused treatment for patients with chronic mental illnesses such as schizophrenia and bipolar disorder. This study aimed to examine prescription patterns of LAIAPs among outpatient mental health care service providers in the United States. METHODS: The authors conducted a secondary analysis of the 2020-2021 National Mental Health Services Survey to assess the percentage of outpatient mental health care service providers (N=9,433) that prescribed LAIAPs to patients. Descriptive statistics were calculated to describe the overall frequency of outpatient facilities prescribing LAIAPs and differences in the specific LAIAPs prescribed. The authors also conducted multivariable analyses to identify facility characteristics associated with likelihood of LAIAP prescribing. RESULTS: Across all outpatient mental health care service providers, 30.6% prescribed LAIAPs. Community mental health centers were most likely to prescribe LAIAPs (62.6%), whereas partial hospitalization and day programs were least likely (32.1%). The most used LAIAP was paliperidone palmitate (77.7%), and the least used was olanzapine pamoate (29.6%). Providers with programs specifically for patients with serious mental illness (59.5%) and providers with a dedicated first-episode psychosis program (58.2%) were more likely to prescribe LAIAPs than were providers without such programming. CONCLUSIONS: Prescription of LAIAPs is limited at outpatient mental health care service providers in the United States. Expansion of these services and diversification of delivery models are needed to improve LAIAP prescriptions, which are associated with improved patient outcomes across a broad range of measures.

Association between wait time and behavioral health appointment attendance across patient characteristics.

Adequate access to behavioral health (BH) services is a critical issue. Many patients who are referred to BH care miss their appointments. One barrier to BH care is that longer wait times decrease the likelihood of appointment attendance. The present study examines the relationship between the wait time for BH services and appointment attendance, overall and by multiple patient characteristics. Logistic regression was performed to analyze the association between wait time and patient attendance for BH referrals made from March 1, 2016, to February 28, 2019, at an urban academic medical center. In total, 1,587 referrals were included. Most patients were female (72%) and of non-Hispanic/Latinx Black race (55%). Each additional week of waiting between the referral and scheduled appointment was associated with a 5% decrease in odds of attendance. In adjusted race/ethnicity-stratified analyses, Hispanic/Latinx patients had a 9% lower odds of attendance per week of waiting. Non-Hispanic/Latinx White and Black patients had a 5% lower odds of attendance per week of waiting. Patients with private insurance had a 7% lower odds of attendance per week of waiting, and patients with Medicare had a 6% lower odds of attendance per week of waiting. Limiting scheduling may improve BH care utilization by decreasing the rate of "no shows." (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Population Health Management Approach to Depression Symptom Monitoring in Primary Care via Patient Portal: A Randomized Controlled Trial.

Depression is undertreated in primary care. Using patient portals to administer regular symptom assessments could facilitate more timely care. At an urban academic medical center outpatient clinic, patients with active portal accounts and depression on their problem list or a positive screen in the past year were randomized to assessment during triage at visits (usual care) versus usual care plus assessment via portal (population health care). Portal invitations were sent regardless of whether patients had scheduled appointments. More patients completed assessments in the population health care arm than usual care: 59% versus 18%, P < 0.001. Depression symptoms were more common among patients who completed their initial assessment via the portal versus in the clinic. In the population health care arm, 57% (N = 80/140) of patients with moderate-to-severe symptoms completed at least 1 follow-up assessment versus 37% (N = 13/35) in usual care. A portal-based population health approach could improve depression monitoring in primary care.

Improving Primary Care Behavioral Health Integration in an Academic Internal Medicine Practice: 2-Year Follow-Up.

This report details ongoing efforts to improve integration in the 2 years following implementation of the Primary Care Behavioral Health model at a general internal medicine clinic of an urban academic medical center. Efforts were informed by a modified version of the validated Level of Integration Measure, sent to all faculty and staff annually. At baseline, results indicated that the domains of systems integration, training, and integrated clinical practices had the greatest need for improvement. Over the 2 years, the authors increased availability of behavioral medicine appointments, improved depression screening processes, offered behavioral health training for providers, disseminated clinical decision support tools, and provided updates about integration progress during clinic meetings. Follow-up survey results demonstrated that physicians and staff perceived improvements in integration overall and in targeted domains. However, the main ongoing barrier to integration was insufficient behavioral health staff to meet patient demand for behavioral health services.

Measuring Perceived Level of Integration During the Process of Primary Care Behavioral Health Implementation.

Provider- and staff-perceived levels of integration were measured during implementation of a primary care behavioral health clinic; these data were used to tailor and evaluate quality improvement strategies. Providers and staff at an urban, academic, adult primary care clinic completed the 32-item Level of Integration Measure (LIM) at baseline and 7 months. The LIM assesses 6 domains of integrated care. Overall and domain scores were calibrated from 0 to 100, with ≥80 representing a highly integrated clinic. Response rate was 79% (N = 46/58) at baseline and 83% (N = 52/63) at follow-up. Overall, LIM score increased from 64.5 to 70.1, P = .001. The lowest scoring domains at baseline were targeted for quality improvement and increased significantly: integrated clinical practice, 60.0 versus 68.4, P < .001; systems integration, 57.0 versus 63.8, P = .001; and training, 56.7 versus 65.3, P = .001. Ongoing quality improvement, including organizational and financial strategies, is needed to achieve higher levels of integration.

Spatial serial order processing in schizophrenia.

The aim of this study was to examine serial order processing deficits in 21 schizophrenia patients and 16 age- and education-matched healthy controls. In a spatial serial order working memory task, one to four spatial targets were presented in a randomized sequence. Subjects were required to remember the locations and the order in which the targets were presented. Patients showed a marked deficit in ability to remember the sequences compared with controls. Increasing the number of targets within a sequence resulted in poorer memory performance for both control and schizophrenia subjects, but the effect was much more pronounced in the patients. Targets presented at the end of a long sequence were more vulnerable to memory error in schizophrenia patients. Performance deficits were not attributable to motor errors, but to errors in target choice. The results support the idea that the memory errors seen in schizophrenia patients may be due to saturating the working memory network at relatively low levels of memory load.