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.

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.

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.

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.

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.

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.

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.

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.

Validation of an IVRS version of the MADRS.

Interest in self-reported measures of depression in clinical trials has grown in recent years. This study compared the reliability and validity of the clinician-administered Montgomery-Asberg Depression Rating Scale (MADRS) to a computer-administered version administered over the telephone using Interactive Voice Response (IVR) technology. Sixty subjects were administered both the clinician- and computer-administered versions of the MADRS in a counter-balanced order. A subsample of 20 patients was reassessed 24h later by both methods. Mean score differences between IVR and clinician were not statistically significant (<1 point) and a high correlation was found between forms (r=.815, p<.001). Reliability measures (Cronbach's Alpha and 24-h test-retest) were comparable. Clinicians rated the severity of subjects' sadness and pessimistic thoughts lower than subjects self-report. The data obtained in this pilot study provide support for the equivalence between the clinician and IVR versions of the MADRS.

Double-disease management or one care manager for two chronic conditions: pilot feasibility study of nurse telephonic disease management for depression and congestive heart failure.

This study assessed the feasibility of a telephonic nurse double-disease management program (DDMP) for patients with depression and congestive heart failure. Thirty-five patients with depression and congestive heart failure were entered into a novel DDMP modeled after Wagner's chronic illness care model and implemented as part of a 13-month Breakthrough Series Collaborative administered by the Institute of Healthcare Improvement. Twenty-four patients remained in the program long enough to complete at least one follow-up assessment (ie, 6 weeks or longer). Patients were entered into the program based on depression severity scores from either the interactive voice response (IVR) version of the Hospital Anxiety and Depression Scale (HADS) or the self-administered (or telephonic) Patient Health Questionnaire (PHQ). Because use of the IVR version of the HADS was eliminated after several weeks into the program (because of poor patient acceptance), 19 patients had both entry and follow-up scores on the same instrument (PHQ). Depression "response" was defined as a 50% improvement in PHQ score. Mixed models regression was used to test the statistical significance of change in PHQ scores over time. Patient and clinician reports were obtained to evaluate program acceptability and satisfaction. Eighty-two percent of patients (n = 11) with Major Depressive Disorder (MDD) responded, and 75% of patients (n = 8) with "other depression" (PHQ score < 10) responded. Mean change in PHQ scores for the sample as a whole improved significantly over the 24 weeks of the program (p < 0.0003), as well as for those with major depression and other depression considered separately (p < 0.01 for both). In some patients who refused medication, depression seemed to respond to self-management support interventions of the care manager. Based on patient acceptance and clinicians' reports, the program appeared feasible and possibly effective. DDMP appears feasible and possibly effective. Future clinical trials are warranted.

Prevalence and burden of illness of migraine in managed care patients.

OBJECTIVE: To determine the 3-month prevalence rate of migraine in a health maintenance organization (HMO) population, using a 2-stage screening process and neurologist exam, and to examine the burden of illness associated with both previously diagnosed and previously undiagnosed migraine in this population METHODS: A migraine assessment was sent to a random sample of 1,000 HMO patients between April 1999 and January 2000. Those screening positive and a random sample of those screening negative for migraine were evaluated by neurologists using a structured diagnostic assessment. Then, those diagnosed to have migraines by the study's neurologists completed a battery of 3 questionnaires, evaluating severity, distress, and impairment RESULTS: Of 1,000 questionnaires sent, 753 (75.3%) were returned. The estimate of prevalence of migraine in this population ranged from 21.4% (adjusted for response bias) to 27.8% (unadjusted for selection bias). Only 48% of respondents had been previously diagnosed with migraine. The typical migraine caused moderate-to-severe distress in 69%, and 66% had definite or extreme interference in their social or occupational functioning. The average migraineur missed 7.6 hours of work due to migraine in the past 3 months. Previously undiagnosed migraine was associated with substantial impairment, with 58% of responders reporting interference with daily activities and 54% reporting moderate or greater distress. There was no significant difference between previously diagnosed and undiagnosed migraineurs on 3 outcome measures: pain, interference, or days of missed work. A higher proportion of previously diagnosed migraineurs (84%) reported moderate or greater distress compared with undiagnosed migraineurs (54%, P=0.002). CONCLUSIONS: Using a neurologist exam, the researchers found that the prevalence of migraine headaches was higher than previously reported. About one half of migraineurs had been previously undiagnosed. Undiagnosed migraine is associated with significant pain, distress, and dysfunction and is similar in these respects to diagnosed migraine. Increased public education and physician education on migraine are warranted.

Applying depression-specific change concepts in a collaborative breakthrough series.

BACKGROUND: Twenty ethnically and geographically diverse health care organizations, including 15 Bureau of Primary Health Care centers, participated in an Institute for Healthcare Improvement (IHI) collaborative Breakthrough Series (BTS) project on depression. Teams attended three learning sessions that emphasized the chronic illness care model, key depression change concepts, and how to initiate plan-do-study-act cycles. RESULTS: Seventeen of the 20 organizations completing the BTS achieved a faculty assessment of at least a 4 (5 indicates significant improvement). More than 2000 patients initiated depression treatment and were registered in the plan's depression registries. Patients in the centers who used the recommended measures had the following outcomes: 56% had significant change in their depressive symptoms at 12 weeks, 87% completed follow-up assessments, 54% continued antidepressant medication for at least 10 weeks, and 90% completed a structured diagnostic assessment before treatment. DISCUSSION: On the basis of the feedback from ten successful teams, the essential change concepts for depression were establishing and maintaining a patient registry, care coordination, diagnostic assessment, and proactive follow-up. Many of the BTS centers have continued to expand their depression treatment programs. The IHI BTS appears to be a viable method of disseminating evidence-based depression care.

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.

Antidepressant medication management and Health Plan Employer Data Information Set (HEDIS) criteria: reasons for nonadherence.

BACKGROUND: While nationwide data have found that many patients do not meet the National Committee for Quality Assurance uniform standards for successful antidepressant treatment, reasons for this failure are not well understood. We examined the reasons for this failure through a systematic chart review. METHOD: A chart review was conducted on a random sample of 249 health maintenance organization patients who failed 1 or more of the 3 Health Plan Employer Data Information Set criteria (i.e., 3 follow-up visits or adequate duration of acute or continuation phase treatment). RESULTS: The most common reason for visits failure (N = 192) was that the patient restarted a previously prescribed successful antidepressant (N = 30, 16%). In 23 patients (12%), the patient had a visit with the prescribing provider, but mental health was not coded or documented in the case notes. Twenty-one percent (N = 40) were misclassified as not having 3 visits. The most common reasons for misclassification were mental health was discussed but not coded (N = 16, 8%) and wrong start dates due to use of medication samples (N = 10, 5%). Patient nonadherence was the most common reason for failure to meet adequate acute (N = 109) and continuation (N = 99) phase duration of treatment (13% and 24%, respectively); only 9% stopped taking medication in the acute phase due to side effects. Twenty-five percent of patients had told their doctor they were taking their medication while the pharmacy database found they were not. CONCLUSION: A large discrepancy between patients' actual and reported compliance was found and may in part account for physicians' inability to detect and thus address this issue. Patients' restarting a previous medication is common and warrants discussion regarding differential need for visit frequency.

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.