Barriers and Enablers to Data-Based Decision Making in Australian Place-Based Community Initiatives: A Qualitative Study Informed by the COM-B Model and Theoretical Domains Framework

Karen Villanueva, Ruth Beatson, Olivia Hilton, Wan Yi Lee, Caitlin Macmillan, Carly Molloy, Shauna Sherker and Sharon Goldfeld ()
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Karen Villanueva: Murdoch Children’s Research Institute
Ruth Beatson: Murdoch Children’s Research Institute
Olivia Hilton: Murdoch Children’s Research Institute
Wan Yi Lee: Murdoch Children’s Research Institute
Caitlin Macmillan: Murdoch Children’s Research Institute
Carly Molloy: Murdoch Children’s Research Institute
Shauna Sherker: Murdoch Children’s Research Institute
Sharon Goldfeld: Murdoch Children’s Research Institute

Child Indicators Research, 2024, vol. 17, issue 6, No 1, 2387 pages

Abstract: Abstract This study investigated barriers and enablers to collecting, reporting, and using data and evidence-based lead indicators in decision-making. Four Australian place-based initiatives (PBI) focused on improving child health and reducing inequities participated. Eight interviews with PBI leaders revealed barriers and enablers aligned with all three Capability, Opportunity, and Motivation factors of the COM-B model of behaviour. Difficulties sharing data across services and with the PBI was a main barrier. Enablers were largely related to opportunity factors (e.g., data access) and demonstrating to service providers the benefits to families. Interventions targeting multiple barriers and enablers are needed for consistent, routine use of lead indicators.

Keywords: Place-based Initiatives; Service; Lead Indicators; Early Childhood; Restacking the Odds; Data-based decision-making (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12187-024-10170-1

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