Examining Burnout and Perspective on Videoconferencing in the Mental Health Workforce.

Objective: To examine burnout and perspectives on videoconferencing over time for the mental health workforce. Methods: Members of an academic psychiatry department completed two anonymous surveys about virtual work and burnout 18 months apart (T1n = 274, response rate = 66.8%; T2n = 227, response rate = 36.7%). A subset completed the burnout subscale of the Stanford Professional Fulfillment Index (T1n = 145; T2n = 127). Results: Respondents were well satisfied with videoconferencing at both time points and satisfaction was higher at T2. Videoconferencing was not perceived to contribute to feelings of fatigue at either time point and burnout levels decreased from T1 to T2. Conclusions: Videoconferencing is well received by the mental health workforce and is not widely perceived to contribute to feelings of fatigue. Longer use of videoconferencing coincided with decreased levels of burnout. There are likely benefits to virtual work for the mental health workforce and virtual work may be protective from burnout.

Patient Experiences With Telemental Health During the COVID-19 Pandemic.

Telemental health (TMH) was an effective and relatively well-accepted way of delivering mental health care prior to the COVID-19 pandemic and has become widely adopted through the pandemic. Although recent findings show telehealth remains relatively well accepted across health care broadly, little is known about how patient experiences of TMH may have changed through the pandemic as many sectors were virtualized. These findings describe patient experiences with TMH at an outpatient mental health clinic approximately 1 year after the clinic rapidly transitioned to full TMH due to COVID-19. Respondents are 137 adult patients. Most patients reported TMH to be extremely or very effective (85.0%) and better than anticipated (76.8%). Most patients (74.6%) were interested in continuing at least some visits by TMH after the pandemic. A small subset of patients who rated their relationship with their provider as better in-person than by TMH also reported a preference for most or all visits in-person. Results provide preliminary support that TMH remains a well-accepted option for many patients. Mental health clinics may best serve patients by offering a hybrid model of care that includes both TMH and in-person services.

Experiences of Mental Health Clinicians and Staff in Rapidly Converting to Full-Time Telemental Health and Work from Home During the COVID-19 Pandemic.

Background: The mitigation strategies for the COVID-19 pandemic pushed much of the mental health workforce to rapidly convert to full-time telemental health (TMH). For many people, this occurred in the context of working from makeshift home offices with novel distractions. We describe the results of an online survey of mental health clinicians and staff regarding their experiences in rapidly converting to full-time TMH and work from home (WFH) during COVID-19. Methods: Fourteen clinicians and 11 administrative staff from two outpatient mental health clinics in a large academic medical center completed the survey in May 2020. Results: More than 85% of participants rated the experience of providing or supporting full-time TMH care as "somewhat better" or "much better than expected." Clinicians and administrative staff reported perceptions that most clients were satisfied with TMH services. Identified TMH challenges included difficulty providing clinical forms and difficulties with technology. Identified benefits of WFH included lack of commute, time with loved ones, opportunities for self-care, and increased flexibility. Maintaining team cohesion and communication while working remotely, and setting boundaries between work and nonwork hours were identified as challenges. Nearly all respondents indicated a preference to continue some TMH from home in the future. Conclusions: Findings suggest that rapidly adopting TMH and WFH during a pandemic were well accepted. Should the progression of the pandemic require agile movement in and out of TMH and WFH, overcommunication and extra attention to supporting employee connection and morale are especially important.

Convergence in patient-therapist therapeutic alliance ratings and its relation to outcome in chronic depression treatment.

OBJECTIVE: This study tested whether discrepancy between patients' and therapists' ratings of the therapeutic alliance, as well as convergence in their alliance ratings over time, predicted outcome in chronic depression treatment. METHOD: Data derived from a controlled trial of partial or non-responders to open-label pharmacotherapy subsequently randomized to 12 weeks of algorithm-driven pharmacotherapy alone or pharmacotherapy plus psychotherapy. The current study focused on the psychotherapy conditions (N = 357). Dyadic multilevel modeling was used to assess alliance discrepancy and alliance convergence over time as predictors of two depression measures: one pharmacotherapist-rated (Quick Inventory of Depressive Symptoms-Clinician; QIDS-C), the other blind interviewer-rated (Hamilton Rating Scale for Depression; HAMD). RESULTS: Patients' and therapists' alliance ratings became more similar, or convergent, over the course of psychotherapy. Higher alliance convergence was associated with greater reductions in QIDS-C depression across psychotherapy. Alliance convergence was not significantly associated with declines in HAMD depression; however, greater alliance convergence was related to lower HAMD scores at 3-month follow-up. CONCLUSIONS: The results partially support the hypothesis that increasing patient-therapist consensus on alliance quality during psychotherapy may improve treatment and longer term outcomes.

Better health, less spending: Redesigning the transition from pediatric to adult healthcare for youth with chronic illness.

Adolescents and young adults (AYA) with serious chronic illnesses face costly and dangerous gaps in care as they transition from pediatric to adult health systems. New, financially sustainable approaches to transition are needed to close these gaps. We designed a new transition model for adolescents and young adults with a variety of serious chronic conditions. Our explicit goal was to build a model that would improve the value of care for youth 15-25 years of age undergoing this transition. The design process incorporated a review, analysis, and synthesis of relevant clinical and health services research; stakeholder interviews; and observations of high-performing healthcare systems. We identified three major categories of solutions for a safer and lower cost transition to adult care: (1) building and supporting self-management during the critical transition; (2) engaging receiving care; and (3) providing checklist-driven guide services during the transition. We propose that implementation of a program with these interventions would have a positive impact on all three domains of the triple aim - improving health, improving the experience of care, and reducing per capita healthcare cost. The transition model provides a general framework as well as suggestions for specific interventions. Pilot tests to assess the model's ease of implementation, clinical effects, and financial impact are currently underway.

Factors associated with clinically significant insomnia among pregnant low-income Latinas.

BACKGROUND: Poor sleep, common during pregnancy, is associated with negative health risks. The study aimed to identify predictors of clinically significant insomnia among pregnant Latinas. METHODS: A total of 1289 pregnant Latinas recruited from obstetric clinics completed the Insomnia Severity Index (ISI) and questions about demographics and sleep. RESULTS: Clinically significant insomnia (ISI≥10) was present among 17% of participants. Significant correlates of clinically significant insomnia were higher scores on the Edinburgh Postnatal Depression Scale (EPDS) after removing the sleep item (47% of women with EPDS≥9 and 9% with EPDS<9), completing measures in English (rather than Spanish: 26% versus 13%), and income but not pregnancy week, age, highest education level, or marital status. The highest percentage of clinically significant insomnia (59%) was experienced by women with EPDS≥9 who completed measures in English. The lowest percentage of clinically significant insomnia (6.2%) was experienced by women with EPDS<9 who completed measures in Spanish. CONCLUSIONS: In this sample of low-income, mostly Spanish-speaking pregnant Latinas, rates of clinically significant insomnia appear to be higher than rates among nonpregnant Latinas. Rates of clinically significant insomnia are particularly high among Latinas with elevated depressive symptom severity, a known risk for insomnia. Acculturation, as indicated by completing measures in English, may be another risk specific to Latinas, possibly owing to loss of some ethnicity-specific protective factors (e.g., social support, strong family ties, and group identity). It will be important to directly test this explanation in future research.

Detecting critical decision points in psychotherapy and psychotherapy + medication for chronic depression.

OBJECTIVE: We sought to quantify clinical decision points for identifying depression treatment nonremitters prior to end-of-treatment. METHOD: Data came from the psychotherapy arms of a randomized clinical trial for chronic depression. Participants (n = 352; 65.6% female; 92.3% White; mean age = 44.3 years) received 12 weeks of cognitive behavioral analysis system of psychotherapy (CBASP) or CBASP plus an antidepressant medication. In half of the sample, receiver operating curve analyses were used to identify efficient percentage of symptom reduction cut points on the Inventory of Depressive Symptoms-Self-Report (IDS-SR) for predicting end-of-treatment nonremission based on the Hamilton Rating Scale for Depression (HRSD). Sensitivity, specificity, predictive values, and Cohen's kappa for identified cut points were calculated using the remaining half of the sample. RESULTS: Percentage of IDS-SR symptom reduction at Weeks 6 and 8 predicted end-of-treatment HRSD remission status in both the combined treatment (Week 6 cut point = 50.0%, Cohen's κ = .42; Week 8 cut point = 54.3%, Cohen's κ = .45) and psychotherapy only (Week 6 cut point = 60.7%, Cohen's κ = .41; Week 8 cut point = 48.7%, Cohen's κ = .49). Status at Week 8 was more reliable for identifying nonremitters in psychotherapy-only treatment. CONCLUSIONS: Those with chronic depression who will not remit in structured, time-limited psychotherapy for depression, either with therapy alone or in combination with antidepressant medication, are identifiable prior to end of treatment. Findings provide an operationalized strategy for designing adaptive psychotherapy interventions.

The relationship between the therapeutic alliance and treatment outcome in two distinct psychotherapies for chronic depression.

OBJECTIVE: This study tested whether the quality of the patient-rated working alliance, measured early in treatment, predicted subsequent symptom reduction in chronically depressed patients. Secondarily, the study assessed whether the relationship between early alliance and response to treatment differed between patients receiving cognitive behavioral analysis system of psychotherapy (CBASP) vs. brief supportive psychotherapy (BSP). METHOD: 395 adults (57% female; Mage = 46; 91% Caucasian) who met criteria for chronic depression and did not fully remit during a 12-week algorithm-based, open-label pharmacotherapy trial were randomized to receive either 16-20 sessions of CBASP or BSP in addition to continued, algorithm-based antidepressant medication. Of these, 224 patients completed the Working Alliance Inventory-Short Form at Weeks 2 or 4 of treatment. Blind raters assessed depressive symptoms at 2-week intervals across treatment using the Hamilton Rating Scale for Depression. Linear mixed models tested the association between early alliance and subsequent symptom ratings while accounting for early symptom change. RESULTS: A more positive early working alliance was associated with lower subsequent symptom ratings in both the CBASP and BSP, F(1, 1236) = 62.48, p < .001. In addition, the interaction between alliance and psychotherapy type was significant, such that alliance quality was more strongly associated with symptom ratings among those in the CBASP treatment group, F(1, 1234) = 8.31, p = .004. CONCLUSIONS: The results support the role of the therapeutic alliance as a predictor of outcome across dissimilar treatments for chronic depression. Contrary to expectations, the therapeutic alliance was more strongly related to outcome in CBASP, the more directive of the 2 therapies.

Antenatal identification of major depressive disorder: a cohort study.

OBJECTIVE: The purpose of this study was to estimate the frequency of identification of major depressive disorder by providers during prenatal care. STUDY DESIGN: A cohort of pregnant women who were participating in a randomized controlled trial and who had received a diagnosis of major depressive disorder was examined. Women were included in the current study if prenatal clinic records were available and legible. RESULTS: Clinical depression was noted in 56% of prenatal charts and on 24% of problem lists. Physicians and certified nurse midwives noted depression equally (P = .935); physicians more frequently noted mental health referral (23% vs 0%; P = .01), and midwives more frequently included depression on the problem list (P = .01). Recent medication use, which was stopped before conception or study participation, predicted notation of depression in the chart (P = .001). CONCLUSION: Depression frequently is missed during pregnancy and, when identified, is underacknowledged as a problem. Women who have not recently used antidepressant medication are more likely to be missed. Better screening and acknowledgment are needed.

Patient treatment preference as a predictor of response and attrition in treatment for chronic depression.

BACKGROUND: Findings regarding the relationship between patient treatment preference and treatment outcome are mixed. This is a secondary data analysis investigating the relationship between treatment preference, and symptom outcome and attrition in a large two-phase depression treatment trial. METHODS: Patients met DSM-IV criteria for chronic forms of depression. Phase I was a 12-week, nonrandomized, open-label trial in which all participants (n = 785) received antidepressant medication(s) (ADM). Phase I nonremitters were randomized to Phase II, in which they received 12 weeks of either cognitive-behavioral system of psychotherapy (CBASP) + ADM (n = 193), brief supportive psychotherapy (BSP) + ADM (n = 187), or ADM only (n = 93). Participants indicated their treatment preference (medication only, combined treatment or no preference) at study entry. Symptoms were measured at 2-week intervals with the 24-item Hamilton Rating Scale for Depression (HAM-D). RESULTS: A large majority of patients reported a preference for combined treatment. Patients who preferred medication only were more likely to endorse a chemical imbalance explanation for depression, whereas those desiring combined treatment were more likely to attribute their depression to stressful experiences. In Phase I, patients who expressed no treatment preference showed greater rates of HAM-D symptom reduction than those with any preference, and patients with a preference for medication showed higher attrition than those preferring combined treatment. In Phase II, baseline treatment preference was not associated with symptom reduction or attrition. CONCLUSIONS: Treatment preferences may moderate treatment response and attrition in unexpected ways. Research identifying factors associated with differing preferences may enable improved treatment retention and response.

Cognitions and Insomnia Subgroups.

PURPOSE: This study explored cognitive predictors of multiple symptoms of insomnia (difficulty with sleep initiation, maintenance, and early morning awakenings) among a sample of individuals seeking cognitive-behavior therapy for insomnia. METHODS: Participants consisted of 146 clinical patients with insomnia of which 67 (45.89%) were classified as Single Symptoms subgroup and 79 (54.11%) as Combined subgroup. A receiver operating curve (ROC) analysis was conducted to identify predictors of Combined versus Single Symptom subgroups. The set of predictor variables included demographics, sleep-related cognitions, circadian preferences, depression symptoms, and self-report sleep parameters with insomnia subgroups (Combined versus Single Symptom only) as the dependent variable. RESULTS: The ROC analysis identified two significant predictors: Self Efficacy Scale (SES) < 23 and a 3-item subscale of the Glasgow Content of Thoughts Inventory (GCTI) assessing "thoughts about the environment" with scores ≥ 5. Post-hoc comparisons revealed that individuals with combined symptoms who had SES score < 23 had significantly longer sleep onset latency (SOL) and more number of nights with SOL>30 minutes, poorer sleep quality, higher insomnia severity, less morningness tendency, higher depression symptom severity, and more anxiety about anxiety and about sleep compared to individuals with SES score ≥ 23. CONCLUSIONS: These findings indicate that low self-efficacy and increased thoughts about the environment are associated with having multiple symptoms of insomnia. Further research should examine the specific role of self-efficacy and thought content in the etiology of individuals who suffer from multiple symptoms of insomnia.

Comparative data on child and adolescent cognitive measures associated with depression.

As a way to better understand the effects of treatment for depression, comparative data on measures of cognition have been compiled previously for adults. Such data should be able to aid the evaluation of cognition and cognitive change, and may provide valuable information for clinicians and researchers alike. In this article, analogous comparative data on cognitive measures associated with depression in children and adolescents are presented. The reviewed instruments assess cognitive errors, attributional style, dysfunctional attitudes, hopelessness, negative self-statements, and Beck's negative cognitive triad. As with adults, these data may have implications for enhancing understanding of empirically supported treatments for children and adolescents, may be useful in vulnerability research, and may be useful to clinicians seeking to develop treatment strategies and to gauge treatment effectiveness.