Prices of over-the-counter drugs used by 15-year-old adolescents in Germany and their association with socioeconomic background.

BACKGROUND: In Germany, over-the-counter (OTC) drugs are normally reimbursed up to the age of 12 years only. The aim of this study was to analyse prices of over-the-counter drugs used by adolescents in Germany and their association with socioeconomic factors. METHODS: Based on the German GINIplus and LISAplus birth cohorts, data on drug utilization among 15-year-old adolescents (n = 4677) were collected using a self-administered questionnaire. The reported drugs were subdivided into prescription drugs and OTC drugs. The drugs' prices were tracked by the pharmaceutical identification numbers. RESULTS: Overall, 1499 OTC drugs with clearly identifiable prices were eligible for analysis. Their mean price was €9.75 (95% confidence interval: €9.27-10.22). About 75% of the OTC drugs cost less than €10. Higher mean prices were associated with residing in Munich (€10.74; 95% confidence interval: €9.97-11.52) and with higher paternal education (e.g. highest education level: €10.17; 95% confidence interval: €9.47-10.86). Adolescents residing in Munich (in comparison with the less wealthy region of Wesel) and adolescents with higher educated fathers were also significantly more likely to use OTC drugs costing ≥ €10 or ≥ €25, respectively. CONCLUSIONS: The price of €10 for non-reimbursable OTC drugs may represent a (psychological) threshold. Higher prices could discourage especially adolescents from a lower socioeconomic background from taking medically advisable but non-reimbursable OTC drugs.

Modeling Lung Carcinogenesis in Radon-Exposed Miner Cohorts: Accounting for Missing Information on Smoking.

Epidemiological miner cohort data used to estimate lung cancer risks related to occupational radon exposure often lack cohort-wide information on exposure to tobacco smoke, a potential confounder and important effect modifier. We have developed a method to project data on smoking habits from a case-control study onto an entire cohort by means of a Monte Carlo resampling technique. As a proof of principle, this method is tested on a subcohort of 35,084 former uranium miners employed at the WISMUT company (Germany), with 461 lung cancer deaths in the follow-up period 1955-1998. After applying the proposed imputation technique, a biologically-based carcinogenesis model is employed to analyze the cohort's lung cancer mortality data. A sensitivity analysis based on a set of 200 independent projections with subsequent model analyses yields narrow distributions of the free model parameters, indicating that parameter values are relatively stable and independent of individual projections. This technique thus offers a possibility to account for unknown smoking habits, enabling us to unravel risks related to radon, to smoking, and to the combination of both.