Data on adherence to medication in neurological patients using the German Stendal Adherence to Medication Score (SAMS)

Tino Prell*, Julian Grosskreutz, Sarah Mendorf, Otto W. Witte, Albrecht Kunze

*Corresponding author for this work
7 Citations (Scopus)

Abstract

This article presents demographic, socio-economic and detailed adherence to medication data from 429 patients with neurological disorders. Adherence to medication was assessed using the German Stendal Adherence to Medication Score (SAMS). The SAMS questionnaire includes 18 questions forming a cumulative scale (0 – 72) in which 0 indicates complete adherence and 72 complete non-adherence. The SAMS covers different aspects of adherence/non-adherence, such as intentional modification of medication, missing knowledge about reasons/dosage/timing of medication and forgetting to take medication. The dataset allows determining different reasons and clusters of adherence to medication. The dataset can be used as by clinicians, pharmacists and academia for further research and as reference. The dataset can also be used in a large range of other topics where demographic and socio-economic parameters are relevant. The data presented herein is associated with the research article “Clusters of non-adherence to medication in neurological patients” [1] and available on Mendeley https://data.mendeley.com/datasets/ny2krr3vgg/1.

Original languageEnglish
Article number103855
JournalData in Brief
Volume23
DOIs
Publication statusPublished - 04.2019
Externally publishedYes

Research Areas and Centers

  • Centers: Center for Neuromuscular Diseases

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