OnTARi: an ontology for factors influencing therapy adherence to rehabilitation

Autor: Reinhold Haux, Birgit Saalfeld, Bianca Steiner, Klaus-Hendrik Wolf, Lena Elgert
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Knowledge management
Computer science
Knowledge Bases
medicine.medical_treatment
Health Behavior
Computer applications to medicine. Medical informatics
R858-859.7
Information Storage and Retrieval
Health Informatics
Ontology (information science)
Health informatics
Article
Chronic disease
03 medical and health sciences
0302 clinical medicine
Knowledge discovery
ddc:1
Knowledge extraction
Description logic
Treatment Adherence And Compliance
medicine
ddc:6
ddc:61
Humans
Veröffentlichung der TU Braunschweig
030212 general & internal medicine
Health behavior
Language
Motivation
Rehabilitation
Knowledge bases
Conceptualization
business.industry
Ontology
Health Policy
Research
Protégé
Treatment Adherence and compliance
Computer Science Applications
ddc:15
Data extraction
Patient Compliance
Psychological theory
Publikationsfonds der TU Braunschweig
Psychological Theory
business
030217 neurology & neurosurgery
Zdroj: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-14 (2021)
BMC Medical Informatics and Decision Making
ISSN: 1472-6947
Popis: Background Adherence and motivation are key factors for successful treatment of patients with chronic diseases, especially in long-term care processes like rehabilitation. However, only a few patients achieve good treatment adherence. The causes are manifold. Adherence-influencing factors vary depending on indications, therapies, and individuals. Positive and negative effects are rarely confirmed or even contradictory. An ontology seems to be convenient to represent existing knowledge in this domain and to make it available for information retrieval. Methods First, a manual data extraction of current knowledge in the domain of treatment adherence in rehabilitation was conducted. Data was retrieved from various sources, including basic literature, scientific publications, and health behavior models. Second, all adherence and motivation factors identified were formalized according to the ontology development methodology METHONTOLOGY. This comprises the specification, conceptualization, formalization, and implementation of the ontology “Ontology for factors influencing therapy adherence to rehabilitation” (OnTARi) in Protégé. A taxonomy-oriented evaluation was conducted by two domain experts. Results OnTARi includes 281 classes implemented in ontology web language, ten object properties, 22 data properties, 1440 logical axioms, 244 individuals, and 1023 annotations. Six higher-level classes are differentiated: (1) Adherence, (2) AdherenceFactors, (3) AdherenceFactorCategory, (4) Rehabilitation, (5) RehabilitationForm, and (6) RehabilitationType. By means of the class AdherenceFactors 227 adherence factors, thereof 49 hard factors, are represented. Each factor involves a proper description, synonyms, possibly existing acronyms, and a German translation. OnTARi illustrates links between adherence factors through 160 influences-relations. Description logic queries implemented in Protégé allow multiple targeted requests, e.g., for the extraction of adherence factors in a specific rehabilitation area. Conclusions With OnTARi, a generic reference model was built to represent potential adherence and motivation factors and their interrelations in rehabilitation of patients with chronic diseases. In terms of information retrieval, this formalization can serve as a basis for implementation and adaptation of conventional rehabilitative measures, taking into account (patient-specific) adherence factors. OnTARi also enables the development of medical assistance systems to increase motivation and adherence in rehabilitation processes.
Databáze: OpenAIRE
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