Development and testing of the PAtient SafeTy risk Assessment (PASTA) tool to maximise learning from patient safety incidents in healthcare organisati

每20名患者中就有一人在医疗护理中受到可预防的伤害；换言之，在NHS中，每26秒就会发生一起患者安全事件。医疗保健组织学习是将风险降至最低并提高患者安全性的关键。尽管在世界各地的卫生系统中进行了大量投资以了解风险，但统计数据显示，与该系统的努力和成本相称，伤害、严重错误或死亡的减少幅度微乎其微。使用病例交叉分析，博士将开发一种解决方案，与参与患者安全事件的医疗专业人员一起敏感地探索复杂的风险模式(S)，以快速了解医疗差错(或差错)发生的原因，并能够及时决定干预的优先顺序和改进措施。将遵循临床研究的伦理指导方针。我们将寻求伦理审查，然后是研发批准(IRAs)。如果新冠肺炎的限制随之而来，该项目可以作为案头研究(使用电话采访)进行，以减少直接暴露在医疗保健环境中。

One in 20 patients is exposed to preventable harm in medical care; translating to one patient safety incident occurring every 26 seconds in the NHS. Healthcare organisational learning is key to minimising risk and improving patient safety. Despite major investments in health systems worldwide to understand risk, the statistics show minimal reductions in harm, serious error or death commensurate with the effort and costs of the system. Using case-cross over analysis, the PhD will develop a solution to sensitively explore complex patterns of risk(s) with healthcare professionals involved in a patient safety incident to quickly learn why a medical error (or near-miss) occurred and enable timely decisions about intervention priorities and actions for improvement. Ethical guidelines for clinical research will be followed. We will seek ethical review followed by R&D approval (IRAS). Should COVID-19 constraints ensue, the project can be conducted as desk research (using telephone interviews) to mitigate exposure directly to healthcare environments.