Ledesma Jorge R, Chrysanthopoulou Stavroula A, Lurie Mark N, Nuzzo Jennifer B, Papanicolas Irene
Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
Department of Biostatistics, Brown University School of Public Health, Providence, Rhode Island, USA.
Health Serv Res. 2024 Dec;59(6):e14382. doi: 10.1111/1475-6773.14382. Epub 2024 Sep 18.
To quantify disruptions in hospitalization and ambulatory care throughout the coronavirus disease 2019 (COVID-19) pandemic for 32 countries, and examine associations of health system characteristics and COVID-19 response strategies on disruptions.
We utilized aggregated inpatient hospitalization and surgical procedure data from the Organization for Economic Co-operation and Development Health Database from 2010 to 2021. Covariate data were extracted from the Organization for Economic Co-operation and Development Health Database, World Health Organization, and Oxford COVID-19 Government Response Tracker.
This is a descriptive study using time-series analyses to quantify the annual effect of the COVID-19 pandemic on non-COVID-19 hospitalizations for 20 diagnostic categories and 15 surgical procedures. We compared expected hospitalizations had the pandemic never occurred in 2020-2021, estimated using autoregressive integrated moving average modeling with data from 2010 to 2019, with observed hospitalizations. Observed-to-expected ratios and missed hospitalizations were computed as measures of COVID-19 impact. Mixed linear models were employed to examine associations between hospitalization observed-to-expected ratios and covariates.
The COVID-19 pandemic was associated with 16,300,000 (95% uncertainty interval 14,700,000-17,900,000; 18.0% [16.5%-19.4%]) missed hospitalizations in 2020. Diseases of the respiratory (-2,030,000 [-2,300,000 to -1,780,000]), circulatory (-1,680,000 [-1,960,000 to -1,410,000]), and musculoskeletal (-1,480,000 [-1,720,000 to -1,260,000]) systems contributed most to the declines. In 2021, there were an additional 14,700,000 (95% uncertainty interval 13,100,000-16,400,000; 16.3% [14.9%-17.9%]) missed hospitalizations. Total healthcare workers per capita (β = 1.02 [95% CI 1.00, 1.04]) and insurance coverage (β = 1.05 [1.02, 1.09]) were associated with fewer missed hospitalizations. Stringency index (β = 0.98 [0.98, 0.99]) and excess all-cause deaths (β = 0.98 [0.96, 0.99]) were associated with more missed hospitalizations.
There was marked cross-country variability in disruptions to hospitalizations and ambulatory care. Certain health system characteristics appeared to be more protective, such as insurance coverage, and number of inputs including healthcare workforce and beds.
Substantial disruptions in health services associated with the coronavirus disease 2019 pandemic have placed a renewed interest in health system resilience. While there is a growing body of evidence documenting disruptions in services, there are limited comparative assessments across diverse countries with different health system designs, preparedness levels, and public health responses. Learning and adapting from health system-specific gaps and challenges highlighted by the pandemic will be critical for improving resilience.
All countries experienced disruptions to hospitalizations and surgical procedures with a combined total of 30 million missed hospitalizations and 4 million missed surgical procedures in 2020-2021, but there was marked cross-country heterogeneity in disruptions. Countries with greater baseline healthcare workers, insurance coverage, and hospital beds had disproportionately lower disruptions in care. National health planning discussions may need to balance health system resiliency and efficiency to avert preventable morbidity and mortality.
量化32个国家在2019冠状病毒病(COVID-19)大流行期间住院治疗和门诊护理的中断情况,并研究卫生系统特征和COVID-19应对策略与这些中断之间的关联。
我们利用了经济合作与发展组织卫生数据库2010年至2021年的住院和外科手术汇总数据。协变量数据从经济合作与发展组织卫生数据库、世界卫生组织以及牛津COVID-19政府应对追踪器中提取。
这是一项描述性研究,使用时间序列分析来量化COVID-19大流行对20种诊断类别和15种外科手术的非COVID-19住院治疗的年度影响。我们将使用2010年至2019年数据通过自回归积分移动平均模型估计的2020 - 2021年若从未发生大流行时的预期住院人数与观察到的住院人数进行了比较。计算观察值与预期值之比以及错过的住院人数作为COVID-19影响的衡量指标。采用混合线性模型来研究住院观察值与预期值之比与协变量之间的关联。
2020年,COVID-19大流行导致1630万(95%不确定区间为1470万 - 1790万;18.0% [16.5% - 19.4%])例住院治疗被错过。呼吸系统疾病(-203万[-230万至 - 178万])、循环系统疾病(-168万[-196万至 - 141万])和肌肉骨骼系统疾病(-148万[-172万至 - 126万])导致的住院人数下降最为显著。2021年,又有1470万(95%不确定区间为1310万 - 1640万;16.3% [14.9% - 17.9%])例住院治疗被错过。人均医护人员总数(β = 1.02 [95%置信区间1.00, 1.04])和保险覆盖率(β = 1.05 [1.02, 1.09])与错过的住院治疗人数较少相关。严格指数(β = 0.98 [0.98, 0.99])和全因死亡超额数(β = 0.98 [0.96, 0.99])与更多的住院治疗被错过相关。
各国在住院治疗和门诊护理的中断情况上存在显著的跨国差异。某些卫生系统特征似乎更具保护作用,如保险覆盖率以及包括医护人员和床位在内的投入数量。
与2019冠状病毒病大流行相关的卫生服务的重大中断重新引发了人们对卫生系统弹性的关注。虽然有越来越多的证据记录了服务中断情况,但对于具有不同卫生系统设计、准备水平和公共卫生应对措施的不同国家之间的比较评估却很有限。从大流行凸显的特定卫生系统差距和挑战中学习并进行调整对于提高弹性至关重要。
所有国家在住院治疗和外科手术方面都经历了中断,2020 - 2021年总计有3000万例住院治疗被错过,400万例外科手术被错过,但中断情况存在显著的跨国异质性。基线医护人员、保险覆盖率和医院床位较多的国家,护理中断情况相对较少。国家卫生规划讨论可能需要在卫生系统弹性和效率之间取得平衡,以避免可预防的发病率和死亡率。