Interpretive front-of-pack nutrition labels. Comparing competing recommendations.

Many stakeholders support introducing an interpretive front-of-pack (FOP) nutrition label, but disagree over the form it should take. In late 2012, an expert working group established by the New Zealand government recommended the adoption of an untested summary rating system: a Star label. This study used a best-worst scaling choice experiment to estimate how labels featuring the new Star rating, the Multiple Traffic Light (MTL), Daily Intake Guide (DIG), and a no-FOP control affected consumers' choice behaviours and product perceptions. Nutrient-content and health claims were included in the design. We also assessed whether respondents who used more or less information during the choice tasks differed in their selection patterns. Overall, while respondents made broadly similar choices with respect to the MTL and Star labels, the MTL format had a significantly greater impact on depressing preference as a food's nutritional profile became less healthy. Health claims increased rankings of less nutritious options, though this effect was less pronounced when the products featured an MTL. Further, respondents were best able to differentiate products' healthiness with MTL labels. The proposed summary Stars system had less effect on choice patterns than an MTL label and our findings highlight the need for policy makers to ensure that decisions to introduce FOP labels are underpinned by robust research evidence. These results suggest that the proposed summary Stars system will have less effect on shifting food choice patterns than interpretive FOP nutrition label featuring traffic light ratings.

The effects of free prescriptions on community pharmacy selection: A discrete choice experiment.

BACKGROUND: Little is known about preferences for community pharmacies, particularly the influence of prescription co-payments, and for New Zealand's priority populations, Maori and Pacific Peoples. Improving understanding of community pharmacy preferences will enable tailoring services to meet community needs. OBJECTIVES: This study aims to investigate New Zealanders' preferences for community pharmacies when collecting prescriptions. Additionally, variations in preferences for community pharmacy attributes between different latent and demographic groups were examined. METHODS: Focus group discussions with various community groups were thematically analyzed to develop six attributes: location, wait time, customer service, prescription co-payments, parking availability, and nearby businesses. Participants were asked to complete an online survey involving 12 choice tasks, where they had to choose their preferred option of 3 unlabeled pharmacies along with demographic questions. A mixed multinomial logit model and latent classes analysis were used to assess and compare the participant preferences. RESULTS: The sample of 553 participants, representative of the New Zealand population, resulted in 19,908 observations for analysis. The most attractive pharmacy attribute was its proximity, being within a 10-min travel distance from home or work. The importance of prescription co-payments is evident, with free prescriptions being the second most attractive attribute level and $15 NZD prescription co-payments being the least appealing. Different classes placed importance on different attributes, the largest of which prioritized prescription co-payments. Including demographic characteristics did not improve model accuracy nor predict class membership. CONCLUSIONS: Under current policy, the most effective way for pharmacies to attract business is by offering free prescriptions. However, the trend of adopting lower-cost models may reduce the quality of care they deliver. Policy decision-makers must decide if they are comfortable with this potential impact.

The Implications of COVID-19 on Chinese Consumer Preferences for Lamb Meat.

This study assessed if Chinese consumer attitudes towards a range of lamb attributes (such as origin, food safety, appearance, taste, price), and their opinions of New Zealand lamb (9- and 7-point Likert scales, respectively), had changed since the outbreak COVID-19. The same survey was carried out in Shanghai and Beijing pre (December 2018) and post COVID-19 (November 2020), ~9 months after China's initial outbreak, with 500 and 523 consumers, respectively. From December 2018 to November 2020, there was an increase in the proportion of Chinese consumers purchasing red meat online or from a butcher, and cooking their lamb well-done. In contrast, there were minimal differences in Chinese consumer ratings between December 2018 and November 2020 for different lamb attributes and opinions of New Zealand lamb. Cluster analysis revealed that many consumers (140 in December 2018/376 in November 2020) used only a small portion of the high end of the scale when rating lamb attributes, resulting in little differences between the attributes. This study suggests COVID-19 has enhanced some food safety related behaviors but had little effect on Chinese opinions and preferences for New Zealand lamb attributes. It also highlights that survey design should be carefully considered when collecting responses from Chinese consumers.

The Use of Facebook Advertising for Communicating Public Health Messages: A Campaign Against Drinking During Pregnancy in New Zealand.

BACKGROUND: Social media is gaining recognition as a platform for delivering public health messages. One area attracting attention from public health researchers and professionals is Facebook's advertising channel. This channel is reported to have a broad reach and generate high user engagement with the disseminated campaign materials. However, to date, no study has examined the communication process via this channel which this study aimed to address. OBJECTIVE: The specific objectives of the study were to (1) examine user engagement for a public health campaign based on the metadata provided by Facebook, (2) analyze comments generated by the campaign materials using text mining, and (3) investigate the relationship between the themes identified in the comments and the message and the sentiments prevalent in the themes that exhibited significant relationships. METHODS: This study examined a New Zealand public health pilot campaign called "Don't Know? Don't Drink," which warned against drinking alcohol during pregnancy. The campaign conveyed the warning through a video and three banner ads that were delivered as news feeds to women aged 18-30 years. Thematic analysis using text mining performed on the comments (n=819) identified four themes. Logistic regression was used to identify meaning-making themes that exhibited association with the message. RESULTS: The users' engagement was impressive with the video receiving 203,754 views. The combined likes and shares for the promotional materials (video and banner ads) amounted to 6125 and 300, respectively. The logistic regression analysis showed two meaning-making themes, namely, risk of pregnancy (P=.003) and alcohol and culture (P<.001) exhibited association with the message. The sentiment analysis carried out on the two themes revealed there were more negative than positive comments (47% vs 28%). CONCLUSIONS: The user engagement observed in this study was consistent with previous research. The numbers reported for views, likes, and shares may be seen as unique interactions over the fixed period of the campaign; however, survey research would be required to find out the true evaluative worth of these metadata. A close examination of the comments, employing text mining, revealed that the message was not accepted by a majority of the target segment. Self-identity and conformity theories may help to explain these observed reactions, albeit warrant further investigations. Although the comments were predominantly negative, they provide opportunities to engage back with the women. The one-way communication format followed in this campaign did not support any two-way engagement. Further investigation is warranted to establish whether using a two-way communication format would have improved the acceptability of such public health messages delivered via social media. The findings of this study caution using a one-way communication format to convey public health messages via Facebook's advertising channel.

Potential damage of GM crops to the country image of the producing country.

Frequently heard within New Zealand are arguments that release of genetically modified organisms (GMOs) into the environment will harm the "clean green" image of the country, and therefore do irreparable harm to export markets for food products and also to the New Zealand tourism industry. But where is the evidence? To investigate the likelihood of harmful effects on New Zealand's clean green image in relation to food exports, we have previously used face-to-face interviews with gatekeepers in the food distribution channel in five countries in Europe, in China, and in India. To investigate potential impacts on the New Zealand tourism sector, we have surveyed first-time visitors to New Zealand at Auckland International Airport soon after arrival. We conclude that it is highly unlikely that introduction of GM plants into New Zealand would have any long-term deleterious effect on perceptions in overseas markets of food products sourced from New Zealand. Furthermore it is highly unlikely that New Zealand's image as a tourist destination would suffer if GM plants were introduced.