Projects per year
Abstract
Background: An eHealth computer-based tool named ORION was constructed to assist patients in the clinic to appreciate the factors responsible for risks of drug overdose. The aim of this study was to investigate the associations between risk perception of overdose, engagement in the ORION tool and willingness to alter overdose risk factors. Methods: 194 opioid dependent patients participated from 4 countries (UK, N=39; Germany, N=99; Italy, N=40 and Denmark, N=16).A structural equation model was fitted (AMOS version 17) to summarise the predicted associations between perceived risk and willingness to change risks of opioid overdose. The degree of engagement with the tool (time spent and number of changes to overdose risk factors) was explored. Results: A variety of models were fitted and the most parsimonious model provided a non-significant difference between the raw data and the specified model: Chi Sq = 16.87, df10, p = .077chi sq/df = 1.688. The fit indices: CFI = .991, RMSEA = .066. Pre and post self-assessments of risk towards known factors linked with overdose were highly correlated. A significant path was found between engagement in the tool and the willingness to change one or more risk factors (stand. coeff. = 0.16, p = .04). In addition, the final assessment of the risk factors was associated with engagement (stand. coeff. = 0.18, p = .02). Conclusion: The encouragement of drug users to engage in exploring changes to their overdose risk when presented on a computer screen appears to increase willingness to change risky behaviour.
Original language | English |
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Pages (from-to) | 35-44 |
Number of pages | 10 |
Journal | Heroin Addiction and Related Clinical Problems |
Volume | 19 |
Issue number | 5 |
Early online date | 4 Feb 2017 |
Publication status | Published - Oct 2017 |
Keywords
- Overdose prevention
- ORION tool
- Behaviour change
- Structural equation modelling
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Dive into the research topics of 'Engagement in an e-Health Tool (ORION) predicts opioid-dependent patient likelihood of behavioural change'. Together they form a unique fingerprint.Projects
- 1 Finished
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EU DPIP - ORION: EU DPIP - ORION
Humphris, G. M. (PI), Baldacchino, A. M. (CoI) & Cecil, J. E. (CoI)
17/01/11 → 16/01/13
Project: Standard
Datasets
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Engagement in an e-Health Tool (ORION) predicts opioid-dependent patient likelihood of behavioural change (dataset)
Humphris, G. M. (Creator), Carra, G. (Creator), Frisher, M. (Creator), Neufeind, J. (Creator), Cecil, J. E. (Creator), Scherbaum, N. (Creator), Crome, I. (Creator) & Baldacchino, A. M. (Creator), European Commission, 4 Feb 2017
http://orion-euproject.com/download-software/
Dataset