Development of a knowledge base for an integrated elderly care model (SMART system) based on Intervention Mapping framework: a mixed methods study
ABSTRACT
Background:
Rapid population aging exerts substantial pressure on home-based older care. To provide proactive home-based older care, we have developed a knowledge-based Clinical Decision Support System by using mobile health technology–the Intelligent and Integrated Older Care Model (SMART model).
Objective:
This study aims to develop a knowledge base for the SMART model systematically.
Methods:
The nursing process and Intervention Mapping framework were used to guide the design of our SMART knowledge base. The care problems and their causes and/or risk factors and diagnostic criteria were designed by following the nursing process, while the long-term and short-term care objectives, evidence-based interventions, and implementation approaches were developed following the first three steps of the Intervention Mapping framework (needs assessment, construction of matrices of objectives for personalized care, and generation of evidence-based interventions).
Results:
Four types of care needs related to contents of the interventions in the SMART knowledge base were identified. We then identified 138 care problems and their causes and/or risk factors and diagnostic criteria. The objective matrix includes 138 long-term and 195 short-term care objectives. Based on the 15 selection criteria developed by experts, we determined 450 evidence-based interventions and at least one feasible and practical implementation approach corresponding to the identified interventions.
Conclusions:
This article delineates the development of the SMART knowledge base and presents the results of the knowledge base. The study methodology offers theoretical support for the further development of similar knowledge bases of Clinical Decision Support Systems aimed at delivering home-based care for older people.
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.