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dc.contributor.authorHayes, Catherine
dc.date.accessioned2023-03-22T16:37:41Z
dc.date.available2023-03-22T16:37:41Z
dc.date.issued2023
dc.date.submitted2023en
dc.identifier.citationMeade, O;, O'Brien, M;, Noone C;, Lawless, A;, McSharry, J;, Deely, H;, Hart J; Hayes, CB;, Keyworth, C;, Lavoie, K;, McGowan O;, Murphy, AW;, Murphy, PJ; O'Reilly O;, Byrne, M., Exploring barriers and enablers to the delivery of Making Every Contact Count brief behavioural interventions in Ireland: a cross-sectional survey study, British Journal of Health Psychology, 00, 2023, 1 - 20en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/102293
dc.descriptionPUBLISHEDen
dc.description.abstractObjectives The public health impact of the Irish Making Every Contact Count (MECC) brief intervention programme is dependent on delivery by health care professionals. We aimed to identify enablers and modifiable barriers to MECC intervention delivery to optimize MECC implementation. Design Online cross-sectional survey design. Methods Health care professionals (n = 4050) who completed MECC eLearning were invited to complete an online survey based on the Theoretical Domains Framework (TDF). Multiple regression analysis identified predictors of MECC delivery (logistic regression to predict delivery or not; linear regression to predict frequency of delivery). Data were visualized using Confidence Interval-Based Estimates of Relevance (CIBER). Results Seventy-nine per cent of participants (n = 283/357) had delivered a MECC intervention. In the multiple logistic regression (Nagelkerke's R2 = .34), the significant enablers of intervention delivery were ‘professional role’ (OR = 1.86 [1.10, 3.15]) and ‘intentions/goals’ (OR = 4.75 [1.97, 11.45]); significant barriers included ‘optimistic beliefs about consequences’ (OR = .41 [.18, .94]) and ‘negative emotions’ (OR = .50 [.32, .77]). In the multiple linear regression (R2 = .29), the significant enablers of frequency of MECC delivery were ‘intentions/goals’ (b = 10.16, p = .02) and professional role (b = 6.72, p = .03); the significant barriers were ‘negative emotions’ (b = −4.74, p = .04) and ‘barriers to prioritisation’ (b = −5.00, p = .01). CIBER analyses suggested six predictive domains with substantial room for improvement: ‘intentions and goals’, ‘barriers to prioritisation’, ‘environmental resources’, ‘beliefs about capabilities’, ‘negative emotions’ and ‘skills’. Conclusion Implementation interventions to enhance MECC delivery should target intentions and goals, beliefs about capabilities, negative emotions, environmental resources, skills and barriers to prioritization.en
dc.format.extent1en
dc.format.extent20en
dc.language.isoenen
dc.relation.ispartofseriesBritish Journal of Health Psychology;
dc.relation.ispartofseries00;
dc.rightsYen
dc.subjectAlcohol and drug useen
dc.subjectBehavioural interventionen
dc.subjectChronic illness preventionen
dc.subjecteLearningen
dc.subjectSmokingen
dc.titleExploring barriers and enablers to the delivery of Making Every Contact Count brief behavioural interventions in Ireland: a cross-sectional survey studyen
dc.typeJournal Articleen
dc.contributor.sponsorHealth Research Board (HRB)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/hayesc9
dc.identifier.rssinternalid250539
dc.identifier.doihttps://doi.org/10.1111/bjhp.12652
dc.rights.ecaccessrightsopenAccess
dc.contributor.sponsorGrantNumberHRB APA-2019-003en
dc.subject.TCDThemeInclusive Societyen
dc.subject.TCDThemeMaking Irelanden
dc.subject.TCDTagPrimary careen
dc.subject.TCDTagPublic healthen
dc.identifier.orcid_id0000-0002-1576-4623
dc.status.accessibleNen


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