An audit of the dissemination strategies and plan included in international food-based dietary guidelines.

OBJECTIVE: Food-based dietary guidelines (FBDG) are an important resource to improve population health; however, little is known about the types of strategies to disseminate them. This study sought to describe dissemination strategies and content of dissemination plans that were available for FBDG. DESIGN: A cross-sectional audit of FBDG with a published English-language version sourced from the United Nations FAO repository. We searched for publicly available dissemination strategies and any corresponding plans available in English language. Two authors extracted data on strategies, which were grouped according to the Model for Dissemination Research Framework (including source, audience, channel and message). For guidelines with a dissemination plan, we described goals, audience, strategies and expertise and resources according to the Canadian Institute for Health Research guidance. SETTING: FBDG from fifty-three countries mostly from high-income (n 28, 52·8 %), and upper-middle income (n 18, 34 %) areas were included. PARTICIPANTS: n/a. RESULTS: The source of guidelines was most frequently health departments (79·2 %). The message included quantities and types of foods, physical activity recommendations and 88·7 % included summarised versions of main messages. The most common channels were infographics and information booklets, and the main end-users were the public. For twelve countries (22·6 %), we were able to source an English-language dissemination plan, where none met all recommendations outlined by the Canadian Institute for Health Research. CONCLUSIONS: The public was the most frequently identified end-user and thus most dissemination strategies and plans focused on this group. Few FBDG had formal dissemination plans and of those there was limited detailed provided.

Improving academic and public health impact of Cochrane public health reviews: what can we learn from bibliographic metrics and author dissemination strategies? A cross-sectional study.

BACKGROUND: To facilitate the development of impactful research dissemination strategies, this study aimed to: (i) survey authors of trials included in a sample of Cochrane reviews to describe strategies to disseminate trial findings, and examine their association with academic and policy impacts and (ii) audit academic and policy impact of CPH reviews. METHODS: Authors of 104 trials within identified Cochrane reviews completed survey items assessing the dissemination strategies. Field weighted citation (FWCI) data extracted from bibliographic databases served as a measure of academic impact of trials and CPH reviews. Policy and practice impacts of trials were assessed during the survey of trial authors using items based on the Payback Framework, and for CPH reviews using 'policy mention' data collected via Altmetric Explorer. RESULTS: Among the included trials, univariate (but not multivariable) regression models revealed significant associations between the use of dissemination strategies (i.e. posts on social media; workshops with end-users; media-releases) and policy or practice impacts. No significant associations were reported between dissemination strategies and trial FWCI. The mean FWCI of CPH reviews suggest that they are cited 220% more than other reviews in their field. CONCLUSIONS: Comprehensive dissemination strategies are likely required to maximize the potential the potential impacts of public health research.

Dissemination of public health research to prevent non-communicable diseases: a scoping review.

BACKGROUND: Dissemination is a critical element of the knowledge translation pathway, and a necessary step to ensure research evidence is adopted and implemented by key end users in order to improve health outcomes. However, evidence-based guidance to inform dissemination activities in research is limited. This scoping review aimed to identify and describe the scientific literature examining strategies to disseminate public health evidence related to the prevention of non-communicable diseases. METHODS: Medline, PsycInfo and EBSCO Search Ultimate were searched in May 2021 for studies published between January 2000 and the search date that reported on the dissemination of evidence to end users of public health evidence, within the context of the prevention of non-communicable diseases. Studies were synthesised according to the four components of Brownson and colleagues' Model for Dissemination of Research (source, message, channel and audience), as well as by study design. RESULTS: Of the 107 included studies, only 14% (n = 15) directly tested dissemination strategies using experimental designs. The remainder primarily reported on dissemination preferences of different populations, or outcomes such as awareness, knowledge and intentions to adopt following evidence dissemination. Evidence related to diet, physical activity and/or obesity prevention was the most disseminated topic. Researchers were the source of disseminated evidence in over half the studies, and study findings/knowledge summaries were more frequently disseminated as the message compared to guidelines or an evidence-based program/intervention. A broad range of dissemination channels were utilised, although peer-reviewed publications/conferences and presentations/workshops predominated. Practitioners were the most commonly reported target audience. CONCLUSIONS: There is a significant gap in the peer reviewed literature, with few experimental studies published that analyse and evaluate the effect of different sources, messages and target audiences on the determinants of uptake of public health evidence for prevention. Such studies are important as they can help inform and improve the effectiveness of current and future dissemination practices in public health contexts.

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.

The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis.

BACKGROUND: Digital health interventions (DHIs) are effective in improving poor nutrition, physical inactivity, overweight and obesity. There is evidence suggesting that the impact of DHIs may be enhanced by improving user engagement. However, little is known about the overall effectiveness of strategies on engagement with DHIs. OBJECTIVE: This study aims to assess the overall effectiveness of strategies to improve engagement with DHIs targeting nutrition, physical activity, and overweight or obesity and explore associations between strategies and engagement outcomes. The secondary aim was to explore the impact of these strategies on health risk outcomes. METHODS: The MEDLINE, Embase, PsycINFO, CINAHL, CENTRAL, Scopus, and Academic Source Complete databases were searched up to July 24, 2023. Eligible studies were randomized controlled trials that evaluated strategies to improve engagement with DHIs and reported on outcomes related to DHI engagement (use or user experience). Strategies were classified according to behavior change techniques (BCTs) and design features (eg, supplementary emails). Multiple-variable meta-analyses of the primary outcomes (usage and user experience) were undertaken to assess the overall effectiveness of strategies. Meta-regressions were conducted to assess associations between strategies and use and user experience outcomes. Synthesis of secondary outcomes followed the "Synthesis Without Meta-Analysis" guidelines. The methodological quality and evidence was assessed using the Cochrane risk-of-bias tool, and the Grading of Recommendations Assessment, Development, and Evaluation tool respectively. RESULTS: Overall, 54 studies (across 62 publications) were included. Pooled analysis found very low-certainty evidence of a small-to-moderate positive effect of the use of strategies to improve DHI use (standardized mean difference=0.33, 95% CI 0.20-0.46; P<.001) and very low-certainty evidence of a small-to-moderate positive effect on user experience (standardized mean difference=0.29, 95% CI 0.07-0.52; P=.01). A significant positive association was found between the BCTs social support (effect size [ES]=0.40, 95% CI 0.14-0.66; P<.001) and shaping knowledge (ES=0.39, 95% CI 0.03-0.74; P=.03) and DHI use. A significant positive association was found among the BCTs social support (ES=0.70, 95% CI 0.18-1.22; P=.01), repetition and substitution (ES=0.29, 95% CI 0.05-0.53; P=.03), and natural consequences (ES=0.29, 95% CI 0.05-0.53; P=.02); the design features email (ES=0.29, 95% CI 0.05-0.53; P=.02) and SMS text messages (ES=0.34, 95% CI 0.11-0.57; P=.01); and DHI user experience. For secondary outcomes, 47% (7/15) of nutrition-related, 73% (24/33) of physical activity-related, and 41% (14/34) of overweight- and obesity-related outcomes reported an improvement in health outcomes. CONCLUSIONS: Although findings suggest that the use of strategies may improve engagement with DHIs targeting such health outcomes, the true effect is unknown because of the low quality of evidence. Future research exploring whether specific forms of social support, repetition and substitution, natural consequences, emails, and SMS text messages have a greater impact on DHI engagement is warranted. TRIAL REGISTRATION: PROSPERO CRD42018077333; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=77333.

Dissemination of public health research evidence and guidelines to Australian Early Childhood Education and Care staff: Views about source, content and format.

ISSUE ADDRESSED: Effective dissemination of public health research and evidence-based guidelines to Early Childhood Education and Care (ECEC) staff is critical for promoting research transfer and uptake and achieving positive outcomes for children. METHODS: A cross-sectional study was conducted during August 2021 to March 2022, with a sub-sample of Australian ECEC services participating in a larger survey completed online and via Computer-Assisted Telephone Interview. Survey items assessed: influential source for receiving research, type of content that would influence decisions to adopt research and preferred formats for receiving research. RESULTS: Overall, 993 service managers or staff from 1984 (50.0%) invited and eligible services completed the larger survey. Of these, 463 randomly allocated services (46.7%) had staff complete the dissemination items. The Australian Children's Education and Care Quality Authority, ECEC agencies and Government Departments were most frequently selected as influential sources of research evidence. Staff were most interested in content providing evidence-based recommendations for future actions and descriptions of health issues addressed. Workshops or conferences and webinars were the preferred format for receiving research. CONCLUSIONS: Findings highlight the importance of tailoring dissemination strategies to meet ECEC staff needs and engaging influential sources to disseminate research evidence. SO WHAT?: Understanding dissemination preferences of ECEC staff is crucial for supporting uptake of evidence-based health promotion in this setting. By developing tailored strategies based on ECEC preferences, research transfer and evidence-based decision making can be supported more effectively. These findings contribute to bridging the evidence-practice gap and improving the quality of care and health outcomes for children in ECEC settings.

An mHealth Intervention to Reduce the Packing of Discretionary Foods in Children's Lunch Boxes in Early Childhood Education and Care Services: Cluster Randomized Controlled Trial.

BACKGROUND: Interventions in early childhood education and care (ECEC) services have the potential to improve children's diet at the population level. OBJECTIVE: This study aims to test the efficacy of a mobile health intervention in ECEC services to reduce parent packing of foods high in saturated fat, sugar, and sodium (discretionary foods) in children's (aged 3-6 years) lunch boxes. METHODS: A cluster randomized controlled trial was undertaken with 355 parent and child dyads recruited by phone and in person from 17 ECEC services (8 [47%] intervention and 9 [53%] control services). Parents in the intervention group received a 10-week fully automated program targeting barriers to packing healthy lunch boxes delivered via an existing service communication app. The program included weekly push notifications, within-app messages, and links to further resources, including websites and videos. The control group did not receive any intervention. The primary outcomes were kilojoules from discretionary foods and associated nutrients (saturated fat, free sugars, and sodium) packed in children's lunch boxes. Secondary outcomes included consumption of kilojoules from discretionary foods and related nutrients and the packing and consumption of serves of discretionary foods and core food groups. Photography and weights of foods in children's lunch boxes were recorded by trained researchers before and after the trial to assess primary and secondary outcomes. Outcome assessors were blinded to service allocation. Feasibility, appropriateness, and acceptability were assessed via an ECEC service manager survey and a parent web-based survey. Use of the app was assessed via app analytics. RESULTS: Data on packed lunch box contents were collected for 88.8% (355/400) of consenting children at baseline and 84.3% (337/400) of children after the intervention. There was no significant difference between groups in kilojoule from discretionary foods packed (77.84 kJ, 95% CI -163.49 to 319.18; P=.53) or the other primary or secondary outcomes. The per-protocol analysis, including only data from children of parents who downloaded the app, also did not find any statistically significant change in primary (-1.98 kJ, 95% CI -343.87 to 339.90; P=.86) or secondary outcomes. Approximately 61.8% (102/165) of parents in the intervention group downloaded the app, and the mean service viewing rate of weekly within-app messages was 26% (SD 14.9). Parents who responded to the survey and participating services agreed that it was appropriate to receive lunch box information via the app (40/50, 80% and 6/8, 75%, respectively). CONCLUSIONS: The intervention was unable to demonstrate an impact on kilojoules or associated nutrients from discretionary foods packed in children's lunch boxes. Low app downloads and program message views indicate a need to explore how to improve factors related to implementation before further testing similar mobile health interventions in this setting. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12618000133235; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374379.

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.

Assessing the implementation of healthy eating and physical activity policies and practices in the family day care setting: A cross-sectional study.

ISSUE ADDRESSED: While the family day care setting provides a unique opportunity to improve child health, few studies have assessed obesity prevention practices of this setting. This study aimed to examine the (a) prevalence of implementation of evidence-based healthy eating and physical activity policies and practices among schemes (ie overarching governing agency) and educators in the family day care setting in Australia; and (b) associations between educator socio-demographic characteristics and implementation of healthy eating and physical activity practices. METHODS: Family day care schemes (n = 16) responsible for educators (n = 174) located in the Hunter New England region of NSW participated in a telephone survey in 2018, reporting their implementation of evidence-based healthy eating and physical activity policies and practices. Linear mixed regression analyses were used to determine whether educator characteristics were associated with higher percentages of implementation. RESULTS: Few schemes had comprehensive breastfeeding (0%) and screen time (19%) policies. However, the majority of educators (81%) communicated with families when lunchboxes were not consistent with guidelines. Educators implemented an average of 64.3% of practices assessed. Educators located in higher socioeconomic areas implemented a significantly higher percentage of practices than those in lower socioeconomic areas (P < .000). Educator years of experience was positively associated with percentage of implementation (P = .009). CONCLUSIONS: The implementation of obesity prevention policies and practices in the family day care setting is variable and associated with educator socio-demographic characteristics. SO WHAT?: There is a need to support family day care schemes to improve their obesity prevention environments, particularly those related to policies.

Strategies to improve the implementation of healthy eating, physical activity and obesity prevention policies, practices or programmes within childcare services.

BACKGROUND: Despite the existence of effective interventions and best-practice guideline recommendations for childcare services to implement evidence-based policies, practices and programmes to promote child healthy eating, physical activity and prevent unhealthy weight gain, many services fail to do so. OBJECTIVES: The primary aim of the review was to examine the effectiveness of strategies aimed at improving the implementation of policies, practices or programmes by childcare services that promote child healthy eating, physical activity and/or obesity prevention. The secondary aims of the review were to: 1. Examine the cost or cost-effectiveness of such strategies; 2. Examine any adverse effects of such strategies on childcare services, service staff or children; 3. Examine the effect of such strategies on child diet, physical activity or weight status. 4. Describe the acceptability, adoption, penetration, sustainability and appropriateness of such implementation strategies. SEARCH METHODS: We searched the following electronic databases on February 22 2019: Cochrane Central Register of Controlled trials (CENTRAL), MEDLINE, MEDLINE In Process, Embase, PsycINFO, ERIC, CINAHL and SCOPUS for relevant studies. We searched reference lists of included studies, handsearched two international implementation science journals, the World Health Organization International Clinical Trials Registry Platform (www.who.int/ictrp/) and ClinicalTrials.gov (www.clinicaltrials.gov). SELECTION CRITERIA: We included any study (randomised or nonrandomised) with a parallel control group that compared any strategy to improve the implementation of a healthy eating, physical activity or obesity prevention policy, practice or programme by staff of centre-based childcare services to no intervention, 'usual' practice or an alternative strategy. Centre-based childcare services included preschools, nurseries, long daycare services and kindergartens catering for children prior to compulsory schooling (typically up to the age of five to six years). DATA COLLECTION AND ANALYSIS: Two review authors independently screened study titles and abstracts, extracted study data and assessed risk of bias; we resolved discrepancies via consensus. We performed meta-analysis using a random-effects model where studies with suitable data and homogeneity were identified; otherwise, findings were described narratively. MAIN RESULTS: Twenty-one studies, including 16 randomised and five nonrandomised, were included in the review. The studies sought to improve the implementation of policies, practices or programmes targeting healthy eating (six studies), physical activity (three studies) or both healthy eating and physical activity (12 studies). Studies were conducted in the United States (n = 12), Australia (n = 8) and Ireland (n = 1). Collectively, the 21 studies included a total of 1945 childcare services examining a range of implementation strategies including educational materials, educational meetings, audit and feedback, opinion leaders, small incentives or grants, educational outreach visits or academic detailing, reminders and tailored interventions. Most studies (n = 19) examined implementation strategies versus usual practice or minimal support control, and two compared alternative implementation strategies. For implementation outcomes, six studies (one RCT) were judged to be at high risk of bias overall. The review findings suggest that implementation strategies probably improve the implementation of policies, practices or programmes that promote child healthy eating, physical activity and/or obesity prevention in childcare services. Of the 19 studies that compared a strategy to usual practice or minimal support control, 11 studies (nine RCTs) used score-based measures of implementation (e.g. childcare service nutrition environment score). Nine of these studies were included in pooled analysis, which found an improvement in implementation outcomes (SMD 0.49; 95% CI 0.19 to 0.79; participants = 495; moderate-certainty evidence). Ten studies (seven RCTs) used dichotomous measures of implementation (e.g. proportion of childcare services implementing a policy or specific practice), with seven of these included in pooled analysis (OR 1.83; 95% CI 0.81 to 4.11; participants = 391; low-certainty evidence). Findings suggest that such interventions probably lead to little or no difference in child physical activity (four RCTs; moderate-certainty evidence) or weight status (three RCTs; moderate-certainty evidence), and may lead to little or no difference in child diet (two RCTs; low-certainty evidence). None of the studies reported the cost or cost-effectiveness of the intervention. Three studies assessed the adverse effects of the intervention on childcare service staff, children and parents, with all studies suggesting they have little to no difference in adverse effects (e.g. child injury) between groups (three RCTs; low-certainty evidence). Inconsistent quality of the evidence was identified across review outcomes and study designs, ranging from very low to moderate. The primary limitation of the review was the lack of conventional terminology in implementation science, which may have resulted in potentially relevant studies failing to be identified based on the search terms used. AUTHORS' CONCLUSIONS: Current research suggests that implementation strategies probably improve the implementation of policies, practices or programmes by childcare services, and may have little or no effect on measures of adverse effects. However such strategies appear to have little to no impact on measures of child diet, physical activity or weight status.

Adaptation, acceptability and feasibility of a Short Food Survey to assess the dietary intake of children during attendance at childcare.

OBJECTIVE: To (i) describe the adaptation of the Short Food Survey (SFS) for assessing the dietary intake of children (2-5 years) during attendance at Early Childhood Education and Care (SFS-ECEC); (ii) determine the acceptability and feasibility of the SFS-ECEC; and (iii) compare the SFS-ECEC to direct observations for assessing dietary intake of children in care. DESIGN: The adapted forty-seven-item SFS-ECEC was completed by childcare educators to capture individual child's usual intake over the past month. Acceptability and feasibility were assessed via educator self-report and completion rates. Mean servings of food groups consumed in accordance with dietary guidelines reported in the SFS-ECEC were compared to those obtained by a single-day direct observation via visual estimation conducted by trained personnel. Mean differences, intra-class correlations, Bland-Altman plots, percentage agreement and Cohen's κ were examined. SETTING: Early Childhood Education and Care, NSW, Australia. PARTICIPANTS: Educators and children. RESULTS: 213 (98·61 %) SFS-ECECs were returned. Acceptability was high with 86·54 % of educators reporting the tool as easy to understand. Mean differences in servings of food groups between the SFS-ECEC and direct observation were statistically significantly different for five out of six foods and ranged 0·08-1·07, with intra-class correlations ranging 0·00-0·21. Agreement between the methods in the classification of children meeting or not meeting dietary guidelines ranged 42·78-93·01 %, with Cohen's κ ranging -0·03 to 0·14. CONCLUSIONS: The SFS-ECEC is acceptable and feasible for completion by childcare educators. While tool refinement and further validation is warranted, small mean differences suggest the tool may be useful in estimating group-level intakes.

Effectiveness of a Web-Based Menu-Planning Intervention to Improve Childcare Service Compliance With Dietary Guidelines: Randomized Controlled Trial.

BACKGROUND: Foods provided in childcare services are not consistent with dietary guideline recommendations. Web-based systems offer unique opportunities to support the implementation of such guidelines. OBJECTIVE: This study aimed to assess the effectiveness of a Web-based menu planning intervention in increasing the mean number of food groups on childcare service menus that comply with dietary guidelines. Secondary aims were to assess the impact of the intervention on the proportion of service menus compliant with recommendations for (1) all food groups; (2) individual food groups; and (3) mean servings of individual food groups. Childcare service use and acceptability of the Web-based program were also assessed. METHODS: A single-blind, parallel-group randomized controlled trial was undertaken with 54 childcare services in New South Wales, Australia. Services were randomized to a 12-month intervention or usual care control. Intervention services received access to a Web-based menu planning program linked to their usual childcare management software system. Childcare service compliance with dietary guidelines and servings of food groups were assessed at baseline, 3-month follow-up, and 12-month follow-up. RESULTS: No significant differences in the mean number of food groups compliant with dietary guidelines and the proportion of service menus compliant with recommendations for all food groups, or for individual food groups, were found at 3- or 12-month follow-up between the intervention and control groups. Intervention service menus provided significantly more servings of fruit (P<.001), vegetables (P=.03), dairy (P=.03), and meat (P=.003), and reduced their servings of discretionary foods (P=.02) compared with control group at 3 months. This difference was maintained for fruit (P=.03) and discretionary foods (P=.003) at 12 months. Intervention childcare service staff logged into the Web-based program an average of 40.4 (SD 31.8) times and rated the program as highly acceptable. CONCLUSIONS: Although improvements in childcare service overall menu and individual food group compliance with dietary guidelines were not statistically significant, findings indicate that a Web-based menu planning intervention can improve the servings for some healthy food groups and reduce the provision of discretionary foods. Future research exploring the effectiveness of differing strategies in improving the implementation of dietary guidelines in childcare services is warranted. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry (ANZCTR): 16000974404; http://www.anzctr.org.au/ACTRN12616000974404.aspx.

Implementation of continuous free play schedules in Australian childcare services: A cross-sectional study.

ISSUE ADDRESSED: Modifying the scheduling of physical activity opportunities to provide children with more frequent opportunities for outdoor free play has been demonstrated to increase child physical activity while in care. The primary aim of this study was to describe the implementation of continuous free play schedules to allow children to access outdoor play areas, consistent with sector guidelines in a national sample of Australian childcare services. Secondary aims were to investigate the associations between the implementation of such schedules and service characteristics, and assess the perceived barriers and enablers to implementation. METHODS: A cross-sectional study was undertaken with a random sample of 326 centre-based childcare services located across Australia. Childcare service characteristics, continuous free play scheduling and perceived barriers and enablers to implementation were assessed via a survey administered to service managers online or via telephone. RESULTS: A total of 203 service managers (62%) reported implementing a continuous free play schedule, for three periods of 126 minutes per period, each day on average. Service type (long day care services), size (services with higher numbers of child enrolments [≥80 children]) and socio-economic area (services located in lower socio-economic areas) were associated with the implementation of a continuous free play schedule. The most prevalent barriers to implementation included insufficient staff to ensure adequate supervision of children (69%) and service layout being unsuitable (65%), while the most prevalent enablers included advice on how to overcome staffing or supervision issues (89%) and to re-orientate the service layout (54%). CONCLUSIONS: There is scope to support the implementation of continuous free play schedules consistent with childcare sector guidelines. SO WHAT?: Future intervention research that targets the reported barriers and enablers to implementation is needed.

Menu planning practices in early childhood education and care - factors associated with menu compliance with sector dietary guidelines.

ISSUE ADDRESSED: Despite recommendations, early childhood education and care services do not plan menus in accordance with sector dietary guidelines. This study aimed to examine the following among Australian long day care services: (a) menu planning practices; (b) prevalence of menu compliance with sector dietary guidelines; and (c) menu planning practices associated with higher menu compliance with sector dietary guidelines. METHODS: Long day care services within Hunter New England, NSW participated in a pen and paper survey assessing menu planning practices and socio-demographic and service characteristics. Two-week menus were assessed for compliance with sector dietary guidelines, based on the number of servings of food groups and discretionary foods provided per child, per day. RESULTS: Staff from 72 services completed the survey and 69 provided their menu. Results indicated the service cook was fully responsible for planning the menu in 43% of services, and 57% had received written support to assist with menu planning. Service menus were compliant with an average of 0.68 out of six food groups and discretionary foods. In poisson regression models, a shorter menu cycle length (P = .04) and the receipt of training opportunities to support menu planning (P < .01) were significantly associated with higher menu compliance. CONCLUSIONS: Menu compliance with sector dietary guidelines is low among participating long day care services. SO WHAT?: The implementation of practices such as shortening of the menu cycle and the provision of training opportunities may assist in the planning of menus that are more compliant with dietary guidelines in this setting.

The effectiveness of lunchbox interventions on improving the foods and beverages packed and consumed by children at centre-based care or school: a systematic review and meta-analysis.

OBJECTIVE: To assess the effectiveness of lunchbox interventions aiming to improve the foods and beverages packed and consumed by children at centre-based care or school; and subsequent impact on children's adiposity. METHODS: Systematic search of nine databases for controlled trials published in English between 1995-January 2017. Where appropriate, data were pooled in a random effects meta-analysis. RESULTS: Of the 1601 articles identified, ten studies (centre-based care n = 4, school n = 6) were included of which eight were RCTs. The impact of interventions on the packing of discretionary foods, sugar-sweetened drinks and other core foods was inconsistent. Meta-analysis of four RCTs trials found a moderate increase in provision of vegetables (SMD = 0.40 95% CI 0.16 to 0.64, p = 0.001, I2 = 82%; equivalent to a mean difference of 0.28 serves) but not fruit. Four studies reported impact on children's dietary intake, one reported no significant effect on consumption of discretionary foods, one reported improvements in the consumption of sugar-sweetened drinks and water, and two reported improvements in consumption of vegetables and fruit. Two studies, that were broader obesity prevention interventions, reported no significant impact on adiposity. CONCLUSIONS: There is some evidence that lunchbox interventions are effective in improving the packing of vegetables in children's lunchboxes, however more robust research is required to determine the impact on children's dietary intake and adiposity. TRIAL REGISTRATION: PROSPERO 2016: CRD42016035646 .

A randomized controlled trial to assess the potential efficacy, feasibility and acceptability of an m-health intervention targeting parents of school aged children to improve the nutritional quality of foods packed in the lunchbox 'SWAP IT'.

BACKGROUND: Scalable interventions that improve the nutritional quality of foods in children's lunchboxes have considerable potential to improve child public health nutrition. This study assessed the potential efficacy, feasibility and acceptability of an m-health intervention, 'SWAP IT', to improve the energy and nutritional quality of foods packed in children's lunchboxes. METHODS: The study employed a 2X2 factorial cluster randomized-controlled trial design. Twelve primary schools in New South Wales, Australia were randomly allocated to one of four groups: (i) no intervention;(ii) physical activity intervention only;(iii) lunchbox intervention only; or(iv) physical activity and lunchbox intervention combined. The two intervention strategies were evaluated separately. This paper focuses on the effects of the lunchbox intervention only. The lunchbox intervention comprised four strategies: 1) school nutrition guidelines; 2) lunchbox lessons; 3) information pushed to parents via a school-communication app and 4) parent resources addressing barriers to packing healthy lunchboxes. Outcome measures were taken at baseline and immediately post-intervention (10 weeks) and included measures of effectiveness (mean energy (kJ) packed in lunchboxes, total energy and percentage energy from recommended foods consistent with Australian Dietary Guidelines), feasibility (of delivering intervention to schools, parent app engagement and behaviour change) and acceptability to school staff and parents. Linear mixed models were used to assess intervention efficacy. RESULTS: Of the 1915 lunchbox observations, at follow-up there was no significant differences between intervention and control group in mean energy of foods packed within lunchboxes (- 118.39 kJ, CI = -307.08, 70.30, p = 0.22). There was a significant increase favouring the intervention in the secondary outcome of mean lunchbox energy from recommended foods (79.21 kJ, CI = 1.99, 156.43, p = 0.04), and a non-significant increase in percentage of lunchbox energy from recommended foods in intervention schools (4.57%, CI = -0.52, 9.66, p = 0.08). The views of the messages pushed via the app ranged from 387 to 1550 views per week (mean views =1025 per week). A large proportion (71%) of parents reported awareness of the intervention, making healthier swaps in the lunchbox (55%), and pushed content was helpful (84%). CONCLUSION: The study is the first RCT to assess the potential of a multi-component m-health lunchbox intervention. The intervention was feasible, acceptable and potentially effective in improving the nutritional quality of foods packed within children's lunchboxes. TRIAL REGISTRATION: Australian Clinical Trials Registry ACTRN: ACTRN12616001228471 .

Identifying opportunities to develop the science of implementation for community-based non-communicable disease prevention: A review of implementation trials.

Implementation of interventions in community organisations such as schools, childcare centres, and sporting clubs are recommended to target a range of modifiable risks of non-communicable diseases. Poor implementation, however, is common and has contributed to the failure of non-communicable disease interventions globally. This study aimed to characterise experimental research regarding strategies to improve implementation of chronic disease prevention programs in community settings. The review used data collected in three comprehensive systematic reviews undertaken between August 2015 and July 2017. Randomised controlled trials, including cluster design, and non-randomised trials with a parallel control group were included. The data were extracted to describe trial characteristics, implementation strategies employed, implementation outcomes and study quality. Of the 40 implementation trials included in the study, unhealthy diet was the most common risk factor targeted (n = 20). The most commonly reported implementation strategies were educational meetings (n = 38, 95%), educational materials (n = 36, 90%) and educational outreach visits (n = 29, 73%). Few trials were conducted 'at-scale' (n = 8, 20%) or reported adverse effects (n = 5, 13%). The reporting of implementation related outcomes; intervention adoption (n = 13, 33%); appropriateness (n = 11, 28%); acceptability (n = 8, 20%); feasibility (n = 8, 20%); cost (n = 3, 8%); and sustainability (n = 2, 5%); was limited. For the majority of trials, risk of bias was high for blinding of study personnel/participants and outcome assessors. Testing of strategies to improve implementation of non-communicable disease prevention strategies in community settings, delivered 'at-scale', utilising implementation frameworks, including a comprehensive range of implementation outcomes should be priority areas for future research in implementation science.

Efficacy of a free-play intervention to increase physical activity during childcare: a randomized controlled trial.

The primary aim of this study was to assess the efficacy of a childcare-based intervention in increasing child physical activity by allowing children unrestricted access to outdoor areas for free-play when structured activity is not taking place. A randomized controlled trial was conducted in six childcare services. Intervention services provided children unrestricted access outdoors for active free-play, while control services provided their usual scheduled periods of outdoor play. Consent was obtained from 231 children. Child moderate to vigorous activity (MVPA), the primary trial outcome, was assessed via accelerometer at baseline and 3 months post baseline. Intervention effects were examined using Generalised Linear Mixed Models. Controlling for child age, gender and baseline outcome measure, at follow-up there were no significant differences between groups in minutes of MVPA in-care (mean difference: 4.85; 95% CI: -3.96, 13.66; P = 0.28), proportion of wear time in-care spent in MVPA (mean difference: 1.52%; 95% CI: -0.50, 3.53; P = 0.14) or total physical activity in-care (mean difference in counts per minute: 23.18; 95% CI: -4.26, 50.61; P = 0.10), nor on measures of child cognition (P = 0.45-0.91). It was concluded that interventions addressing multiple aspects of the childcare and home environment might provide the greatest potential to improve child physical activity.

Impact of scheduling multiple outdoor free-play periods in childcare on child moderate-to-vigorous physical activity: a cluster randomised trial.

BACKGROUND: Increasing the frequency of periods of outdoor free-play in childcare may represent an opportunity to increase child physical activity. This study aimed to assess the efficacy of scheduling multiple periods of outdoor free-play in increasing the time children spend in moderate-to-vigorous physical activity (MVPA) while attending childcare. METHODS: The study employed a cluster randomised controlled trial design involving children aged 3 to 6 years, attending ten childcare services in the Hunter New England region of New South Wales, Australia. Five services were randomised to receive the intervention and five to a control condition. The intervention involved services scheduling three separate periods of outdoor free-play from 9 am to 3 pm per day, each at least 15 min in duration, with the total equivalent to their usual daily duration of outdoor play period. Control services implemented the usual single continuous period of outdoor free-play over this time. The primary outcome, children's moderate-to-vigorous physical activity (MVPA) while in care per day, was measured over 5 days via accelerometers at baseline and at 3 months post baseline. Secondary outcomes included percentage of time spent in MVPA while in care per day, total physical activity while in care per day and documented child injury, a hypothesised potential unintended adverse event. Childcare services and data collectors were not blind to the experimental group allocation. RESULTS: Parents of 439 (71.6%) children attending participating childcare services consented for their child to participate in the trial. Of these, 316 (72.0%) children provided valid accelerometer data at both time points. Relative to children in control services, mean daily minutes of MVPA in care was significantly greater at follow-up among children attending intervention services (adjusted difference between groups 5.21 min, 95% CI 0.59-9.83 p = 0.03). Percentage of time spent in MVPA in care per day was also greater at follow-up among children in intervention services relative to control services (adjusted difference between groups 1.57, 95% CI 0.64-2.49 p < 0.001). Total physical activity while in care per day, assessed via counts per minute approached but did not reach significance (adjusted difference between groups 14.25, 95% CI 2.26-30.76 p = 0.09). There were no differences between groups in child injury nor subgroup interactions for the primary trial outcome by child age, sex, or baseline MVPA levels. CONCLUSION: Scheduling multiple periods of outdoor free-play significantly increased the time children spent in MVPA while in attendance at childcare. This simple ecological intervention could be considered for broader dissemination as a strategy to increase child physical activity at a population level. TRIAL REGISTRATION: This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) ( ACTRN1261000347460 ). Prospectively registered 17th March 2016.

Improving the implementation of nutrition guidelines in childcare centres improves child dietary intake: findings of a randomised trial of an implementation intervention.

OBJECTIVE: Evidence suggests that improvements to the childcare nutrition environment can have a positive impact on child dietary intake. The primary aim of the present study was to assess, relative to usual care, the effectiveness of a multi-strategy implementation intervention in improving childcare compliance with nutrition guidelines. As a secondary aim, the impact on child dietary intake was assessed. DESIGN: Parallel-group, randomised controlled trial design. The 6-month intervention was designed to overcome barriers to implementation of the nutrition guidelines that had been identified by applying the theoretical domains framework. SETTING: Hunter New England region, New South Wales, Australia. SUBJECTS: Forty-five centre-based childcare services. RESULTS: There were no differences between groups in the proportion of services providing food servings (per child) compliant with nutrition guideline recommendations for all five (5/5) food groups at follow-up (i.e. full compliance). Relative to control services, intervention services were more likely to be compliant with guidelines (OR; 95 % CI) in provision of fruit (10·84; 1·19, 551·20; P=0·0024), meat and meat alternatives (8·83; 1·55, -; P=0·023), dairy (8·41; 1·60, 63·62; P=0·006) and discretionary foods (17·83; 2·15, 853·73; P=0·002). Children in intervention services consumed greater servings (adjusted difference; 95 % CI) of fruit (0·41; 0·09, 0·73; P=0·014) and vegetables (0·70; 0·33, 1·08; P<0·001). CONCLUSIONS: Findings indicate that service-level changes to menus in line with dietary guidelines can result in improvements to children's dietary intake. The study provides evidence to advance implementation research in the setting as a means of enhancing child public health nutrition.