Project ECHO (Extension for Community Healthcare Outcomes) is a teleconsultation model for enhancing the treatment of underserved patients in primary care. Previous behavioral health (BH) adaptations of Project ECHO have primarily focused on adults or specific diagnoses and have relied on self-reported outcomes. The purpose of this pilot was to adapt Project ECHO to support pediatric primary care providers in addressing common BH needs and to conduct an initial evaluation of its effectiveness. Overall, participants reported high levels of satisfaction and a statistically significant improvement in their overall knowledge and skills ( P = 0.001). Participation was also associated with a reduction in the use of psychotropic polypharmacy. This pilot adds to a growing body of literature suggesting that Project ECHO is a promising workforce development approach to build competencies for the management of BH issues in primary care.

Background:Poor utilization of standardized outcome measures for monitoring patient care and progress in mental health services is evident. The objective of this work was to implement computerized diagnostic and history assessments for outpatient mental health visits in the ambulatory psychiatric clinic of a large pediatric health system.Methods:A computerized assessment system was created for the iPad to administer and score a series of validated diagnostics before new patient and follow-up appointments with a psychiatry provider. Outcome measures were a percentage of completed assessments, provider satisfaction, and patient satisfaction.Results:Across all outpatient psychiatry clinics, screener completion rate for new patients increased from 0% to 90% within 1 year of implementation and sustained within 3σ process control limits for 2 years. Return visit assessment completion increased from 0% to 80%. The most substantial completion rate increase was related to scheduling assessment time as part of the visit. Assessment of provider and patient satisfaction through surveys before and after the implementation showed 94% of providers felt that visit efficiency had improved, and overall opinion of the system was highly positive. Patients also reported high satisfaction with the assessment process (4.1 on Likert scale 0–5, 5 = very positive).Conclusions:This quality improvement program demonstrates strategies for overcoming barriers to the use of standardized assessments in outpatient psychiatry. We show that a large pediatric mental health system can achieve systematic outcome data collection with minimal disruption to routine clinical care.

Introduction: Efficient access to pediatric mental health services is a growing concern as the number of patients increases and outpaces efforts to expand services. This study outlines interventions implemented using quality improvement (QI) science and methodology to demonstrate how a clinic embedded in a large children’s hospital can improve access to the first appointment for a population seeking pain management services. Methods: A process improvement project started with a QI team, whose members designed interventions to change scheduling practices. Initial changes involved decreased time between calls to families, and efforts to streamline notifications among clinicians. Additional interventions included a close examination of waitlist assignment based on appropriateness and assessing patient interest in treatment. Results: Within 3 months of implementation, a significant decline in wait time occurred for patients seeking services for pain management, from 106 to 48 days. This change remained stable for 6 months. In light of a sharp increase in referrals and wait time during the study period, efforts to engage additional clinicians in managing referrals resulted in wait time to stabilize at an average of 63 days to the first appointment. This change remained for 10 months. Scheduling changes did not negatively affect other providers. Conclusions: This study demonstrates the application of QI science to improve patient access to mental health care. Future directions will focus on enhancing the use of the electronic health record, along with previsit family engagement.

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Willing for their invaluable suggestions and help with various aspects of research and results. I would also thank Ms. Rodica McCoy for helping me patiently in getting started with various instruments for my laboratory work. Also, I would like to convey special thanks to Ranjith, for his understanding and patience during tough times; Rupa, for her endurance and a continuous support; Rajmohan for his valuable inputs and suggestions to my thesis work.