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1.
J Ambul Care Manage ; 47(2): 51-63, 2024.
Article in English | MEDLINE | ID: mdl-38441558

ABSTRACT

Learning collaboratives are seldom used outside of health care quality improvement. We describe a condensed, 10-week learning collaborative ("Telemedicine Hack") that facilitated telemedicine implementation for outpatient clinicians early in the COVID-19 pandemic. Live attendance averaged 1688 participants per session. Of 1005 baseline survey respondents, 57% were clinicians with one-third identifying as from a racial/ethnic minoritized group. Practice characteristics included primary care (71%), rural settings (51%), and community health centers (28%). Of three surveys, a high of 438 (81%) of 540 clinicians had billed ≥1 video-based telemedicine visit. Our learning collaborative "sprint" is a promising model for scaling knowledge during emergencies and addressing health inequities.


Subject(s)
COVID-19 , Telemedicine , Humans , Pandemics , Outpatients , COVID-19/epidemiology , Community Health Centers
2.
Telemed Rep ; 3(1): 137-148, 2022.
Article in English | MEDLINE | ID: mdl-36185467

ABSTRACT

Background: This article describes factors related to adoption, implementation, and effectiveness of the Virtual Pediatric Trauma Center intervention, which uses telehealth for trauma specialist consultations for seriously injured children. We aimed at (1) measuring RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) implementation outcomes and (2) identifying PRISM (Practical, Robust, Implementation, and Sustainability Model) contextual factors that influenced the implementation outcomes. Methods: This interim implementation evaluation of our telehealth trial used a convergent mixed-methods design. The quantitative component was a cross-sectional analysis of pediatric trauma encounters using electronic health records. The qualitative component was a thematic analysis of written and verbal feedback from providers and family advisory board meetings. We compared the quantitative and qualitative data by synthesizing them in a joint display table, organized by RE-AIM dimensions. We categorized these key findings into the PRISM domains. Results: During the first 10 months of this trial, 246 subjects were randomized, with 177 assigned to standard care and 69 assigned to telehealth. Four referring sites transitioned from standard care into their intervention period. PRISM contextual factors that influenced RE-AIM implementation outcomes included the following findings: Providers struggle to remember, interpret, and navigate intervention workflows; providers have preconceived ideas about the intervention purpose; the intervention mitigates parents' anxieties about the transfer process. Discussion: This study revealed implementation challenges that influence the overall success of this telehealth trial. Early identification of these challenges allows our team the opportunity to address them now to optimize the intervention reach, adoption, and implementation. This early action will ultimately enhance the success of our trial and the ability of our intervention to achieve broad impact.

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