Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
Department of Medicine, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada.
BMJ Qual Saf. 2020 Apr;29(4):277-285. doi: 10.1136/bmjqs-2018-008664. Epub 2019 Jul 3.
We have designed a prospective adverse event (AE) surveillance method. We performed this study to evaluate this method's performance in several hospitals simultaneously.
To compare AE rates obtained by prospective AE surveillance in different hospitals and to evaluate measurement factors explaining observed variation.
We conducted a multicentre prospective observational study. Prospective AE surveillance was implemented for 8 weeks on the general medicine wards of five hospitals. To determine if population factors may have influenced results, we performed mixed-effects logistic regression. To determine if surveillance factors may have influenced results, we reassigned observers to different hospitals midway through surveillance period and reallocated a random sample of events to different expert review teams.
During 3560 patient days of observation of 1159 patient encounters, we identified 356 AEs (AE risk per encounter=22%). AE risk varied between hospitals ranging from 9.9% of encounters in Hospital D to 35.8% of encounters in Hospital A. AE types and severity were similar between hospitals-the most common types were related to clinical procedures (45%), hospital-acquired infections (21%) and medications (19%). Adjusting for age and comorbid status, we observed an association between hospital and AE risk. We observed variation in observer behaviour and moderate agreement between clinical reviewers, which could have influenced the observed rate difference.
This study demonstrated that it is possible to implement prospective surveillance in different settings. Such surveillance appears to be better suited to evaluating hospital safety concerns within rather than between hospitals as we could not definitively rule out whether the observed variation in AE risk was due to population or surveillance factors.
我们设计了一种前瞻性不良事件(AE)监测方法。我们进行这项研究是为了同时评估该方法在多家医院的表现。
比较不同医院前瞻性 AE 监测获得的 AE 发生率,并评估解释观察到的变异的测量因素。
我们进行了一项多中心前瞻性观察研究。在五家医院的普通内科病房进行了为期 8 周的前瞻性 AE 监测。为了确定人口因素是否可能影响结果,我们进行了混合效应逻辑回归。为了确定监测因素是否可能影响结果,我们在监测期间将观察员重新分配到不同的医院,并将事件的随机样本重新分配给不同的专家审查小组。
在观察 1159 例患者的 3560 个患者日期间,我们发现了 356 例 AE(每例患者发生 AE 的风险为 22%)。AE 风险在医院之间有所不同,从医院 D 的 9.9%到医院 A 的 35.8%。医院之间的 AE 类型和严重程度相似——最常见的类型与临床操作(45%)、医院获得性感染(21%)和药物(19%)有关。调整年龄和合并症状态后,我们观察到医院与 AE 风险之间存在关联。我们观察到观察员行为的差异和临床审查员之间的中等一致性,这可能影响了观察到的发生率差异。
这项研究表明,在不同环境中实施前瞻性监测是可行的。这种监测似乎更适合评估医院内的安全问题,而不是医院之间的问题,因为我们不能明确排除观察到的 AE 风险变化是由于人口因素还是监测因素造成的。