Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
Medical Research Council-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.
Glob Health Sci Pract. 2021 Sep 30;9(3):444-458. doi: 10.9745/GHSP-D-21-00157.
In South Africa, mortality rates among HIV-TB coinfected patients are among the highest in the world. The key to reducing mortality is integrating HIV-TB services, however, a generalizable implementation method and package of tested change ideas to guide the scale-up of integrated HIV-TB services are unavailable. We describe the implementation of a quality improvement (QI) intervention, health systems' weaknesses, change ideas, and lessons learned in improving integrated HIV-TB services.
Between December 1, 2016, and December 31, 2018, 8 nurse supervisors overseeing 20 primary health care (PHC) clinics formed a learning collaborative to improve a set of HIV-TB process indicators. HIV-TB process indicators comprised: HIV testing services (HTS), TB screening among PHC clinic attendees, isoniazid preventive therapy (IPT) for eligible HIV patients, antiretroviral therapy (ART) for HIV-TB coinfected patients, and viral load (VL) testing at month 12. Routine HIV-TB process data were collected and analyzed.
Key change interventions, generated by health care workers, included: patient-flow redesign, daily data quality checks; prior identification of patients eligible for IPT and VL testing. Between baseline and post-QI intervention, IPT initiation rates increased from 15.9% to 76.4% (=.019), HTS increased from 84.8% to 94.5% (=.110), TB screening increased from 76.2% to 85.2% (=.040), and VL testing increased from 61.4% to 74.0% (=.045). ART initiation decreased from 95.8% to 94.1% (=.481).
Although integrating HIV-TB services is standard guidance, existing process gaps to achieve integration can be closed using QI methods. QI interventions can rapidly improve the performance of processes, particularly if baseline performance is low. Improving data quality enhances the success of QI initiatives.
在南非,艾滋病毒-结核双重感染患者的死亡率位居世界前列。降低死亡率的关键是整合艾滋病毒-结核服务,然而,缺乏可推广的实施方法和经过测试的变革思路方案来指导艾滋病毒-结核服务的扩大。我们描述了在改善艾滋病毒-结核综合服务方面实施质量改进(QI)干预、卫生系统弱点、变革思路和经验教训的情况。
在 2016 年 12 月 1 日至 2018 年 12 月 31 日期间,8 名监督 20 个初级卫生保健(PHC)诊所的护士监督员组成了一个学习合作组织,以改善一系列艾滋病毒-结核流程指标。艾滋病毒-结核流程指标包括:艾滋病毒检测服务(HTS)、PHC 诊所就诊者的结核病筛查、适合的艾滋病毒患者的异烟肼预防性治疗(IPT)、艾滋病毒-结核双重感染患者的抗逆转录病毒治疗(ART)以及第 12 个月的病毒载量(VL)检测。收集和分析常规艾滋病毒-结核流程数据。
医护人员提出的主要变革干预措施包括:重新设计患者流程、每日进行数据质量检查、预先确定适合接受 IPT 和 VL 检测的患者。在 QI 干预前后,IPT 启动率从 15.9%增加到 76.4%(=0.019),HTS 从 84.8%增加到 94.5%(=0.110),结核病筛查从 76.2%增加到 85.2%(=0.040),VL 检测从 61.4%增加到 74.0%(=0.045)。ART 启动率从 95.8%下降到 94.1%(=0.481)。
尽管整合艾滋病毒-结核服务是标准指导,但使用 QI 方法可以缩小现有流程差距以实现整合。QI 干预可以迅速改善流程的绩效,特别是在基础绩效较低的情况下。提高数据质量可以增强 QI 举措的成功。