Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Department of Health, Research, Informatics, and Technology, ICF, Atlanta, GA.
J Acquir Immune Defic Syndr. 2019 Sep 1;82 Suppl 1(Suppl 1):S53-S56. doi: 10.1097/QAI.0000000000001969.
Data to Care (D2C) is a strategy for using health departments' HIV surveillance data (HIV viral load and CD4 laboratory reports) to identify and re-engage not-in-care persons with HIV. In the current D2C model, there is a delay in the identification of persons not in care due to the time interval between recommended monitoring tests (ie, every 3-6 months) and the subsequent reporting of these tests to the health department.
Pharmacy claims and fulfillment data can be used to identify persons with HIV who have stopped filling antiretroviral therapy and are at risk of falling out of care. Because most antiretrovirals (ARVs) are prescribed as a 30-day supply of medication, these data can be used to identify persons who are not filling their medications on a monthly basis. The use of pharmacy claims data to identify persons not filling ARV prescriptions is an example of how "big data" can be used to conduct a modified D2C model.
Although a D2C strategy using pharmacy data has not been broadly implemented, a few health departments are implementing demonstration projects using this strategy. As the projects progress, processes and outcomes can be evaluated.
Tracking ARV refill data can be a more real-time indicator of poor adherence and can help identify HIV-infected persons at risk of falling out of HIV medical care.
Data to Care(D2C)是一种利用卫生部门的 HIV 监测数据(HIV 病毒载量和 CD4 实验室报告)来识别和重新接触未接受护理的 HIV 感染者的策略。在当前的 D2C 模式中,由于推荐的监测测试(即每 3-6 个月)之间的时间间隔以及随后向卫生部门报告这些测试,导致无法及时识别未接受护理的人员。
可以使用药房报销和履行数据来识别停止服用抗逆转录病毒疗法且有脱离护理风险的 HIV 感染者。由于大多数抗逆转录病毒药物(ARV)被规定为 30 天的药物供应,因此这些数据可用于识别每月未服用药物的人员。使用药房报销数据来识别未服用 ARV 处方的人员是如何利用“大数据”来进行修改后的 D2C 模型的一个例子。
尽管使用药房数据的 D2C 策略尚未广泛实施,但一些卫生部门正在实施使用该策略的示范项目。随着项目的进展,可以评估流程和结果。
跟踪 ARV 续药数据可以更实时地反映治疗依从性差的情况,并有助于识别有脱离 HIV 医疗护理风险的 HIV 感染者。