Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-23T05:12:15.316Z Has data issue: false hasContentIssue false

Recommended nutrition-related practices for online food delivery companies

Published online by Cambridge University Press:  10 November 2023

Lana Vanderlee*
Affiliation:
École de Nutrition, Centre NUTRISS (Nutrition, Santé et Société), Institute of Nutrition and Functional Foods (INAF), Université Laval, 2440 Boulevard Hochelaga, Quebec, QC G1V 0A6, Canada
Gary Sacks
Affiliation:
Deakin University, Institute for Health Transformation, Global Centre for Preventive Health and Nutrition, Geelong, VIC, Australia
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Type
Commentary
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

The online food delivery (OFD) industry has realised considerable growth over the last decade. In 2023, overall revenue in the global OFD market is forecasted to be over USD1 trillion, with future growth rates of over 10 % per year expected(1). While few empirical studies have examined patterns of use, a multi-country study from 2018 estimated that 15 % of consumers had used OFD in the past 7 d, with higher use in particular population groups, such as younger adults and those living with children(Reference Keeble, Adams and Sacks2).

From a public health perspective, OFD has been identified as a potential contributor to unhealthy diets and a threat to the achievement of the UN Sustainable Development Goals(Reference Jia, Gibson and Ding3,4) . Firstly, the rise in OFD has increased the availability and ease of access to food prepared away from home (FAFH)(Reference Brar and Minaker5,Reference Keeble, Adams and Vanderlee6) , which is known to be associated with poorer quality diets and higher BMI(Reference Lachat, Nago and Verstraeten7,Reference Wellard-Cole, Davies and Allman-Farinelli8) . Secondly, concerns have been raised about the role of OFD companies in consolidating power in the restaurant industry, including amongst the most dominant fast-food chains(Reference Partridge, Gibson and Roy9,Reference Van Dam, Wood and Sacks10) , which may contribute to diet-related disease and health inequity more generally(Reference Wood, Williams and Baker11).

At the same time, the increased prominence of OFD presents an opportunity for public health. OFD companies could, theoretically, promote consumption of healthier FAFH, and incentivise restaurant companies to adopt practices that are health-promoting(Reference Bates, Reeve and Trevena12Reference Wyse, Jackson and Delaney14). At present, there is limited regulation of OFD practices related to nutrition and public health and limited monitoring of OFD practices from a nutrition perspective(4,Reference Bates, Reeve and Trevena12,Reference Meemken, Bellemare and Reardon15) .

In this commentary, we propose recommended nutrition-related practices for OFD companies, based on a previously applied framework, the BIA-Obesity (Business Impact Assessment – Obesity and population nutrition) tool, for assessing the nutrition-related commitments and actions of food companies in various sectors (including manufacturers, retailers and restaurants)(Reference Sacks, Vanderlee and Robinson16). We contextualised the indicators in the BIA-Obesity tool to the OFD setting, taking into account extant peer-reviewed and grey literature regarding best practice and recommended industry actions. We categorised recommended policies and actions across five domains: corporate strategy; nutrition information; promotions and pricing; product and outlet availability; and product formulation. A summary of the recommendations can be found in Table 1.

Table 1 Summary of recommended nutrition-related policies and actions for online food delivery companies

OFD, online food delivery.

Overview of how the online food delivery industry works

The OFD industry is dominated by a small group of OFD aggregators (e.g. Uber Eats, DoorDash) that provide online platforms that link consumers to food available for delivery or pickup within their geographic area(4). OFD companies act as third-party intermediaries, with restaurant companies able to elect to make their products available through particular platforms for a fee, often a percentage of each order, with additional fees to improve marketing opportunities (e.g., prioritised placement, improved appearance in search results) within the platform. Restaurants are responsible for entering information into the platform’s ‘back end’ related to the products on offer, prices and the use of some symbols or logos for a product (such as ‘vegetarian’ and/or ‘healthy’). In addition, a restaurant chooses descriptors (i.e. restaurant types) under which the restaurant will be categorised (e.g. ‘sandwich’, ‘healthy’, ‘Asian’). At present, it seems as though the provision of nutrition information on OFD platforms is provided at the discretion of the restaurateur. The selection of restaurants available to a consumer on an OFD platform is based on a range of factors, including their proximity to restaurant outlets, outlet operating hours and availability of delivery drivers. OFD platforms use proprietary algorithms to tailor the list of available restaurants to individual consumers based on marketing arrangements with restaurants, and using machine learning techniques that draw on customer characteristics and previous purchase behaviour(17).

Corporate strategy

In line with nutrition-related recommendations for all major food companies, we recommend that major OFD companies include public commitments to nutrition and health as part of their corporate strategies, with a focus on targets related to the proportion of revenue generated from healthier restaurants and/or healthier food items. Such commitments can provide an overarching framework to guide company policies and actions. We also recommend that OFD companies routinely report on a range of nutrition-related metrics, including actions taken and progress against commitments and targets. Furthermore, we recommend that OFD companies are transparent about their external relationships (e.g. with governments and community groups) and policy positions (e.g., related to major policy issues, such as nutrition labelling and food-related taxes). Best practice in this area includes policies that limit corporate lobbying and political donations.

Nutrition information

In the area of nutrition information, OFD companies have an obligation to ensure that vendors selling products on their platforms are meeting existing government regulations (e.g. related to the provision of information about energy content). Empirical research suggests that, in some contexts, obligations are not being met(Reference Greenthal, Sorscher and Pomeranz18,Reference Vanderlee, Gaucher-Holm and Lê-Brassard19) . We recommend that OFD companies ensure that their platforms provide both detailed and summary nutrition information for all items available for sale and facilitate restaurants to provide this information in a consistent manner that is easily and predictably available to consumers in prominent ways.

If OFD companies are using symbols, descriptors or logos that have health connotations, clear and transparent criteria are required and should align with and support government-led programmes or policies when possible. For example, OFD companies could help promote the provision of country-specific interpretative nutrition indicators, such as traffic lights, health star ratings or ‘high in’ symbols, that are based on government-endorsed criteria. We recommend that OFD companies also provide tools, such as automated nutrition calculators, that help consumers track and understand the nutritional composition of orders placed. Use of such tools and their effectiveness from a nutrition perspective should be routinely evaluated(20).

Promotions and pricing

In line with WHO recommendations(21,22) , we recommend that OFD companies restrict the exposure of children (under 18 years of age) to the marketing of unhealthy foods and related brands. Given the strong association of FAFH consumption and unhealthy diets(Reference Wellard-Cole, Davies and Allman-Farinelli8), and the predominance of unhealthy fast-food chains on most major OFD platforms(Reference Partridge, Gibson and Roy9,Reference Poelman, Thornton and Zenk23) , restrictions likely need to apply comprehensively across a range of promotion strategies used by OFD companies. In particular, we recommend that OFD companies avoid promotion techniques, such as partnerships with celebrities, that appeal to young people, as well as sponsorships and branding related to settings and events popular with children and families. In addition, we recommend OFD companies restrict promotions that feature unhealthy products and related brands and only enter into joint marketing campaigns with restaurants that have healthy product profiles overall.

Comprehensive actions from OFD companies to restrict unhealthy food marketing would extend to a commitment to avoid the use of premium offers or price discounts for unhealthy products and brands. Instead, we recommend that OFD companies use price-related promotions exclusively to incentivise healthier selections.

More broadly in the area of marketing, and in recognition of emerging issues related to data privacy and digital marketing(21) and concerns regarding the way in which particular population groups are targeted by the marketing strategies of food companies(Reference Bragg, Miller and Kalkstein24), we recommend that OFD companies commit to transparency in the methods used for target marketing, and responsible use of consumer data, in line with relevant regulations.

Product and outlet availability

We recommend that OFD companies increase the visibility and accessibility of healthier products on their platforms. Choice architecture in online food environments has been identified as an opportunity to nudge consumers in a healthier direction(Reference Wyse, Jackson and Delaney14,Reference Bucher and Siegrist25) . OFD companies can do this in a range of ways, such as prioritising the position and presentation of healthier options on landing pages and within search results. In addition, OFD companies can actively promote healthier product selection by ensuring vendors make healthier options, such as low or no-calorie beverages and salad or fresh vegetables, the default in meal combinations (e.g. children’s meals). OFD companies can also promote healthier purchases by limiting the selection of ‘add-on’ options (e.g. a prompt of ‘Would you like to add…’) to healthier products.

Lastly, OFD companies can take steps to encourage greater diversity of restaurant participation in their platforms, which may reduce the dominance of unhealthy fast-food chains and support the development of healthier food systems. In this area, we recommend that OFD companies adopt policies and practices that reduce barriers to entry into the OFD market and support increased participation from smaller restaurant companies.

Product formulation

Many of the recommendations described in earlier sections are likely to encourage restaurants to increase the healthfulness of their offerings. OFD companies could also directly incentivise restaurants to offer healthier products, by requiring restaurants to use healthier frying oils or to meet category-specific nutrient targets (e.g. in relation to sodium and sugar), as a pre-condition to being listed on the platform. We recommend that all company actions in this area are underpinned by clear and transparent criteria for assessing the healthfulness of foods and restaurants, based on government-endorsed guidelines and/or nutrient profiling schemes. We recommend that OFD companies set goals for the proportion of healthier restaurants on their platform and prioritise the presentation of healthier restaurants within existing structures.

Towards health-promoting online food delivery environments

In this commentary, we have identified a range of actions that OFD companies can take to contribute to efforts to improve population diets. While the recommendations are primarily directed towards OFD aggregators, we recognise that their ability to provide healthier foods is largely dependent on the practices and products offered by the restaurants selling products on their platforms. Accordingly, improvements to the healthfulness of FAFH will rely on restaurant companies improving the healthfulness of their food items and the way in which they are marketed. Critically, given the substantial market power that major OFD companies hold and their contractual agreements with restaurants, OFD companies have a substantial opportunity to influence the practices of restaurants related to nutrition.

Despite limited monitoring of the OFD sector related to nutrition, it is clear that very few of the recommended actions have been implemented in practice. While the field is growing rapidly and OFD company practices are likely to evolve quickly, experience from other areas of the food industry shows that voluntary actions in the area of nutrition often fall far short of recommendations(Reference Erzse, Karim and Foley26Reference Vergeer, Ahmed and Vanderlee28). As such, it is likely that government regulation will be needed to establish a ‘level playing field’ for all companies and ensure that online food environments are health-promoting. Apart from limited regulations related to menu labelling in some jurisdictions, there is currently a lack of nutrition-related regulations that apply in the FAFH space. The recommendations proposed in this commentary may help identify areas for regulation, including ways in which existing regulations (and approaches to compliance monitoring and enforcement) may need to be adapted for application to online food environments(Reference Greenthal, Sorscher and Pomeranz18,Reference Vanderlee, Gaucher-Holm and Lê-Brassard19) .

Importantly, some of the recommended actions for OFD companies, such as prioritising healthier options within proprietary algorithms, may prove challenging to regulate. In these cases, OFD companies are only likely to be driven to change by consumer demand, actions by competitors and/or pressure from other stakeholders (such as public health groups, the media and investors)(20,Reference White, Aguirre and Finegood29) . OFD companies can take steps towards the implementation of the recommendations by focusing on giving their customers more autonomy in shaping their online food environment. For example, OFD users could be given a choice to prioritise healthier restaurants or meals within their own algorithms, to apply filters to include only healthier restaurants and/or options or to limit the promotions related to less healthful foods to which they are exposed. Several of the recommendations we have made rely on a clear definition of healthy foods and brands. While multiple systems and approaches have been identified for classifying the healthfulness of FAFH and restaurants(Reference Trapp, Reid and Hickling30Reference Dunford, Wu and Wellard-Cole34), the strengths and weaknesses of applying existing nutrient profiling algorithms in this space, and the applicability of existing systems in diverse contexts are not well established and should be the focus of future research. Lastly, while this commentary has focused on nutrition, the rise of OFD has been noted as having potential negative impacts on other aspects of health and society, including environmental sustainability and workers’ rights(Reference Jia, Gibson and Ding3,4,Reference Meemken, Bellemare and Reardon15,Reference Li, Mirosa and Bremer35,Reference Taufik, Bouwman and Reinders36) . Future research should consider integrating these considerations into a broader set of recommendations for the sector.

Acknowledgements

None.

Financial support

LV is supported by a Canada Research Chair in Health Food Policy. GS is a recipient of a National Health and Medical Research Council Emerging Leadership Fellowship (2021/GNT2008535).

Conflicts of interest

LV and GS often interact with food industry actors as part of their broader research programmes, but do not receive any funding or support from any industry-affiliated groups.

Authorship

LV and GS co-formulated the research question and co-wrote and edited the commentary.

Ethics of human subject participation

This research did not involve data on human participants and thus ethical approval was not required.

References

Statista (2023) Online Food Delivery – Worldwide. https://www.statista.com/outlook/dmo/online-food-delivery/worldwide (accessed November 2023).Google Scholar
Keeble, M, Adams, J, Sacks, G et al. (2020) Use of online food delivery services to order food prepared away-from-home and associated sociodemographic characteristics: a cross-sectional, multi-country analysis. Int J Environ Res Public Health 17, 16.Google Scholar
Jia, SS, Gibson, AA, Ding, D et al. (2022) Perspective: are online food delivery services emerging as another obstacle to achieving the 2030 United Nations sustainable development goals? Front Nutr 9, 858475.CrossRefGoogle ScholarPubMed
WHO (2021) WHO European Office for the Prevention and Control of Noncommunicable Diseases. Slide to Order: A Food Systems Approach to Meals Delivery Apps. Copenhagen: WHO.Google Scholar
Brar, K & Minaker, LM (2021) Geographic reach and nutritional quality of foods available from mobile online food delivery service applications: novel opportunities for retail food environment surveillance. BMC Public Health 21, 458.Google Scholar
Keeble, M, Adams, J, Vanderlee, L et al. (2021) Associations between online food outlet access and online food delivery service use amongst adults in the UK: a cross-sectional analysis of linked data. BMC Public Health 21, 1968.Google Scholar
Lachat, C, Nago, E, Verstraeten, R et al. (2012) Eating out of home and its association with dietary intake: a systematic review of the evidence. Obes Rev 13, 329346.Google Scholar
Wellard-Cole, L, Davies, A & Allman-Farinelli, M (2021) Contribution of foods prepared away from home to intakes of energy and nutrients of public health concern in adults: a systematic review. Crit Rev Food Sci Nutr 62, 5511–5522.Google Scholar
Partridge, SR, Gibson, AA, Roy, R et al. (2020) Junk food on demand: a cross-sectional analysis of the nutritional quality of popular online food delivery outlets in Australia and New Zealand. Nutrients 12, 3107.Google Scholar
Van Dam, I, Wood, B, Sacks, G et al. (2021) A detailed mapping of the food industry in the European single market: similarities and differences in market structure across countries and sectors. Int J Behav Nutr Phys Act 18, 54.Google Scholar
Wood, B, Williams, O, Baker, P et al. (2021) The influence of corporate market power on health: exploring the structure-conduct-performance model from a public health perspective. Glob Health 17, 41.Google Scholar
Bates, S, Reeve, B & Trevena, H (2023) A narrative review of online food delivery in Australia: challenges and opportunities for public health nutrition policy. Public Health Nutr 26, 262272.CrossRefGoogle ScholarPubMed
Delaney, T, Wolfenden, L & Wyse, R (2023) Online food delivery systems and their potential to improve public health nutrition: a response to ‘A narrative review of online food delivery in Australia’. Public Health Nutr 26, 273274.Google Scholar
Wyse, R, Jackson, JK, Delaney, T et al. (2021) The effectiveness of interventions delivered using digital food environments to encourage healthy food choices: a systematic review and meta-analysis. Nutrients 13, 2255.Google Scholar
Meemken, E-M, Bellemare, MF, Reardon, T et al. (2022) Research and policy for the food-delivery revolution. Science 377, 810813.Google Scholar
Sacks, G, Vanderlee, L, Robinson, E et al. (2019) BIA-obesity (business impact assessment—obesity and population-level nutrition): a tool and process to assess food company policies and commitments related to obesity prevention and population nutrition at the national level. Obes Rev 20, 7889.Google Scholar
Deliverect (2023) How Does the Fodo Delivery Apps Algorithm Work? https://www.deliverect.com/en-ca/blog/online-food-delivery/how-does-food-delivery-apps-algorithm-work (accessed November 2023).Google Scholar
Greenthal, E, Sorscher, S, Pomeranz, JL et al. (2023) Availability of calorie information on online menus from chain restaurants in the USA: current prevalence and legal landscape. Public Health Nutr, 18.Google Scholar
Vanderlee, L, Gaucher-Holm, A, Lê-Brassard, M et al. (2023) Availability of calorie information on online food delivery service platforms among major chain restaurants in Canadian provinces with different calorie labelling policies. Can J Public Health 114, 983–991.Google Scholar
United Nations Children’s Fund (2023) Guidance Framework to Support Healthier Food Retail Environments for Children: A Practical Tool for Nutrition and Children’s Rights in the Food Retail Sector. New York: UNICEF.Google Scholar
World Health Organization (2023) Policies to Protect Children from the Harmful Impact of Food Marketing: WHO Guideline. https://www.who.int/publications/i/item/9789240075412 (accessed November 2023).Google Scholar
World Health Organization & the United Nations Children’s Fund (2023) Taking Action to Protect Children from the Harmful Impact of Food Marketing: A Child Rights-Based Approach. https://www.who.int/publications/i/item/9789240047518 (accessed November 2023).Google Scholar
Poelman, MP, Thornton, L & Zenk, SN (2020) A cross-sectional comparison of meal delivery options in three international cities. Eur J Clin Nutr 74, 14651473.Google Scholar
Bragg, MA, Miller, AN, Kalkstein, DA et al. (2019) Evaluating the influence of racially targeted food and beverage advertisements on Black and White adolescents’ perceptions and preferences. Appetite 140, 4149.Google Scholar
Bucher, T & Siegrist, M (2015) Children’s and parents’ health perception of different soft drinks. Br J Nutr 113, 526535.Google Scholar
Erzse, A, Karim, SA, Foley, L et al. (2022) A realist review of voluntary actions by the food and beverage industry and implications for public health and policy in low- and middle-income countries. Nat Food 3, 650663.Google Scholar
Vergeer, L, Vanderlee, L, Potvin Kent, M et al. (2019) The effectiveness of voluntary policies and commitments in restricting unhealthy food marketing to Canadian children on food company websites. Appl Physiol Nutr Metab 44, 7482.Google Scholar
Vergeer, L, Ahmed, M, Vanderlee, L et al. (2022) The relationship between voluntary product (re) formulation commitments and changes in the nutritional quality of products offered by the top packaged food and beverage companies in Canada from 2013 to 2017. BMC Public Health 22, 271.Google Scholar
White, M, Aguirre, E, Finegood, DT et al. (2020) What role should the commercial food system play in promoting health through better diet? BMJ 368, m545.Google Scholar
Trapp, GSA, Reid, N, Hickling, S et al. (2023) Nutritional quality of children’s menus in restaurants: does cuisine type matter? Public Health Nutr 26, 14511455.Google Scholar
Moayyed, H, Kelly, B, Feng, X et al. (2017) Evaluation of a ‘healthiness’ rating system for food outlet types in Australian residential communities. Nutr Diet 74, 2935.Google Scholar
Pulker, CE, Aberle, LM, Butcher, LM et al. (2023) Development of the menu assessment scoring tool (mast) to assess the nutritional quality of food service menus. Int J Environ Res Public Health 20, 3998.Google Scholar
Pulker, CE, Trapp, GSA, Fallows, M et al. (2020) Food outlets dietary risk (FODR) assessment tool: study protocol for assessing the public health nutrition risks of community food environments. Nutr J 19, 122.Google Scholar
Dunford, EK, Wu, JH, Wellard-Cole, L et al. (2017) A comparison of the health star rating system when used for restaurant fast foods and packaged foods. Appetite 117, 18.Google Scholar
Li, C, Mirosa, M & Bremer, P (2020) Review of online food delivery platforms and their impacts on sustainability. Sustainability 12, 5528.Google Scholar
Taufik, D, Bouwman, EP, Reinders, MJ et al. (2022) A reversal of defaults: implementing a menu-based default nudge to promote out-of-home consumer adoption of plant-based meat alternatives. Appetite 175, 106049.Google Scholar
Figure 0

Table 1 Summary of recommended nutrition-related policies and actions for online food delivery companies