Data on Medication Adherence in Adults with Neurological Disorders: The NeuroGerAd Study, 2019-2020

In this study, 910 hospitalized older adults (mean age 70.1 years, SD 8.6 years) with neurological disorders (Parkinson's Disease and other movement disorders, N= 303; cerebrovascular disorders, N = 233; neuromuscular disorders, N= 168; epilepsy, N = 48; and miscellaneous neurological diagnoses, N= 158) received a comprehensive geriatric assessment and filled out self-report questionnaires. Data collection took place on the ward of neurology between February 2019 and March 2020.

Procedures included a comprehensive baseline assessment during hospital stay and 2 follow-up interviews at 1 and 12 months after hospital discharge. Baseline assessments included demographical data, clinical data, self-report adherence, prescribed medication, mobility, depression, cognition, health care utilization, communication, personality, and health-related QoL. Follow-up interviews asked for changes of medication after discharge, reasons thereof, specific kind of change, and health-related QoL.<p>Nonadherence to medication is a common issue that goes along with increased morbidity and mortality and immense health care costs. To improve medication adherence and outcome in ill people, their reasons of not taking their prescribed medication must be known. Here a dataset is presented based on the longitudinal observational NeuroGerAd study in adults with neurological disorders (N = 910). The dataset contains demographic background variables as well as measures of adherence, medication changes after hospital discharge, comprehensive geriatric assessments, personality, patient-physician relationship, and health-related quality of life. As such, the dataset offers unique opportunities to enable a plethora of analyses on personal, social, and institutional factors influencing medication adherence</p>