Browsing by Author "Amspoker, Amber B."
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Item Feasibility of Group-Based Implementation Facilitation for Video Telemental Health(2023) Ecker, Anthony H.; Day, Giselle; Amspoker, Amber B.; Bryan, Jennifer L.; Day, Stephanie C.; Wassef, Miryam; Weaver, Kendra; Lindsay, Jan; James A. Baker III Institute for Public PolicyVideo telehealth experienced rapid growth throughout the COVID-19 pandemic in many healthcare sectors, including mental health. The Veterans Health Administration’s video telehealth platform, VA Video Connect, has been widely used to reach veterans who may have experienced difficulty accessing care, such as those living in rural areas or other barriers (e.g., transportation). Implementing VVC requires a multifaceted approach, including training providers on technical skills, increasing access to equipment for providers and veterans, and integrating VVC within the culture and processes of the clinic unit. Prior successful VVC implementation efforts in rural areas have focused on simultaneous one-on-one provider and leadership engagement using implementation facilitation (IF). However, given the rapid need for VVC expansion in light of limits and dangers associated with in-person care during the pandemic, our team developed group facilitation to increase the reach of VVC implementation through IF. Group facilitation combined training in technical and policy elements of VVC with IF with groups of providers from clinic units. This approach was designed to rapidly disseminate the necessary knowledge to conduct VVC combined with collaborative problem solving as a team to improve the ability of the clinical team to sustain VVC. Attendees were asked for feedback on the session through multiple choice and open-ended questions. Participants (N = 26) reported being highly satisfied with the training and reported a high degree of confidence in their ability to use VVC. Based on evaluation data and interview feedback, providers and clinic leaders were satisfied with group facilitation. Group facilitation may be a helpful tool in rapidly training clinical teams to implement and sustain video telemental health.Item Impact of team configuration and team stability on primary care quality(BioMed Central, 2019) Hysong, Sylvia J.; Amspoker, Amber B.; Hughes, Ashley M.; Woodard, Lechauncy; Oswald, Frederick L.; Petersen, Laura A.; Lester, Houston F.Background: The science of effective teams is well documented; far less is known, however, about how specific team configurations may impact primary care team effectiveness. Further, teams experiencing frequent personnel changes (perhaps as a consequence of poor implementation) may have difficulty delivering effective, continuous, well-coordinated care. This study aims to examine the extent to which primary care clinics in the Veterans Health Administration have implemented team configurations consistent with recommendations based on the Patient-Centered Medical Home model and the extent to which adherence to said recommendations, team stability, and role stability impact healthcare quality. Specifically, we expect to find better clinical outcomes in teams that adhere to recommended team configurations, teams whose membership and configuration are more stable over time, and teams whose clinical manager role is more stable over time. Methods/design: We will employ a combination of social network analysis and multilevel modeling to conduct a database review of variables extracted from the Veterans Health Administration’s Team Assignments Report (TAR) (one of the largest, most diverse existing national samples of primary care teams (nteams > 7000)), as well as other employee and clinical data sources. To ensure the examination of appropriate clinical outcomes, we will enlist a team of subject matter experts to select a concise set of clear, prioritized primary care performance metrics. We will accomplish this using the Productivity Measurement and Enhancement System, an evidence-based methodology for developing and implementing performance measurement. Discussion: We are unaware of other studies of healthcare teams that consider team size, composition, and configuration longitudinally or with sample sizes of this magnitude. Results from this study can inform primary care team implementation policy and practice in both private- and public-sector clinics, such that teams are configured optimally, with adequate staffing, and the right mix of roles within the team.