Medication adherence among people with cardiovascular disease: A multivariable predictive model development and validation - Dataset

Title
Medication adherence among people with cardiovascular disease: A multivariable predictive model development and validation - Dataset
Publication Date
2022
Author(s)
Spark, Marion
( supervisor )
OrcID: https://orcid.org/0000-0001-5240-8217
Email: jspark@une.edu.au
UNE Id une-id:jspark
Wark, Stuart
( supervisor )
OrcID: https://orcid.org/0000-0002-5366-1860
Email: swark5@une.edu.au
UNE Id une-id:swark5
Tursan D'espaignet, Gervais Desire Edouard
( supervisor )
OrcID: https://orcid.org/0000-0002-5474-1803
Email: etursan2@une.edu.au
UNE Id une-id:etursan2
Tegegn, Henok Getachew
( creator )
OrcID: https://orcid.org/0000-0003-0644-0958
Email: htegegn@myune.edu.au
UNE Id une-id:htegegn
Abstract
This is research data used for medication adherence outcome measures and predictors for multivariable predictive model development.
Type of document
Dataset
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, Australia
DOI
10.25952/m9mw-6g50
UNE publication id
une:1959.11/55622
Abstract
The dataset contains sociodemographic characteristics, clinical and medical data, medication adherence, and health behaviour data of participants. The data were collected from consecutive patients living with cardiovascular disease who attended an outpatient clinic at Debretabor General Hospital, Ethiopia. The dataset has medication adherence questionnaires that were validated in the Amharic language. Sociodemographic and clinical data were used as the independent variables for the outcome (medication adherence) which eventually developed medication adherence predictive model.
Link
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