Show simple item record

Files in this item


Item metadata

dc.contributor.authorHumphris, Gerald Michael
dc.contributor.authorCarra, Giuseppe
dc.contributor.authorFrisher, Martin
dc.contributor.authorNeufeind, Julia
dc.contributor.authorCecil, Joanne Elizabeth
dc.contributor.authorScherbaum, Norbert
dc.contributor.authorCrome, Ilana
dc.contributor.authorBaldacchino, Alexander Mario
dc.identifier.citationHumphris , G M , Carra , G , Frisher , M , Neufeind , J , Cecil , J E , Scherbaum , N , Crome , I & Baldacchino , A M 2017 , ' Engagement in an e-Health Tool (ORION) predicts opioid-dependent patient likelihood of behavioural change ' , Heroin Addiction and Related Clinical Problems , vol. 19 , no. 5 , pp. 35-44 .en
dc.identifier.otherPURE: 249163531
dc.identifier.otherPURE UUID: 862f874e-c49c-41a6-846b-ef44da6fdd8f
dc.identifier.otherScopus: 85030558188
dc.identifier.otherORCID: /0000-0002-5388-7376/work/60196782
dc.identifier.otherORCID: /0000-0003-4779-6037/work/60196860
dc.identifier.otherORCID: /0000-0002-4601-8834/work/64033885
dc.identifier.otherWOS: 000416893400005
dc.description.abstractBackground: 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.
dc.relation.ispartofHeroin Addiction and Related Clinical Problemsen
dc.rights© 2017, Publisher / the Author(s). This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at heroinaddictionrelatedclinicalproblems.orgen
dc.subjectOverdose preventionen
dc.subjectORION toolen
dc.subjectBehaviour changeen
dc.subjectStructural equation modellingen
dc.subjectBF Psychologyen
dc.subjectQA76 Computer softwareen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.titleEngagement in an e-Health Tool (ORION) predicts opioid-dependent patient likelihood of behavioural changeen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Medicineen
dc.contributor.institutionUniversity of St Andrews.WHO Collaborating Centre for International Child & Adolescent Health Policyen
dc.contributor.institutionUniversity of St Andrews.Health Psychologyen
dc.contributor.institutionUniversity of St Andrews.St Andrews Sustainability Instituteen
dc.contributor.institutionUniversity of St Andrews.Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews.Centre for Minorities Research (CMR)en
dc.description.statusPeer revieweden

This item appears in the following Collection(s)

Show simple item record