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Process evaluation of in-person, news and social media engagement of a community-based programme Brown Buttabean Motivation (BBM): a research protocol

Version 3 2024-06-19, 16:25
Version 2 2024-06-13, 18:17
Version 1 2023-01-27, 01:18
journal contribution
posted on 2024-06-19, 16:25 authored by F Savila, A Bamber, S Smith, KV Fernandez, T Harding, D Letele, B Van Der Werf, M Loheni, W Bagg, B Swinburn, F Goodyear-Smith
IntroductionThe community group Brown Buttabean Motivation (BBM) initially began to assist Auckland Pasifika and Māori to manage weight problems, predominantly through community-based exercise sessions and social support. BBM’s activities expanded over time to include many other components of healthy living in response to community need. With advent of the COVID-19 pandemic, BBM outreach grew to include a foodbank distributing an increasing amount of donated healthy food to families in need, a community kitchen and influenza and COVID-19 vaccine drives. A strong social media presence has served as the main means of communication with the BBM community as well as use of traditional news media (written, radio, television) to further engage with vulnerable members of the community.Methods and analysisThe study aims to conduct mixed method process evaluation of BBM’s community engagement through in-person, social and news media outreach activities with respect to the health and well-being of Pasifika and Māori over time. The project is informed by theoretical constructs including Pacific Fa’afaletui and Fonofale and Māori Te Whare Tapa Whā Māori research frameworks and principles of Kaupapa Māori. It is further framed using the concept of community-driven diffusion of knowledge and engagement through social networks. Data sources include in-person community engagement databases, social and news media outreach data from archived documents and online resources. Empirical data will undergo longitudinal and time series statistical analyses. Qualitative text thematic analyses will be conducted using the software NVivo, Leximancer and AntConc. Image and video visual data will be randomly sampled from two social media platforms. The social media dataset contains almost 8000 visual artefacts.Ethics and disseminationEthics approval obtained from University of Auckland Human Participants Ethics Committee UAHPEC 23456. Findings will be published in peer-reviewed publications, disseminated through community meetings and conferences and via BBM social network platforms.Trial registration numberACTRN 12621 00093 1875

History

Journal

BMJ Open

Volume

12

Pagination

e062092-e062092

Location

England

ISSN

2044-6055

eISSN

2044-6055

Language

en

Publication classification

C2 Other contribution to refereed journal

Issue

11

Publisher

BMJ