Lin Liangquan
School of Marxism, School of Humanities and Social Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
BMJ Qual Saf. 2025 Mar 19;34(4):223-233. doi: 10.1136/bmjqs-2023-016971.
Current adverse effects of medical treatment (AEMT) incidence estimates rely on limited record reviews and underreporting surveillance systems. This study evaluated global and national longitudinal patterns in AEMT incidence from 1990 to 2019 using the Global Burden of Disease (GBD) framework.
AEMT was defined as harm resulting from a procedure, treatment or other contact with the healthcare system. The overall crude incidence rate, age-standardised incidence rate and their changes over time were analysed to evaluate temporal trends. Data were stratified by sociodemographic index (SDI) quintiles, age groups and sex to address heterogeneity across and within nations. An age-period-cohort model framework was used to differentiate the contributions of age, period and cohort effects on AEMT incidence changes. The model estimated overall and age-specific annual percentage changes in incidence rates.
Although the global population increased 44.6% from 1990 to 2019, AEMT incidents rose faster by 59.3%. The net drift in the global incidence rate was 0.631% per year. The proportion of all cases accounted for by older adults and the incidence rate among older adults increased globally. The high SDI region had much higher and increasing incidence rates versus declining rates in lower SDI regions. The age effects showed that in the high SDI region, the incidence rate is higher among older adults. Globally, the period effect showed a rising incidence of risk after 2002. Lower SDI regions exhibited a significant increase in incidence risk after 2012. Globally, the cohort effect showed a continually increasing incidence risk across sequential birth cohorts from 1900 to 1950.
As the global population ageing intensifies alongside the increasing quantity of healthcare services provided, measures need to be taken to address the continuously rising burden of AEMT among the older population.
目前对医疗不良事件(AEMT)发生率的估计依赖于有限的记录审查和报告不足的监测系统。本研究使用全球疾病负担(GBD)框架评估了1990年至2019年全球和国家层面AEMT发生率的纵向模式。
AEMT被定义为因医疗程序、治疗或与医疗系统的其他接触而导致的伤害。分析了总体粗发病率、年龄标准化发病率及其随时间的变化,以评估时间趋势。数据按社会人口指数(SDI)五分位数、年龄组和性别进行分层,以解决国家间和国家内的异质性。采用年龄-时期-队列模型框架来区分年龄、时期和队列效应对AEMT发生率变化的贡献。该模型估计了总体和特定年龄发病率的年度百分比变化。
尽管1990年至2019年全球人口增长了44.6%,但AEMT事件的增长速度更快,为59.3%。全球发病率的年净增长率为0.631%。全球范围内,老年人占所有病例的比例和老年人的发病率均有所增加。高SDI地区的发病率远高于低SDI地区,且呈上升趋势,而低SDI地区的发病率则呈下降趋势。年龄效应表明,在高SDI地区,老年人的发病率更高。在全球范围内,时期效应显示2002年后风险发生率呈上升趋势。低SDI地区在2012年后发病率风险显著增加。在全球范围内,队列效应显示,从1900年到1950年,连续出生队列的发病风险持续增加。
随着全球人口老龄化加剧以及提供的医疗服务数量增加,需要采取措施应对老年人群中不断上升的AEMT负担。