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评估一项艾滋病毒低风险快速护理任务转移计划的影响:以目标学习路线图为例

Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap.

作者信息

Tran Linh, Yiannoutsos Constantin T, Musick Beverly S, Wools-Kaloustian Kara K, Siika Abraham, Kimaiyo Sylvester, van der Laan Mark J, Petersen Maya

机构信息

Department of Biostatistics, UC Berkeley, 101 Haviland Hall, Berkeley, CA 94720, USA.

Department of Biostatistics, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.

出版信息

Epidemiol Methods. 2016 Dec;5(1):69-91. doi: 10.1515/em-2016-0004. Epub 2016 Nov 10.

Abstract

In conducting studies on an exposure of interest, a systematic roadmap should be applied for translating causal questions into statistical analyses and interpreting the results. In this paper we describe an application of one such roadmap applied to estimating the joint effect of both time to availability of a nurse-based triage system (low risk express care (LREC)) and individual enrollment in the program among HIV patients in East Africa. Our study population is comprised of 16,513 subjects found eligible for this task-shifting program within 15 clinics in Kenya between 2006 and 2009, with each clinic starting the LREC program between 2007 and 2008. After discretizing follow-up into 90-day time intervals, we targeted the population mean counterfactual outcome (i. e. counterfactual probability of either dying or being lost to follow up) at up to 450 days after initial LREC eligibility under three fixed treatment interventions. These were (i) under no program availability during the entire follow-up, (ii) under immediate program availability at initial eligibility, but non-enrollment during the entire follow-up, and (iii) under immediate program availability and enrollment at initial eligibility. We further estimated the controlled direct effect of immediate program availability compared to no program availability, under a hypothetical intervention to prevent individual enrollment in the program. Targeted minimum loss-based estimation was used to estimate the mean outcome, while Super Learning was implemented to estimate the required nuisance parameters. Analyses were conducted with the ltmle R package; analysis code is available at an online repository as an R package. Results showed that at 450 days, the probability of in-care survival for subjects with immediate availability and enrollment was 0.93 (95% CI: 0.91, 0.95) and 0.87 (95% CI: 0.86, 0.87) for subjects with immediate availability never enrolling. For subjects without LREC availability, it was 0.91 (95% CI: 0.90, 0.92). Immediate program availability without individual enrollment, compared to no program availability, was estimated to slightly albeit significantly decrease survival by 4% (95% CI 0.03,0.06, p<0.01). Immediately availability and enrollment resulted in a 7 % higher in-care survival compared to immediate availability with non-enrollment after 450 days (95% CI-0.08,-0.05, p<0.01). The results are consistent with a fairly small impact of both availability and enrollment in the LREC program on incare survival.

摘要

在对感兴趣的暴露因素进行研究时,应采用系统的路线图将因果问题转化为统计分析并解释结果。在本文中,我们描述了这样一种路线图在估计东非HIV患者中基于护士的分诊系统(低风险快速护理,LREC)可用时间和项目个体登记的联合效应方面的应用。我们的研究人群包括2006年至2009年期间在肯尼亚15家诊所中符合此任务转移项目条件的16513名受试者,每家诊所于2007年至2008年启动LREC项目。在将随访离散化为90天的时间间隔后,我们针对在三种固定治疗干预下初始符合LREC条件后长达450天的总体平均反事实结局(即死亡或失访的反事实概率)。这三种干预分别是:(i)在整个随访期间无项目可用;(ii)在初始符合条件时项目立即可用,但在整个随访期间未登记;(iii)在初始符合条件时项目立即可用且登记。我们还估计了在假设防止个体登记项目的干预下,项目立即可用与无项目可用相比的受控直接效应。使用基于最小损失的靶向估计来估计平均结局,同时采用超级学习来估计所需的干扰参数。使用ltmle R包进行分析;分析代码可在一个在线存储库中作为R包获取。结果显示,在450天时,项目立即可用且登记的受试者的护理期内存活概率为0.93(95%置信区间:0.91,0.95),项目立即可用但从未登记的受试者的存活概率为0.87(95%置信区间:0.86,0.87)。对于无LREC可用的受试者,存活概率为0.91(95%置信区间:0.90,0.92)。估计项目立即可用但无个体登记与无项目可用相比,虽略有但显著降低了4%的存活率(95%置信区间0.03,0.06,p<0.01)。450天后,项目立即可用且登记与项目立即可用但未登记相比,护理期内存活率高7%(95%置信区间 -0.08,-0.05,p<0.01)。结果表明LREC项目的可用和登记对护理期内存活率的影响相当小。

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