Department of Internal Medicine, University of California, Davis, Sacramento, CA, USA.
The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA.
Nicotine Tob Res. 2023 May 22;25(6):1135-1144. doi: 10.1093/ntr/ntad008.
Electronic referral (e-referral) to quitlines helps connect tobacco-using patients to free, evidence-based cessation counseling. Little has been published about the real-world implementation of e-referrals across U.S. health systems, their maintenance over time, and the outcomes of e-referred patients.
Beginning in 2014, the University of California (UC)-wide project called UC Quits scaled up quitline e-referrals and related modifications to clinical workflows from one to five UC health systems. Implementation strategies were used to increase site readiness. Maintenance was supported through ongoing monitoring and quality improvement programs. Data on e-referred patients (n = 20 709) and quitline callers (n = 197 377) were collected from April 2014 to March 2021. Analyses of referral trends and cessation outcomes were conducted in 2021-2022.
Of 20 709 patients referred, the quitline contacted 47.1%, 20.6% completed intake, 15.2% requested counseling, and 10.9% received it. In the 1.5-year implementation phase, 1813 patients were referred. In the 5.5-year maintenance phase, volume was sustained, with 3436 referrals annually on average. Among referred patients completing intake (n = 4264), 46.2% were nonwhite, 58.8% had Medicaid, 58.7% had a chronic disease, and 48.8% had a behavioral health condition. In a sample randomly selected for follow-up, e-referred patients were as likely as general quitline callers to attempt quitting (68.5% vs. 71.4%; p = .23), quit for 30 days (28.3% vs. 26.9%; p = .52), and quit for 6 months (13.6% vs. 13.9%; p = .88).
With a whole-systems approach, quitline e-referrals can be established and sustained across inpatient and outpatient settings with diverse patient populations. Cessation outcomes were similar to those of general quitline callers.
This study supports the broad implementation of tobacco quitline e-referrals in health care. To the best of our knowledge, no other paper has described the implementation of e-referrals across multiple U.S. health systems or how they were sustained over time. Modifying electronic health records systems and clinical workflows to enable and encourage e-referrals, if implemented and maintained appropriately, can be expected to improve patient care, make it easier for clinicians to support patients in quitting, increase the proportion of patients using evidence-based treatment, provide data to assess progress on quality goals, and help meet reporting requirements for tobacco screening and prevention.
电子转诊(e-referral)至戒烟热线有助于将使用烟草的患者与免费的、基于证据的戒烟咨询联系起来。关于美国卫生系统中电子转诊的实际实施情况、随时间的维护情况以及接受电子转诊患者的结果,相关报道甚少。
从 2014 年开始,加州大学(UC)范围内的项目名为“UC Quits”,将戒烟热线的电子转诊及其相关临床工作流程的修改从一个 UC 卫生系统扩展到五个。采用实施策略来提高站点准备就绪程度。通过持续监测和质量改进计划来支持维护。从 2014 年 4 月至 2021 年 3 月期间,收集了 20709 名接受电子转诊的患者(n = 20709)和 197377 名戒烟热线来电者(n = 197377)的数据。2021-2022 年期间对转诊趋势和戒烟结果进行了分析。
在 20709 名被转诊的患者中,戒烟热线联系了 47.1%,20.6%完成了入组,15.2%请求咨询,10.9%接受了咨询。在 1.5 年的实施阶段,共转诊了 1813 名患者。在 5.5 年的维护阶段,转诊量保持稳定,平均每年有 3436 名患者被转诊。在完成入组的接受转诊的患者中(n = 4264),46.2%是非白人,58.8%有医疗补助,58.7%有慢性病,48.8%有行为健康状况。在随机选择的随访样本中,电子转诊患者与一般戒烟热线来电者一样有可能尝试戒烟(68.5% vs. 71.4%;p =.23),30 天戒烟(28.3% vs. 26.9%;p =.52),6 个月戒烟(13.6% vs. 13.9%;p =.88)。
通过采用全系统方法,可以在住院和门诊环境中为不同人群建立和维持戒烟热线的电子转诊服务。戒烟结果与一般戒烟热线来电者相似。
本研究支持在医疗保健中广泛实施烟草戒烟热线的电子转诊。据我们所知,没有其他论文描述过在美国多个卫生系统中实施电子转诊的情况,也没有描述过它们是如何随时间维持的。如果电子健康记录系统和临床工作流程的修改得到适当的实施和维护,可以预期这将改善患者护理,使临床医生更容易支持患者戒烟,增加使用基于证据的治疗方法的患者比例,提供数据来评估质量目标的进展,并帮助满足烟草筛查和预防的报告要求。