King C, Beard J, Crampin A C, Costello A, Mwansambo C, Cunliffe N A, Heyderman R S, French N, Bar-Zeev N
Institute for Global Health, University College London, 30 Guilford Street, London WC1N 1EH, United Kingdom.
Institute for Global Health, University College London, 30 Guilford Street, London WC1N 1EH, United Kingdom; London School of Hygiene and Tropical Medicine, London, United Kingdom.
Vaccine. 2015 Sep 11;33(38):4748-55. doi: 10.1016/j.vaccine.2015.07.062. Epub 2015 Jul 30.
Post-licensure real world evaluation of vaccine implementation is important for establishing evidence of vaccine effectiveness (VE) and programme impact, including indirect effects. Large cohort studies offer an important epidemiological approach for evaluating VE, but have inherent methodological challenges. Since March 2012, we have conducted an open prospective cohort study in two sites in rural Malawi to evaluate the post-introduction effectiveness of 13-valent pneumococcal conjugate vaccine (PCV13) against all-cause post-neonatal infant mortality and monovalent rotavirus vaccine (RV1) against diarrhoea-related post-neonatal infant mortality. Our study sites cover a population of 500,000, with a baseline post-neonatal infant mortality of 25 per 1000 live births. We conducted a methodological review of cohort studies for vaccine effectiveness in a developing country setting, applied to our study context. Based on published literature, we outline key considerations when defining the denominator (study population), exposure (vaccination status) and outcome ascertainment (mortality and cause of death) of such studies. We assess various definitions in these three domains, in terms of their impact on power, effect size and potential biases and their direction, using our cohort study for illustration. Based on this iterative process, we discuss the pros and cons of our final per-protocol analysis plan. Since no single set of definitions or analytical approach accounts for all possible biases, we propose sensitivity analyses to interrogate our assumptions and methodological decisions. In the poorest regions of the world where routine vital birth and death surveillance are frequently unavailable and the burden of disease and death is greatest We conclude that provided the balance between definitions and their overall assumed impact on estimated VE are acknowledged, such large scale real-world cohort studies can provide crucial information to policymakers by providing robust and compelling evidence of total benefits of newly introduced vaccines on reducing child mortality.
疫苗上市后在现实世界中的实施效果评估对于确立疫苗有效性(VE)证据及项目影响(包括间接影响)至关重要。大型队列研究为评估疫苗有效性提供了一种重要的流行病学方法,但存在固有的方法学挑战。自2012年3月以来,我们在马拉维农村的两个地点开展了一项开放性前瞻性队列研究,以评估13价肺炎球菌结合疫苗(PCV13)对新生儿期后婴儿全因死亡率的引入后有效性,以及单价轮状病毒疫苗(RV1)对腹泻相关新生儿期后婴儿死亡率的有效性。我们的研究地点覆盖了50万人口,新生儿期后婴儿的基线死亡率为每1000例活产25例。我们针对发展中国家背景下疫苗有效性的队列研究进行了方法学综述,并将其应用于我们的研究背景。基于已发表的文献,我们概述了在此类研究中定义分母(研究人群)、暴露(疫苗接种状态)和结局确定(死亡率和死亡原因)时的关键考虑因素。我们以我们的队列研究为例,评估这三个领域中的各种定义在对检验效能、效应大小、潜在偏倚及其方向的影响方面的情况。基于这个迭代过程,我们讨论了最终符合方案分析计划的优缺点。由于没有单一的一组定义或分析方法能考虑到所有可能的偏倚,我们建议进行敏感性分析以审视我们的假设和方法学决策。在世界上最贫困的地区,常规的出生和死亡生命监测常常无法开展,而疾病和死亡负担又最为沉重。我们得出结论,只要认识到定义及其对估计的疫苗有效性的总体假定影响之间的平衡,此类大规模的现实世界队列研究就能通过提供新引入疫苗在降低儿童死亡率方面总体益处的有力且令人信服的证据,为政策制定者提供关键信息。