[按持续时间分组的非工作相关疾病缺勤率时间序列(2009-2018年)]。

M. Ballesteros Polo, M. Sampere Valero, J. C. López López, R. Sacristán Nieto, A. Ruiz Julián, S. Alguacil García, É. Santos Ávila, S. García Rubia, B. López Costa, J. M. Martínez Martínez
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引用次数: 0

摘要

目的描述西班牙非工作相关疾病缺勤(SA)的时间趋势发生率(2009-2018年)。方法采用西班牙一家健康保险公司(mutua)的SA病例。获得非工作相关SA的总发生率和发作时间(1-3天、4-15天、16-30天、31-90天和> 90天)的发生率。以2013年为拐点进行时间序列生态学研究。获得了年变化百分比和95%置信区间。这些分析是按年龄和性别分层的。结果总体发病率由2009年的35.3例/百人年上升至2013年的25.2例/百人年。从2014年开始,ITCC的发病率持续上升,截至2018年,每100名工人年发生34.1例。在年轻人群中,总体发病率主要由病程少于16天决定。2009-2013年,所有持续时间段均出现下降,特别是4 - 15年(APC=-11,2;95% CI=(-14,1 a -8,2))和超过90天(APC =-9,4;95% CI =(-15,5 a -2,8)),主要发生在年轻人中。2013-2018年,所有细分市场都出现了增长,其中1-3天的部分增幅最大(年轻员工:APC = 18.9;95% CI =(14,8 a, 23,2))和超过90天(主要是老年患者)。两性SA的时间变化趋势相似。结论按病程段对SA发病率进行时间趋势分析,可提供SA的详细信息。这些结果对专业人员预防和管理SA有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Time series of non-work related sickness absence incidence by subgroups of duration (2009-2018)].
OBJECTIVE We describe time trend incidence (2009-2018) of non-work related Sickness Absence(SA) segmented by duration of episodes in Spain. METHODS We used SA cases from a health insurance company ("mutua") in Spain. Overall non-work related SA incidence and incidence by duration of episodes (1-3 days, 4-15 days, 16-30 days, 31-90 days and> 90 days) were obtained. A time series ecological study was carried out with an inflection point in 2013. The annual percentage of change and 95% confidence interval were obtained. The analyses were stratified by age and sex. RESULTS Overall incidence went from 35.3 cases per 100 workers-years in 2009 to 25.2 in 2013. From 2014, there is a sustained rise in the incidence of ITCC, ending 2018 with 34.1 cases per 100 workers-years. The overall incidence is determined mainly by processes less than 16 days in young population. The decrease in 2009-2013 occurred in all the duration segments, especially in 4 to 15 (APC=-11,2; 95% CI=(-14,1 a -8,2)) and more than 90 days (APC =-9,4; 95% CI =(-15,5 a -2,8)), mainly in young people. The rise in 2013-2018 was observed in all the segments, with the largest significant increase in sections of 1-3 days(younger workers: APC =18,9; 95% CI =(14,8 a 23,2)) and in more than 90 days (mainly in older ones). Time trend of SA showed similar pattern in both sexes. CONCLUSIONS Time trend analysis of SA incidence by duration segments offers a detailed information of SA. These results are useful for professionals in the prevention and management of SA.
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