John Tingle, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some key reports and sources of information that can help inform patient safety teaching and learning
Abstract
Background
Ten years after the introduction of the Chinese Ministry of Health (MoH) version of Surgical Safety Checklist (SSC) we wished to assess the ongoing influence of the World Health Organisation (WHO) SSC by observing all three checklist components during elective surgical procedures in China, as well as survey operating room staff and surgeons more widely about the WHO SSC.
Methods
A questionnaire was designed to gain authentic views on the WHO SSC. We also conducted a prospective cross-sectional study at five level 3 hospitals. Local data collectors were trained to document specific item performance. Adverse events which delayed the operation were recorded as well as the individuals leading or participating in the three SSC components.
Results
A total of 846 operating room staff and surgeons from 138 hospitals representing every mainland province responded to the survey. There was widespread acceptance of the checklist and its value in improving patient safety.
860 operations were observed for SSC compliance. Overall compliance was 79.8%. Compliance in surgeon-dependent items of the ‘time-out’ component reduced when it was nurse-led (p < 0.0001). WHO SSC interventions which are omitted from the MoH SSC continued to be discussed over half the time. Overall adverse events rate was 2.7%. One site had near 100% compliance in association with a circulating inspection team which had power of sanction.
Conclusion
The WHO SSC remains a powerful tool for surgical patient safety in China. Cultural changes in nursing assertiveness and surgeon-led teamwork and checklist ownership are the key elements for improving compliance. Standardised audits are required to monitor and ensure checklist compliance.
Are we maximising learning from reported surgical patient safety incidents? An assessment of how accurately the national reporting and learning system classifies surgical error
