{"title":"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","authors":"Błażej Łyszczarz, Jakub Wojtasik","doi":"10.1186/s12963-025-00400-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic profoundly disrupted workplace attendance, yet its impact on cause-specific work absence remains largely unexplored.</p><p><strong>Aim: </strong>To estimate the cause-specific excess/reduced work absence associated with COVID-19 in Poland.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":51476,"journal":{"name":"Population Health Metrics","volume":"23 1","pages":"35"},"PeriodicalIF":2.5000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12219963/pdf/","citationCount":"0","resultStr":"{\"title\":\"Excess and reduced work absence during COVID-19 in Poland: insights from cause-specific time-series models.\",\"authors\":\"Błażej Łyszczarz, Jakub Wojtasik\",\"doi\":\"10.1186/s12963-025-00400-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The COVID-19 pandemic profoundly disrupted workplace attendance, yet its impact on cause-specific work absence remains largely unexplored.</p><p><strong>Aim: </strong>To estimate the cause-specific excess/reduced work absence associated with COVID-19 in Poland.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":51476,\"journal\":{\"name\":\"Population Health Metrics\",\"volume\":\"23 1\",\"pages\":\"35\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12219963/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Population Health Metrics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12963-025-00400-1\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population Health Metrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12963-025-00400-1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
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.
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.