Cargando…

Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality

BACKGROUND: Previous validation studies of sick leave measures have focused on self-reports. Register-based sick leave data are considered to be valid; however methodological problems may be associated with such data. A Danish national register on sickness benefit (DREAM) has been widely used in sic...

Descripción completa

Detalles Bibliográficos
Autores principales: Stapelfeldt, Christina Malmose, Jensen, Chris, Andersen, Niels Trolle, Fleten, Nils, Nielsen, Claus Vinther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3511193/
https://www.ncbi.nlm.nih.gov/pubmed/22894644
http://dx.doi.org/10.1186/1471-2458-12-661
_version_ 1782251552486981632
author Stapelfeldt, Christina Malmose
Jensen, Chris
Andersen, Niels Trolle
Fleten, Nils
Nielsen, Claus Vinther
author_facet Stapelfeldt, Christina Malmose
Jensen, Chris
Andersen, Niels Trolle
Fleten, Nils
Nielsen, Claus Vinther
author_sort Stapelfeldt, Christina Malmose
collection PubMed
description BACKGROUND: Previous validation studies of sick leave measures have focused on self-reports. Register-based sick leave data are considered to be valid; however methodological problems may be associated with such data. A Danish national register on sickness benefit (DREAM) has been widely used in sick leave research. On the basis of sick leave records from 3,554 and 2,311 eldercare workers in 14 different workplaces, the aim of this study was to: 1) validate registered sickness benefit data from DREAM against workplace-registered sick leave spells of at least 15 days; 2) validate self-reported sick leave days during one year against workplace-registered sick leave. METHODS: Agreement between workplace-registered sick leave and DREAM-registered sickness benefit was reported as sensitivities, specificities and positive predictive values. A receiver-operating characteristic curve and a Bland-Altman plot were used to study the concordance with sick leave duration of the first spell. By means of an analysis of agreement between self-reported and workplace-registered sick leave sensitivity and specificity was calculated. Ninety-five percent confidence intervals (95% CI) were used. RESULTS: The probability that registered DREAM data on sickness benefit agrees with workplace-registered sick leave of at least 15 days was 96.7% (95% CI: 95.6-97.6). Specificity was close to 100% (95% CI: 98.3-100). The registered DREAM data on sickness benefit overestimated the duration of sick leave spells by an average of 1.4 (SD: 3.9) weeks. Separate analysis on pregnancy-related sick leave revealed a maximum sensitivity of 20% (95% CI: 4.3-48.1). The sensitivity of self-reporting at least one or at least 56 sick leave day/s was 94.5 (95% CI: 93.4 – 95.5) % and 58.5 (95% CI: 51.1 – 65.6) % respectively. The corresponding specificities were 85.3 (95% CI: 81.4 – 88.6) % and 98.9 (95% CI: 98.3 – 99.3) %. CONCLUSIONS: The DREAM register offered valid measures of sick leave spells of at least 15 days among eldercare employees. Pregnancy-related sick leave should be excluded in studies planning to use DREAM data on sickness benefit. Self-reported sick leave became more imprecise when number of absence days increased, but the sensitivity and specificity were acceptable for lengths not exceeding one week.
format Online
Article
Text
id pubmed-3511193
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-35111932012-12-01 Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality Stapelfeldt, Christina Malmose Jensen, Chris Andersen, Niels Trolle Fleten, Nils Nielsen, Claus Vinther BMC Public Health Research Article BACKGROUND: Previous validation studies of sick leave measures have focused on self-reports. Register-based sick leave data are considered to be valid; however methodological problems may be associated with such data. A Danish national register on sickness benefit (DREAM) has been widely used in sick leave research. On the basis of sick leave records from 3,554 and 2,311 eldercare workers in 14 different workplaces, the aim of this study was to: 1) validate registered sickness benefit data from DREAM against workplace-registered sick leave spells of at least 15 days; 2) validate self-reported sick leave days during one year against workplace-registered sick leave. METHODS: Agreement between workplace-registered sick leave and DREAM-registered sickness benefit was reported as sensitivities, specificities and positive predictive values. A receiver-operating characteristic curve and a Bland-Altman plot were used to study the concordance with sick leave duration of the first spell. By means of an analysis of agreement between self-reported and workplace-registered sick leave sensitivity and specificity was calculated. Ninety-five percent confidence intervals (95% CI) were used. RESULTS: The probability that registered DREAM data on sickness benefit agrees with workplace-registered sick leave of at least 15 days was 96.7% (95% CI: 95.6-97.6). Specificity was close to 100% (95% CI: 98.3-100). The registered DREAM data on sickness benefit overestimated the duration of sick leave spells by an average of 1.4 (SD: 3.9) weeks. Separate analysis on pregnancy-related sick leave revealed a maximum sensitivity of 20% (95% CI: 4.3-48.1). The sensitivity of self-reporting at least one or at least 56 sick leave day/s was 94.5 (95% CI: 93.4 – 95.5) % and 58.5 (95% CI: 51.1 – 65.6) % respectively. The corresponding specificities were 85.3 (95% CI: 81.4 – 88.6) % and 98.9 (95% CI: 98.3 – 99.3) %. CONCLUSIONS: The DREAM register offered valid measures of sick leave spells of at least 15 days among eldercare employees. Pregnancy-related sick leave should be excluded in studies planning to use DREAM data on sickness benefit. Self-reported sick leave became more imprecise when number of absence days increased, but the sensitivity and specificity were acceptable for lengths not exceeding one week. BioMed Central 2012-08-15 /pmc/articles/PMC3511193/ /pubmed/22894644 http://dx.doi.org/10.1186/1471-2458-12-661 Text en Copyright ©2012 Stapelfeldt et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Stapelfeldt, Christina Malmose
Jensen, Chris
Andersen, Niels Trolle
Fleten, Nils
Nielsen, Claus Vinther
Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality
title Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality
title_full Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality
title_fullStr Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality
title_full_unstemmed Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality
title_short Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality
title_sort validation of sick leave measures: self-reported sick leave and sickness benefit data from a danish national register compared to multiple workplace-registered sick leave spells in a danish municipality
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3511193/
https://www.ncbi.nlm.nih.gov/pubmed/22894644
http://dx.doi.org/10.1186/1471-2458-12-661
work_keys_str_mv AT stapelfeldtchristinamalmose validationofsickleavemeasuresselfreportedsickleaveandsicknessbenefitdatafromadanishnationalregistercomparedtomultipleworkplaceregisteredsickleavespellsinadanishmunicipality
AT jensenchris validationofsickleavemeasuresselfreportedsickleaveandsicknessbenefitdatafromadanishnationalregistercomparedtomultipleworkplaceregisteredsickleavespellsinadanishmunicipality
AT andersennielstrolle validationofsickleavemeasuresselfreportedsickleaveandsicknessbenefitdatafromadanishnationalregistercomparedtomultipleworkplaceregisteredsickleavespellsinadanishmunicipality
AT fletennils validationofsickleavemeasuresselfreportedsickleaveandsicknessbenefitdatafromadanishnationalregistercomparedtomultipleworkplaceregisteredsickleavespellsinadanishmunicipality
AT nielsenclausvinther validationofsickleavemeasuresselfreportedsickleaveandsicknessbenefitdatafromadanishnationalregistercomparedtomultipleworkplaceregisteredsickleavespellsinadanishmunicipality