The impact of an e-newsletter or animated video to disseminate outdoor free-play information in relation to COVID-19 guidelines in New South Wales early childhood education and care services: a randomised controlled trial.

BACKGROUND: State-based Guidelines were issued for Early Childhood Education and Care (ECEC) services (caring for children 0-6 years) recommending greater time outdoors and inclusion of indoor-outdoor programs to facilitate social distancing to reduce spread of COVID-19. The aim of this 3-arm randomised controlled trial (RCT) was to examine the impact of different dissemination strategies on increasing ECEC service intentions to adopt recommendations from the Guidelines. METHODS: This was a post-intervention only RCT. A sample of eligible ECEC services in New South Wales (n = 1026) were randomly allocated to one of three groups; (i) e-newsletter resource; (ii) animated video resource; or (iii) control (standard email). The intervention was designed to address key determinants of guideline adoption including awareness and knowledge. Following delivery of the intervention in September 2021, services were invited to participate in an online or telephone survey from October-December 2021. The primary trial outcome was the proportion of services intending to adopt the Guidelines, defined as intention to; (i) offer an indoor-outdoor program for the full day; or (ii) offer more outdoor play time. Secondary outcomes included awareness, reach, knowledge and implementation of the Guidelines. Barriers to Guideline implementation, cost of the dissemination strategies and analytic data to measure fidelity of intervention delivery were also captured. RESULTS: Of the 154 services that provided post-intervention data, 58 received the e-newsletter (37.7%), 50 received the animated video (32.5%), and 46 received the control (29.9%). Services who received the animated video had nearly five times the odds (OR: 4.91 [1.03, 23.34] p = 0.046) than those in the control group, to report having intentions to adopt the Guidelines. There were no statistically significant differences in awareness or knowledge of the Guidelines between either intervention or control services. Development costs were greatest for the animated video. The extent to which the dissemination strategy was viewed in full, were similar for both the e-newsletter and animated video. CONCLUSION: This study found potential for the inclusion of interactive strategies to disseminate policy and guideline information within the ECEC setting, in the context of the need for rapid communication. Further research should explore the added benefits of embedding such strategies within a multi-strategy intervention. TRIAL REGISTRATION: Retrospectively registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) on the 23/02/2023 (ACTRN 12,623,000,198,628).

Describing the evidence-base for research engagement by health care providers and health care organisations: a scoping review.

BACKGROUND: Having a research-engaged health and medical workforce is associated with improvements in clinical outcomes for patients. As such, there has been significant government investment internationally to support health care organisations and services to increase staff engagement with research. OBJECTIVES: This scoping review sought to provide an overview of the literature describing strategies employed to increase research engagement by health care providers and organisations, and to undertake a qualitative analysis to generate a list of research engagement strategies. METHODS: A scoping review using systematic search strategies was undertaken to locate peer-review publications and grey literature related to research engagement by health care providers and organisations. Research engagement was defined as a 'deliberate set of intellectual and practical activities undertaken by health care staff and organisations to conduct research'. A database search of electronic records was performed with no limit on publication date. Publications were included regardless of study type (excluding systematic reviews) and categorised as either databased (presenting data or new analysis of existing data) and non-databased (no new data or analyses). Databased publications were further classified according to study type, study design and setting. A qualitative synthesis using a Framework Approach was undertaken with all studies that described a strategy to improve research engagement. RESULTS: A total of 152 publications were included in this study with 54% categorised as non-databased. Of the databased articles, the majority (72%) were descriptive studies describing prevalence of correlates of research engagement, 17 (25%) described intervention studies where only two were controlled studies. The following research engagement strategies were identified: i) dual skilled team/staff, ii) resources or physical infrastructure, iii) incentives, iv) leadership support of research, v) education/training, vi) networks, vii) forming partnerships or collaborations and viii) overall leadership structure of entity. CONCLUSIONS: The literature on research engagement is primarily opinion-based and descriptive in nature. To provide the evidence needed to inform strategies, this needs to progress beyond descriptive to more rigorous well-designed intervention research.

A randomised controlled trial of an implementation strategy delivered at scale to increase outdoor free play opportunities in early childhood education and care (ECEC) services: a study protocol for the get outside get active (GOGA) trial.

BACKGROUND: Increased outdoor play time in young children is associated with many health and developmental benefits. This study aims to evaluate the impact of a multi-strategy implementation strategy delivered at scale, to increase opportunities for outdoor free play in Early Childhood Education and Care (ECEC) services. METHODS: The study will employ a parallel-group randomised controlled trial design. One hundred ECEC services in the Hunter New England region of New South Wales, Australia, will be recruited and randomised to receive either a 6-month implementation strategy or usual care. The trial will seek to increase the implementation of an indoor-outdoor routine (whereby children are allowed to move freely between indoor and outdoor spaces during periods of free play), to increase their opportunity to engage in outdoor free play. Development of the strategy was informed by the Behaviour Change Wheel to address determinants identified in the Theoretical Domains Framework. ECEC services allocated to the control group will receive 'usual' implementation support delivered as part of state-wide obesity prevention programs. The primary trial outcome is the mean minutes/day (calculated across 5 consecutive days) of outdoor free play opportunities provided in ECEC services measured at baseline, 6-months (primary end point) and 18-months post baseline. Analyses will be performed using an intention-to-treat approach with ECEC services as the unit of analysis, using a linear mixed effects regression model to assess between-group differences. A sensitivity analysis will be undertaken, adjusting for service characteristics that appear imbalanced between groups at baseline, and a subgroup analysis examining potential intervention effect among services with the lowest baseline outdoor free play opportunities. DISCUSSION: Identifying effective strategies to support the implementation of indoor-outdoor routines in the ECEC setting at scale is essential to improve child population health. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ( ACTRN12621000987864 ). Prospectively registered 27th July 2021, ANZCTR - Registration.

Interventions to Improve Child Physical Activity in the Early Childhood Education and Care Setting: An Umbrella Review.

Early childhood education and care (ECEC) services are a key setting to support improvements in the physical activity of young children. This umbrella review gathered and synthesised systematic review evidence of the effectiveness of interventions in the ECEC setting on the physical activity levels of children aged 0-6. We also mapped the current evidence to the existing ECEC sector-specific physical activity practice recommendations. Five electronic databases were searched to identify systematic reviews that evaluated the impact of any ECEC-based interventions on the physical activity levels (e.g., moderate-to-vigorous physical activity, total physical activity) of children aged 0-6. One reviewer extracted data on intervention effectiveness and quality of the reviews, checked by a second reviewer. Ten reviews were included. Overall, the majority of the reviews found interventions delivered in ECEC improved child physical activity. Across reviews, the impact of six intervention strategies were identified, mapped to four (of eight) broad recommendations (i.e., providing opportunity, offering educator training, educators promoting the benefits of physical activity, creating a physical activity-promoting environment). The impact of the majority of recommendations, however, did not have systematic review evidence. Further investigation of the effectiveness of ECEC-based physical activity strategies is required to demonstrate support for the existing recommended practices.

Exploring the effect of a school-based cluster-randomised controlled trial to increase the scheduling of physical activity for primary school students on teachers' physical activity.

BACKGROUND: To determine if a school-based physical activity (PA) intervention that supported primary school teachers to schedule PA during school hours impacted their own PA. METHODS: A 2x2 factorial group cluster-randomised controlled trial was undertaken in 12 Australian primary schools. The nine-month intervention supported classroom teachers to increase scheduled weekly PA for their class via physical education, sport, Energisers and integrated lessons. Teachers' PA (n = 76) was measured at follow-up only using accelerometers (Actigraph GT3X or GT9X). Linear mixed models were used to estimate between-group differences in teachers' mean minutes of sedentary, light, moderate-to-vigorous-intensity physical activity (MVPA) across the school day and during class-time. RESULTS: At follow-up, there were non-significant between-group differences favouring intervention teachers, compared to controls, for light PA (4.9 minutes, 95% CI: -6.3, 16.0; P = .33) and MVPA (0.4 minutes, 95% CI: -10.9, 11.6; P = .94) across the school day; although not favouring the intervention for sedentary behaviour (5.1 minutes, 95% CI: -11.4, 21.7; P = .48). Similar patterns were seen during class-time for light PA and sedentary time, but not for MVPA. CONCLUSIONS: Supporting teachers with the scheduling of PA for their class may impact on their own PA. Fully powered studies are needed to better understand the impact of the intervention on teachers' PA. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12616001228471 (http://www.anzctr.org.au/).

A cluster randomised controlled trial of a secondary school intervention to reduce intake of sugar-sweetened beverages: Mid-intervention impact of switchURsip environmental strategies.

ISSUE ADDRESSED: Secondary schools provide an opportune setting for interventions addressing excessive sugar-sweetened beverage (SSB) intake in adolescence. This trial aimed to assess the impact of school environmental strategies, delivered as part of a broader intervention, among Year 7-9 students' SSB consumption. METHODS: Between March and July 2018, we conducted a cluster randomised controlled trial with 862 students attending six secondary schools (3 intervention and 3 control) in New South Wales. The intervention targeted SSB availability, placement, promotion and pricing, and increased availability and promotion of water. Control schools followed their usual programmes. Primary outcomes included mean daily SSB consumption (millilitres) and mean daily percentage energy from SSB (kilojoules). Sub-group analysis explored primary outcomes for gender, school year level and frequency of canteen use. RESULTS: Of the 2265 eligible students, 1092 (50.2%) provided active parental consent and 940 (86.0%) participated in baseline data collection. No significant differences were observed between groups at follow-up for mean daily SSBs consumed (-10.17 mL, CI: -24.78; 45.12, P = 0.57) or mean daily percentage energy from SSBs (-0.20%, CI: -0.87; 0.47, P = .56). Significant effects were observed among girls in intervention compared to girls in control schools for mean daily SSB consumption (-52.02 mL, CI 99.8; 94.14, P = .03) and mean daily percentage of energy from SSBs (-0.90%, CI: -1.82; 0.02, P = .05). CONCLUSIONS: At 3-month mid-intervention evaluation, the intervention failed to impact on mean daily consumption and mean percentage energy from SSBs, overall. However, an intervention effect was observed in girls. The limited overall effect is likely due to inadequate intervention dose related to the short duration, limiting opportunities for schools to fully implement the environmental strategies. SO WHAT?: A longer intervention duration with additional implementation support to allow adequate time to embed the strategies within the school is recommended. Implementation support strategies would ensure staff are supported throughout the process.

A trial of a six-month sugar-sweetened beverage intervention in secondary schools from a socio-economically disadvantaged region in Australia.

OBJECTIVE: This study assessed the effectiveness of a school-based intervention in reducing adolescents' sugar-sweetened beverage (SSB) consumption and percentage of energy from SSBs. Secondary outcomes were SSB consumption within school, average daily energy intake, and body mass index z-scores. METHODS: Six secondary schools located in New South Wales, Australia were recruited to participate in a six-month pilot randomised controlled trial (1:1). The intervention included components targeting the school nutrition environment, curricula and community. Outcomes were collected via online surveys, observations, anthropometric measurements and project records. Between-group differences were assessed via linear mixed models. RESULTS: At the six-month intervention endpoint (n=862) there were no statistically significant differences between students in intervention or control schools for mean daily intake of SSBs (8.55mL; CI -26.77, 43.87; p=0.63), percentage daily energy from SSBs (0.12% kJ; CI -0.55, 0.80; p=0.72), or for secondary outcomes. Acceptability of the school-based strategies were high, however intervention fidelity varied across schools. CONCLUSION: While acceptable, improving fidelity of implementation and increasing the duration or intensity of the intervention may be required to reduce SSB intake. Implications for public health: Engaging parents and education stakeholders in the development phase to co-design interventions may prove beneficial in improving intervention fidelity and enhance behavioural outcomes.

Effectiveness of a Multistrategy Behavioral Intervention to Increase the Nutritional Quality of Primary School Students' Web-Based Canteen Lunch Orders (Click & Crunch): Cluster Randomized Controlled Trial.

BACKGROUND: School food outlets represent a key setting for public health nutrition intervention. The recent proliferation of web-based food ordering systems provides a unique opportunity to support healthy purchasing from schools. Embedding evidence-based choice architecture strategies within these routinely used systems provides the opportunity to impact the purchasing decisions of many users simultaneously and warrants investigation. OBJECTIVE: This study aims to assess the effectiveness of a multistrategy behavioral intervention implemented via a web-based school canteen lunch ordering system in reducing the energy, saturated fat, sugar, and sodium content of primary students' web-based lunch orders. METHODS: The study used a parallel-group, cohort, cluster randomized controlled trial design with 2207 students from 17 Australian primary schools. Schools with a web-based canteen lunch ordering system were randomly assigned to receive either a multistrategy behavioral intervention that included choice architecture strategies embedded in the web-based system (n=9 schools) or the standard web-based ordering system only (n=8 control schools). Automatically collected student purchasing data at baseline (term 2, 2018) and 12 months later (term 2, 2019) were used to assess trial outcomes. Primary trial outcomes included the mean energy (kJ), saturated fat (g), sugar (g), and sodium (mg) content of student lunch orders. Secondary outcomes included the proportion of all web-based lunch order items classified as everyday, occasional, and caution (based on the New South Wales Healthy School Canteen Strategy) and canteen revenue. RESULTS: From baseline to follow-up, the intervention lunch orders had significantly lower energy content (-69.4 kJ, 95% CI -119.6 to -19.1; P=.01) and saturated fat content (-0.6 g, 95% CI -0.9 to -0.4; P<.001) than the control lunch orders, but they did not have significantly lower sugar or sodium content. There was also a small significant between-group difference in the percentage of energy from saturated fat (-0.9%, 95% CI -1.4% to -0.5%; P<.001) but not in the percentage of energy from sugar (+1.1%, 95% CI 0.2% to 1.9%; P=.02). Relative to control schools, intervention schools had significantly greater odds of having everyday items purchased (odds ratio [OR] 1.7, 95% CI 1.5-2.0; P<.001), corresponding to a 9.8% increase in everyday items, and lower odds of having occasional items purchased (OR 0.7, 95% CI 0.6-0.8; P<.001), corresponding to a 7.7% decrease in occasional items); however, there was no change in the odds of having caution (least healthy) items purchased (OR 0.8, 95% CI 0.7-1.0; P=.05). Furthermore, there was no change in schools' revenue between groups. CONCLUSIONS: Given the evidence of small statistically significant improvements in the energy and saturated fat content, acceptability, and wide reach, this intervention has the potential to influence dietary choices at a population level, and further research is warranted to determine its impact when implemented at scale. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12618000855224; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375075. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2019-030538.

A Multicomponent mHealth-Based Intervention (SWAP IT) to Decrease the Consumption of Discretionary Foods Packed in School Lunchboxes: Type I Effectiveness-Implementation Hybrid Cluster Randomized Controlled Trial.

BACKGROUND: There is significant opportunity to improve the nutritional quality of foods packed in children's school lunchboxes. Interventions that are effective and scalable targeting the school and home environment are therefore warranted. OBJECTIVE: This study aimed to assess the effectiveness of a multicomponent, mobile health-based intervention, SWAP IT, in reducing the energy contribution of discretionary (ie, less healthy) foods and drinks packed for children to consume at school. METHODS: A type I effectiveness-implementation hybrid cluster randomized controlled trial was conducted in 32 primary schools located across 3 local health districts in New South Wales, Australia, to compare the effects of a 6-month intervention targeting foods packed in children's lunchboxes with those of a usual care control. Primary schools were eligible if they were not participating in other nutrition studies and used the required school communication app. The Behaviour Change Wheel was used to co-design the multicomponent SWAP IT intervention, which consisted of the following: school lunchbox nutrition guidelines, curriculum lessons, information pushed to parents digitally via an existing school communication app, and additional parent resources to address common barriers to packing healthy lunchboxes. The primary outcome, mean energy (kilojoules) content of discretionary lunchbox foods and drinks packed in lunchboxes, was measured via observation using a validated school food checklist at baseline (May 2019) and at 6-month follow-up (October 2019). Additional secondary outcomes included mean lunchbox energy from discretionary foods consumed, mean total lunchbox energy packed and consumed, mean energy content of core lunchbox foods packed and consumed, and percentage of lunchbox energy from discretionary and core foods, all of which were also measured via observation using a validated school food checklist. Measures of school engagement, consumption of discretionary foods outside of school hours, and lunchbox cost were also collected at baseline and at 6-month follow-up. Data were analyzed via hierarchical linear regression models, with controlling for clustering, socioeconomic status, and remoteness. RESULTS: A total of 3022 (3022/7212, 41.90%) students consented to participate in the evaluation (mean age 7.8 years; 1487/3022, 49.22% girls). There were significant reductions between the intervention and control groups in the primary trial outcome, mean energy (kilojoules) content of discretionary foods packed in lunchboxes (-117.26 kJ; 95% CI -195.59 to -39.83; P=.003). Relative to the control, the intervention also significantly reduced secondary outcomes regarding the mean total lunchbox energy (kilojoules) packed (-88.38 kJ; 95% CI -172.84 to -3.92; P=.04) and consumed (-117.17 kJ; 95% CI -233.72 to -0.62; P=.05). There was no significant difference between groups in measures of student engagement, consumption of discretionary foods outside of school hours, or cost of foods packed in children's lunchboxes. CONCLUSIONS: The SWAP IT intervention was effective in reducing the energy content of foods packed for and consumed by primary school-aged children at school. Dissemination of the SWAP IT program at a population level has the potential to influence a significant proportion of primary school-aged children, impacting weight status and associated health care costs. TRIAL REGISTRATION: Australian Clinical Trials Registry ACTRN12618001731280; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376191&isReview=true. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12889-019-7725-x.

An exploratory analysis to identify behavior change techniques of implementation interventions associated with the implementation of healthy canteen policies.

Empirical studies to disentangle the effects of multicomponent implementation interventions are needed to inform the development of future interventions. This study aims to examine which behavior change techniques (BCTs) primarily targeting canteen manager are associated with school's healthy canteen policy implementation. This is a secondary data analysis from three randomized controlled trials assessing the impact of a "high," "medium," and "low" intensity intervention primarily targeting canteen managers on school's implementation of a healthy canteen policy. The policy required primary schools to remove all "red" (less healthy items) or "banned" (sugar sweetened beverages) items from regular sale and ensure that "green" (healthier items) dominated the menu (>50%). The delivery of BCTs were retrospectively coded. We undertook an elastic net regularized logistic regression with all BCTs in a single model. Five k-fold cross-validation elastic net models were conducted. The percentage of times each strategy remained across 1,000 replications was calculated. For no "red" or "banned" items (n = 162), the strongest BCTs were: problem solving, goal setting (behavior), and review behavior goals. These BCTs were identified in 100% of replications as a strong predictor in the cross-validation elastic net models. For the outcome relating to >50% "green" items, the BCTs problem solving, instruction on how to perform behavior and demonstration of behavior were the strongest predictors. Two strategies were identified in 100% of replications as a strong (i.e., problem solving) or weak predictor (i.e., feedback on behavior). This study identified unique BCTs associated with the implementation of a healthy canteen policy.

Evaluation of a voucher scheme to increase child physical activity in participants of a school physical activity trial in the Hunter region of Australia.

BACKGROUND: Global population data suggest that physical activity levels in children remain unacceptably low. Improved participation in organised sport has been recommended by the WHO as one strategy to improve population levels of physical activity. In 2018, in the state of New South Wales, Australia, the government introduced the Active Kids scheme, to help families meet the cost of getting children into organized sport. The aim of this study is to describe the uptake of Active Kids and assess the impact of the scheme on organized sport participation and child physical activity in a region of New South Wales. METHODS: A pragmatic longitudinal study was undertaken of parents/carers from primary school aged children (5-12 years) in the Hunter region of NSW, Australia. Baseline data were collected between Oct-Dec 2017, with follow-up 12 months later. A telephone survey occurred at both time points, asking questions regarding registration and redemption of an Active Kids voucher for their child, child participation in organised sports and child physical activity levels. RESULTS: Of the 974 parents/carers who consented to participate, 511 (52.5%) completed the telephone surveys at both time points. A very large proportion of children (n = 454, 89.0%) were reported by their parents/carers at baseline as meeting the minimum physical activity guideline of 60 min per day. Of participating parents/carers in this study, 407 (96.0%) reported redeeming an Active Kids voucher. Children who redeemed a voucher had three times the odds to participate in organized team sports from baseline to follow-up (p = 0.009). Sub group analyses identified that females who redeemed a voucher had four times the odds to participate in organized team sports (p = 0.012). CONCLUSIONS: Given the already active nature of this sample, no significant improvements in physical activity levels were noted, but the positive contribution community sport can have on health and wellbeing amongst children is reinforced. Whilst voucher schemes can address financial burdens across all socio-economic groups, more population targeting is needed to deliver voucher schemes to the most disadvantaged and inactive segments of the population in order to increase physical activity.

Correction: Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis.

[This corrects the article DOI: 10.2196/23180.].

Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis.

BACKGROUND: The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users' subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior. OBJECTIVE: This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins). METHODS: Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non-digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association. RESULTS: Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis). CONCLUSIONS: The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.

Prevalence of current school-level nutrition policies and practices of secondary schools in NSW, Australia.

ISSUE ADDRESSED: Lowering the rates of adolescent overweight and obesity is a public health priority. The implementation of nutrition policies and practices in schools is recommended by various health organisations, but there is little information on the extent of their implementation. The aim of this study is to describe the prevalence of the implementation of recommended school-level nutrition policies and practices in secondary schools in New South Wales (NSW), Australia, and reported barriers and facilitators to the adoption of such policies and practices in school plans. METHODS: A cross-sectional study was undertaken with school principals and canteen managers. All eligible secondary schools in NSW were approached to participate in a telephone survey (n = 440). Descriptive statistics were used to describe prevalence, and associations between school characteristics and implementation were examined using univariate statistics. RESULTS: A total of 137 school principals and 80 canteen managers completed the survey. The implementation of practices on drinking water during class, healthy food and beverage marketing and learning opportunities regarding healthy eating was high (>90% of participating schools). The implementation of practices regarding the restriction of unhealthy drinks in school canteens, healthy school fundraisers and staff training related to healthy eating was reported in under 25% of participating schools. There were no significant differences in implementation by school sector, socio-economic status and geographic location. The main barrier to inclusion of nutrition policies and practices in the school plan was having other priorities and commitments (28.5%), and the main facilitator was support from stakeholders, the staff, students and their parents (37.2%). CONCLUSIONS: There is opportunity to improve the implementation of nutrition policies and practices in NSW secondary schools. SO WHAT?: Strategies are needed for targeting barriers. These include: gaining support from school staff, students and parents, provision of resources and funding and staff training.

Secondary school implementation of a healthy eating policy.

ISSUE ADDRESSED: Healthy canteen policies regulating the sales of food and beverages are available across all the states and territories in Australia. The aim of this study was to assess the compliance with a newly updated healthy school canteen policy in New South Wales (NSW) among a sample of secondary schools. METHODS: A cross-sectional study of secondary school canteen menus was undertaken in selected regions across NSW (September 2017-November 2017). Government and Catholic secondary schools with a canteen menu publicly available on school websites were eligible for inclusion. Menus were classified according to the NSW Healthy School Canteen Strategy using a Quick Menu Audit tool, previously validated in primary schools. RESULTS: Of 62 Catholic and 128 Government secondary schools located in the study region, 53 secondary schools (25 Catholic and 28 Government) were eligible to participate. The average percentage of "everyday" (healthy) items on secondary school menus was 54% (strategy criteria is >75%). Twenty-eight per cent of menus had no "sugary drinks" (should not be sold). None of the 53 menus assessed met all strategy criteria regarding the availability of foods and beverages. There was no statistically significant difference in meeting; (a) 75% minimum "everyday" items and (b) no "sugary drinks," by socio-economic region, remoteness, school enrolments or school type. CONCLUSIONS: If public health benefits of healthy eating policies are to be realised, secondary schools need to be supported to implement such policies. SO WHAT?: Future research assessing the impact of intervention strategies to support policy implementation in secondary schools is recommended.

Investigating differences between traditional (paper bag) ordering and online ordering from primary school canteens: a cross-sectional study comparing menu, usage and lunch order characteristics.

OBJECTIVE: To assess differences between traditional paper bag ordering and online ordering from primary school canteens in terms of menu, usage and lunch order characteristics. DESIGN: A cross-sectional study. SETTING: New South Wales (NSW) primary schools that offered both paper bag and online canteen ordering. PARTICIPANTS: Students (aged 5-12 years) with a lunch order on the day of the observation. RESULTS: Across the six school canteens, 59-90 % of all available items were listed on both the online and paper menus, with no significant differences in the nutritional quality ('Everyday'/'Occasional') or nutritional content (kJ/saturated fat/sugar/sodium) of menu items. In total, 387 student lunch orders were placed, containing 776 menu items. Most orders (68 %) were placed online. There were no significant differences between order modality in the quantity of items ordered or the cost of orders, or the nutritional quality of orders based on the classification system of the NSW Healthy School Canteen Strategy ('Everyday'/'Occasional'). However, nutritional analysis revealed that paper bag orders contained 222 fewer kJ than online orders (P = 0·001), 0·65 g less saturated fat (P = 0·04) and 4·7 g less sugar (P < 0·001). CONCLUSIONS: Online canteens are commonly used to order canteen lunches for primary school children. This is the first study to investigate differences between traditional paper bag ordering and online ordering in this setting. Given the rapid increase in the use of online ordering systems in schools and other food settings and their potential to deliver public health nutrition interventions, additional research is warranted to further investigate differences in ordering modalities.

Enhancing the potential effects of text messages delivered via an m-health intervention to improve packing of healthy school lunchboxes.

OBJECTIVE: The aim of the study was to assess the impact of different lunchbox messages on parents' intention to pack a healthy lunchbox. DESIGN: This study employed an experimental design. SETTING: A series of messages were developed to align with the six constructs of the Health Belief Model. Messages were also developed that were (and were not) personalised and varied based on the source of the information provided (university, school, dietitian and health promotion service). During a telephone survey, participants were read the content of each message and asked about their intention to pack a healthy lunchbox. PARTICIPANTS: Parents of primary school-aged children were randomised to receive different messages to encourage the packing of healthy lunchboxes. RESULTS: The study was completed by 511 parents. Linear mixed regression analyses identified significant differences (P < 0·05) in intention scores between variant messages targeting the same behavioural constructs for 'susceptibility', 'severity', 'benefits' and 'barriers' but not 'cues to action' or 'self-efficacy'. The highest mean behavioural intention score was for 'benefits', whilst the lowest mean score was for 'barriers'. There were no significant differences in intention scores of parents receiving messages from a dietitian, university, health promotion team or school (P = 0·37). Intention scores did not differ in which messages were personalised based on child's name (P = 0·84) or grade level (P = 0·54). CONCLUSIONS: The findings suggest that messages that focus on the benefits of packing healthy lunchboxes may be particularly useful in improving intentions of parents to pack healthy foods for their children to consume at school.

Comparing, Contrasting, and Integrating Dissemination and Implementation Outcomes Included in the RE-AIM and Implementation Outcomes Frameworks.

As the field of dissemination and implementation science matures, there are a myriad of outcomes, identified in numerous frameworks, that can be considered across individual, organizational, and population levels. This can lead to difficulty in summarizing literature, comparing across studies, and advancing translational science. This manuscript sought to (1) compare, contrast, and integrate the outcomes included in the RE-AIM and Implementation Outcomes Frameworks (IOF) and (2) expand RE-AIM indicators to include relevant IOF dissemination and implementation outcomes. Cross tabular comparisons were made between the constitutive definitions of each construct, across frameworks, to reconcile apparent discrepancies between approaches and to distinguish between implementation outcomes and implementation antecedents. A great deal of consistency was identified across approaches, including adoption (the intention, initial decision, or action to employ an evidence-based intervention), fidelity/implementation (the degree to which an intervention was delivered as intended), organizational maintenance/sustainability (extent to which a newly implemented treatment is maintained or institutionalized), and cost. The IOF construct of penetration was defined as a higher-order construct that may encompass the reach, adoption, and organizational maintenance outcomes within RE-AIM. Within the IOF approach acceptability, appropriateness, and feasibility did not match constitutive definitions of dissemination or implementation but rather reflected theoretical antecedents of implementation outcomes. Integration of the IOF approach across RE-AIM indicators was successfully achieved by expanding the operational definitions of RE-AIM to include antecedents to reach, adoption, implementation, and organizational maintenance. Additional combined metrics were also introduced including penetration, individual level utility, service provider utility, organizational utility, and systemic utility. The expanded RE-AIM indicators move beyond the current approaches described within both the RE-AIM framework and IOF and provides additional planning and evaluation targets that can contribute to the scientific field and increase the translation of evidence into practice.

How are frames generated? Insights from the industry lobby against the sugar tax in Ireland.

There is a causal link between the consumption of ultra-processed foods and a range of non-communicable diseases (NCDs) such as obesity, type 2 diabetes and cancers. Despite this, no country in the world has reduced its obesity levels because the factors that drive obesity continue unchanged (Swinburn et al., 2019). One systemic driver is corporate influence on the public policy process. The world's largest food and beverage manufacturers engage public relations firms to create a narrative which speaks of corporate cooperation with public health policy, while simultaneously influencing policy making in ways that are favorable to industry. We sought to examine framing as a key strategy in the corporate political activity of food industry actors attempting to resist the introduction of a public health policy. Specifically, we analyzed industry submissions for an Irish government consultation for the proposed introduction of a sugar sweetened beverage (SSB) tax in 2018. We describe how a food product like sugar is framed positively by corporate actors who rely on it as their principal ingredient. Sugar is a good focus from a framing perspective because it is currently undergoing recalibration in the public's imagination - from a benign, nourishing treat in its heyday to a dangerous 'substance' that can contribute to premature mortality. Framing is already well established as a corporate political activity (CPA) to influence public policy (Shelton et al., 2017; Nixon et al., 2015; Darmon et al., 2008). Our research expands this understanding by uncovering four underlying mechanisms used to generate frames - dichotomizing, contesting, equating and cropping. Recognizing these mechanisms could help policy makers, public health professionals and business ethicists to deconstruct any given frame that becomes dominant in corporate discourse, such as 'personal responsibility', 'inadequate exercise', 'freedom' and so on. These mechanisms may also apply to other industries such as alcohol, fossil fuels and tobacco, where hazards from interference in public health strategies are a concern.