Carthey J
Interagency Working Directorate, National Patient Safety Agency, London, UK.
Qual Saf Health Care. 2003 Dec;12 Suppl 2(Suppl 2):ii13-6. doi: 10.1136/qhc.12.suppl_2.ii13.
Structured observational research involves monitoring of healthcare domains by experts to collect data on errors, adverse events, near misses, team performance, and organisational culture. This paper describes some of the results of structured observational studies carried out in health care. It evaluates the strengths, weaknesses, and future challenges facing observational researchers by drawing lessons from the human factors and neonatal arterial switch operation (ASO) study in which two human factors specialists observed paediatric cardiac surgical procedures in 16 UK centres. Lessons learned from the ASO study are germane to other research teams embarking on studies that involve observational data collection. Future research needs robust observer training, clear measurable criteria to assess each researcher's domain knowledge, and observational competence. Measures of inter-rater reliability are needed where two or more observers participate in data collection. While it is important to understand the factors that lead to error and excellence among healthcare teams, it is also necessary to understand the characteristics of a good observer and the key types of error that can occur during structured observational studies like the human factors and ASO project.
结构化观察性研究包括由专家对医疗领域进行监测,以收集有关差错、不良事件、险些失误、团队绩效和组织文化的数据。本文描述了在医疗保健领域开展的结构化观察性研究的一些结果。通过从人因与新生儿动脉调转术(ASO)研究中吸取经验教训,评估观察性研究人员面临的优势、劣势和未来挑战。在该研究中,两名人因专家观察了英国16个中心的小儿心脏外科手术。从ASO研究中吸取的经验教训与其他着手进行涉及观察性数据收集研究的团队密切相关。未来的研究需要进行有力的观察者培训、明确可衡量的标准以评估每位研究人员的领域知识和观察能力。当有两名或更多观察者参与数据收集时,需要采用评分者间信度的测量方法。虽然了解导致医疗团队出现差错和卓越表现的因素很重要,但了解优秀观察者的特征以及在诸如人因与ASO项目这样的结构化观察性研究中可能出现的关键差错类型也很有必要。