Dataset Information

Development and pilot of a tool to measure the healthiness of the in-store food environment.

ABSTRACT:

Objective

To rigorously develop a tool which enables rapid yet comprehensive appraisal of the consumer food retail environment and provision of real-time feedback to store managers and owners, based on the '4Ps' principles of marketing.

Design

Multi-stage iterative approach including (1) Systematic literature review; (2) Stakeholder consultation; (3) Assessment of existing tools against identified needs; (4) Tool development; (5) Pilot testing and (6) Transition of tool to mobile application (the Store Scout app).

Setting

Northern Territory, Australia.

Participants

Nine remote Aboriginal community food stores; public health nutritionists, retailers, store board directors, Aboriginal community members, government representatives.

Results

Forty-seven existing tools and thirty-four stakeholder interviews informed the development of the current instrument, which comprised: (1) seven product categories (Fruit & Vegetables, Drinks, Snack Foods, Meals & Convenience Foods, Meat & Seafood, Dairy & Eggs, Breads & Cereals) across the '4Ps' (Product, Placement, Price, Promotion); (2) Store manager questions about context and perceived importance of key principles about the store environment and (3) a scoring and feedback component. The tool was considered feasible and acceptable by all testers.

Conclusions

The developed tool addresses an unmet need to measure the consumer food retail environment across all 4Ps whilst also incorporating manager perspectives and immediate feedback. Our objectives of developing a comprehensive, feasible and acceptable instrument were achieved during pilot testing. The tool will support implementation of best practice within stores to encourage healthy food choices and has potential for broad application in retail settings locally and internationally, as well as for research purposes.

SUBMITTER: Jaenke R

PROVIDER: S-EPMC7808860 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Development and pilot of a tool to measure the healthiness of the in-store food environment.

Jaenke Rachael R van den Boogaard Christel C McMahon Emma E Brimblecombe Julie J

Public health nutrition 20200813 2

<h4>Objective</h4>To rigorously develop a tool which enables rapid yet comprehensive appraisal of the consumer food retail environment and provision of real-time feedback to store managers and owners, based on the '4Ps' principles of marketing.<h4>Design</h4>Multi-stage iterative approach including (1) Systematic literature review; (2) Stakeholder consultation; (3) Assessment of existing tools against identified needs; (4) Tool development; (5) Pilot testing and (6) Transition of tool to mobile ...[more]

PMID: 32787988

Similar Datasets

Project description:BackgroundObesity and diet-related noncommunicable diseases (NCDs) account for the largest proportion of disease burden worldwide, and an unhealthy food environment is a key driver. Food retailers play an important role in food environments through the availability and purchases of healthy food products at various stores.ObjectivesTo assess whether the healthiness of food and non-alcoholic drink product purchases vary according to retail store type.MethodsWe undertook a cross-sectional analysis of Nielsen New Zealand Homescan® panel data, which is a nationally representative sample of 2500 households in terms of certain key household demographic and socioeconomic characteristics. Panel members were asked to record all food and beverage products that were purchased and brought back to the home between October 2018 and October 2019. Household food and non-alcoholic drink purchases were linked with two food composition databases (Nutritrack, a New Zealand packaged food composition database, and the FOODfiles New Zealand Food Composition Database) to extract data on the nutrient profile of products purchased. We developed a store classification tool, and classified stores as supermarkets, grocery stores, convenience stores, fruit and vegetable stores, meat and fish stores, or bakeries. We estimated the Health Star Rating (HSR) for all products and defined a product with HSR ≥ 3.5 as 'healthy'. We computed estimated mean HSR and conducted multivariate regression analyses.ResultsIn total, 3,940,458 product purchases were included in the analyses, consisting of 20,491 unique products purchased at different stores over the one-year period by 1800 panellist households. Supermarket products made up the majority of household food and drink purchases (3,545,141 of 3,940,458; 90%). Overall, the estimated mean HSR was 3.5 stars. In comparison to the reference group of supermarkets, the odds ratio for healthy products purchased at fruit and vegetable stores was 4.62, at grocery stores it was 2.36, and at meat and fish stores it was 1.99. In contrast, the odds ratios from convenience stores and bakeries were 0.58 and 0.03. Except for convenience stores, these differences were statistically significant (p < 0.05).DiscussionWe found significant differences in household purchases of healthy food and beverages according to food retail store type, with healthier food much more likely to be purchased from fruit and vegetable stores, meat and fish stores and grocery stores, and much less likely to be purchased from bakeries and convenience stores as compared with supermarkets.ConclusionPolicies to improve healthy food retailing should consider all retail store types and focus particularly on increasing the availability of healthy food options at convenience stores and bakeries. Given that supermarkets are the source of most household food purchases (both healthy and unhealthy), strategies are also warranted to increase the relative availability and purchases of healthy foods from supermarkets.

Dataset Information

Development and pilot of a tool to measure the healthiness of the in-store food environment.

Objective

Design

Setting

Participants

Results

Conclusions

Publications

Development and pilot of a tool to measure the healthiness of the in-store food environment.

Similar Datasets

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