2021
DOI: 10.3390/healthcare9121752
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Factors Influencing Self-Reported Medication Use in the Survey of Health Aging and Retirement in Europe (SHARE) Dataset

Abstract: The validity of self-reported medication use in epidemiological studies is an important issue in healthcare research. Here we investigated factors influencing self-reported medication use for multiple diagnoses in the seventh wave of the Survey of Health Aging and Retirement in Europe (SHARE) dataset in n = 77,261 participants (ages: mean = 68.47, standard deviation = 10.03 years). The influence of mental, physical, and sociodemographic parameters on medication self-report was analyzed with logistic regression… Show more

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Cited by 5 publications
(6 citation statements)
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“…Compared with other populations, the public service population was particularly specific because several socio-demographic variables, usually known to impact KAP demonstrated no significant effect in our study. Sex, education level, marital status and the fact of suffering from a chronic disease that have been identified as determinants in other studies [ 32 , 33 , 34 , 35 ] did not statistically modify the KAP in this public service population. However, the occupational status, which is mainly linked to age but not only, allowed for the dichotomization of the sample respondents between workers and retired.…”
Section: Discussionmentioning
confidence: 44%
“…Compared with other populations, the public service population was particularly specific because several socio-demographic variables, usually known to impact KAP demonstrated no significant effect in our study. Sex, education level, marital status and the fact of suffering from a chronic disease that have been identified as determinants in other studies [ 32 , 33 , 34 , 35 ] did not statistically modify the KAP in this public service population. However, the occupational status, which is mainly linked to age but not only, allowed for the dichotomization of the sample respondents between workers and retired.…”
Section: Discussionmentioning
confidence: 44%
“…In general, adherence patterns may vary depending on the underlying diagnosis [36][37][38], as different diagnoses may come with varying levels of chronicity, restrictions and burden [9]. Thus, predictors and barriers for adherence can differ between patient groups [39].…”
Section: Discussionmentioning
confidence: 99%
“…Our exhaustive literature review posits depressive symptoms and cognitive function as pivotal influencers of medication adherence 80–82 . Schönenberg et al 78 . discovered that when patients with dementia were excluded, cognition had no significant impact on medication knowledge or diagnosis.…”
Section: Leveraging Public Databases For Enhanced Medication Adherenc...mentioning
confidence: 99%
“…[75][76][77] SHARE predominantly employs self-reporting tools for cataloging drug use and medical diagnoses, emphasizing the accuracy of such reports to ensure reliable data interpretation. 78,79 Our exhaustive literature review posits depressive symptoms and cognitive function as pivotal influencers of medication adherence. [80][81][82] Schönenberg et al 78 discovered that when patients with dementia were excluded, cognition had no significant impact on medication knowledge or diagnosis.…”
Section: 42mentioning
confidence: 99%
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