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Construction and Application of Health Behavior Change Intervention Ontology |
Xu Dongdong, Lin Hui, Duan Huilong, Deng Ning* |
(The Ministry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China) |
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Abstract Lifestyle intervention is an essential component of chronic disease management. A new trend in chronic disease management is integrated lifestyle intervention research based on mHealth technology. Faced with the challenge of increasing intervention complexity and comprehensiveness, a standard, detailed and comprehensive framework is desired to deconstruct and analyze complex intervention programs to promote the intervention quality and effectiveness. This study proposed the Health Behavior Change Intervention Ontology (HBCIO). First, content analysis was used to extract and categorize intervention content to obtain a collection of behavior change techniques and their attributes. The ontology was then constructed using a combination of the seven-step method and the OWL language. And an out-of-hospital hypertension management program was described and evaluated as an example. The term collection included 22 behavior change techniques suitable for chronic disease management diet and exercise scenarios based on mobile medical technology and 102 behavior change technique implementation process attributes. The HBCIO ontology has a total of 128 classes, 51 data properties, and 16 object properties. Based on HBCIO, the hypertension intervention program was converted into a combination of intervention units with clear levels and processes, and the evaluation results showed that the program used a total of 14 behavioral change techniques, with a coverage rate of 63.64%. The ontology can be applied to the intervention design, description, analysis, and evaluation of technology-based chronic disease management, and it is helpful to knowledge organization and sharing.
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Received: 14 June 2022
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Corresponding Authors:
*E-mail: dengn@zju.edu.cn
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