波兰2019冠状病毒病期间旷工过多和减少:来自特定原因时间序列模型的见解

IF 2.5 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Błażej Łyszczarz, Jakub Wojtasik
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引用次数: 0

摘要

背景:2019冠状病毒病大流行严重扰乱了工作场所的出勤率,但其对特定原因缺勤的影响在很大程度上仍未得到探索。目的:估计波兰与COVID-19相关的特定原因的超时/减少缺勤情况。方法:根据超额死亡率的概念,我们将超额缺勤定义为观察到的缺勤与预期缺勤之间的差额,其中后者反映了在没有大流行的情况下的预期水平。利用大流行前(2012-2019)季度(Q)社会保险数据的时间序列分析(季节性自回归综合移动平均线),我们预测了疾病组(按ICD-10章节分类)和护理相关缺勤率。然后将预测的缺勤率与2020-2024年的观测值进行比较,从而确定缺勤率是否过高或降低。结果:我们观察到,在疫情期间(直到2022年第一季度末),缺勤率出现了显著偏差。在大流行开始时,与护理相关的缺勤率最高,超出预期水平五倍以上。从大流行开始的精神健康危机导致连续四个季度缺勤,2020年第二季度缺勤率达到54%。我们在ICD-10的三个章节中发现了明显的过度缺失,这些章节反映了大流行的间接影响,例如诊断不确定性增加、早期COVID-19浪潮期间编码实践的修改以及公共卫生干预措施的广泛实施。直到大流行时期结束,肿瘤、内分泌和消化系统疾病的缺勤率低于预期,这可能反映了获得保健服务的机会减少。同样,直到2022年中期,与受伤和中毒有关的缺勤率低于预期水平,表明社会流动性下降。结论:COVID-19严重改变了波兰的缺勤模式,特别是在大流行早期阶段。在各种疾病类别中都发现了明显的增加和减少。这些不同的趋势似乎既反映了COVID-19对其他疾病发展的影响,也反映了获得医疗服务的中断。这些发现突出表明,需要针对特定疾病采取政策应对措施,以减轻未来的卫生危机,并确保大流行期间的护理连续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Excess and reduced work absence during COVID-19 in Poland: insights from cause-specific time-series models.

Background: The COVID-19 pandemic profoundly disrupted workplace attendance, yet its impact on cause-specific work absence remains largely unexplored.

Aim: To estimate the cause-specific excess/reduced work absence associated with COVID-19 in Poland.

Methods: Following the concept of excess mortality, we define excess work absence as the difference between observed and expected absence, where the latter reflects the level anticipated in the absence of the pandemic. Using time-series analysis (Seasonal Autoregressive Integrated Moving Average) on pre-pandemic (2012-2019) quarterly (Q) social insurance data, we forecasted absence rates for disease groups (classified by ICD-10 chapters) and caregiving-related absenteeism. Forecasted absence rates were then compared to observed values during 2020-2024, allowing for the identification of excess or reduced work absence.

Results: We observed notable deviations in work absence rates during the pandemic period (until the end of Q1-2022). The highest excess absence was identified in caregiving-related absenteeism at the pandemic's onset, exceeding expected levels by over fivefold. A mental health crisis that began with the pandemic resulted in four consecutive quarters of excess absence, reaching a 54% excess in Q2-2020. We identified a notable excess absence in three ICD-10 chapters that reflect the indirect effects of the pandemic, such as increased diagnostic uncertainty, modified coding practices during early COVID-19 waves, and widespread implementation of public health interventions. Absence rates were lower than expected in neoplasms, endocrine and digestive diseases until the end of the pandemic period, likely reflecting reduced healthcare accessibility. Similarly, absence related to injuries and poisoning was below the expected level until mid-2022, indicating decreased social mobility.

Conclusions: COVID-19 substantially reshaped work absence patterns in Poland, particularly during the early pandemic phase. Pronounced increases and decreases were identified across disease categories. These diverging trends plausibly reflect both the COVID-19's effects on the development of other conditions and disruptions in healthcare access. These findings highlight the need for disease-specific policy responses to mitigate future health crises and ensure continuity of care during pandemics.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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