Background: Aboriginal and Torres Strait Islander communities in remote Australia have initiated bold policies for health-enabling stores. Benchmarking, a data-driven and facilitated 'audit and feedback' with action planning process, provides a potential strategy to strengthen and scale health-enabling best-practice adoption by remote community store directors/owners. We aim to co-design a benchmarking model with five partner organisations and test its effectiveness with Aboriginal and Torres Strait Islander community stores in remote Australia.
View Article and Find Full Text PDFDespite long histories of traditional food security, Indigenous peoples globally are disproportionately exposed to food insecurity. Addressing this imbalance must be a partnership led by Indigenous peoples in accordance with the UN Declaration of the Rights of Indigenous Peoples. We report the co-design process and resulting design of a food security research project in remote Australia and examine how the co-design process considered Indigenous peoples' ways of knowing, being, and doing using the CREATE Tool.
View Article and Find Full Text PDFBackground: Adoption of health-enabling food retail interventions in food retail will require effective implementation strategies. To inform this, we applied an implementation framework to a novel real-world food retail intervention, the Healthy Stores 2020 strategy, to identify factors salient to intervention implementation from the perspective of the food retailer.
Methods: A convergent mixed-method design was used and data were interpreted using the Consolidated Framework for Implementation Research (CFIR).
Objective: Retrospectively evaluate food price discounts in remote Aboriginal community stores.
Methods: Four price discount strategies of 10% were designed in 2010, aiming to influence grocery, fruit, vegetables and diet soft-drink sales. This natural experiment across a group of stores was evaluated using an explanatory, sequential mixed method design through analysis of store point-of-sale, document, observation and interview data.