Self-reported medication use validated through record linkage to national prescribing data.
J Clin Epidemiol
; 94: 132-142, 2018 02.
Article
en En
| MEDLINE
| ID: mdl-29097340
ABSTRACT
OBJECTIVES:
Researchers need to be confident about the reliability of epidemiologic studies that quantify medication use through self-report. Some evidence suggests that psychiatric medications are systemically under-reported. Modern record linkage enables validation of self-report with national prescribing data as gold standard. Here, we investigated the validity of medication self-report for multiple medication types. STUDY DESIGN ANDSETTING:
Participants in the Generation Scotland population-based cohort (N = 10,244) recruited 2009-2011 self-reported regular usage of several commonly prescribed medication classes. This was matched against Scottish NHS prescriptions data using 3- and 6-month fixed time windows. Potential predictors of discordant self-report, including general intelligence and psychological distress, were studied via multivariable logistic regression.RESULTS:
Antidepressants self-report showed very good agreement (κ = 0.85, [95% confidence interval (CI) 0.84-0.87]), comparable to antihypertensives (κ = 0.90 [CI 0.89-0.91]). Self-report of mood stabilizers showed moderate-poor agreement (κ = 0.42 [CI 0.33-0.50]). Relevant past medical history was the strongest predictor of self-report sensitivity, whereas general intelligence was not predictive.CONCLUSION:
In this large population-based study, we found self-report validity varied among medication classes, with no simple relationship between psychiatric medication and under-reporting. History of indicated illness predicted more accurate self-report, for both psychiatric and nonpsychiatric medications. Although other patient-level factors influenced self-report for some medications, none predicted greater accuracy across all medications studied.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Medicamentos bajo Prescripción
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Trastornos Mentales
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Antidepresivos
Tipo de estudio:
Diagnostic_studies
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Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
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Risk_factors_studies
Límite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
País/Región como asunto:
Europa
Idioma:
En
Revista:
J Clin Epidemiol
Asunto de la revista:
EPIDEMIOLOGIA
Año:
2018
Tipo del documento:
Article