Runciman W B, Edmonds M J, Pradhan M
Department of Anaesthesia and Intensive Care, Royal Adelaide Hospital, University of Adelaide, Adelaide, South Australia.
Qual Saf Health Care. 2002 Sep;11(3):224-9. doi: 10.1136/qhc.11.3.224.
Current "flags" for adverse events (AEs) are biased towards those with serious outcomes, potentially leading to failure to address mundane common problems.
To provide a basis for setting priorities to improve patient safety by ranking adverse events by resource consumption as well as by outcome. This was done by classifying a set of AEs, according to how they may be prevented, into "Principal Natural Categories" (PNCs).
AEs associated with a representative sample of admissions to Australian acute care hospitals.
AEs were classified into PNCs which were ranked by overall frequency, an index of resource consumption (a function of mean extended hospital stay and the number of cases in each PNC), and severity of outcome.
The 1712 AEs analysed fell into 581 PNCs; only 28% had more than two cases. Most resource use (60%) was by AEs which led to minor disabilities, 36% was by those which led to major disabilities, and 4% by those associated with death. Most of the events with serious outcomes fell into fewer than 50 PNCs; only seven of these PNCs had more than six cases resulting in serious outcomes.
If interventions for AEs are triggered only by serious outcomes by, for example, using recommended risk scoring methods, most problems would not be addressed, particularly the large number of mundane problems which consume the majority of resources. Both serious and mundane problems should be addressed. Most types of events occur too infrequently to be characterised at a hospital level and require large scale (preferably national) collections of incidents and events.
当前不良事件的“警示信号”偏向于那些具有严重后果的事件,这可能导致未能解决常见的普通问题。
通过按资源消耗和结果对不良事件进行排名,为确定改善患者安全的优先事项提供依据。这是通过根据不良事件的预防方式将一组不良事件分类为“主要自然类别”(PNC)来实现的。
与澳大利亚急性护理医院入院的代表性样本相关的不良事件。
将不良事件分类为PNC,根据总体频率、资源消耗指数(平均延长住院天数和每个PNC中的病例数的函数)和结果严重程度对其进行排名。
分析的1712起不良事件分为581个PNC;只有28%的PNC有两例以上病例。大多数资源使用(60%)是由导致轻度残疾的不良事件造成的,36%是由导致重度残疾的不良事件造成的,4%是由与死亡相关的不良事件造成的。大多数具有严重后果的事件属于不到50个PNC;这些PNC中只有7个有6例以上导致严重后果的病例。
如果仅通过严重后果触发对不良事件的干预,例如使用推荐的风险评分方法,大多数问题将无法得到解决,尤其是消耗大部分资源的大量普通问题。严重和普通问题都应得到解决。大多数类型的事件发生频率过低,无法在医院层面进行特征描述,需要大规模(最好是全国性)收集事件和事故。