Data for: Clusters of non-adherence to medication in neurological patients

Data from 429 patients were collected (consecutive sampling) either during their visit to the outpatient clinic or during their stay on the neurological ward in the Department of Neurology at the Jena University Hospital between January and May 2018. Neurological disorders mainly comprised movement disorders, cerebrovascular disorders, epilepsy, peripheral neurological disorders, inflammatory central nervous disorders. Demographical data include: age, gender, marital status, living situation, level of education, occupation, medical history such as diseases and details of their medication (who takes care of their daily medication and how much medication they take each day). Adherence was assessed using the German Stendal Adherence to Medication Score (SAMS) which is an extension of the validated German Essen Compliance Score to assess adherence (Franke et al. 2009; Jäger et al. 2009; Türk et al. 2009). The SAMS questionnaire includes 18 questions forming a cumulative scale (0 - 72) in which 0 indicates complete adherence and 72 complete non-adherence. It is generally considered that suboptimal adherence becomes clinically significant when 10). References DiMatteo, M. R. 2004. 'Variations in patients' adherence to medical recommendations: a quantitative review of 50 years of research', Med Care,42:200-9. Franke, GH., M. Jagla, J. Reimer, et al. 2009. 'Erfassung von Medikamenten-Compliance bei erfolgreich Nierentransplantierten mit einer erweiterten Version des Morisky-Scores – dem Essener Compliance Score (ECS)', Psychotherapie, Psychosomatik, Medizinische Psychologie. Jäger, S., GH. Franke, J. Reimer, et al. 2009. 'Der Zusammenhang zwischen Medikamenten-Compliance und gesundheitsbezogener Lebensqualität bei Nierentransplantierten.', AK Klinische Psychologie im BDP: Psychische Störungen in der somatischen Rehabilitation:79-93. Karve, S., M. A. Cleves, M. Helm, et al. 2009. 'Good and poor adherence: optimal cut-point for adherence measures using administrative claims data', Curr Med Res Opin,25:2303-10. Malek, N., C. A. Heath, J. Greene. 2017. 'A review of me