Data on medication adherence in adults with neurological disorders: The NeuroGerAd study.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
30 11 2022
30 11 2022
Historique:
received:
23
03
2021
accepted:
15
11
2022
entrez:
30
11
2022
pubmed:
1
12
2022
medline:
3
12
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36450760
doi: 10.1038/s41597-022-01847-9
pii: 10.1038/s41597-022-01847-9
pmc: PMC9709359
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
734Subventions
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 01GY1804
Informations de copyright
© 2022. The Author(s).
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