Time series of non-work related sickness absence incidence by subgroups of duration (2009-2018)
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Keywords

Ausencia por enfermedad, Incidencia, Lugar de trabajo, Estudios de series temporales

How to Cite

1.
Ballesteros Polo M, Sampere Valero M, López López JC, Sacristán Nieto R, Ruiz Julián A, Alguacil García S, Santos Ávila E, García Rubia S, López Costa B, Martínez Martínez JM. Time series of non-work related sickness absence incidence by subgroups of duration (2009-2018). Arch Prev Riesgos Labor [Internet]. 2020 Apr. 15 [cited 2024 Aug. 8];23(2):182-95. Available from: https://archivosdeprevencion.eu/index.php/aprl/article/view/33

Abstract

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.

https://doi.org/10.12961/aprl.2020.23.02.05
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