Vitral Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Division of Public Health and Program Management, Shanghai Institute of Preventive Medicine, Shanghai, China.
BMJ Open. 2022 Feb 15;12(2):e046185. doi: 10.1136/bmjopen-2020-046185.
To assess the quality of cause of death reporting in Shanghai for both hospital and home deaths.
Medical records review (MRR) to independently establish a reference data set against which to compare original and adjusted diagnoses from a sample of three tertiary hospitals, one secondary level hospital and nine community health centres in Shanghai.
1757 medical records (61% males, 39% females) of deaths that occurred in these sample sites in 2017 were reviewed using established diagnostic standards.
None.
Original underlying cause of death (UCOD) from medical facilities.
Routine UCOD assigned from the Shanghai Civil Registration and Vital Statistics (CRVS) system and MRR UCODs from MRR.
The original UCODs as assigned by doctors in the study facilities were of relatively low quality, reduced to 31% of deaths assigned to garbage codes, reduced to 2.3% following data quality and follow back procedures routinely applied by the Shanghai CRVS system. The original UCOD had lower chance-corrected concordance and cause-specific mortality fraction accuracy of 0.57 (0.44, 0.70) and 0.66, respectively, compared with 0.75 (0.66, 0.85) and 0.96, respectively, after routine data checking procedures had been applied.
Training in correct death certification for clinical doctors, especially tertiary hospital doctors, is essential to improve UCOD quality in Shanghai. A routine quality control system should be established to actively track diagnostic performance and provide feedback to individual doctors or facilities as needed.
评估上海市医院和家庭死亡的死因报告质量。
病历回顾(MRR)独立建立参考数据集,与三个三级医院、一个二级医院和上海九个社区卫生中心样本中的原始和调整诊断进行比较。
2017 年,对这些样本地点发生的 1757 例死亡的医疗记录(61%为男性,39%为女性)进行了回顾,使用既定的诊断标准。
无。
医疗设施的原始根本死因(UCOD)。
上海民事登记和生命统计(CRVS)系统分配的常规 UCOD 和 MRR 从 MRR 获得的 UCOD。
研究设施的医生最初分配的 UCOD 质量相对较低,降至分配给垃圾代码的死亡人数的 31%,在上海 CRVS 系统常规应用的数据质量和追溯程序后降至 2.3%。原始 UCOD 的机会校正一致性和病因特异性死亡率分数准确性分别为 0.57(0.44,0.70)和 0.66,而在常规数据检查程序后,分别为 0.75(0.66,0.85)和 0.96。
对临床医生,特别是三级医院医生进行正确的死亡认证培训对于提高上海的 UCOD 质量至关重要。应建立常规质量控制系统,积极跟踪诊断性能,并根据需要向个别医生或设施提供反馈。