Using session recordings to understand the content of community‐based treatment for childhood anxiety disorders and response to technology‐based training
AbstractObjectiveThe goal of the current study is to advance efforts to increase the quality of care for childhood anxiety disorder (CADs) through (1) detailing the content of community‐based treatment sessions, (2) exploring the validity of therapist surveys, (3) examining the influence of setting differences, and (4) testing the effects of a technology‐based training on use of nonexposure strategies.MethodsThirteen therapists were randomly assigned to technology‐based training in the use of exposure therapy or treatment as usual (TAU) for CADs. Therapeutic techniques were coded from 125 community‐based treatment sessions.ResultsConsistent with survey responses community therapists spent the majority of session time reviewing symptoms (34% of session time), implementing nonexposure cognitive behavioral therapy (CBT; 36%), and rarely engaged in exposure (3%). An integrated behavioral health setting was associated with greater endorsement of exposure on survey, p < 0.05, although this difference was not significant in session recordings, p = 0.14. Multilevel models indicated that technology‐based training that has been shown to increase exposure, also decreased use of nonexposure CBT techniques (2% vs. 29%, p < 0.001).ConclusionThe study supports the validity of survey‐based findings that community‐based care for CADs consists of non‐exposure CBT techniques. Efforts should be invested in dissemination of within‐session exposure.
Methodology for a Mental Health Plan for Health Care Workers
From Collaborative Care to Population-based Management for Depression in Primary Care: Development of Clinical Databases and Applications for Quality Improvement and Research
Abstract Background: To describe the process of developing an evolving database for Mayo Clinic primary care patients who screen positive for depression. The databases will support a broad use of these data for current and future quality improvement and research efforts. The description of their development will serve as an example for other institutions attempting to create similar data resources. Methods: The adult database (patients aged ³ 18) has data from 2007 and the adolescent database (patients aged 12 to < 18) from 2011. To be included, a patient had to be eligible for collaborative care model as a primary care patient with at least moderate symptoms of unipolar depression. The patient did not have to be enrolled in collaborative care model. The main domains of measurement are demographics, social determinants of health, mental health and substance abuse conditions, other comorbidities, interaction with collaborative care model, and questionnaire results. The data is being continuously updated as new data becomes available. Results: The adult database currently includes 117,619 unique patients with a mean age of 44.7 years, and is 66.4% female, and 88.1% non-Hispanic white. The adolescent database includes 14,684 unique patients with a mean age of 14.8 years, is 66.7% female, and 79.7% non-Hispanic white. Conclusions: These large, longitudinal, and evolving databases are a key step towards developing a learning environment to improve quality of care and conduct population-based research for patients with depression in primary care settings.
Integration of mental health and supportive care in individuals with schizophrenia and cancer: Assertive community treatment model
Key points Persons with severe and persistent mental illness (SPMI) experience disparities in accessing and initiating cancer treatment The assertive community treatment (ACT) model promotes the integration of physical and mental health care and improves the quality of life for a patient diagnosed with cancer The ACT model is essential in promoting decisional capacity of those with SPMI and cancer diagnoses The ability to access 24‐h support from the ACT model provides psychological support to patients dealing with chronic physical health diagnoses Collaboration between cancer treatment teams and the multidisciplinary ACT team can improve treatment engagement and enhance a patient's natural support system
Health Promotion Programs and Policies in the Workplace: An Exploratory Study With Alaska Businesses
Analysis of Posttraumatic Stress Disorder, Depression, Anxiety, and Resiliency Within the Unique Population of Spontaneous Coronary Artery Dissection Survivors
Background Mental health after spontaneous coronary artery dissection ( SCAD ), a cause of myocardial infarction in young women, remains largely unexplored. We assessed the prevalence and severity of psychiatric symptoms after SCAD . Methods and Results Individuals with confirmed SCAD who consented to the Mayo Clinic “Virtual” Multicenter SCAD Registry were sent the Posttraumatic Stress Disorder Diagnostic Scale for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition , Patient Health Questionnaire‐9, Generalized Anxiety Disorder‐7, Anxiety Sensitivity Index, Connor‐Davidson Resilience Scale, 36‐Item Short‐Form Health Survey, and an SCAD ‐specific questionnaire. Among 782 patients contacted, 512 surveys were returned. Most respondents were women (97.5%), with median age at time of SCAD and survey completion of 47 and 52 years, respectively. Eighty‐two percent had at least one trauma, with mild or more posttraumatic stress disorder symptoms in 28%. Symptoms of anxiety and depression were observed in 41% and 32%, respectively. On multivariable analysis, those of younger age at first SCAD and low resiliency scored higher on measures of trauma, anxiety, and depression. Those with higher anxiety sensitivity had more severe anxiety and posttraumatic stress disorder symptoms. Emotional and social quality of life was higher in those with high resiliency scores. Time from SCAD event to survey completion was associated with lower Generalized Anxiety Disorder‐7 score severity. Conclusions Survivors of SCAD have significant rates of posttraumatic stress disorder, depression, and anxiety, which are associated with lower quality of life specifically among those with lower resiliency. Given the prevalence and potential impact, screening and treatment for the psychological distress is advised. Behavioral interventions targeted toward resiliency training may be beneficial for this patient population.
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.