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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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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. |
format | Online Article Text |
id | pubmed-3556332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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