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Published in: BMC Medical Informatics and Decision Making 1/2014

Open Access 01-12-2014 | Research article

The SMART personalised self-management system for congestive heart failure: results of a realist evaluation

Authors: Yvonne K Bartlett, Annette Haywood, Claire L Bentley, Jack Parker, Mark S Hawley, Gail A Mountain, Susan Mawson

Published in: BMC Medical Informatics and Decision Making | Issue 1/2014

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Abstract

Background

Technology has the potential to provide support for self-management to people with congestive heart failure (CHF). This paper describes the results of a realist evaluation of the SMART Personalised Self-Management System (PSMS) for CHF.

Methods

The PSMS was used, at home, by seven people with CHF. Data describing system usage and usability as well as questionnaire and interview data were evaluated in terms of the context, mechanism and outcome hypotheses (CMOs) integral to realist evaluation.

Results

The CHF PSMS improved heart failure related knowledge in those with low levels of knowledge at baseline, through providing information and quizzes. Furthermore, participants perceived the self-regulatory aspects of the CHF PSMS as being useful in encouraging daily walking. The CMOs were revised to describe the context of use, and how this influences both the mechanisms and the outcomes.

Conclusions

Participants with CHF engaged with the PSMS despite some technological problems. Some positive effects on knowledge were observed as well as the potential to assist with changing physical activity behaviour. Knowledge of CHF and physical activity behaviour change are important self-management targets for CHF, and this study provides evidence to direct the further development of a technology to support these targets.
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Metadata
Title
The SMART personalised self-management system for congestive heart failure: results of a realist evaluation
Authors
Yvonne K Bartlett
Annette Haywood
Claire L Bentley
Jack Parker
Mark S Hawley
Gail A Mountain
Susan Mawson
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2014
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-014-0109-3

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