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Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study

BACKGROUND: The public health impact of the Irish Making Every Contact Count (MECC) brief intervention programme is dependent on delivery by healthcare professionals. We aimed to identify enablers and modifiable barriers to MECC intervention delivery to optimize MECC implementation. METHODS: Online...

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Autores principales: Hayes, C B, Meade, O, O'Brien, M, Noone, C, Lawless, A, McSharry, J, Murphy, A, Murphy, P J, O'Reilly, O, Byrne, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596727/
http://dx.doi.org/10.1093/eurpub/ckad160.1447
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author Hayes, C B
Meade, O
O'Brien, M
Noone, C
Lawless, A
McSharry, J
Murphy, A
Murphy, P J
O'Reilly, O
Byrne, M
author_facet Hayes, C B
Meade, O
O'Brien, M
Noone, C
Lawless, A
McSharry, J
Murphy, A
Murphy, P J
O'Reilly, O
Byrne, M
author_sort Hayes, C B
collection PubMed
description BACKGROUND: The public health impact of the Irish Making Every Contact Count (MECC) brief intervention programme is dependent on delivery by healthcare professionals. We aimed to identify enablers and modifiable barriers to MECC intervention delivery to optimize MECC implementation. METHODS: Online cross-sectional survey design. Healthcare 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 the frequency of delivery). Data were visualized using Confidence Interval-Based Estimates of Relevance (CIBER). RESULTS: Seventy-nine percent 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'. CONCLUSIONS: High levels of brief intervention delivery were identified, however, there were also many missed opportunities and significant barriers to delivery. KEY MESSAGES: • Implementation interventions to enhance MECC delivery should target intentions, goals, beliefs about capabilities, negative emotions, environmental resources, skills, and barriers to prioritization. • Future interventions should address these barriers by: (a) supporting setting intentions and goals; (b) improving training and (c) ensuring the environment is conducive to MECC delivery.
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spelling pubmed-105967272023-10-25 Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study Hayes, C B Meade, O O'Brien, M Noone, C Lawless, A McSharry, J Murphy, A Murphy, P J O'Reilly, O Byrne, M Eur J Public Health Poster Displays BACKGROUND: The public health impact of the Irish Making Every Contact Count (MECC) brief intervention programme is dependent on delivery by healthcare professionals. We aimed to identify enablers and modifiable barriers to MECC intervention delivery to optimize MECC implementation. METHODS: Online cross-sectional survey design. Healthcare 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 the frequency of delivery). Data were visualized using Confidence Interval-Based Estimates of Relevance (CIBER). RESULTS: Seventy-nine percent 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'. CONCLUSIONS: High levels of brief intervention delivery were identified, however, there were also many missed opportunities and significant barriers to delivery. KEY MESSAGES: • Implementation interventions to enhance MECC delivery should target intentions, goals, beliefs about capabilities, negative emotions, environmental resources, skills, and barriers to prioritization. • Future interventions should address these barriers by: (a) supporting setting intentions and goals; (b) improving training and (c) ensuring the environment is conducive to MECC delivery. Oxford University Press 2023-10-24 /pmc/articles/PMC10596727/ http://dx.doi.org/10.1093/eurpub/ckad160.1447 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Displays
Hayes, C B
Meade, O
O'Brien, M
Noone, C
Lawless, A
McSharry, J
Murphy, A
Murphy, P J
O'Reilly, O
Byrne, M
Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study
title Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study
title_full Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study
title_fullStr Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study
title_full_unstemmed Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study
title_short Barriers and enablers to delivery of Making Every Contact Count: A cross-sectional study
title_sort barriers and enablers to delivery of making every contact count: a cross-sectional study
topic Poster Displays
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596727/
http://dx.doi.org/10.1093/eurpub/ckad160.1447
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