From the Mountain Area Health Education Center (MAHEC), Asheville, NC (MF, ZW, SH); University of North Carolina (UNC) School of Medicine Chapel Hill, NC (SH, EBF, CGW); Centers for Disease Control and Prevention Foundation, Atlanta, GA (EBF); UNC Health Sciences at MAHEC Asheville, NC (EBF, CGW); UNC Eshelman School of Pharmacy, Chapel Hill, NC (CGW).
J Am Board Fam Med. 2020 Jan-Feb;33(1):124-128. doi: 10.3122/jabfm.2020.01.190228.
Opioid use disorder (OUD) affects 2 million Americans, yet many patients do not receive treatment. Lack of team-based care is a common barrier for office-based opioid treatment (OBOT). In 2015, we started OBOT in a family medicine practice. Based on our experiences, we developed a financial model for hiring a team member to provide nonbillable OBOT services through revenue from increased patient volume.
We completed a retrospective chart review from July 2015 to December 2016 to determine the average difference in medical visits per patient per month pre-OBOT versus post-OBOT. Secondary outcomes were the percentage of visits coded as a Level 3, Level 4, and Level 5, and the percentage of patients with Medicaid, private insurance, or self pay. With this information, we extrapolated to build a financial model to hire a team member to support OBOT.
Twenty-three patients received OBOT during the study period. There was a net increase of 1.93 visits per patient per month ( < .001). Fourteen patients were insured by Medicaid, 7 had private insurance, and 2 were self pay. Twenty-three percent of OBOT visits were Level 3, 69% were Level 4, and 8% were Level 5. Assuming all visits were reimbursed by Medicaid and accounting for 20% cost of business, treating 1 existing patient for 1 year would generate $1,439. Treating 1 new patient would generate $1,677.
In a fee-for-service model, the revenue generated from increased medical visits can offset the cost of hiring a team member to support nonbillable OBOT services.
阿片类药物使用障碍(OUD)影响了 200 万美国人,但许多患者并未接受治疗。缺乏团队式医疗是基层阿片类药物治疗(OBOT)的常见障碍。我们于 2015 年在一家家庭医疗诊所开始提供 OBOT。基于我们的经验,我们制定了一个财务模型,通过增加患者数量带来的收入来雇佣一名团队成员提供非计费性 OBOT 服务。
我们对 2015 年 7 月至 2016 年 12 月的病历进行了回顾性分析,以确定 OBOT 前后每个患者每月的平均就诊次数差异。次要结果包括编码为 3 级、4 级和 5 级就诊的比例,以及有医疗补助、私人保险或自费的患者比例。根据这些信息,我们进行了推断,以建立一个财务模型来雇佣一名团队成员来支持 OBOT。
在研究期间,有 23 名患者接受了 OBOT。每个患者每月的净就诊次数增加了 1.93 次(<0.001)。14 名患者有医疗补助,7 名有私人保险,2 名自费。23%的 OBOT 就诊为 3 级,69%为 4 级,8%为 5 级。假设所有就诊都由医疗补助报销,并考虑到 20%的业务成本,治疗 1 名现有患者 1 年将产生 1439 美元。治疗 1 名新患者将产生 1677 美元。
在按服务收费的模式下,增加医疗就诊产生的收入可以抵消雇佣一名团队成员来支持非计费性 OBOT 服务的成本。