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A population based validation study of self-reported pensions and benefits: the Nord-Trøndelag health study (HUNT)
- Source :
- BMC Research Notes, BMC Research Notes, Vol 6, Iss 1, p 27 (2013)
- Publication Year :
- 2013
- Publisher :
- BioMed Central, 2013.
-
Abstract
- 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. © Myrtveit et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. 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.
- Subjects :
- Adult
Male
Gerontology
medicine.medical_specialty
Epidemiology
medicine.medical_treatment
media_common.quotation_subject
lcsh:Medicine
VDP::Medisinske fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803
General Biochemistry, Genetics and Molecular Biology
Validity
Pensions
Bias
Humans
Medicine
lcsh:Science (General)
lcsh:QH301-705.5
Depression (differential diagnoses)
Aged
media_common
Selection bias
Non-responders
Medicine(all)
Rehabilitation
Norway
business.industry
Biochemistry, Genetics and Molecular Biology(all)
Midical sciences: 700::Health sciences: 800::Epidemiology, medical and dental statistics: 803 [VDP]
Gold standard
lcsh:R
General Medicine
Middle Aged
Disability pension
lcsh:Biology (General)
Population Surveillance
Medisinske fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803 [VDP]
Anxiety
Female
medicine.symptom
VDP::Midical sciences: 700::Health sciences: 800::Epidemiology, medical and dental statistics: 803
business
Research Article
lcsh:Q1-390
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- BMC Research Notes, BMC Research Notes, Vol 6, Iss 1, p 27 (2013)
- Accession number :
- edsair.doi.dedup.....b340af68b6ea14fd020ad7c135d3d2bb