Consumers' intention to use health recommendation systems to receive personalized nutrition advice

Background: Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We examine consumers' intention to use such a health recommendation system as a function of options related to the underlying system (e.g. the type of company that generates the advice) as well as intermediaries (e.g. general practitioner) that might assist in using the system. We further explore if the effect of both the system and intermediaries on intention to use a health recommendation system are mediated by consumers' perceived effort, privacy risk, usefulness and enjoyment. Methods. 204 respondents from a consumer panel in the Netherlands participated. The data were collected by means of a questionnaire. Each respondent evaluated three hypothetical health recommendation systems on validated multi-scale measures of effort, privacy risk, usefulness, enjoyment and intention to use the system. To test the hypothesized relationships we used regression analyses. Results: We find evidence that the options related to the underlying system as well as the intermediaries involved influence consumers' intention to use such a health recommendation system and that these effects are mediated by perceptions of effort, privacy risk, usefulness and enjoyment. Also, we find that consumers value usefulness of a system more and enjoyment less when a general practitioner advices them to use a health recommendation system than if they use it out of their own curiosity. Conclusions: We developed and tested a model of consumers' intention to use a health recommendation system. We found that intermediaries play an important role in how consumers evaluate such a system over and above options of the underlying system that is used to generate the recommendation. Also, health-related information services seem to rely on endorsement by the medical sector. This has considerable implications for the distribution as well as the communication channels of health recommendation systems which may be quite difficult to put into practice outside traditional health service channels

Willingness to pay for personalised nutrition across Europe

<p>Background: Personalised nutrition (PN) may promote public health. PN involves dietary advice based on individual characteristics of end users and can for example be based on lifestyle, blood and/or DNA profiling. Currently, PN is not refunded by most health insurance or health care plans. Improved public health is contingent on individual consumers being willing to pay for the service. Methods: A survey with a representative sample from the general population was conducted in eight European countries (N = 8233). Participants reported their willingness to pay (WTP) for PN based on lifestyle information, lifestyle and blood information, and lifestyle and DNA information. WTP was elicited by contingent valuation with the price of a standard, non-PN advice used as reference. Results: About 30% of participants reported being willing to pay more for PN than for non-PN advice. They were on average prepared to pay about 150% of the reference price of a standard, non-personalised advice, with some differences related to socio-demographic factors. Conclusion: There is a potential market for PN compared to non-PN advice, particularly among men on higher incomes. These findings raise questions to what extent personalized nutrition can be left to the market or should be incorporated into public health programs.</p

How Technology Features Influence Public Response to New Agrifood Technologies

New agrifood technologies are often difficult to grasp for the public, which may lead to resistance or even rejection. Insight into which technology features determine public acceptability of the technology could offer guidelines for responsible technology development. This paper systematically assesses the relative importance of specific technology features for consumer response in the agrifood domain in two consecutive studies. Prominent technology features were selected from expert judgment and literature. The effects of these features on consumer evaluation were tested in a consumer study (n = 745). Fictitious technologies were used to avoid any uncontrollable contextual influences that existing new technologies may evoke. Results show that technologies that were seen as more natural and newer were perceived less risky, more beneficial, and were evaluated more positively. Technologies applied to food were judged to be more beneficial, but also more risky than those applied to non-food. Technologies used in the production process were perceived to be less risky and evaluated more positively than those used in the product. Technologies owned by the market leader were perceived to be more beneficial, and evaluated more positively than those that were freely available. In a next study (n = 440), effects of the technology features on consumer response were tested for existing new agrifood technologies. This study replicated the results for perceived naturalness, perceived newness, and place in the production process where the technology is applied. However, in contrast to the first study, we did not find an effect of application area (food versus non-food) and technology ownership

How Technology Features Influence Public Response to New Agrifood Technologies

<p>New agrifood technologies are often difficult to grasp for the public, which may lead to resistance or even rejection. Insight into which technology features determine public acceptability of the technology could offer guidelines for responsible technology development. This paper systematically assesses the relative importance of specific technology features for consumer response in the agrifood domain in two consecutive studies. Prominent technology features were selected from expert judgment and literature. The effects of these features on consumer evaluation were tested in a consumer study (n = 745). Fictitious technologies were used to avoid any uncontrollable contextual influences that existing new technologies may evoke. Results show that technologies that were seen as more natural and newer were perceived less risky, more beneficial, and were evaluated more positively. Technologies applied to food were judged to be more beneficial, but also more risky than those applied to non-food. Technologies used in the production process were perceived to be less risky and evaluated more positively than those used in the product. Technologies owned by the market leader were perceived to be more beneficial, and evaluated more positively than those that were freely available. In a next study (n = 440), effects of the technology features on consumer response were tested for existing new agrifood technologies. This study replicated the results for perceived naturalness, perceived newness, and place in the production process where the technology is applied. However, in contrast to the first study, we did not find an effect of application area (food versus non-food) and technology ownership.</p

Digital health interventions to improve eating behaviour of people with a lower socioeconomic position:a scoping review of behaviour change techniques

Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3–15). BCTs from the cluster ‘Goals and planning’ were applied most often (25x), followed by the clusters ‘Shaping knowledge’ (18x) and ‘Natural consequences’ (18x). Other frequently applied BCT clusters were ‘Feedback and monitoring’ (15x) and ‘Comparison of behaviour’ (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40795-022-00635-3

Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques

Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3-15). BCTs from the cluster 'Goals and planning' were applied most often (25x), followed by the clusters 'Shaping knowledge' (18x) and 'Natural consequences' (18x). Other frequently applied BCT clusters were 'Feedback and monitoring' (15x) and 'Comparison of behaviour' (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly