Behavioral cancer pain intervention using videoconferencing and a mobile application for medically underserved patients: Rationale, design, and methods of a prospective multisite randomized controlled trial.

BACKGROUND: Women with breast cancer in medically underserved areas are particularly vulnerable to persistent pain and disability. Behavioral pain interventions reduce pain and improve outcomes. Cancer patients in medically underserved areas receive limited adjunctive cancer care, as many lack access to pain therapists trained in behavioral interventions, face travel barriers to regional medical centers, and may have low literacy and limited resources. mHealth technologies have the potential to decrease barriers but must be carefully adapted for, and efficacy-tested with, medically underserved patients. We developed an mHealth behavioral pain coping skills training intervention (mPCST-Community). We now utilize a multisite randomized controlled trial to: 1) test the extent mPCST-Community reduces breast cancer patients' pain severity (primary outcome), pain interference, fatigue, physical disability, and psychological distress; 2) examine potential mediators of intervention effects; and 3) evaluate the intervention's cost and cost-effectiveness. METHODS/DESIGN: Breast cancer patients (N = 180) will be randomized to mPCST-Community or an attention control. mPCST-Community's four-session protocol will be delivered via videoconferencing at an underserved community clinic by a remote pain therapist at a major medical center. Videoconference sessions will be supplemented with a mobile application. Participants will complete self-report measures at baseline, post-intervention, and 3- and 6-month follow-ups. CONCLUSIONS: mPCST-Community has the potential to reduce pain and disability, and decrease barriers for cancer patients in medically underserved areas. This is one of the first trials to test an mHealth behavioral cancer pain intervention developed specifically for medically underserved communities. If successful, it could lead to widespread implementation and decreased health disparities.

Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model.

This Longitudinal patient navigation Matrix Model was developed to overcome barriers across the cancer care continuum by offering prepatients, patients, and their families with support services. The extraordinary heterogeneity of patient needs during cancer screening, risk assessment, treatment, and survivorship as well as the vast heterogeneity of oncology care settings make it nearly impossible to follow a static navigation model. Our model of patient cancer navigation is unique as it enhances the traditional model by being highly adaptable based on both patient and family needs and scalable based on institutional needs and resources (eg, clinical volumes, financial resources, and community-based resources). This relatively new operational model for system-wide and systematic navigation incorporates a carefully cultivated supportive care program that evolved over the last decade from a bottom up approach that identified patient and family needs and developed appropriate resources. A core component of this model includes shifting away from department-centric operations. This model does not require a patient to opt in or independently be able to report their needs or ask for services-it is an opt out model. The multidisciplinary "cross-training" model can also facilitate reimbursement and sustainability by clarifying the differentiating actions that define navigation services: identification of barriers to quality care and specific actions taken to overcome those barriers, across the full continue of cancer care from community engagement to survivorship or end-of-life care.

Disrupted expected value signaling in youth with disruptive behavior disorders to environmental reinforcers.

OBJECTIVE: Youth with disruptive behavior disorders (DBD), including conduct disorder (CD) and oppositional defiant disorder (ODD), have difficulties in reinforcement-based decision making, the neural basis of which is poorly understood. Studies examining decision making in youth with DBD have revealed reduced reward responses within the ventromedial prefrontal cortex/orbitofrontal cortex (vmPFC/OFC), increased responses to unexpected punishment within the vmPFC and striatum, and reduced use of expected value information in the anterior insula cortex and dorsal anterior cingulate cortex during the avoidance of suboptimal choices. Previous work has used only monetary reinforcement. The current study examined whether dysfunction in youth with DBD during decision making extended to environmental reinforcers. METHOD: A total of 30 youth (15 healthy youth and 15 youth with DBD) completed a novel reinforcement-learning paradigm using environmental reinforcers (physical threat images, e.g., striking snake image; contamination threat images, e.g., rotting food; appetitive images, e.g., puppies) while undergoing functional magnetic resonance imaging (fMRI). RESULTS: Behaviorally, healthy youth were significantly more likely to avoid physical threat, but not contamination threat, stimuli than youth with DBD. Imaging results revealed that youth with DBD showed significantly reduced use of expected value information in the bilateral caudate, thalamus, and posterior cingulate cortex during the avoidance of suboptimal responses. CONCLUSIONS: The current data suggest that youth with DBD show deficits to environmental reinforcers similar to the deficits seen to monetary reinforcers. Importantly, this deficit was unrelated to callous-unemotional (CU) traits, suggesting that caudate impairment may be a common deficit across youth with DBD.