Department of Internal Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, AL 35294-2050, USA.
Clin Infect Dis. 2012 Jan 1;54(1):141-7. doi: 10.1093/cid/cir727. Epub 2011 Oct 31.
Computerized collection of standardized measures of patient reported outcomes (PROs) provides a novel paradigm for data capture at the point of clinical care. Comparisons between data from PROs and Electronic Health Records (EHR) are lacking. We compare EHR and PRO for capture of depression and substance abuse and their relationship to adherence to antiretroviral therapy (ART).
This retrospective study includes HIV-positive patients at an HIV clinic who completed an initial PRO assessment April 2008-July 2009. The questionnaire includes measures of depression (PHQ-9) and substance abuse (ASSIST). Self-reported ART adherence was modeled using separate logistic regression analyses (EHR vs PRO).
The study included 782 participants. EHR vs PRO diagnosis of current substance abuse was 13% (n = 99) vs 6% (n = 45) (P < .0001), and current depression was 41% (n = 317) vs 12% (n = 97) (P < .0001). In the EHR model, neither substance abuse (OR = 1.25; 95% CI = 0.70-2.21) nor depression (OR = 0.93; 95% CI = 0.62-1.40) was significantly associated with poor ART adherence. Conversely, in the PRO model, current substance abuse (OR = 2.78; 95% CI = 1.33-5.81) and current depression (OR = 1.93; 95% CI = 1.12-3.33) were associated with poor ART adherence.
The explanatory characteristics of the PRO model correlated best with factors known to be associated with poor ART adherence (substance abuse; depression). The computerized capture of PROs as a part of routine clinical care may prove to be a complementary and potentially transformative health informatics technology for research and patient care.
通过计算机收集患者报告的结果(PRO)的标准化测量值为在临床护理点提供了一种新颖的数据采集模式。PRO 数据与电子健康记录(EHR)之间的比较尚不多见。我们比较了 EHR 和 PRO 对抑郁和药物滥用的检测,并评估其与抗逆转录病毒治疗(ART)依从性的关系。
本回顾性研究纳入了 2008 年 4 月至 2009 年 7 月期间在艾滋病诊所接受初始 PRO 评估的 HIV 阳性患者。问卷包括抑郁(PHQ-9)和药物滥用(ASSIST)的评估。采用独立的逻辑回归分析模型(EHR 与 PRO)对自我报告的 ART 依从性进行建模。
该研究共纳入了 782 名参与者。EHR 与 PRO 诊断当前药物滥用的比例分别为 13%(n=99)和 6%(n=45)(P<.0001),当前抑郁的比例分别为 41%(n=317)和 12%(n=97)(P<.0001)。在 EHR 模型中,药物滥用(OR=1.25;95%CI=0.70-2.21)和抑郁(OR=0.93;95%CI=0.62-1.40)均与 ART 依从性差无显著相关性。相反,在 PRO 模型中,当前药物滥用(OR=2.78;95%CI=1.33-5.81)和当前抑郁(OR=1.93;95%CI=1.12-3.33)与 ART 依从性差相关。
PRO 模型的解释性特征与已知与 ART 依从性差相关的因素(药物滥用;抑郁)相关性最好。将 PRO 作为常规临床护理的一部分进行计算机化采集,可能会成为一种补充性的、具有潜在变革性的健康信息学技术,可用于研究和患者护理。