Schumacher Leah M, Trilk Jennifer L, McNulty Lia K, Ylitalo Kelly R, Eskuri Stephanie, Brooks John M, Estabrooks Paul A, Jindal Meenu, Stoutenberg Mark
Temple University, Philadelphia, PA, USA.
University of South Carolina, School of Medicine Greenville, Greenville, SC, USA.
J Prim Care Community Health. 2024 Jan-Dec;15:21501319241306710. doi: 10.1177/21501319241306710.
Structured physical activity (PA) programs help to prevent and manage chronic diseases, yet systematic approaches to identify and enroll patients in these programs are lacking. Exercise is Medicine Greenville (EIMG) is a novel clinic-to-community model that identifies patients with chronic diseases in primary care settings and connects them to a structured, evidence-informed, community-based PA program. This study assessed influences on PA program enrollment using a mixed methods design.
Data were collected from 12 clinics over 18 months. Electronic health record data were used to quantitively compare the characteristics of referred patients who did versus did not enroll. Semi-structured interviews were conducted with a subset of non-enrollees to elucidate barriers and facilitators to enrollment.
Of the 217 referred patients who were eligible, 84 (38.7%) enrolled in the PA program. A greater percentage of enrollees had a history of high cholesterol (73.8%) relative to non-enrollees (57.9%, χ (1, N = 217) = 5.66, = .02). Twenty-six patients completed qualitative interviews. Three themes emerged from interviews: (1) positive referral experiences with opportunity for enhanced information sharing and improved flow; (2) strong patient motivation, perceived capability, and social support; and (3) external barriers, such as cost and time, that prevented enrollment.
Findings can guide improvements to the EIMG model, thus increasing its positive impact on individual- and community-level health. Findings can also inform efforts to build similar clinic-to-community PA models at other health systems.
结构化体育活动(PA)项目有助于预防和管理慢性病,但缺乏识别患者并使其参与这些项目的系统方法。格林维尔运动即良药(EIMG)是一种新型的从诊所到社区的模式,可在初级保健机构中识别慢性病患者,并将他们与结构化、基于证据且以社区为基础的PA项目联系起来。本研究采用混合方法设计评估了对PA项目注册的影响。
在18个月内从12家诊所收集数据。利用电子健康记录数据定量比较已注册和未注册的转诊患者的特征。对一部分未注册者进行了半结构化访谈,以阐明注册的障碍和促进因素。
在217名符合条件的转诊患者中,84名(38.7%)注册了PA项目。与未注册者(57.9%)相比,注册者中有更高比例的人有高胆固醇病史(73.8%,χ(1, N = 217) = 5.66,P = 0.02)。26名患者完成了定性访谈。访谈中出现了三个主题:(1)积极的转诊体验,有加强信息共享和改善流程的机会;(2)强烈的患者动机、感知能力和社会支持;(3)阻碍注册的外部障碍,如成本和时间。
研究结果可为改进EIMG模式提供指导,从而增强其对个人和社区层面健康的积极影响。研究结果还可为其他卫生系统建立类似的从诊所到社区的PA模式提供参考。