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

DOI

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.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

In this observational longitudinal study, data were collected from people who were treated as inpatient at the Department of Neurology, Jena University Hospital, Jena, Germany 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. The variables were obtained via medical records, self-report, and face-to-face investigation via questionnaires by trained study staff.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-856032
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=982c77d5e149f7a1798b6454cc0bdc575ebbf333f0bb291504bbf2b60320064d
Provenance
Creator Prell, T, University Hospital Halle, Department of Geriatrics; Schönenberg, A, University Hospital Halle, Department of Geriatrics; Mühlhammer, H, University Hospital Jena, Department of Neurology; Teschner, U, University Hospital Jena, Department of Neurology
Publisher UK Data Service
Publication Year 2022
Funding Reference Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung)
Rights Tino Prell, University Hospital Halle, Department of Geriatrics; The Data Collection is available for download to users registered with the UK Data Service. All requests are subject to the permission of the data owner or his/her nominee. Please email the contact person for this data collection to request permission to access the data, explaining your reason for wanting access to the data, then contact our Access Helpdesk.
OpenAccess true
Representation
Language English
Resource Type Numeric; Text
Discipline Life Sciences; Medicine; Psychology; Social and Behavioural Sciences
Spatial Coverage Thuringia, Germany; German Federal Republic