Cognitive behavioral therapy for depressive disorders: Outcomes from a multi-state, multi-site primary care practice.

BACKGROUND: Individuals with depressive disorders often present to and seek treatment in primary care. Integrated behavioral health services within this setting can improve access to evidence-based cognitive behavioral therapy (CBT). However, limited information exists on the effectiveness of CBT for depression in primary care. METHODS: Of the 1,302 participants with a primary depressive disorder referred by their primary care provider, 435 endorsed moderate to severe depression at baseline and engaged in at least one CBT session. A psychotherapy tracking database was used to collect relevant data, which included demographics, clinical characteristics, treatment outcomes, and CBT intervention use. RESULTS: Participants with moderate to severe depression who participated in CBT reported a significant decrease in depression and anxiety symptoms at the end of treatment (p ≤ .001, d = 0.52-0.78). Rates of reliable change, response, and remission and types of CBT interventions used differed between major and persistent depressive disorders. LIMITATIONS: Multiple limitations must be noted, which are related to the naturalistic study design, inclusion and exclusion criteria, sample operationalization, symptomatic measurement, time-limited and focused assessment, data collection strategies, and psychological services. Together, these temper the conclusions that can be drawn. CONCLUSION: Significant reductions in depression and anxiety symptoms were reported by participants with depressive disorders who engaged in short-term CBT within primary care. This study indicates that CBT can be implemented within primary care and suggests that primary care patients with depression can benefit from integrated psychological services, supporting population-based models of care.

Cognitive Behavioral Therapy for Anxiety Disorders: Outcomes From a Multi-State, Multi-Site Primary Care Practice.

BACKGROUND: Anxiety disorders are among the most common mental health conditions. Individuals with anxiety typically seek services in primary, rather than specialty, care. While there is significant evidence supporting the efficacy and effectiveness of cognitive behavioral therapy (CBT) for anxiety disorders, there have been no naturalistic studies reporting anxiety-specific treatment outcomes in primary care. METHODS: Participants (N = 1,589) were recruited from a multi-state, multi-site primary care practice, with 491 participants endorsing moderate to severe anxiety at baseline and engaging in at least one CBT session. Data was drawn from a psychotherapy tracking database. RESULTS: Among participants with moderate to severe anxiety who engaged in CBT, a significant decrease in anxiety and depression symptoms was observed over the course of psychotherapy (p< .001, d = 0.57-0.95). Rates of reliable change, response, and remission varied across diagnostic categories. The use of CBT interventions also varied across diagnoses in line with evidence-based treatment recommendations. DISCUSSION: Short-term CBT delivered in primary care is associated with significant improvements in anxiety and depression symptoms among participants with anxiety disorders. These findings support the use of a population-based approach to anxiety disorders treatment and suggest that evidence-based CBT can be implemented in the real-world setting.

Initial outcomes of a real-world multi-site primary care psychotherapy program.

OBJECTIVE: Although anxiety, mood, and adjustment disorders are commonly treated in primary care, little evidence exists regarding psychotherapy outcomes within this setting. The primary objective of this study was to describe outcomes of a large-scale primary care psychotherapy program. METHODS: Patients (N = 2772) participated in cognitive behavioral therapy (CBT) as part of a multi-site primary care program. A tracking system was utilized to collect data on demographics, diagnoses, course of care, anxiety and depressive symptoms, and frequencies of psychotherapy principles used over the course of primary care CBT. RESULTS: Anxiety disorders were most frequent, often comorbid with depression. Over two-thirds of the sample participated in at least one CBT session. Case formulation, cognitive interventions, exposure, and behavioral activation were frequently utilized approaches. Significant improvements on the GAD-7 and PHQ-9 occurred for all groups, yielding medium effect sizes (d = 0.50-0.68). Rates of reliable change (48-80%), response (35-53%), and remission (21-36%) were noted for those scoring in the moderate range of severity. CONCLUSION: Patients suffering from anxiety, depression, and adjustment disorders can be effectively treated in primary care with CBT. Future efforts are needed to match patient characteristics with the types and timing of therapy interventions to improve clinical and functional outcomes.

An Update on Telepsychiatry and How It Can Leverage Collaborative, Stepped, and Integrated Services to Primary Care.

INTRODUCTION: In this era of patient-centered care, telepsychiatry (TP; video or synchronous) provides quality care with outcomes as good as in-person care, facilitates access to care, and leverages a wide range of treatments at a distance. METHOD: This conceptual review article explores TP as applied to newer models of care (e.g., collaborative, stepped, and integrated care). RESULTS: The field of psychosomatic medicine (PSM) has developed clinical care models, educates interdisciplinary team members, and provides leadership to clinical teams. PSM is uniquely positioned to steer TP and implement other telebehavioral health care options (e.g., e-mail/telephone, psych/mental health apps) in the future in primary care. Together, PSM and TP provide versatility to health systems by enabling more patient points-of-entry, matching patient needs with provider skills, and helping providers work at the top of their licenses. TP and other technologies make collaborative, stepped, and integrated care less costly and more accessible. CONCLUSION: Effective health care delivery matches the intensity of the services to the needs of a patient population or clinic, standardizes interventions, and evaluates both process and clinical outcomes. More research is indicated on the application of TP and other technologies to these service delivery models.

A quality improvement project aimed at adapting primary care to ensure the delivery of evidence-based psychotherapy for adult anxiety.

Primary care patients frequently present with anxiety with prevalence ratios up to 30%. Brief cognitive-behavioural therapy (CBT) has been shown in meta-analytic studies to have a strong effect size in the treatment of anxiety. However, in surveys of anxious primary care patients, nearly 80% indicated that they had not received CBT. In 2010, a model of CBT (Coordinated Anxiety Learning and Management (CALM)) adapted to primary care for adult anxiety was published based on results of a randomised controlled trial. This project aimed to integrate an adaptation of CALM into one primary care practice, using results from the published research as a benchmark with the secondary intent to spread a successful model to other practices. A quality improvement approach was used to translate the CALM model of CBT for anxiety into one primary care clinic. Plan-Do-Study-Act steps are highlighted as important steps towards our goal of comparing our outcomes with benchmarks from original research. Patients with anxiety as measured by a score of 10 or higher on the Generalized Anxiety Disorder 7 item scale (GAD-7) were offered CBT as delivered by licensed social workers with support by a PhD psychologist. Outcomes were tracked and entered into an electronic registry, which became a critical tool upon which to adapt and improve our delivery of psychotherapy to our patient population. Challenges and adaptations to the model are discussed. Our 6-month response rates on the GAD-7 were 51%, which was comparable with that of the original research (57%). Quality improvement methods were critical in discovering which adaptations were needed before spread. Among these, embedding a process of measurement and data entry and ongoing feedback to patients and therapists using this data are critical step towards sustaining and improving the delivery of CBT in primary care.

Patient-Centered Medical Home Membership Is Associated with Decreased Hospital Admissions for Emergency Department Behavioral Health Patients.

The objective was to examine the impact of a multipayer patient-centered medical home (PCMH) on health care utilization for behavioral health patients seen at a tertiary care emergency department (ED). A retrospective health records review was performed for PCMH and non-PCMH patients who presented and received a psychiatric consultation during a 2-year period in the ED of the Mayo Clinic Hospital in Rochester, Minnesota. Univariable and multivariable associations with the outcomes of admission and return visits within 72 hours were evaluated using logistic regression models and summarized with odds ratios (ORs) and 95% confidence intervals (CIs). There were 5398 visits among 3815 patients during the study period. Among these, there were 2440 (45%) PCMH patient visits. There were 2983 (55%) total patient visits resulting in an admission. In a univariable model, PCMH patients (53%) were less likely to be admitted from the ED compared with non-PCMH patients (57%) (OR 0.84; 95% CI 0.76-0.94; P = 0.002) and this remained statistically significant (OR 0.83; 95% CI 0.74-0.93; P = 0.001) after multivariable adjustment. Among the 2415 non-admitted patients, there was no significant difference in returns within 72 hours between PCMH patients (13%) and non-PCMH patients (12%) (OR 1.12; 95% CI 0.83-1.43; P = 0.36). PCMH membership was associated with a lower probability of inpatient hospitalization from the ED. PCMH interventions may be associated with a reduction in health care utilization.

Prediction of Primary Care Depression Outcomes at Six Months: Validation of DOC-6 ©.

BACKGROUND: The goal of this study was to develop and validate an assessment tool for adult primary care patients diagnosed with depression to determine predictive probability of clinical outcomes at 6 months. METHODS: We retrospectively reviewed 3096 adult patients enrolled in collaborative care management (CCM) for depression. Patients enrolled on or before December 31, 2013, served as the training set (n = 2525), whereas those enrolled after that date served as the preliminary validation set (n = 571). RESULTS: Six variables (2 demographic and 4 clinical) were statistically significant in determining clinical outcomes. Using the validation data set, the remission classifier produced the receiver operating characteristics (ROC) curve with a c-statistic or area under the curve (AUC) of 0.62 with predicted probabilities than ranged from 14.5% to 79.1%, with a median of 50.6%. The persistent depressive symptoms (PDS) classifier produced an ROC curve with a c-statistic or AUC of 0.67 and predicted probabilities that ranged from 5.5% to 73.1%, with a median of 23.5%. CONCLUSIONS: We were able to identify readily available variables and then validated these in the prediction of depression remission and PDS at 6 months. The DOC-6 tool may be used to predict which patients may be at risk for worse outcomes.

Large-Scale Dissemination of Collaborative Care and Implications for Psychiatry.

The evidence is overwhelming that a collaborative care approach to common mental illnesses is superior to usual care. Why isn't this model widely available? The authors of this column argue that the problem is not a lack of evidence or documentation of a better model, but the need for adoption of implementation science and dissemination knowledge to bring collaborative care into practice. They discuss the challenge of providing mental health care in the United States, the evidence that collaborative care is effective and can play a major role in expanding mental health services, the science of dissemination, six successful large-scale dissemination programs for collaborative care, and the implications of this shift in care delivery for psychiatry and all mental health providers.

Treatment outcomes of depression: the pharmacogenomic research network antidepressant medication pharmacogenomic study.

BACKGROUND: The effectiveness of selective serotonin reuptake inhibitors (SSRIs) in patients with major depressive disorder (MDD) is controversial. AIMS: The clinical outcomes of subjects with nonpsychotic MDD were reported and compared with the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study outcomes to provide guidance on the effectiveness of SSRIs. METHODS: Subjects were treated with citalopram/escitalopram for up to 8 weeks. Depression was measured using the Quick Inventory of Depressive Symptomatology-Clinician Rated (QIDS-C16) and the 17-item Hamilton Depression Rating Scale. RESULTS: The group of subjects with at least 1 follow-up visit had a remission (QIDS-C16 ≤ 5) rate of 45.8% as well as a response (50% reduction in QIDS-C16) rate of 64.8%, and 79.9% achieved an improvement of 5 points or higher in QIDS-C16 score. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study subjects were more likely to achieve a response than STAR*D study subjects. After adjustment for demographic factors, the response rates were not significantly different. When reporting the adverse effect burden, 60.5% of the subjects reported no impairment, 31.7% reported a minimal-to-mild impairment, and 7.8% reported a moderate-to-severe burden at the 4-week visit. CONCLUSIONS: Patients contemplating initiating an SSRI to treat their MDD can anticipate a high probability of symptom improvement (79.9%) with a low probability that their symptoms will become worse. Patients with lower baseline severity have a higher probability of achieving remission. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study replicates many findings of the first phase of the STAR*D study after controlling for the differences between the studies.

Impact of symptom remission on outpatient visits in depressed primary care patients treated with collaborative care management and usual care.

Depression symptoms contribute to significant morbidity and health care utilization. The aim of this study was to determine the impact of symptom improvement (to remission) on outpatient clinical visits by depressed primary care patients. This study was a retrospective chart review analysis of 1733 primary care patients enrolled into collaborative care management (CCM) or usual care (UC) with 6-month follow-up data. Baseline data (including demographic information, clinical diagnosis, and depression severity) and 6-month follow-up data (Patient Health Questionnaire scores and the number of outpatient visits utilized) were included in the data set. To control for individual patient complexity and pattern of usage, the number of outpatient visits for 6 months prior to enrollment also was measured as was the presence of medical comorbidities. Multiple logistic regression analysis demonstrated that clinical remission at 6 months was an independent predictor of outpatient visit outlier status (>8 visits) (odds ratio [OR] 0.609, confidence interval (CI) 0.460-0.805, P<0.01) when controlling for all other independent variables including enrollment into CCM or UC. The OR of those patients not in remission at 6 months having outpatient visit outlier status was the inverse of this at 1.643 (CI 1.243-2.173). The most predictive variable for determining increased outpatient visit counts after diagnosis of depression was increased outpatient visits prior to diagnosis (OR 4.892, CI 3.655-6.548, P<0.01). In primary care patients treated for depression, successful treatment to remission at 6 months decreased the likelihood of the patient having more than 8 visits during the 6 months after diagnosis.

Integration of mental health resources in a primary care setting leads to increased provider satisfaction and patient access.

OBJECTIVE: This evaluation assessed the opinions and experiences of primary care providers and their support staff before and after implementation of expanded on-site mental health services and related system changes in a primary care clinic. METHOD: Individual semistructured interviews, which contained a combination of open-ended questions and rating scales, were used to elicit opinions about mental health services before on-site system and resource changes occurred and repeated following changes that were intended to improve access to on-site mental health care. RESULTS: In the first set of interviews, prior to expanding mental health services, primary care providers and support staff were generally dissatisfied with the availability and scheduling of on-site mental health care. Patients were often referred outside the primary care clinic for mental health treatment, to the detriment of communication and coordinated care. Follow-up interviews conducted after expansion of mental health services, scheduling refinements and other system changes revealed improved provider satisfaction in treatment access and coordination of care. Providers appreciated immediate and on-site social worker availability to triage mental health needs and help access care, and on-site treatment was viewed as important for remaining informed about patient care the primary care providers are not delivering directly. CONCLUSIONS: Expanding integrated mental health services resulted in increased staff and provider satisfaction. Our evaluation identified key components of satisfaction, including on-site collaboration and assistance triaging patient needs. The sustainability of integrated models of care requires additional study.

Sustaining practice change one year after completion of the national depression management leadership initiative.

OBJECTIVE: This report describes the sustainability of quality improvement interventions for depression care in psychiatric practice one year after the completion of the National Depression Management Leadership Initiative (NDMLI) in 2006. The main intervention involved continued use of the nine-item depression scale of the Patient Health Questionnaire (PHQ-9) for routine care of patients with depressive disorders. METHODS: One year after project completion, lead psychiatrists from the 17 participating practices were surveyed about the sustainability of key practice interventions and dissemination of the interventions. RESULTS: All 14 practices that provided baseline and follow-up data reported sustained use of the PHQ-9 for screening, diagnosis, or monitoring purposes. Moreover, practices reported dissemination of this approach to clinicians within and outside their practices. CONCLUSIONS: Psychiatrists reported sustainability and dissemination of PHQ-9 use one year after the conclusion of the NDMLI. The model has potential as a depression care improvement strategy and is worthy of additional study.

Patient self-assessment factors predictive of persistent depressive symptoms 6 months after enrollment in collaborative care management.

BACKGROUND: Collaborative care management (CCM) is effective for improving depression outcomes. However, a subset of patients will still have symptoms after 6 months. This study sought to determine whether routinely obtained baseline clinical, demographic, and self-assessment variables would predict which patients endorse persistent depressive symptoms (PDS) after 6 months. By estimating the relative risk associated with the patient variables, we aimed to outline the combinations of factors predictive of PDS after CCM enrollment. METHODS: We retrospectively reviewed 1,110 adult primary care patients with the diagnosis of major depressive disorder enrolled in a CCM program and evaluated those with PDS (defined as patient health questionnaire-9score ≥10) 6 months after enrollment. RESULTS: At baseline, an increased depression severity, worsening symptoms of generalized anxiety, an abnormal screening on the mood disorder questionnaire (MDQ) and the diagnosis of recurrent episode of depression were independent predictors of PDS. A patient with severe, recurrent depression, an abnormal MDQ screen, and severe anxiety at baseline had a predicted 42.1% probability of PDS at 6 months. In contrast, a patient with a moderate, first episode of depression, normal MDQ screen, and no anxiety symptoms had a low probability of PDS at 6.6%. CONCLUSIONS: This study identified several patient self-assessment scores and clinical diagnosis that markedly predicted the probability of PDS 6 months after diagnosis and enrollment into CCM. Knowledge of these high-risk attributes should alert the clinician to monitor select patients more closely and consider altering therapy appropriately.

Depression remission after six months of collaborative care management: role of initial severity of depression in outcome.

Aim The impact of initial severity of depression on the rate of remission has not been well studied. The hypothesis for this study was that increased depression severity would have an inverse relationship on clinical remission at six months while in collaborative care management. Participants The study cohort was 1128 primary care patients from a south-eastern Minnesota practice and was a longitudinal retrospective chart review analysis. Results Clinical remission at six months was less likely in the severe depression group at 29.6% compared with 36.9% in the moderately severe group and 45.6% in the moderate depression group (P < 0.001). Multivariate analysis of a sub-group demonstrated that increased initial anxiety symptoms (odds ratio [OR] 0.9645, 95% confidence interval [CI] 0.9345-0.9954, P = 0.0248) and an abnormal screening for bipolar disorder (OR 0.4856, 95% CI 0.2659-0.8868, P = 0.0187) predicted not achieving remission at six months. A patient with severe depression was significantly less likely to achieve remission at six months (OR 0.6040, 95% CI 0.3803-0.9592, P = 0.0327) compared with moderate depression, but not moderately severe depression (P = 0.2324). There was no statistical difference in the adjusted means of the PHQ-9 score for those patients who were in remission at six months. However, in the unremitted patients, the six-month PHQ-9 score was significantly increased by initial depression severity when controlling for all other variables. Conclusion Multivariate analysis in our study demonstrated that patients with severe depression have a decreased OR for remission at six months compared with moderate depression. Also, there was a significant increase in the six-month PHQ-9 score for those unremitted patients in the severe vs. moderate depression groups.

Age of depressed patient does not affect clinical outcome in collaborative care management.

Clinical response and remission for the treatment of depression has been shown to be improved utilizing collaborative care management (CCM). Prior studies have indicated that the presence of mental health comorbidities noted by self-rated screening tools at the intake for CCM are associated with worsening outcomes; few have examined directly the impact of age on clinical response and remission. The hypothesis was that when controlling for other mental health and demographic variables, the age of the patient at implementation of CCM does not significantly impact clinical outcome, and that CCM shows consistent efficacy across the adult age spectrum. We performed a retrospective chart analysis of a cohort of 574 patients with a clinical diagnosis of major depression (not dysthymia) treated in CCM who had 6 months of follow-up data. Using the age group as a categorical variable in logistic regression models demonstrated that while maintaining control of all other variables, age grouping remained a nonsignificant predictor of clinical response (P ≥ 0.1842) and remission (P ≥ 0.1919) after 6 months of treatment. In both models, a lower Generalized Anxiety Disorder-7 score and a negative Mood Disorder Questionnaire score were predictive of clinical response and remission. However, the initial Patient Health Questionnaire-9 score was a statistically significant predictor only for clinical remission (P = 0.0094), not for response (P = 0.0645), at 6 months. In a subset (n = 295) of the study cohort, clinical remission at 12 months was also not associated with age grouping (P ≥ 0.3355). The variables that were predictive of remission at 12 months were the presence of clinical remission at 6 months (odds ratio [OR], 7.4820; confidence interval [CI], 3.9301-14.0389; P < 0.0001), clinical response (with persistent symptoms) (OR, 2.7722; CI, 1.1950-6.4313; P = 0.0176), and a lower initial Patient Health Questionnaire-9 score (OR, 0.9121; CI, 0.8475-0.9816; P = 0.0140). Our study suggests that using CCM for depression treatment may transcend age-related differences in depression and result in positive outcomes regardless of age.

Depression outcomes in psychiatric clinical practice: using a self-rated measure of depression severity.

OBJECTIVES: This study determined rates of response and remission at 12 and 24 weeks among patients being treated by psychiatrists for depression on the basis of Patient Health Questionnaire-9 (PHQ-9) scores and identified factors associated with response and remission. METHODS: Adult patients at 17 psychiatric practices participating in the National Depression Management Leadership Initiative completed the PHQ-9 at every office visit for one year irrespective of severity or chronicity of symptoms or adherence to treatment. Treating psychiatrists recorded the date when formal self-management goals were documented. Patients with a diagnosis of depression and a PHQ-9 score ≥10 were included in the response and remission analysis. Results are based on "last observation carried forward" analysis. RESULTS: Of the 1,763 patients with a depressive disorder, 960 had PHQ-9 scores ≥10 (mean±SD of 16.4±4.6) on their first study visit, indicating moderate to severe depression. At 12 weeks, 41% of the 792 who returned for follow-up had responded to treatment, and by 24 weeks 45% had responded. Response was defined as a PHQ-9 score <10. Symptoms were in remission for 13% and 18% of patients at 12 and 24 weeks, respectively. Severity of initial PHQ-9 score, weeks to first follow-up, and documented self-management were the three factors that predicted remission. CONCLUSIONS: Administering the PHQ-9 at each visit allowed psychiatrists to determine rates of response and remission among patients, but as anticipated, the rates were lower than those reported in trials of efficacy and effectiveness of psychiatric treatment of depression.

Feasibility and validation of a computer-automated Columbia-Suicide Severity Rating Scale using interactive voice response technology.

OBJECTIVE: To evaluate a computer-automated version of the Columbia-Suicide Severity Rating Scale (C-SSRS) using interactive voice response technology (eC-SSRS™). The eC-SSRS assesses "Lifetime" ideations and behaviors at baseline and monitors suicidality prospectively thereafter. Ten control volunteers and ten psychiatric inpatients participated and were administered the C-SSRS at baseline and 4-8 days later by two experienced clinical trial raters. Study participants also completed the eC-SSRS using touch-tone telephones. Kappa measures of agreement compared inter-rater reliability of the C-SSRS administrations and the C-SSRS administrations with the eC-SSRS. Convergent validity with the Beck Scale for Suicide Ideation BSS and patient feedback forms were also evaluated. Twenty baseline and nineteen follow-up assessments were completed. In general, agreement between the eC-SSRS and each rater was comparable or superior to the agreement between both raters. Subject feedback and personal preferences varied across individuals, but were generally supportive of the feasibility and validity of the eC-SSRS. The reliability and validity of the C-SSRS and eC-SSRS for assessing suicidal ideation and behaviors were comparable in this first study comparing the methods. These data were obtained from relatively small patient samples recruited from a single investigational site over a relatively short follow-up period. They support the feasibility and validity of the eC-SSRS for prospective monitoring of suicidality for use in clinical trials or clinical care, but further research with larger samples, other patient populations, and longer follow-up periods is needed.

Systematic use of patient-rated depression severity monitoring: is it helpful and feasible in clinical psychiatry?

OBJECTIVE: The gap between evidence-based treatments and routine care has been well established. Findings from the Sequenced Treatments Alternatives to Relieve Depression (STAR*D) emphasized the importance of measurement-based care for the treatment of depression as a key ingredient for achieving response and remission; yet measurement-based care approaches are not commonly used in clinical practice. METHODS: The Nine-Item Patient Health Questionnaire (PHQ-9) for monitoring depression severity was introduced in 19 diverse psychiatric practices. During the one-year course of the project the helpfulness and feasibility of implementation of PHQ-9 in these psychiatric practices were studied. The project was modeled after the Institute for Healthcare Improvement Breakthrough Series. Two of the 19 practices dropped out during the course of the project. RESULTS: By the conclusion of the study, all remaining 17 practices had adopted PHQ-9 as a routine part of depression care in their practice. On the basis of responses from 17 psychiatrists from those practices, PHQ-9 scores influenced clinical decision making for 93% of 6,096 patient contacts. With the additional information gained from the PHQ-9 score, one or more treatment changes occurred during 40% of these clinical contacts. Changing the dosage of antidepressant medication and adding another medication were the most common treatment changes recorded by psychiatrists, followed by starting or increasing psychotherapy and by switching or initiating antidepressants. In 3% of the patient contacts, using the PHQ-9 led to additional suicide risk assessment. CONCLUSIONS: The study findings suggest that adopting measurement-based care, such as using the PHQ-9, is achievable, even in practices with limited resources.