| Literature DB >> 35057476 |
Adyya Gupta1, Laura Alston1,2,3, Cindy Needham1, Ella Robinson1, Josephine Marshall1, Tara Boelsen-Robinson1, Miranda R Blake1, Catherine E Huggins1, Anna Peeters1.
Abstract
The aim of this systematic review of reviews was to synthesise the evidence on factors influencing the implementation, sustainability and scalability of food retail interventions to improve the healthiness of food purchased by consumers. A search strategy to identify reviews published up until June 2020 was applied to four databases. The Risk of Bias in Systematic Review tool was used. Review findings were synthesised narratively using the socio-ecological model. A total of 25 reviews met the inclusion criteria. A number of factors influenced implementation; these included retailers' and consumers' knowledge and preferences regarding healthy food; establishing trust and relationships; perceived consumer demand for healthy food; profitability; store infrastructure; organizational support, including resources; and enabling policies that promote health. Few reviews reported on factors influencing sustainability or scalability of the interventions. While there is a large and rapidly growing body of evidence on factors influencing implementation of interventions, more work is needed to identify factors associated with their sustainability and scalability. These findings can be used to develop implementation strategies that consider the multiple levels of influence (individual, intrapersonal and environmental) to better support implementation of healthy food retail interventions.Entities:
Keywords: choice architecture; food environment; healthy retail; marketing mix
Mesh:
Year: 2022 PMID: 35057476 PMCID: PMC8780221 DOI: 10.3390/nu14020294
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
PICOS criteria.
| Criteria | Inclusion | Exclusion |
|---|---|---|
| Population | Studies that included and identified: | Food retail outlet such as farmers markets or food pantries. |
| Intervention/exposure | Studies that aim to improve the healthiness of food purchased by consumers by altering factors such as price, promotion, placement | Studies that do not include a relevant intervention. |
| Comparator | No restrictions | |
| Outcome | Studies reporting on implementation, sustainability and scalability of interventions implemented by food retailer(s) that aim to improve the healthiness of food purchased by consumers (see definitions in | Studies that do not report a relevant outcome. |
| Type of Studies | Review studies (scoping, systematic, literature); English language published from inception to June 2020 | All studies except reviews. |
Figure 1PRISMA flowchart.
Characteristics and findings of the included reviews (n = 25).
| Author/Year of Publication; Type of Review; Number of Studies in Review ( | Aim of the Review | Type of Food Retail Outlet | Type of Setting | Type of Intervention | Factors Influencing Implementation of Intervention | Factors Influencing Sustainability of Intervention | Factors Influencing Scalability of Intervention | Risk of Bias |
|---|---|---|---|---|---|---|---|---|
| Adam and Jensen 2016 [ | To systematically review the literature on effectiveness of food store interventions intended to promote the consumption of healthy foods | Grocery stores, supermarkets, and convenience stores | Community-based setting | Affordability (price), information and access/availability | ± Storeowner’s attitude and level of co-operation | ± Storeowner’s attitude and level of co-operation | Not reported | High quality |
| Beltran and Romero, 2019 [ | To identify relevant topics in the literature about healthy eating and restaurants | Restaurants | Community-based setting | Point of sale information, events and sales promotions | - Low consumer demand | Not reported | Not reported | Low quality |
| Blake et al., 2019 [ | To synthesise business outcomes of healthy food retail initiatives | Food and beverage stores, restaurants, vending machines | Community-based setting (except schools) | Availability, price, place, promotion | - Lack of required knowledge | + Profit driven | + Profit driven | High quality |
| Bucher et al., 2016 [ | To investigate the effect of positional changes of food placement on food choice | Laboratory | University, hospital setting | Product placement (proximity or order) | ± Retailers with greater power and control over the decisions (in comparison to manufacturers) | Not reported | Not reported | High quality |
| Buttriss et al., 2004 [ | To review factors that influence food choice | Cafeteria and restaurants | Primary care, universities, schools, workplace | Pricing strategies | + Establishing partnerships with key stakeholders | + Establishing partnerships with key stakeholders | Not reported | Low quality |
| Cameron et al., 2016 [ | To determine the effectiveness of supermarket-based interventions on the healthiness of consumer purchases | Supermarkets | Community-based setting | Product promotion, placement, mass media interventions | + Low-cost interventions that require little retailer input | + Low-cost interventions that require little retailer input | + Economically profit driven impact of the intervention on the retailer | Low quality |
| Escaron et al., 2013 [ | To synthesise the evidence on supermarket and grocery store interventions to promote healthful food choices | Supermarket and grocery store | Community-based setting | Point-of-purchase information (use of demonstrations, taste testing, signs, labels, printed materials) | + Working with community members to develop culturally relevant interventions | + Working with community members to develop culturally relevant interventions | Not reported | Low quality |
| Gittelsohn et al., 2012 [ | To determine the impact of small-store interventions on food availability, dietary behaviors, and chronic disease risk | Small food store/corner stones, convenience stores, bodegas/tiendas and liquor stores | Rural and urban settings (in 6 countries) | Point-of-purchase (shelf labels, posters, coupons, vouchers, educational flyers, giveaways) | + Store owners and staff education and business training | + Incentivized partnership between producers, manufacturers, and distributors | + No profit loss | Low quality |
| Gittelsohn et al., 2013 [ | To systematically review community-based interventions aimed to increase access to and consumption of healthful foods | Carry out, fast-food and restaurants | Community-based setting | Increase access to and consumption of healthy foods | - Perception of intervention as burdensome by food-source owners | - Open volunteer enrollment leading to low reach (as assessed by counting consumers) | Not reported | Low quality |
| Gittelsohn et al., 2017 [ | To determine the effect of food-pricing interventions on retail sales, consumer purchasing and consumption of food | Grocery stores, supermarkets, farmers markets, cafeterias, restaurants, corner stores | Worksite, sports gym, school, swimming pool, hospitals | Pricing intervention (alone or in combination with stocking, sales) | + No profit loss | + No profit loss | Not reported | High quality |
| Glanz et al., 2012 [ | To review research on in-store food marketing interventions | Grocery stores | Community-based setting | In-store food marketing (product, price, place, and promotion) | + Greater retailer power and control over the decisions (in comparison to manufacturers) | Not reported | Not reported | Low quality |
| Grech and Allman-Farinelli., 2015 [ | To determine the efficacy of nutrition interventions in vending machine in eliciting behavior change to improve diet quality | Vending machines | Worksites, universities, and school setting | Point-of-purchase promotion, nutrition policy, availability, pricing and behavioral programs | - Concerns around loss of profit due to price reductions or restrictions on availability of unhealthy choices | - Concerns around loss of profit due to price reductions or restrictions on availability of unhealthy choices | Not reported | Moderate quality |
| Henryks & Brimblecombe, 2016 [ | To identify and map key influencers of food choice at the point-of-purchase in Australian Remote Indigenous Communities and identify gaps in knowledge | Food stores | Remote Indigenous communities | Point-of-purchase influences | + Store managers’ attitudes and beliefs towards food | + Policy with multiple strategies (income management in combination with the community stores licensing programs) | Not reported | Moderate quality |
| Hillier-Brown et al., 2017 [ | To identify and describe interventions to promote healthier ready-to-eat meals sold by specific food outlets | Food outlets selling ready-to-eat meals i.e., cafes, restaurants, quick service restaurants | Community-based setting (excludes schools, workplaces, institutions) | Heterogeneous, including award/accreditation and non-award, generally related to product and promotion | + Project team’s skills, knowledge | - Low consumer demand | + No profit loss | Low quality |
| Hillier-Brown et al., 2017 [ | To systematically review the international literature on the impact of interventions to promote healthier ready-to-eat meals | Food service outlets | Community-based setting (excludes schools, workplaces, institutions) | Food reformulation, healthier offerings, accreditation scheme, price, labelling/information | + Establishing relationships | Not reported | Not reported | High quality |
| Houghtaling et al., 2019 [ | To identify factors that affect food storeowner and manager decision making and ability or willingness to apply marketing-mix and choice-architecture strategies to encourage healthy consumer food and beverage purchases among consumers | Food store includes grocery or supermarket | Urban community-based setting | Place, profile, portion, pricing, promotion, healthy defaults, priming or prompting, and proximity | - No retailer training | - No retailer training | - Slim profit margins | High quality |
| Hua & Ickovics, 2016 [ | To describe intervention designed to promote healthier vending purchases by consumers | Vending machines | Schools, universities, worksites, parks and buildings | Price, product availability, promotions/signage system, marketing, or education campaign | + Profit due to price reductions | + Profit made from price reductions | Not reported | Low quality |
| Kerins et al., 2020 [ | To identify barriers and facilitators to implementation of menu labelling interventions from the perspective of the food service industry | Restaurants, food service corporations | Food service industry | Menu labelling format (numeric or interpretive), scheme (voluntary or mandatory) or type of food service business | ± Retailers’ knowledge and beliefs | Not reported | - Reduced sales or profitability | High quality |
| Kraak et al., 2017 [ | To evaluate restaurant-sector progress to create healthy food environments | Restaurants (chain and non-chain), includes quick-serve restaurants | Government, industry, non-governmental organizations, private foundations, academic institutions | Place, profile, portion, pricing, promotion, healthy default picks, prompting or and proximity | + Comprehensive food and beverage marketing policies | Not reported | Not reported | Low quality |
| Liberato et al., 2014 [ | To review the effectiveness of interventions at point-of-sale to encourage purchase and/or eating of healthier food to improve health outcomes | Grocery stores, supermarkets, vending | Point of sale in any community-based setting | Infrastructure, monetary incentives, marketing strategies (promotion and placement) | + No profit loss | Not reported | Not reported | High quality |
| Mah et al., 2019 [ | To update the evidence on the effectiveness of retail food environment interventions in influencing diet | Supermarkets, grocery stores, convenience stores, gas stations | Community-based settings (except schools, workplace setting) | Changing the availability or the product, pricing, placement, or promotion | + Enabling policies or policy recommendations | Not reported | Not reported | Low quality |
| Marcano-Olivier et al., 2020 [ | To identify interventions using behavioral nudges to promote healthy food item choice or consumption | Cafeteria | School | Simple nudge-only interventions | ± Altering food store environment | +Low-cost staff | + Low intervention cost | High quality |
| Middel et al., 2019 [ | To identify barriers or facilitators to the implementation of healthy food-store interventions | Supermarket/food stores | Community/public setting | Any intervention that changes price, availability, promotion, or point-of-purchase information | - Lack of retailer’s knowledge | + Engagement and collaboration (between interventionist and retailer) | - Food store structure | High quality |
| von Philipsborn et al., 2019 [ | To assess the effects of environmental interventions on the consumption of unhealthy food and health outcomes | Cafeterias, canteens, kiosks, restaurants, convenience/grocery stores, supermarkets, vending machines | Schools, hospitals, leisure centers, theme park, workplaces | Labelling, nutrition standards, pricing, availability and promotion, food benefits, home-based interventions | - Stakeholder discontent e.g., consumer complaints and perceptions of the store | - Food store structure (physical and operational) | - Stakeholder discontent e.g., consumer complaints and perceptions of the store | High quality |
| Wilson et al., 2016 [ | To investigate nudging interventions, and their effectiveness for influencing healthier choices | Canteen, cafeteria, fast-food restaurant | Universities, hospitals, self-service buffets | Visibility, accessibility, availability, labels (traffic light, calorie, descriptive), downsize meals, taste-testing | Not reported | + No profit loss | + No profit loss | High quality |
+, factors classified as facilitators. -, factors classified as barriers. ±, factors classified as both barriers and facilitators. N = number of studies in reviews.
Figure 2Modifiable factors influencing implementation, sustainability and scalability of food retail interventions from all included reviews (n = 25) using the socio-ecological model.