Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data.

Background And Objective: Despite the importance of medication adherence for chronically ill patients and the vast literature on its relationship to costs, this field suffers from methodological limitations. These are caused, amongst others, by the lack of generalizability of data sources, varying definitions of adherence, costs, and model specification. We aim to address this with different modeling approaches and to contribute evidence on the research question.

Identification of target groups and individuals for adherence interventions using tree-based prediction models.

In chronically ill patients, medication adherence during implementation can be crucial for treatment success and can decrease health costs. In some populations, regression models do not show this relationship. We aim to estimate subgroup-specific and personalized effects to identify target groups for interventions.

Compensating for missing data in the OHRKAN cohort study examining total leisure noise exposure among adolescents.

Objective: Investigating determinants of total leisure noise (TLN) exposure among adolescents over 7.5 years and compensating for missing data due to loss to follow-up.

Design: In the OHRKAN cohort study, data were collected by questionnaires at four waves.