'A priori' external contextual factors and relationships with process indicators: a mixed methods study of the pre-implementation phase of 'Communities in Charge of Alcohol'.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
29 11 2022
Historique:
received: 31 08 2021
accepted: 20 10 2022
entrez: 29 11 2022
pubmed: 30 11 2022
medline: 2 12 2022
Statut: epublish

Résumé

It is widely recognised that complex public health interventions roll out in distinct phases, within which external contextual factors influence implementation. Less is known about relationships with external contextual factors identified a priori in the pre-implementation phase. We investigated which external contextual factors, prior to the implementation of a community-centred approach to reducing alcohol harm called 'Communities in Charge of Alcohol' (CICA), were related to one of the process indicators: numbers of Alcohol Health Champions (AHCs) trained. A mixed methods design was used in the pre-implementation phase of CICA. We studied ten geographic communities experiencing both high levels of deprivation and alcohol-related harm in the North West of England. Qualitative secondary data were extracted from pre-implementation meeting notes, recorded two to three months before roll-out. Items were coded into 12 content categories using content analysis. To create a baseline 'infrastructure score', the number of external contextual factors documented was counted per area to a maximum score of 12. Descriptive data were collected from training registers detailing training numbers in the first 12 months. The relationship between the baseline infrastructure score, external contextual factors, and the number of AHCs trained was assessed using non-parametric univariable statistics. There was a positive correlation between baseline infrastructure score and total numbers of AHCs trained (R Data suggest that there were four key components that significantly influenced establishing an Alcohol Health Champion programme in areas experiencing both high levels of deprivation and alcohol-related harm. There is added value of capturing external contextual factors a priori and then testing relationships with process indicators to inform the effective roll-out of complex interventions. Future research could explore a wider range of process indicators and outcomes, incorporating methods to rate individual factors to derive a mean score. ISRCTN81942890, date of registration 12/09/2017.

Sections du résumé

BACKGROUND
It is widely recognised that complex public health interventions roll out in distinct phases, within which external contextual factors influence implementation. Less is known about relationships with external contextual factors identified a priori in the pre-implementation phase. We investigated which external contextual factors, prior to the implementation of a community-centred approach to reducing alcohol harm called 'Communities in Charge of Alcohol' (CICA), were related to one of the process indicators: numbers of Alcohol Health Champions (AHCs) trained.
METHODS
A mixed methods design was used in the pre-implementation phase of CICA. We studied ten geographic communities experiencing both high levels of deprivation and alcohol-related harm in the North West of England. Qualitative secondary data were extracted from pre-implementation meeting notes, recorded two to three months before roll-out. Items were coded into 12 content categories using content analysis. To create a baseline 'infrastructure score', the number of external contextual factors documented was counted per area to a maximum score of 12. Descriptive data were collected from training registers detailing training numbers in the first 12 months. The relationship between the baseline infrastructure score, external contextual factors, and the number of AHCs trained was assessed using non-parametric univariable statistics.
RESULTS
There was a positive correlation between baseline infrastructure score and total numbers of AHCs trained (R
CONCLUSIONS
Data suggest that there were four key components that significantly influenced establishing an Alcohol Health Champion programme in areas experiencing both high levels of deprivation and alcohol-related harm. There is added value of capturing external contextual factors a priori and then testing relationships with process indicators to inform the effective roll-out of complex interventions. Future research could explore a wider range of process indicators and outcomes, incorporating methods to rate individual factors to derive a mean score.
TRIAL REGISTRATION
ISRCTN81942890, date of registration 12/09/2017.

Identifiants

pubmed: 36447172
doi: 10.1186/s12889-022-14411-2
pii: 10.1186/s12889-022-14411-2
pmc: PMC9708132
doi:

Banques de données

ISRCTN
['ISRCTN81942890']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2224

Subventions

Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s).

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Auteurs

Elizabeth J Burns (EJ)

School of Health and Society, University of Salford, Manchester, UK. E.J.Burns@salford.ac.uk.

Suzy C Hargreaves (SC)

School of Health and Society, University of Salford, Manchester, UK.

Cathy Ure (C)

School of Health and Society, University of Salford, Manchester, UK.

Susan Hare (S)

Fallowfield Community Guardians c/o School of Health and Society, University of Salford, Manchester, UK.

Margaret Coffey (M)

School of Health and Society, University of Salford, Manchester, UK.

Mira Hidajat (M)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Suzanne Audrey (S)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Frank de Vocht (F)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Kate Ardern (K)

School of Health and Society, University of Salford, Manchester, UK.

Penny A Cook (PA)

School of Health and Society, University of Salford, Manchester, UK.

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Classifications MeSH