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A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)

BACKGROUND: Measures of disability pensions, sickness certification and long-term health related benefits are often self-reported in epidemiological studies. Few studies have examined these measures, and the validity is yet to be established. We aimed to estimate the validity of self-reported disabi...

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Autores principales: Myrtveit, Solbjørg Makalani, Ariansen, Anja M S, Wilhelmsen, Ingvard, Krokstad, Steinar, Mykletun, Arnstein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556332/
https://www.ncbi.nlm.nih.gov/pubmed/23343185
http://dx.doi.org/10.1186/1756-0500-6-27
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author Myrtveit, Solbjørg Makalani
Ariansen, Anja M S
Wilhelmsen, Ingvard
Krokstad, Steinar
Mykletun, Arnstein
author_facet Myrtveit, Solbjørg Makalani
Ariansen, Anja M S
Wilhelmsen, Ingvard
Krokstad, Steinar
Mykletun, Arnstein
author_sort Myrtveit, Solbjørg Makalani
collection PubMed
description BACKGROUND: Measures of disability pensions, sickness certification and long-term health related benefits are often self-reported in epidemiological studies. Few studies have examined these measures, and the validity is yet to be established. We aimed to estimate the validity of self-reported disability pension, rehabilitation benefit and retirement pension and to explore the benefit status and basic characteristics of those not responding to these items. A large health survey (HUNT2) containing self-reported questionnaire data on sickness benefits and pensions was linked to a national registry of pensions and benefits, used as “gold standard” for the analysis. We investigated two main sources of bias in self-reported data; misclassification - due to participants answering questions incorrectly, and systematic missing/selection bias - when participants do not respond to the questions. Sensitivity, specificity, positive (PPV) and negative (NPV) predicative value, agreement and Cohen’s Kappa were calculated for each benefit. Co-variables were compared between non-responders and responders. RESULTS: In the study-population of 40,633, 9.2% reported receiving disability pension, 1.4% rehabilitation benefits and 6.1% retirement pension. According to the registry, the corresponding numbers were 9.0%, 1.7% and 5.4%. Excluding non-responders, specificity, NPV and agreement were above 98% for all benefits. Sensitivity and PPV were lower. When including non-responders as non-receivers, specificity got higher, sensitivity dropped while the other measures changed less. Between 17.7% and 24.1% did not answer the questions on benefits. Non-responders were older and more likely to be female. They reported more anxiety, more depression, a higher number of somatic diagnoses, less physical activity and lower consumption of alcohol (p < 0.001 for all variables). For disability pension and retirement pension, non-responders were less likely to receive benefits than responders (p < 0.001). For each benefit 2.1% or less of non-responders were receivers. False positive responses were more prevalent than false negative responses. CONCLUSIONS: The validity of self-reported data on disability pension, rehabilitation benefits and retirement pension is high – it seems that participants’ responses can be trusted. Compared to responders, non-responders are less likely to be receivers. If necessary, power and validity can be kept high by imputing non-responders as non-receivers.
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spelling pubmed-35563322013-01-30 A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT) Myrtveit, Solbjørg Makalani Ariansen, Anja M S Wilhelmsen, Ingvard Krokstad, Steinar Mykletun, Arnstein BMC Res Notes Research Article BACKGROUND: Measures of disability pensions, sickness certification and long-term health related benefits are often self-reported in epidemiological studies. Few studies have examined these measures, and the validity is yet to be established. We aimed to estimate the validity of self-reported disability pension, rehabilitation benefit and retirement pension and to explore the benefit status and basic characteristics of those not responding to these items. A large health survey (HUNT2) containing self-reported questionnaire data on sickness benefits and pensions was linked to a national registry of pensions and benefits, used as “gold standard” for the analysis. We investigated two main sources of bias in self-reported data; misclassification - due to participants answering questions incorrectly, and systematic missing/selection bias - when participants do not respond to the questions. Sensitivity, specificity, positive (PPV) and negative (NPV) predicative value, agreement and Cohen’s Kappa were calculated for each benefit. Co-variables were compared between non-responders and responders. RESULTS: In the study-population of 40,633, 9.2% reported receiving disability pension, 1.4% rehabilitation benefits and 6.1% retirement pension. According to the registry, the corresponding numbers were 9.0%, 1.7% and 5.4%. Excluding non-responders, specificity, NPV and agreement were above 98% for all benefits. Sensitivity and PPV were lower. When including non-responders as non-receivers, specificity got higher, sensitivity dropped while the other measures changed less. Between 17.7% and 24.1% did not answer the questions on benefits. Non-responders were older and more likely to be female. They reported more anxiety, more depression, a higher number of somatic diagnoses, less physical activity and lower consumption of alcohol (p < 0.001 for all variables). For disability pension and retirement pension, non-responders were less likely to receive benefits than responders (p < 0.001). For each benefit 2.1% or less of non-responders were receivers. False positive responses were more prevalent than false negative responses. CONCLUSIONS: The validity of self-reported data on disability pension, rehabilitation benefits and retirement pension is high – it seems that participants’ responses can be trusted. Compared to responders, non-responders are less likely to be receivers. If necessary, power and validity can be kept high by imputing non-responders as non-receivers. BioMed Central 2013-01-23 /pmc/articles/PMC3556332/ /pubmed/23343185 http://dx.doi.org/10.1186/1756-0500-6-27 Text en Copyright ©2013 Myrtveit 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
Myrtveit, Solbjørg Makalani
Ariansen, Anja M S
Wilhelmsen, Ingvard
Krokstad, Steinar
Mykletun, Arnstein
A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)
title A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)
title_full A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)
title_fullStr A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)
title_full_unstemmed A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)
title_short A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)
title_sort population based validation study of self-reported pensions and benefits: the nord-trøndelag health study (hunt)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556332/
https://www.ncbi.nlm.nih.gov/pubmed/23343185
http://dx.doi.org/10.1186/1756-0500-6-27
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