Eat, play, learn well-a novel approach to co-production and analysis grid for environments linked to obesity to engage local communities in a child healthy weight action plan

J. Gillespie, E. Magee, A. White, L. Stewart (Lead / Corresponding author)

Research output: Contribution to journalArticle

Abstract

Objectives: To describe the process of combining Analysis Grid for Environments Linked to Obesity (ANGELO) with community engagement, qualitative and co-production methods to promote local strategies around child healthy weight (CHW) and to highlight steps taken to engage local people in developing a community CHW action plan around two school communities in Dundee, Scotland.

Study design: The Eat, Play, Learn Well (Learn Well) approach applied an action-oriented research approach, using qualitative methods.

Methods: Focus group discussions (FGDs), a co-production approach, and ANGELO were linked by applying a novel three-step process. FGDs were recorded by scribe and following face-to-face interview's key themes were identified using a novel, predefined five-step process, and ANGELO grids were populated. Prioritization events allowed local people to rank most important health statements, with community conversations offering further insights to help create a local CHW action plan.

Results: Three FGDs were conducted with parents (n = 24) and two with workers (n = 15). Eighty-seven attended a prioritization event at school B (41 adults), 59 attended at school A (35 adults), where each school community chose its top four priorities from 11 health statements developed. Two further community conversations then took place and led to the creation of a CHW action plan with five overarching themes.

Conclusions: The Learn Well test approach helped gain important insights into local environments linked to obesity and production of a pragmatic, step-by-step process suitable for real-life public health practice that can enable local people to identify key early intervention and prevention priorities, in a tangible way.

Original languageEnglish
Pages (from-to)99-107
Number of pages9
JournalPublic Health
Volume166
Early online date23 Nov 2018
DOIs
Publication statusPublished - Jan 2019

Fingerprint

Obesity
Focus Groups
Weights and Measures
Public Health Practice
Health Priorities
Health Services Research
Scotland
Parents
Interviews
Health

Keywords

  • ANGELO
  • Child healthy weight prevention
  • Childhood
  • Co-production
  • Obesity
  • Qualitative

Cite this

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title = "Eat, play, learn well-a novel approach to co-production and analysis grid for environments linked to obesity to engage local communities in a child healthy weight action plan",
abstract = "Objectives: To describe the process of combining Analysis Grid for Environments Linked to Obesity (ANGELO) with community engagement, qualitative and co-production methods to promote local strategies around child healthy weight (CHW) and to highlight steps taken to engage local people in developing a community CHW action plan around two school communities in Dundee, Scotland.Study design: The Eat, Play, Learn Well (Learn Well) approach applied an action-oriented research approach, using qualitative methods.Methods: Focus group discussions (FGDs), a co-production approach, and ANGELO were linked by applying a novel three-step process. FGDs were recorded by scribe and following face-to-face interview's key themes were identified using a novel, predefined five-step process, and ANGELO grids were populated. Prioritization events allowed local people to rank most important health statements, with community conversations offering further insights to help create a local CHW action plan.Results: Three FGDs were conducted with parents (n = 24) and two with workers (n = 15). Eighty-seven attended a prioritization event at school B (41 adults), 59 attended at school A (35 adults), where each school community chose its top four priorities from 11 health statements developed. Two further community conversations then took place and led to the creation of a CHW action plan with five overarching themes.Conclusions: The Learn Well test approach helped gain important insights into local environments linked to obesity and production of a pragmatic, step-by-step process suitable for real-life public health practice that can enable local people to identify key early intervention and prevention priorities, in a tangible way.",
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Eat, play, learn well-a novel approach to co-production and analysis grid for environments linked to obesity to engage local communities in a child healthy weight action plan. / Gillespie, J.; Magee, E.; White, A.; Stewart, L. (Lead / Corresponding author).

In: Public Health, Vol. 166, 01.2019, p. 99-107.

Research output: Contribution to journalArticle

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AU - Gillespie, J.

AU - Magee, E.

AU - White, A.

AU - Stewart, L.

N1 - Copyright © 2018 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

PY - 2019/1

Y1 - 2019/1

N2 - Objectives: To describe the process of combining Analysis Grid for Environments Linked to Obesity (ANGELO) with community engagement, qualitative and co-production methods to promote local strategies around child healthy weight (CHW) and to highlight steps taken to engage local people in developing a community CHW action plan around two school communities in Dundee, Scotland.Study design: The Eat, Play, Learn Well (Learn Well) approach applied an action-oriented research approach, using qualitative methods.Methods: Focus group discussions (FGDs), a co-production approach, and ANGELO were linked by applying a novel three-step process. FGDs were recorded by scribe and following face-to-face interview's key themes were identified using a novel, predefined five-step process, and ANGELO grids were populated. Prioritization events allowed local people to rank most important health statements, with community conversations offering further insights to help create a local CHW action plan.Results: Three FGDs were conducted with parents (n = 24) and two with workers (n = 15). Eighty-seven attended a prioritization event at school B (41 adults), 59 attended at school A (35 adults), where each school community chose its top four priorities from 11 health statements developed. Two further community conversations then took place and led to the creation of a CHW action plan with five overarching themes.Conclusions: The Learn Well test approach helped gain important insights into local environments linked to obesity and production of a pragmatic, step-by-step process suitable for real-life public health practice that can enable local people to identify key early intervention and prevention priorities, in a tangible way.

AB - Objectives: To describe the process of combining Analysis Grid for Environments Linked to Obesity (ANGELO) with community engagement, qualitative and co-production methods to promote local strategies around child healthy weight (CHW) and to highlight steps taken to engage local people in developing a community CHW action plan around two school communities in Dundee, Scotland.Study design: The Eat, Play, Learn Well (Learn Well) approach applied an action-oriented research approach, using qualitative methods.Methods: Focus group discussions (FGDs), a co-production approach, and ANGELO were linked by applying a novel three-step process. FGDs were recorded by scribe and following face-to-face interview's key themes were identified using a novel, predefined five-step process, and ANGELO grids were populated. Prioritization events allowed local people to rank most important health statements, with community conversations offering further insights to help create a local CHW action plan.Results: Three FGDs were conducted with parents (n = 24) and two with workers (n = 15). Eighty-seven attended a prioritization event at school B (41 adults), 59 attended at school A (35 adults), where each school community chose its top four priorities from 11 health statements developed. Two further community conversations then took place and led to the creation of a CHW action plan with five overarching themes.Conclusions: The Learn Well test approach helped gain important insights into local environments linked to obesity and production of a pragmatic, step-by-step process suitable for real-life public health practice that can enable local people to identify key early intervention and prevention priorities, in a tangible way.

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