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Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions
BACKGROUND: In the cognitive-behavioral approach, Functional Behavioural Assessment is one of the most effective methods to identify the variables that determine a problem behavior. In this context, the use of modern technologies can encourage the collection and sharing of behavioral patterns, effec...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002668/ https://www.ncbi.nlm.nih.gov/pubmed/29853438 http://dx.doi.org/10.2196/medinform.7799 |
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author | Merlo, Gianluca Chiazzese, Giuseppe Taibi, Davide Chifari, Antonella |
author_facet | Merlo, Gianluca Chiazzese, Giuseppe Taibi, Davide Chifari, Antonella |
author_sort | Merlo, Gianluca |
collection | PubMed |
description | BACKGROUND: In the cognitive-behavioral approach, Functional Behavioural Assessment is one of the most effective methods to identify the variables that determine a problem behavior. In this context, the use of modern technologies can encourage the collection and sharing of behavioral patterns, effective intervention strategies, and statistical evidence about antecedents and consequences of clusters of problem behaviors, encouraging the designing of function-based interventions. OBJECTIVE: The paper describes the development and validation process used to design a specific Functional Behavioural Assessment Ontology (FBA-Ontology). The FBA-Ontology is a semantic representation of the variables that intervene in a behavioral observation process, facilitating the systematic collection of behavioral data, the consequential planning of treatment strategies and, indirectly, the scientific advancement in this field of study. METHODS: The ontology has been developed deducing concepts and relationships of the ontology from a gold standard and then performing a machine-based validation and a human-based assessment to validate the Functional Behavioural Assessment Ontology. These validation and verification processes were aimed to verify how much the ontology is conceptually well founded and semantically and syntactically correct. RESULTS: The Pellet reasoner checked the logical consistency and the integrity of classes and properties defined in the ontology, not detecting any violation of constraints in the ontology definition. To assess whether the ontology definition is coherent with the knowledge domain, human evaluation of the ontology was performed asking 84 people to fill in a questionnaire composed by 13 questions assessing concepts, relations between concepts, and concepts’ attributes. The response rate for the survey was 29/84 (34.52%). The domain experts confirmed that the concepts, the attributes, and the relationships between concepts defined in the FBA-Ontology are valid and well represent the Functional Behavioural Assessment process. CONCLUSIONS: The new ontology developed could be a useful tool to design new evidence-based systems in the Behavioral Interventions practices, encouraging the link with other Linked Open Data datasets and repositories to provide users with new models of eHealth focused on the management of problem behaviors. Therefore, new research is needed to develop and implement innovative strategies to improve the poor reproducibility and translatability of basic research findings in the field of behavioral assessment. |
format | Online Article Text |
id | pubmed-6002668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60026682018-06-19 Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions Merlo, Gianluca Chiazzese, Giuseppe Taibi, Davide Chifari, Antonella JMIR Med Inform Original Paper BACKGROUND: In the cognitive-behavioral approach, Functional Behavioural Assessment is one of the most effective methods to identify the variables that determine a problem behavior. In this context, the use of modern technologies can encourage the collection and sharing of behavioral patterns, effective intervention strategies, and statistical evidence about antecedents and consequences of clusters of problem behaviors, encouraging the designing of function-based interventions. OBJECTIVE: The paper describes the development and validation process used to design a specific Functional Behavioural Assessment Ontology (FBA-Ontology). The FBA-Ontology is a semantic representation of the variables that intervene in a behavioral observation process, facilitating the systematic collection of behavioral data, the consequential planning of treatment strategies and, indirectly, the scientific advancement in this field of study. METHODS: The ontology has been developed deducing concepts and relationships of the ontology from a gold standard and then performing a machine-based validation and a human-based assessment to validate the Functional Behavioural Assessment Ontology. These validation and verification processes were aimed to verify how much the ontology is conceptually well founded and semantically and syntactically correct. RESULTS: The Pellet reasoner checked the logical consistency and the integrity of classes and properties defined in the ontology, not detecting any violation of constraints in the ontology definition. To assess whether the ontology definition is coherent with the knowledge domain, human evaluation of the ontology was performed asking 84 people to fill in a questionnaire composed by 13 questions assessing concepts, relations between concepts, and concepts’ attributes. The response rate for the survey was 29/84 (34.52%). The domain experts confirmed that the concepts, the attributes, and the relationships between concepts defined in the FBA-Ontology are valid and well represent the Functional Behavioural Assessment process. CONCLUSIONS: The new ontology developed could be a useful tool to design new evidence-based systems in the Behavioral Interventions practices, encouraging the link with other Linked Open Data datasets and repositories to provide users with new models of eHealth focused on the management of problem behaviors. Therefore, new research is needed to develop and implement innovative strategies to improve the poor reproducibility and translatability of basic research findings in the field of behavioral assessment. JMIR Publications 2018-05-31 /pmc/articles/PMC6002668/ /pubmed/29853438 http://dx.doi.org/10.2196/medinform.7799 Text en ©Gianluca Merlo, Giuseppe Chiazzese, Davide Taibi, Antonella Chifari. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.05.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Merlo, Gianluca Chiazzese, Giuseppe Taibi, Davide Chifari, Antonella Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions |
title | Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions |
title_full | Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions |
title_fullStr | Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions |
title_full_unstemmed | Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions |
title_short | Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions |
title_sort | development and validation of a functional behavioural assessment ontology to support behavioural health interventions |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002668/ https://www.ncbi.nlm.nih.gov/pubmed/29853438 http://dx.doi.org/10.2196/medinform.7799 |
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