Skip to main content

ORIGINAL RESEARCH article

Front. Sustain. Food Syst., 13 November 2023
Sec. Nutrition and Sustainable Diets
This article is part of the Research Topic Sustainable and Resilient Food Systems in Times of Crises View all 15 articles

Pilot study of a digital literacy-based intervention to confront concomitant crises amongst key food system actors in Chile

  • 1Unit of Public Health Nutrition, Faculty of Medicine, Nutrition Department, University of Chile, Santiago, Chile
  • 2Faculty of Agricultural Sciences, Department of Rural Management and Innovation, University of Chile, Santiago, Chile
  • 3Institute of International Studies, University of Chile, Santiago, Chile
  • 4Faculty of Social Sciences, University of Chile, Santiago, Chile

Introduction: The fragility of food systems in Chile has been exposed through concomitant crises, from a social crisis in 2019 to the COVID-19 pandemic, and ongoing climate change. There is an increased dependence on information and communication technologies (ICTs) to produce, sell, and consume food and the digital divide has increased. The lack of digital literacy in Chile has not been evaluated or considered within comprehensive interventions.

Methods: To examine how local food systems can be strengthened, we conducted a pilot study of a digital literacy-based intervention with smallholder farmers, vendors, and consumers (n = 96) of different age groups (25–45 y, and 46–65 y) from adjacent urban and rural regions in Chile. Telephone surveys were carried out on the use of ICTs, access to the food environment, and agricultural practices during crises. A 5-week digital literacy intervention was carried out on digital confidence, the use of ICTs to generate networks, networks, the use of apps to sell or buy food, banking operations, and communication with state agencies. We also planned a virtual conversation about the food system and nutrition in Chile.

Results: All participants knew how to read and send WhatsApp messages but >50% of farmers and vendors reported cell signal problems. Between the 2019 social crisis and the COVID-19 pandemic, supermarkets as the main source of food decreased from 79 to 57%, and delivery increased from 2 to 17%. In total, 92% of the participants received the intervention, and 52% expressed satisfaction. Across participants, the average implementation score was 61%. Only one person connected to the virtual conversation.

Discussion: Crises have impacted how the Chilean population in both urban and rural regions navigate their food environment for their household as well as small-scale agricultural production in these areas; elucidating a greater dependency on ICTs amongst small-scale farmers, vendors, and consumers in Chile to buy and/or sell food. We also conclude that it is feasible to implement a digital literacy intervention for key food system actors in urban and rural settings in Chile. Future studies will contribute to the evidence base about the feasibility and impact of similar digital literacy interventions; an area of increasing importance given the rising prevalence of the digital food environment worldwide.

Introduction

Ongoing climate change together with the COVID-19 pandemic have exposed vulnerabilities in both local and global food systems (FAO, IFAD, UNICEF, WFP, and WHO, 2022). In the case of Chile, a social crisis that started in October 2019 led to the damage of many supermarkets, some of which remained closed during the COVID-19 pandemic. This, together with ongoing climate change, has had an impact on the Chilean food system, making its fragility visible (Kanter and Boza, 2020). These concomitant crises are superimposed on the existing challenges of obesity, undernutrition, and climate change; referred to as the global syndemic (Swinburn et al., 2019). The COVID-19 pandemic highlighted the importance of the digital food environment, or the digital aspects of food environments that include both digital sectors (e.g., digital food sales) and actors (e.g., public and private entitles) that interact in digital settings (e.g., smartphone applications, social media) (Granheim, 2019). The digital food environment, in Chile and globally, has exacerbated the digital divide by pushing many to depend on information and communications technologies (ICTs) to produce, sell, and eat their food and excluding those that lack digital literacy or ICT access. The UN Educational, Scientific and Cultural Organization (UNESCO) defines digital literacy as “a set of basic skills which include the use and production of digital media, information processing and retrieval, participation in social networks for creation and sharing of knowledge, and a wide range of professional computing skills” (Karpati, 2011, p. 1). Digital tools, or ICT, can strengthen local food systems by (1) informing consumers about healthy and sustainable diets to motivate behavior change and; (2) facilitating linkages between food demand and supply (Todorovic et al., 2018). However, how to improve digital literacy for agriculture and food systems actors is largely ignored (World Bank, 2017; Trendov et al., 2019). The impact of digital literacy on strengthening food systems has not yet been evaluated in Chile, nor have comprehensive interventions been proposed in this regard.

In Chile, smartphone use became common in the general population relatively early compared to other Latin American countries, such that by 2010 there was on average more than one mobile cellular subscription per inhabitant (World Bank, 2022). Studies prior to the COVID-19 pandemic suggest that small-scale producers did not use online services for business-related purposes, such as online banking, sales, purchase of inputs, or carrying out administrative procedures with public institutions (Boza et al., 2018, 2019). The strict COVID-19 lockdown measures in Chile, which led to farmers market closures, prompted an increased demand for the delivery of fresh products (Boza and Kanter, 2021). The global impact of COVID-19 exacerbated the dependence on the digital food environment in Latin America and elsewhere, even with great diversity in the makeup of local food systems within and between countries (O’Meara et al., 2022). Commonalities have been observed in the way that food systems of different countries dealt with COVID-19, both in its impacts and in its adaptation and resilience strategies, which suggests that this pilot study may be useful for other countries.

Leading up to the COVID-19 pandemic, small-scale producers in Chile were not taking advantage of how digital tools could help them in their value chain (Klerkx et al., 2019). The subsequent ramifications of this limited the promise of small-scale producers in Chile to contribute to the expanding digital food environment through greater sales of fresh products. A better understanding of digital literacy amongst key food system actors in Chile will provide insights as to how to strengthen food systems through digital means. Therefore, from 2022 to 2023, we conducted a virtual study to pilot a digital literacy intervention amongst key food systems actors in the adjacent Metropolitan and O’Higgins regions of Chile, where there is a high adult obesity prevalence and where fresh food provision, especially fruits and vegetables, is concentrated (Boza et al., 2020). This approach addresses the limitations of previous studies that have not specifically examined digital literacy amongst food system actors for the purpose of food systems strengthening.

The primary aim of the pilot study was to assess the feasibility of implementing a digital literacy intervention amongst three key actors from Chilean food systems: small-scale farmers, farmers market vendors, and consumers. The secondary aim of the pilot study was to identify how the fragility of food systems in Chile has manifested itself during concomitant crises (social, COVID-19, climate change) and elucidate trends in the usage of information and communication technologies (ICTs) to produce, sell and consume food. Thus, the purposes of this article are: (i) to present how key food systems actors in Chile have utilized ICTs between 2019 and 2021; (ii) to present the core components of the digital literacy intervention; (iii) to present strategies used in its pilot implementation; and (iv) to discuss lessons learned during the implementation and evaluation of the pilot study, and share implications for subsequent digital literacy interventions globally. The present study is unique in that its focus is on digital literacy, rather than ICT utilization, and the importance of tailoring a digital literacy intervention based on food system actor group and area (urban/rural); enabling a better understanding of how to implement digital literacy interventions for local food systems strengthening.

Evidence before this study on the role of ICT and food systems

We searched PubMed for any study published up until 28 July 2023 using the search terms “ICT” or “Information and Communication Technologies” and “food systems” which yielded six results; of which three were relevant to this study. Samoggia et al. have conducted a systematic review of “digital technologies in the agro-food sector” in which they concluded that “Apps” are the most prevalent digital technology within the agro-food chain, especially within the production, distribution, and consumption sectors (Samoggia et al., 2021). In China, in response to the COVID-19 pandemic, Zhan and Chen highlight the important role that ICTs played in keeping the food supply chains operating as normally as possible, from virtual technical support to agricultural producers, to virtual events to connect all the actors in the food supply chains, and digital applications for e-commerce that included contactless delivery services (Zhan and Chen, 2021). In the third paper, MacKenzie and Davies describe the co-design of an online sustainability impact assessment (SIA) framework called SHARE IT with the purpose of disseminating “ICT-mediated food sharing initiatives” and their subsequent impacts on urban food systems, especially in terms of its contribution to the sustainability of said systems (Mackenzie and Davies, 2019). In this context, food sharing is defined as activities around food that are not limited to eating or drinking together, such as community gardens, community kitchens, and redistributing food products to those in need; of which websites, apps, and social media platforms are becoming the common means to promote food sharing initiatives (Mackenzie and Davies, 2019). On the Share City website, one can search a database of such initiatives and register a food-sharing initiative, and undertake a related sustainability assessment if desired (ShareCity, 2023). All three of these studies highlight the myriad positive contributions ICT has brought to food systems that can be applied to different contexts globally. However, none of these three articles mentioned digital literacy and thus, presume that the users and beneficiaries of said ICTs within food systems have the level of digital literacy necessary and sufficient to utilize the given ICT.

A second PubMed search for “digital literacy” and “food systems” resulted in only one new (2023) study on the multi-faceted role that Facebook has played in strengthening how small farmers in Myanmar do business (Faxon, 2023). While this work was funded through a grant from “Facebook Research on digital literacy, demographics and misinformation in Myanmar,” digital literacy, or literacy alone, is not mentioned in the body of the text itself (Faxon, 2023). These studies suggest that food systems actors can benefit from ICT use through online videos, apps, and different social media platforms that greater digital literacy can help facilitate. Digital literacy is not limited to solely the literal use of ICT nor its production (e.g., the Share City website) as both the user and the beneficiary process its respective information, and in the case of social media, participate in social networks to both create and share knowledge (Reddy et al., 2020). Thus, a greater focus on education around digital literacy competencies is warranted to ensure that the maximum positive benefit and reach of ICTs within food systems is achieved and that they do not exacerbate the current digital divide that still exists in many countries (Reddy et al., 2023). Taken together, digital literacy is important because it improves the utilization of ICTs which in turn can help strengthen food systems through different impacts throughout the agri-food chain.

Methods

Study setting and sample

The study was conducted in two adjacent regions in the center of Chile: the more urban Metropolitan Region where over half of the Chilean population resides and the capital, Santiago, is located, and the rural Region of O’Higgins. The region of O’Higgins has one of the largest rural populations in Chile and an economy heavily dependent on agriculture that together offers important socio-demographical contrasts compared to the Metropolitan region (Rengifo et al., 2022). While both regions have a high prevalence of adult obesity, more school-age children are obese in rural areas than those in urban areas (JUNAEB -Ministerio de Educación, 2023). The region of O’Higgins has one of the greatest proportions of employed men and women in the agricultural sector (21.4%) of Chile’s 16 regions, while the Metropolitan region has one of the lowest (1.8%) (ODEPA, 2023). However, the predominance of seasonal agricultural work in the O’Higgins region has led to one of the country’s highest unemployment rates for contract (non-salary) workers. Thus, O’Higgins is one of two regions in which, independent of an average educational completion of 12 years, the majority of employed people are located in vulnerable areas and with an average income that does not exceed 1.5 times the minimum wage (Municipalidad Rancagua, 2018). While the Ministry of Agriculture has designated many places within both regions as agricultural emergency areas due to drought, extreme weather events have a greater impact on the O’Higgins region related to the aforementioned characteristics (MINAGRI, 2023). Given these socio-demographical contrasts between the O’Higgins and Metropolitan regions, the proximity between the two in turn motivated the selection of these two regions for the study setting. The study sample was designed to include 96 participants stratified by region (n = 48), by actor (small farmer, vendors, and consumers), and by age group (25 to 45 years and 46 to 65 years) and sex to provide a pilot size sample sufficient to assess the feasibility and acceptability of a digital literacy intervention. Overall, for each category of region, actor, age group, and sex four participants were included if they reported residing in the specified region, defined themselves as being a small farmer, food seller, or consumer, and was between the ages of 25 and 65. Participants were recruited through word of mouth and invitations to participate that were also published on social media.

Baseline data collection

Knowledge of participants’ baseline levels of digital literacy and use (or lack thereof) of different digital platforms was essential for the design of the digital literacy intervention described below. Therefore, we collected survey data from all participants on socio-demographic characteristics, use of information and communication technologies (e.g., cellular phones), food environment access, and food insecurity, specifically the Spanish version of the food insecurity experience scale (FIES) for COVID-19 household reference version (FAO, 2020). The food environment access survey included 14 questions about how all participants accessed food for their household during three different time periods: (i) before the social crisis in October 2019, (ii) during the social crisis, and (iii) during the COVID-19 pandemic, with specific questions about their local farmers market and the use of social media to obtain foods during the COVID-19 pandemic. From the participants who self-identified as small-scale producers (i.e., farmers) we also collected survey data on agricultural practices during these same three time periods. Many of the 23 survey questions were categorical and asked about their agricultural production and related costs, interaction with intermediaries, and needs for technical assistance. Due to the digital objective of this study, all surveys were designed to be implemented through a conversation via cellular phone. A trained research assistant in public health nutrition conducted all surveys in Spanish between March and October 2022. All survey instruments have been previously validated in Chile (Boza et al., 2019) or in Latin America (Kanter et al., 2014; Rubinstein et al., 2016; FAO, 2020).

Digital literacy intervention design

Based on how digital tools might benefit a food system actor differently, the digital literacy intervention was designed separately for small-scale producers, vendors, and consumers. To design the digital literacy intervention, five key competencies were defined based on the statistical analysis of the telephone survey data described below and previous studies related to digital literacy, especially in Latin America, which considered the COVID-19 pandemic (Ministerio de Educación y Cultura and Centro MEC, 2010; Hargittai and Dobransky, 2017; Letelier Loyola, 2019; Sunkel and Ullmann, 2019; NU. CEPAL, 2020; OEA and Twitter, 2021). The first key competency was digital trust (i.e., virtual connectivity, data protections, and digital identity) with a sub-competency of being able to use ICTs to search for information. The second key competency was the frequent use of information technologies for communication and networking (e.g., through WhatsApp, email, Facebook, Instagram, other social media platforms and Zoom) with a sub-competency specifically about how to use Zoom. The third key competency for the small-scale producers and vendors was sales networking using WhatsApp communities and a sub-competency on “WhatsApp Business.” For consumers, the third key competency was on how to use applications to purchase food (e.g., Uber Eats, Cornershop). The fourth key competency was about how to do banking operations using ICTs (e.g., viewing monthly statements, bank transfers, communicating with the bank, etc.). The fifth key competency was how to use ICTs to communicate with state entities (e.g., the Institute of Agricultural Development of the Ministry of Agriculture (INDAP) – for farmers, how to emit an electronic receipt for vendors, and the National Consumer Protection Agency (SERNAC) – for consumers). For each competency, five literacy levels were identified: basic, fundamental, intermediate, advanced, and expert (Table 1) based on the necessary skills of digital literacy (use, communication/interaction, analysis, and creation) as Lee suggests (Lee, 2014). To design the digital literacy intervention, we utilized the study variables collected in the surveys to determine what baseline level of digital literacy each participant had within each key competency. This is described in detail in the following subsection. Each participant received material for the level ahead of their baseline level. For example, if a participant had a baseline level 1 then they received the material that targeted level 2 of the same competency. Because small farmers/vendors had statistically significant differences from consumers related to ICT use, the digital literacy intervention was designed separately for small-scale producers/vendors and consumers, and the materials were tailored to these two groups. Whereby, for each key competency and literacy level, visual materials were separately designed for small-scale producers/vendors and consumers.

TABLE 1
www.frontiersin.org

Table 1. Intervention content and level by food system actor group.

Digital literacy intervention

The digital literacy intervention took place between November and December 2022. At the beginning of each week, each participant was sent via WhatsApp the digital visual materials that corresponded to their actor group and key competency for that week. All participants included in the telephone surveys were offered the 5-week digital intervention program The study procedures and timeline are presented in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. Pilot study timeline and procedures.

Definitions of each key competency level based on the study variables for the digital literacy intervention

Low or no digital trust was defined for farmers and vendors as no digital sales and not using WhatsApp for work purposes or not using electronic banking whereas no specific variables were used to determine low or no digital trust for consumers. The use of ICTs to search for information was defined for all as those who reported using their phone to browse the internet. The frequent use of ICTs for communication and networking differed between farmers/vendors and consumers. The farmers and vendors with no or low use of ICTs for communication and networking either did not know how to read WhatsApp or use their cell phone to chat or knew how to use their cell phone for WhatsApp, but did not use their cell phone for social media purposes. For farmers and vendors, respectively, frequent use of ICTs for communication and networking was defined as having made digital sales through WhatsApp or having utilized WhatsApp for work or using their cellphone for both WhatsApp and social media while those with more advanced use and skill have utilized any social media platform for digital sales. The consumers with frequent use of ICTs for communication and networking was defined as those who used their cellphone for both WhatsApp and social media compared to those who only used their cellphone for WhatsApp (low communication and networking skills) and those who did not even use their cell phone for WhatsApp (no ICT use for communication and networking). Amongst all participants, because only one person reported using Zoom as a means of using ICTs for communication and networking, it was assumed that all other participants did not know how to use Zoom, especially on a cell phone. For farmers and vendors, we defined sales networking as those that reported using digital platforms, especially WhatsApp, for business purposes, specifically digital sales. Consumers who had reported using apps during the COVID-19 pandemic to purchase food for their household were defined as those with advanced use of these apps, while those that have only had experience using social media platforms to do so (i.e., Facebook, WhatsApp, or Instagram) were defined as intermediate users. Consumers who had not reported using their cell phones to buy food for their household during the COVID-19 pandemic but reported knowing how to use social media platforms were defined as having a basic level of being able to use apps to purchase food compared to those who did not use their cell phone for any social media. Online banking literacy was defined as intermediate where participants had reported using online banking as well as online Bill Pay; as low, when they only used online banking but not online Bill Pay; or none, when they reported neither of these actions. For all participants, ICT use to communicate with state entities was defined either as low if someone reported using email or none for those who did not use email.

Food system dialogue

After the conclusion of the digital literacy intervention, we invited via a WhatsApp graphical invitation all the participants who completed the intervention to participate in a virtual food systems dialogue (FSD), over the Zoom platform, about food and the food system in Chile. The FSD method is a globally validated methodology designed to (a) engage groups who would not normally work together, (b) foster greater agreement and ambition among them, and (c) encourage greater alignment and more intensive action” (Food Systems Dialogues, 2019). The purposes of the FSD were to convene the food system actors to engage in an interactive dialogue, including about the digital literacy intervention for improving Chilean food systems and nutrition, to close out the project, and to assess inherent digital literacy levels through one’s capacity to use Zoom.

Intervention process indicators

Multiple process indicators were defined to assess the implementation of the intervention and if it was successful. Reach was defined as those with a valid cell phone number as well as with WhatsApp during the first week of the intervention based on the premise that if a participant could be sent the digital intervention materials during the first week, they would be able to receive intervention materials during the four subsequent intervention weeks; and the average reach was determined based on these two indicators. Dose delivered was defined as the percentage of participants that received all of the digital intervention materials as indicated by the WhatsApp double check mark system that indicates that a user has received the message and did not include participants lost to follow up. Dose received was defined as two different aspects of participant engagement: receptive to materials and satisfaction. Dose received related to the receptivity of materials was defined as the percentage of participants that viewed all of the digital intervention materials according to the WhatsApp blue check mark system that indicates when a user has viewed the message. Dose received related to satisfaction was defined as any time a participant responded positively to the intervention materials, such as through messages sent in response or emoticons; that also reflected the absence of participant discontent or desire to abandon the study (Ishaq Bhatti et al., 2014; Georgsson and Staggers, 2016). The average dose received was based on both indicators of dose received. To determine an overall implementation score we utilized the multiplicative approach based on the following equation: average reach multiplied by dose delivered multiplied by average dose received multiplied by average fidelity (Steckler and Linnan, 2002). Given that the intervention was designed and sent on schedule as planned we assumed a fidelity of 100%.

Statistical analysis

Descriptive statistics were used to illustrate both the baseline characteristics and the outcome variables related to the digital literacy intervention of all participants initially enrolled in the study stratified by actor group (small-scale farmer, vendor, and consumer) and region (Metropolitan and O’Higgins). Many of the baseline characteristics entailed categorical variables for which proportions were calculated. While means were calculated for the continuous variables. For the questions with a categorical response that were asked in the context of three different time periods (i.e., before the social crisis, during the social crisis, and during the COVID-19 pandemic), as well as the distance one reported from a farmers market, the chi-squared test was used to determine if the distribution of these variables was statistically significantly different across each actor-region group. Chi-squared tests were also used to determine if statistically significant differences existed between baseline characteristics related to digital literacy and by actor group. For example, whether having internet at home or a preferred means of communication was statistically significantly different between small-scale farmers, vendors, and consumers. For each chi-squared test that was performed, statistical significance was set at p < 0.05. All statistical analyses were conducted using STATA 17.0/SE (StataCorp, 2021).

Ethical considerations

The study was approved by the ethics committee of the University of Chile. Verbal informed consent was obtained from all participants after the study protocol had been explained to them over the telephone in Spanish.

Results

Sociodemographic characteristics and ICT use

Nearly a third (28%) of participants expressed that they or their household had experienced some form of food insecurity between 2021 and 2022; 96% of which was attributed to the COVID-19 pandemic (Table 2). Almost all participants reported having received some form of State support due to the COVID-19 pandemic, mainly emergency family income payments for income relief during COVID-19 to economically vulnerable households. Across regions, vendors reported greater overweight or obesity, type 2 diabetes, and COVID-19 compared to farmers and consumers (Table 2). Most consumers had completed higher education and reported that someone in the household was teleworking due to the COVID-19 pandemic. Most of both vendors and consumers reported that someone teleworking in the household due to the COVID-19 pandemic affected mealtimes. Farmers and vendors in both regions reported either sometimes or always having cell signal problems while over half of consumers in both regions reported never having cell signal problems. Having both internet and a computer at home was >60% across all actor groups, except rural farmers in which only 38% had internet at home and 50% reported having a computer at home. Most urban consumers reported knowing how to use a computer (88%), compared to 69% of rural consumers, 50% of urban vendors, approximately 40% of all farmers, and only 38% of rural vendors. More farmers in urban areas (37%) preferred television as a form of mass communication compared to farmers in rural areas who preferred internet web pages (44%). Television was the preferred form of mass media across vendors. Consumers were split in their preferred form of communication between television and internet web pages. In both regions, many participants used their cell phones to make and receive calls, use the internet, chat (e.g., WhatsApp), and social media. Almost all participants reported that they knew how to read and send a WhatsApp message (99%) and how to use email (86%). Urban consumers (66%) and rural farmers (55%) were the only groups in which over half reported having a dedicated work email. Compared to consumers and farmers, fewer vendors reported using online banking, and only half of rural vendors reported using online Bill Pay. However, 50% of rural vendors reported that they started an online business during the COVID-19 pandemic for more income, more than farmers and consumers, while 50% of urban farmers reported adapting their actual business during the COVID-19 pandemic, such as selling more fruits and vegetables from home, to complement their income. Also, during the COVID-19 pandemic, two-thirds of consumers in both regions accessed social media to receive nutrition information and/or healthy eating tips which was more than farmers and vendors, respectively.

TABLE 2
www.frontiersin.org

Table 2. Socio-demographic characteristics and information and communications technology (ICT) use by region Urban RM (Metropolitan Region) or Rural OH (O’Higgins Region) and actor group (Ag: small-scale producer, Ven: vendor, and Con: consumer).

Trends in the food environment across food system actors and crises

Most of the study participants reported being the primary food shopper for the household, except for rural vendors (Table 3), which, across groups, was statistically significantly different by sex (p = 0.045, data not shown). Before the Chilean social crisis in October 2019, across food system actor groups and regions, 79% of participants reported buying food for their household from supermarkets, this ranged from 94% of rural farmers to 62% of urban vendors. During the Chilean social crisis, however, 66% of participants reported buying food for their household from supermarkets, and the percentage of participants buying food from neighborhood stores increased from 3% before the Chilean social crisis to 11%. With the onset of the COVID-19 pandemic, the number of participants buying food from supermarkets declined even further to 57%, while delivery increased to 17% compared to only 2% before the Chilean social crisis, and was highest amongst urban farmers and vendors (p for trend = 0.011). While nearly all participants reported having access to a farmers market in their community, the distance to the farmers market varied widely and was statistically significantly different across actor-region groups (p < 0.000). Only 36% of participants had a farmers market within less than 1 kilometer from home, especially urban vendors and consumers. Approximately 40% had a farmers market more than 3 kilometers away, including 9 participants who reported a farmers market within 18–25 kilometers from home. Before the October 2019 social crisis, 60% of all participants reported going to the farmers market on a weekly basis. During both the social crisis and COVID-19 pandemic weekly attendance declined to 42 and 32%, respectively, and 60% of urban farmers reported never going to a farmers market during these time periods. Except for urban vendors, over a third of all participants reported that they or someone in their household has used social media to obtain food for the household, including 62% of urban consumers. Of these participants, 81% reported using WhatsApp to obtain food. Most urban consumers reported that their use of delivery to obtain prepared food increased in their household during the COVID-19 pandemic which was not the case for the other groups. Before the social crisis in October 2019, among all participants, 75% reported eating together at the same table in the household which increased to 87% during the COVID-19 pandemic.

TABLE 3
www.frontiersin.org

Table 3. Food environment characteristics by region Urban RM (Metropolitan Region) or Rural OH (O’Higgins Region) and actor group (Ag: small-scale producer, Ven: vendor, and Con: consumer).

Farmer characteristics related to crisis

Farmers in both study regions experienced changes related to their agricultural production during each of the three crises in Chile: the social crisis, the COVID-19 pandemic, and climate change (Table 4). While the number of people who worked on the farm did not change over the study period, approximately half of all farmers reported that it has been harder to find workers either due to the COVID-19 pandemic or due to climate change. Most of the farmers in both regions use drip irrigation and reported having to make changes in their agricultural production due to the drought. Approximately half of the farmers reported using fertilizers, pesticides, or herbicides. Independent of input type, half of the farmers also reported that how much they spend on inputs has changed with climate change and during the COVID-19 pandemic. Two-thirds of farmers use mechanization for production, but only 38% reported that they are motivated to make changes in mechanization or other changes to continue producing agriculture. Two-thirds of farmers also reported that they believe the price of gas has increased due to climate change, while 58% believe that the price of gas also changed due to the COVID-19 pandemic. Half of the farmers reported that during the COVID-19 pandemic, they had to sell their products via digital platforms, primarily through WhatsApp. Approximately half of the farmers in this study also reported that due to climate change, they knew of someone who had decided to abandon agriculture while 44% of farmers reported that they knew someone who had decided to abandon agriculture due to the residential building pressure related to urbanization. Prior to the social crisis up through the COVID-19 pandemic, most farmers maintained contact for extension or technical assistance, but what was previously in-person contact changed to phone calls (32%) or WhatsApp (44%) during the COVID-19 pandemic. Specifically, more rural farmers preferred phone calls to maintain contact for extension or technical assistance during the COVID-19 pandemic compared to urban farmers (43% vs. 18%), while urban farmers preferred WhatsApp (64% vs. 29%). The means of information that a farmer preferred for technical assistance and/or workshops also varied by region. Over half of rural farmers preferred in-person visits by an extensionist, while half of urban farmers preferred to visit demonstrative farms.

TABLE 4
www.frontiersin.org

Table 4. Farmer characteristics by region Urban RM (Metropolitan Region) or Rural OH (O’Higgins Region).

Digital literacy intervention and food systems dialogue

This pilot study from which we are presenting results was done to validate the digital literacy intervention. The baseline digital literacy level statistically significantly differed between farmers, vendors, and consumers across some variables, including having internet at home, using a computer, and online Bill Pay (Table 2), revealing that farmers and vendors have similar digital literacy levels compared to that of consumers. Thus, although the 5 digital literacy intervention competencies were similar across food system actor groups and regions, the expectations for each level (basic through expert) were different for consumers. For example, for the key competency digital trust level 1 for small-scale farmers and vendors was “Fear and insecurity of technology,” while for consumers it was “Apply data protection measures such as double encryption and secure locks (Table 1).” In addition, the third key competency of sales networking was tailored to small-scale farmers and vendors to consider their business needs while for consumers the third key competency was “Continuous and extensive use of APPs to buy food (e.g., UberEats).” During the first week of the digital intervention, all 96 survey participants were included and sent the first intervention material to a valid number and only a few participants did not have WhatsApp at the time (Table 5). All farmers and urban vendors received all 5 weeks of the digital intervention while some participants in the other groups declined to participate at some point. Of those who received all of the digital intervention, most participants viewed all the digital intervention materials, except for rural consumers according to the blue check marks feature of WhatsApp. Most urban farmers and consumers also expressed their satisfaction with the digital intervention at any week during the intervention (e.g., responding “Many thanks” or “Thanks, I’ll share it with the community”). The overall implementation score was highest amongst urban farmers (88%) and consumers (75%), and lowest amongst rural vendors (43%) and consumers (41%) (Table 5). All 88 participants who completed the dialogue literacy intervention were invited to the food systems dialogue over Zoom to close out the project. Ten people expressed interest via WhatsApp message in attending the event. After waiting 20 minutes, only one person, a rural farmer, showed up and thus, the food systems dialouge was canceled for lack of a suitable quorum (three people minimum) for the activity. The rural farmer that showed up expressed interest in the study and such an event because “We want everything to be more organic, better for health and society. So I’m interested if you all do another dialogue in the future.” After the event closed, five people expressed barriers to attending the event after its conclusion which included being busy with farm work and not being proficient in Zoom, forgetting about the event, and family caregiving.

TABLE 5
www.frontiersin.org

Table 5. Intervention process indicators by food system actor group and region Urban RM (Metropolitan Region) or Rural OH (O’Higgins Region).

Discussion

A digital literacy intervention was moderately implemented amongst key food system actors (small-scale farmers, vendors, and consumers) in the Metropolitan and O’Higgins regions of Chile. Thus, when considering all the intervention process indicators, implementation was highest amongst (≥70%) farmers and urban consumers, but lower amongst the other groups, with an average of 61%. The pilot implementation took advantage of tailoring a digital literacy intervention to distinct actors in the food system based on their baseline digital literacy level, and that nearly all participants knew how to read and send WhatsApp messages. During the intervention study, we carried out most of the activities envisioned within the operational plan. The objectives, subject population, and 5-week intervention timeline were not significantly altered during the pilot study implementation. However, the methodological strategy of a food systems dialouge to assess the acceptability of the digital literacy intervention had to be adjusted, and ultimately canceled, because the attendance of only one participant prevented its successful implementation.

As indicated in the Introduction, our secondary purpose was to identify how the fragility of food systems in Chile had manifested itself during concomitant crises (social, COVID-19, climate change) and elucidate trends in the usage of information and communication technologies (ICTs) to produce, sell, and consume food over this period. In both regions, half of the farmers declared knowing someone who abandoned agriculture due to climate change. The pilot study also revealed statistically significant changes in the main source of food for the household comparing the time periods before the social crisis, during the 2019 social crisis, and during the COVID-19 pandemic, and indicated that the COVID-19 pandemic stimulated additional business models and sources of income. During the COVID-19 pandemic, a third of all participants started an online business for more income, while farmers and vendors made adaptations to their actual business to sell more fresh fruit and vegetable products.

Some of the main contributors to the success of the pilot study was the focus on conducting the study entirely virtually and tailoring the digital literacy intervention to each food systems actor group. Analyses of telephone surveys involving small-scale farmers, farmers market vendors, and consumers indicated that small-scale farmers and vendors have a different baseline digital literacy level and, as expected, have different needs for digital tools from those of consumers. For example, more small-scale farmers and vendors reported starting an online business as well as adapting their actual business to sell foodstuffs from home during the COVID-19 pandemic for more income. Amongst all participants, there was a notable trend in the decline of supermarkets as the main place to buy food for the household during the Chilean social crisis and the COVID-19 pandemic, and a parallel increase in delivery as the main means to obtain food for the household. To the best of our knowledge, this is the first digital literacy intervention to be designed and implemented across different food system actors, in any setting. With the COVID-19 pandemic, there is a greater awareness of digital literacy as a limiting factor in telemedicine utilization in the United States (Bejarano, 2022), but scientific studies of digital literacy are severely lacking in other areas, such as food access.

The incorporation of ICTs into both professional and personal life shows no signs of abatement, but little is known about how digital literacy is an essential component of ICT use. One area where ICTs have been explicitly studied in relation to digital literacy and that has increased dramatically since 2012 is with regard to digital health interventions (Benny et al., 2021). In their review of digital health interventions between 2001 and 2020, of which only 7 of 131 eligible studies included digital literacy, Benny et al. assert that there is no clear explanation as to why studies about health literacy have dramatically exceeded those about digital literacy. Further corroborating the findings of the review by Benny et al., reviews since 2021 on digital literacy have also focused on health outcomes (Campanozzi et al., 2023), and specific segments of the population, such as older adults (Oh et al., 2021) and students (Gutiérrez-Ángel et al., 2022; Nogueira et al., 2022). While the COVID-19 pandemic elucidated the importance of digital literacy for students inadvertently forced into online learning and an increased reliance on telemedicine by the elderly, there is still a paucity of digital literacy research, let alone interventions, as it relates to other areas essential for human resilience.

In our study, we obtained a group of food system actors representative of other small-scale producers, vendors, and consumers when compared with similar food system actors across Latin America, in terms of the increase in, and utilization of, home delivery services through digital platforms, especially of fresh foods, during the COVID-19 pandemic (Boza, 2021). For scaling up the intervention more broadly to the Chilean population, it will be important to assess digital literacy levels and interest through shorter more flexible instances. Study participants demonstrated a high level of receptivity to the digital literacy intervention in terms of viewing all the materials and only eight participants did not complete the full 5-week intervention. Rural consumers were the only group in which less than two-thirds of participants viewed all of the digital intervention materials.

Strengths and limitations

Throughout the course of the digital intervention, participants, especially urban farmers and consumers, expressed satisfaction and perceived benefit that is consistent with other personalized mobile health interventions (Alessa et al., 2018; Cao et al., 2022). Despite the moderate success of the pilot study, we encountered several barriers related to the successful implementation of the food systems dialogue and thus, the assessment of digital literacy in general. The low attendance is consistent with emerging literature on the challenges in qualitative research using online video conferencing methods, especially with underserved populations and in the absence of childcare, even when advanced training (e.g., how to use Zoom) is offered (Lathen and Laestadius, 2021; Tran et al., 2021). These findings are important for considering the replication of a similar digital literacy intervention in other regions of the country. Organizers of such interventions or synchronous virtual events will need to consider alternative ways to assess digital literacy as well as co-creating the event with targeted participants to select a more feasible time and foster greater accountability to show up. Another important barrier that the study faced because the food systems dialogue could not be completed was the lack of an alternative method within the study protocol to assess digital literacy as well as other indicators of intervention satisfaction/usability post-intervention. One study, however, suggests that the blue check marks in WhatsApp when one views a message are related to the fact that some participants prefer to listen rather than verbally express satisfaction through other means (Yeshua-Katz, 2021). Future implementation of digital literacy interventions will also require infrastructure resources to improve cellular signal coverage, especially for small-scale producers that, even though they may live in urban and rural areas, are more likely to be working in more remote areas.

To the best of our knowledge, this is the first digital literacy intervention specifically tailored to and implemented amongst food systems actors. The fact that nearly all participants knew how to read and send a WhatsApp message reflects the increasing prevalence of WhatsApp in global health services research (Manji et al., 2021), participatory research in other Latin American settings (Börner et al., 2023), and within food systems (Samoggia et al., 2021). Participants were able to express a form of satisfaction with the digital literacy intervention because they were already proficient with WhatsApp. We believe that the positive comments observed are likely because the participants truly liked the intervention material even though we did not capture more specific information related to the perception of the intervention content. However, it is inherently challenging to implement a digital literacy intervention through digital means because it is possible that a lack of digital literacy, and/or cellular signal, may still limit user participation and satisfaction during the intervention. Future studies might also consider giving part of a digital literacy intervention in person, with virtual follow-up.

Policy implications

This study has implications for public policy and research within Chile as well as the Latin American region, if not globally. Given the growing incidence of extreme weather events due to climate change, such as massive flooding in the O’Higgins region that instantaneously affected both food production and consumption (Gálvez and Canales, 2023), there is an even greater imperative for multiple ministries (e.g., agriculture, social and family development, health, education, women and gender equity) to incorporate digital literacy programming into their materials. For example, the Uruguayan government through its Ministry of Education and Culture has a National Plan for Digital Literacy (PNAD, for its acronym in Spanish) that consists of free guided workshops for the population on different digital literacy objectives (Ministerio de Educación y Cultura and Centro MEC, 2010). The government of Nigeria, a middle-income country, through its National Digital Economy Policy and Strategy, has set a goal of achieving 95% digital literacy by 2030 with a related agenda for how to do so through its National Digital Literacy Framework (NITDA, 2019, 2023). Chile and other countries globally might consider adapting similar public policy efforts that aim to increase digital literacy levels nationwide in an equitable manner, rather than inadvertently exacerbating an already existing digital divide.

Conclusion

Based on the study results we conclude that different crises in Chile, from a social crisis in October 2019 to ongoing climate change to the COVID-19 pandemic, have impacted how the Chilean population in both urban and rural regions navigate their food environment for their household as well as small-scale agricultural production in these areas. This taken together has elucidated a greater dependence on ICTs amongst small-scale farmers, vendors, and consumers in Chile to buy and/or sell food. Amongst these key food systems actors, we determined that it is feasible to implement a digital literacy intervention for key food system actors in urban and rural settings in Chile. Therefore, we conclude that the digital literacy intervention was successfully implemented across food system actor groups in the urban Metropolitan region as well as rural small-scale farmers. The results also suggest that basic literacy in WhatsApp facilitated the implementation of this pilot study. It is important to adapt a digital literacy intervention to the distinct realities of small-scale farmers and farmers market vendors, especially in rural areas, compared to consumers and better understand the context-specific barriers to implementation in rural areas to improve the design of subsequent digital literacy interventions. In future analyses, it will be important to include measures related to implementation outcomes beyond those used in this study to assess the impact of a digital literacy intervention more precisely on improvements in digital literacy. The experience of this pilot study in two different regions in Chile has implications for policy and research both in Chile and for the Latin American region. Future projects and studies will contribute to the evidence base about the feasibility and impact of similar digital literacy interventions, an area of increasing importance due to the rising prevalence of the digital food environment worldwide. In conclusion, greater digital literacy amongst food systems actors will help strengthen local food systems for concomitant crises and climate change in an increasingly digitalized world.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by the Ethics Committee on Human Subjects Research of the Faculty of Medicine of the University of Chile. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants’ legal guardians/next of kin because this study was conducted entirely through virtual means. Therefore, permission was granted to obtain only verbal informed consent.

Author contributions

RK, SB, and PA-S were involved with conducting the study that is the base of this manuscript. RK led the analyses and drafted the manuscript. SB provided the critical contributions to the text, including suggestions for additional analyses, and interpretation of the results. PA-S led the digital literacy intervention and contributed primarily to this part of the methods section of text. All authors reviewed and approved the final manuscript.

Funding

This work was funded through the Vice-Rector for Research and Development (VID) of the University of Chile, project code: ENL07/21.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Alessa, T., Abdi, S., Hawley, M.S., and Witte, L.De. (2018). Mobile apps to support the self-management of hypertension: systematic review of effectiveness, usability, and user satisfaction. JMIR Mhealth Uhealth 6,:e10723. doi: 10.2196/10723

PubMed Abstract | CrossRef Full Text | Google Scholar

Bejarano, G. (2022). Digital literacy, health inequities, and the COVID-19 pandemic. Am. J. Public Health 112, 588–589. doi: 10.2105/AJPH.2021.306661

PubMed Abstract | CrossRef Full Text | Google Scholar

Benny, M. E., Kabakian-Khasholian, T., El-Jardali, F., and Bardus, M. (2021). Application of the eHealth literacy model in digital health interventions: scoping review. J. Med. Internet Res. 23:e23473. doi: 10.2196/23473

CrossRef Full Text | Google Scholar

Börner, S., Kraftl, P., and Giatti, L. L. (2023). More than participatory? From ‘compensatory’ towards ‘expressive’ remote practices using digital technologies. Qual. Res. 14687941231165882:146879412311658. doi: 10.1177/14687941231165882

CrossRef Full Text | Google Scholar

Boza, S., (2021). Feeding cities during COVID-19 lockdowns: responses from China and Latin America., in: COVID-19 and cities, The Urban Book Series. Springer, Cham.

Google Scholar

Boza, S., Cortés, M., Prieto, C., and Muñoz, T. (2018). Caracterización y actitudes de los horticultores de la Región Metropolitana de Santiago, Chile. Idesia 36, 99–107. doi: 10.4067/S0718-34292018005002802

CrossRef Full Text | Google Scholar

Boza, S., Cortés, M., Prieto, C., and Muñoz, T. (2019). Vegetable growing in Central Chile: characterization and attitudes of small farmers. Chil. J. Agricul. Anim. Sci. 35, 57–67. doi: 10.4067/S0719-38902019005000201

CrossRef Full Text | Google Scholar

Boza, S., and Kanter, R., (2021). Ferias libres y delivery: ¿una combinación realista?. El Mostrador. Available at: https://www.elmostrador.cl/noticias/opinion/2021/03/26/ferias-libres-y-delivery-una-combinacion-realista/ (Accessed March 26, 2021).

Google Scholar

Boza, S., Muñoz, J., Núñez, A., and Díaz-Lanchas, J. (2020). Dinámica De Las Exportaciones Frutícolas Chilenas Desde Una Perspectiva Regional (2008–2018). Chil. J. Agricul. Anim. Sci. 36, 26–34. doi: 10.4067/S0719-38902020005000103

CrossRef Full Text | Google Scholar

Campanozzi, L. L., Gibelli, F., Bailo, P., Nittari, G., Sirignano, A., and Ricci, G. (2023). The role of digital literacy in achieving health equity in the third millennium society: a literature review. Front. Public Health 11:9323. doi: 10.3389/fpubh.2023.1109323

CrossRef Full Text | Google Scholar

Cao, W., Milks, M. W., Liu, X., Gregory, M. E., Addison, D., Zhang, P., et al. (2022). mHealth interventions for self-management of hypertension: framework and systematic review on engagement, interactivity, and tailoring. JMIR Mhealth Uhealth 10:e29415. doi: 10.2196/29415

PubMed Abstract | CrossRef Full Text | Google Scholar

FAO, (2020). Using the food insecurity experience scale (FIES) to monitor the impact of COVID-19. FAO, Rome.

Google Scholar

FAO, IFAD, UNICEF, WFP, and WHO, (2022). The state of food security and nutrition in the world 2022. Repurposing food and agricultural policies to make healthy diets more affordable, The State of the World, FAO. Rome.

Google Scholar

Faxon, H. O. (2023). Small farmers, big tech: agrarian commerce and knowledge on Myanmar Facebook. Agricul. Hum. Val. 40, 897–911. doi: 10.1007/s10460-023-10446-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Food Systems Dialogues, (2019). Available at: https://foodsystemsdialogues.org/ (Accessed June 16, 2019).

Google Scholar

Gálvez, R., and Canales, I. (2023). Gobierno decreta estado de catástrofe desde O’Higgins al Biobío por sistema frontal: personas aisladas y evacuadas suman 64 mil La Tercera.

Google Scholar

Georgsson, M., and Staggers, N. (2016). Quantifying usability: an evaluation of a diabetes mHealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics. J. Am. Med. Inform. Assoc. 23, 5–11. doi: 10.1093/jamia/ocv099

PubMed Abstract | CrossRef Full Text | Google Scholar

Granheim, S. (2019). The digital food environment. UNSCN Nutr 44, 115–121.

Google Scholar

Gutiérrez-Ángel, N., Sánchez-García, J.-N., Mercader-Rubio, I., García-Martín, J., and Brito-Costa, S. (2022). Digital literacy in the university setting: a literature review of empirical studies between 2010 and 2021. Front. Psychol. 13:6800. doi: 10.3389/fpsyg.2022.896800

PubMed Abstract | CrossRef Full Text | Google Scholar

Hargittai, E., and Dobransky, K. (2017). Old dogs, new clicks: digital inequality in skills and uses among older adults. Can. J. Commun. 42, 195–212. doi: 10.22230/cjc.2017v42n2a3176

CrossRef Full Text | Google Scholar

Ishaq Bhatti, M., Awan, H. M., and Razaq, Z. (2014). The key performance indicators (KPIs) and their impact on overall organizational performance. Qual. Quant. 48, 3127–3143. doi: 10.1007/s11135-013-9945-y

CrossRef Full Text | Google Scholar

JUNAEB -Ministerio de Educación (2023). Mapa Nutritional Prinicipales Resultados Informe Ejecutivo

Google Scholar

Kanter, R., Alvey, J., and Fuentes, D. (2014). A novel mobile phone application to assess nutrition environment measures in low-and middle-income countries. Food Nutr. Bull. 35, 296–300. doi: 10.1177/156482651403500302

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanter, R., and Boza, S. (2020). Strengthening local food Systems in Times of concomitant global crises: reflections from Chile. Am. J. Public Health 110, 971–973. doi: 10.2105/AJPH.2020.305711

PubMed Abstract | CrossRef Full Text | Google Scholar

Karpati, A., (2011). Policy brief digital literacy in education.

Google Scholar

Klerkx, L., Jakku, E., and Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: new contributions and a future research agenda. NJAS 90-91:100315, 1–16. doi: 10.1016/j.njas.2019.100315

CrossRef Full Text | Google Scholar

Lathen, L., and Laestadius, L. (2021). Reflections on online focus group research with low socio-economic status African American adults during COVID-19. Int J Qual Methods 20:160940692110217. doi: 10.1177/16094069211021713

CrossRef Full Text | Google Scholar

Lee, S.-H., (2014). Digital literacy education for the development of digital literacy. International Journal of Digital Literacy and Digital Competence (IJDLDC). Available at: www.igi-global.com/article/digital-literacy-education-for-the-development-of-digital-literacy/119474 (Accessed June 13, 2020).

Google Scholar

Letelier Loyola, E. (2019). Acceso a la justicia y brecha digital en los adultos mayores. Informe sintético sobre la cuestión en Chile TraHs.

Google Scholar

Mackenzie, S. G., and Davies, A. R. (2019). SHARE IT: co-designing a sustainability impact assessment framework for urban food sharing initiatives. Environ. Impact Assess. Rev. 79:106300. doi: 10.1016/j.eiar.2019.106300

PubMed Abstract | CrossRef Full Text | Google Scholar

Manji, K., Hanefeld, J., Vearey, J., Walls, H., and de Gruchy, T. (2021). Using WhatsApp messenger for health systems research: a scoping review of available literature. Health Policy Plan. 36, 774–789. doi: 10.1093/heapol/czab024

PubMed Abstract | CrossRef Full Text | Google Scholar

MINAGRI, (2023) Emergencia agrícola por déficit hídrico. Ministerio de Agricultura. Available at: https://minagri.gob.cl/emergencia-agricola-por-deficit-hidrico/ (Accessed August 23, 2023).

Google Scholar

Ministerio de Educación y Cultura and Centro MEC, (2010). Uruguay Plan Nacional de Alfabetización Digital.

Google Scholar

Municipalidad Rancagua, (2018). PLAN DE DESARROLLO COMUNAL RANCAGUA 2019–2022. Municipalidad Rancagua, Rancagua.

Google Scholar

NITDA, (2019). National Digital Economy Policy and strategy (2020–2030).

Google Scholar

NITDA, (2023). National Digital Literacy Framework.

Google Scholar

Nogueira, V. B., Teixeira, D. G., de Lima, I. A. C. N., Moreira, M. V. C., de Oliveira, B. S. C., Pedrosa, I. M. B., et al. (2022). Towards an inclusive digital literacy: an experimental intervention study in a rural area of Brazil. Educ Inf Technol (Dordr) 27, 2807–2834. doi: 10.1007/s10639-021-10711-z

PubMed Abstract | CrossRef Full Text | Google Scholar

NU. CEPAL, (2020). Universalizar el acceso a las tecnologías digitales para enfrentar los efectos del COVID-19, Informe Especial COVID-19 No. 7. Naciones Unidas.

Google Scholar

ODEPA (2023). Región del Libertador Bernardo O’Higgins. Oficina de Estudios y Políticas Agrarias (Odepa) del Ministerio de Agricultura, Gobierno de Chile, Chile.

Google Scholar

OEA and Twitter, (2021). Alfabetización y Seguridad Digital: La Importancia de Mantenerse Seguro e Informado.

Google Scholar

Oh, S. S., Kim, K.-A., Kim, M., Oh, J., Chu, S. H., and Choi, J. (2021). Measurement of digital literacy among older adults: systematic review. J. Med. Internet Res. 23:e26145. doi: 10.2196/26145

CrossRef Full Text | Google Scholar

O’Meara, L., Turner, C., Coitinho, D. C., and Oenema, S. (2022). Consumer experiences of food environments during the Covid-19 pandemic: global insights from a rapid online survey of individuals from 119 countries. Glob. Food Sec. 32:100594. doi: 10.1016/j.gfs.2021.100594

PubMed Abstract | CrossRef Full Text | Google Scholar

Reddy, P., Chaudhary, K., and Hussein, S. (2023). A digital literacy model to narrow the digital literacy skills gap. Heliyon 9:e14878. doi: 10.1016/j.heliyon.2023.e14878

PubMed Abstract | CrossRef Full Text | Google Scholar

Reddy, P., Sharma, B., and Chaudhary, K. (2020). Digital literacy: a review of literature. IJT 11, 65–94. doi: 10.4018/IJT.20200701.oa1

CrossRef Full Text | Google Scholar

Rengifo, A., Boza, S., and Pérez, M. D. C. (2022). Diagnóstico para la inserción de agricultoras agroecológicas como proveedoras del canal HORECA. Rivar 9, 191–210. doi: 10.35588/rivar.v9i26.5579

CrossRef Full Text | Google Scholar

Rubinstein, A., Miranda, J. J., Beratarrechea, A., Diez-Canseco, F., Kanter, R., Gutierrez, L., et al. (2016). Effectiveness of an mHealth intervention to improve the cardiometabolic profile of people with prehypertension in low-resource urban settings in Latin America: a randomised controlled trial. Lancet Diab. Endocrinol. 4, 52–63. doi: 10.1016/S2213-8587(15)00381-2

CrossRef Full Text | Google Scholar

Samoggia, A., Monticone, F., and Bertazzoli, A. (2021). Innovative digital Technologies for Purchasing and Consumption in urban and Regional agro-food systems: a systematic review. Foods 10:208. doi: 10.3390/foods10020208

PubMed Abstract | CrossRef Full Text | Google Scholar

ShareCity, (2023). ShareCity. Available at: https://sharecity.ie/ (Accessed August 9, 2023).

Google Scholar

StataCorp, (2021). Stata statistical software: Release 17. College Station, TX: StataCorp LLC.

Google Scholar

Steckler, A., and Linnan, L. (2002). Process evaluation for public health interventions and research, (1st Edn.). Jossey-Bass, San Francisco, CA, USA.

Google Scholar

Sunkel, G., and Ullmann, H. (2019). Las personas mayores de América Latina en la era digital: superación de la brecha digital. Revista de la CEPAL 127, 243–268. https://data.worldbank.org/indicator/IT.CEL.SETS.P2?locations=CL-ZJ

Google Scholar

Swinburn, B. A., Kraak, V. I., Allender, S., Atkins, V. J., Baker, P. I., Bogard, J. R., et al. (2019). The global Syndemic of obesity, undernutrition, and climate change: the lancet commission report. Lancet 393, 791–846. doi: 10.1016/S0140-6736(18)32822-8

CrossRef Full Text | Google Scholar

Todorovic, V., Maslaric, M., Bojic, S., Jokic, M., Mircetic, D., and Nikolicic, S. (2018). Solutions for more sustainable distribution in the short food supply chains. Sustainability 10:3481. doi: 10.3390/su10103481

CrossRef Full Text | Google Scholar

Tran, B., Rafinejad-Farahani, B., Moodie, S., O’Hagan, R., and Glista, D. (2021). A scoping review of virtual focus group methods used in rehabilitation sciences. Int J Qual Methods 20:160940692110422. doi: 10.1177/16094069211042227

CrossRef Full Text | Google Scholar

Trendov, N.M., Varas, S., and Zeng, M., (2019). Digital technologies in agriculture and rural areas – Status report. FAO, Rome.

Google Scholar

World Bank, (2022). Mobile cellular subscriptions (per 100 people) – Chile, Latin America & Caribbean. Available at: https://data.worldbank.org/indicator/IT.CEL.SETS.P2?locations=CL-ZJ (Accessed May 12, 2023).

Google Scholar

World Bank, (2017). ICT in agriculture (updated edition): Connecting smallholders to knowledge, networks, and institutions. World Bank, Washington, DC.

Google Scholar

Yeshua-Katz, D. (2021). The role of communication affordances in post-traumatic stress disorder Facebook and WhatsApp support groups. Int. J. Environ. Res. Public Health 18:4576. doi: 10.3390/ijerph18094576

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhan, Y., and Chen, K. Z. (2021). Building resilient food system amidst COVID-19: responses and lessons from China. Agric. Syst. 190:103102. doi: 10.1016/j.agsy.2021.103102

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: food systems, digital literacy, concomitant crises, Chile, COVID-19, climate change

Citation: Kanter R, Boza S and Acuña-Salazar P (2023) Pilot study of a digital literacy-based intervention to confront concomitant crises amongst key food system actors in Chile. Front. Sustain. Food Syst. 7:1244759. doi: 10.3389/fsufs.2023.1244759

Received: 23 June 2023; Accepted: 26 September 2023;
Published: 13 November 2023.

Edited by:

Stefan Burkart, Alliance of Bioversity International and CIAT, Colombia

Reviewed by:

Pritika Reddy, National University, Fiji
Khresna Bayu Sangka, Sebelas Maret University, Indonesia
Alev Üstündağ, University of Health Sciences, Türkiye

Copyright © 2023 Kanter, Boza and Acuña-Salazar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rebecca Kanter, Rebecca.Kanter@uchile.cl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.