An Algorithm for Free Clinic Deployment: Bridging the Gap in Healthcare Access in Rural Pennsylvania

Shayann Ramedani, V. Khristov, M. Palisoc, Megan H Mendez Miller
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Abstract

Student-run free clinics play an essential role in meeting the needs of underserved populations while providing service-learning opportunities to health professions students. While these clinics have been an asset for many institutions, the success hinges on the successful selection of clinic locations, studying resource utilization, the receptiveness of the local population, and effective strategic planning. The Student-led and Collaborative Outreach Program for Health Equity (SCOPE) Free Mobile Clinic at the Pennsylvania State University College of Medicine was established in 2017 to address the needs of underserved populations in Central Pennsylvania. Starting from one clinic, SCOPE has grown to twelve different sites across the county and has addressed different needs in diverse populations from rural to urban. The clinic has reached 435 individuals, provided 95 consultations with attending physicians, and distributed more than 120 vaccinations in the three years it has been fully active. During its evolution, the organization has developed a guidance algorithm that is critical to its operations and expansion initiatives. This algorithm has enabled strategic community resource deployment, garnered interest from private nonprofit collaboration and local government investment. Based on objective data, we identified new patient populations and clinic sites. Here we describe our experience developing and utilizing our deployment algorithm and the challenges and lessons we learned in growing a novel clinic model in a rural landscape.
免费诊所部署的算法:弥合宾夕法尼亚州农村医疗服务的差距
学生开办的免费诊所在满足服务不足人群的需求方面发挥着重要作用,同时为卫生专业学生提供服务学习机会。虽然这些诊所一直是许多机构的资产,但成功与否取决于诊所地点的成功选择、资源利用率的研究、当地人口的接受度以及有效的战略规划。宾夕法尼亚州立大学医学院学生主导的健康公平合作外展计划(SCOPE)免费流动诊所成立于2017年,旨在满足宾夕法尼亚州中部服务不足人群的需求。从一家诊所开始,SCOPE已经发展到全县12个不同的地点,并满足了从农村到城市不同人群的不同需求。该诊所在全面活跃的三年里,已为435人提供了服务,为主治医生提供了95次咨询,并分发了120多次疫苗。在其发展过程中,该组织开发了一种对其运营和扩张举措至关重要的指导算法。该算法实现了社区资源的战略性部署,吸引了私人非营利合作和地方政府投资的兴趣。根据客观数据,我们确定了新的患者群体和诊所地点。在这里,我们描述了我们开发和利用部署算法的经验,以及我们在农村地区发展新型诊所模式所面临的挑战和教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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