A longitudinal study assessing childcare services' adoption of obesity prevention policies and practices

Assessing the scalability of evidence-based healthy eating and physical activity interventions in early childhood education and care: A cross-sectional study of end-user perspectives

OBJECTIVES

To describe early childhood education and care (ECEC) services: i) perceptions regarding the scalability of healthy eating and physical activity interventions; and ii) associations between scalability and service characteristics.

METHODS

A cross-sectional survey was conducted with a randomly selected sample of ECEC services across Australia. The scalability of 12 healthy eating and physical activity interventions was assessed using items based on the Intervention Scalability Assessment Tool. Higher scores represented higher perceived scalability.

RESULTS

From 453 participants, the highest scoring healthy eating and physical activity interventions were 'providing healthy eating education and activities for children' (M43.05) (out of 50) and 'providing sufficient opportunities for child physical activity' (M41.43). The lowest scoring was 'providing families with lunchbox guidelines' (M38.99) and 'engaging families in activities to increase child physical activity' (M38.36). Services located in rural areas, compared to urban areas, scored the overall scalability of both healthy eating and physical activity interventions significantly lower.

CONCLUSIONS

Perceptions regarding the scalability of healthy eating and physical activity interventions in the ECEC setting vary according to service characteristics.

IMPLICATIONS FOR PUBLIC HEALTH

Findings identify where government investment and implementation efforts may be prioritised to facilitate scale-up. An investigation into the barriers and support required for lower-scoring interventions is warranted.

Implementation of healthy eating and physical activity practices in Australian early childhood education and care services: A cross-sectional study

Background

The monitoring of healthy eating and physical activity environments is recommended to support population health. Early childhood education and care (ECEC) services are a key setting to deliver obesity prevention strategies as they reach the majority of children aged under five years and have existing supporting infrastructure.

Objectives

The aim of this study was to i) describe the prevalence of implementation of evidence-based healthy eating and physical activity practices in an Australian sample of ECEC services, and ii) examine associations between implementation of practices and service characteristics.

Methods

A random sample of 2,100 centre-based ECEC services across Australia were invited to participate in a cross-sectional survey online or via telephone (August 2021-April 2022). Service characteristics and implementation of 18 evidence-based healthy eating and physical activity practices were assessed. Descriptive statistics and linear mixed regression analyses were performed.

Results

A total of 1,028 (51.8%) eligible services participated. The healthy eating and physical activity practices with the lowest prevalence of implementation were related to encouraging children to consume age-appropriate beverages (17.9%) and providing families with child physical activity education via workshops or meetings (14.6%), respectively. There was a statistically significant difference in the implementation of healthy eating practices by service characteristics, with long day care services implementing significantly more practices than preschools (p < 0.01).

Conclusion

There is room to improve the implementation of evidence-based healthy eating and physical activity practices ECEC services. Implementation efforts should be directed towards preschools.

Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years

BACKGROUND

Dietary intake during early childhood can have implications on child health and developmental trajectories. Early childhood education and care (ECEC) services are recommended settings to deliver healthy eating interventions as they provide access to many children during this important period. Healthy eating interventions delivered in ECEC settings can include strategies targeting the curriculum (e.g. nutrition education), ethos and environment (e.g. menu modification) and partnerships (e.g. workshops for families). Despite guidelines supporting the delivery of healthy eating interventions in this setting, little is known about their impact on child health.

OBJECTIVES

To assess the effectiveness of healthy eating interventions delivered in ECEC settings for improving dietary intake in children aged six months to six years, relative to usual care, no intervention or an alternative, non-dietary intervention. Secondary objectives were to assess the impact of ECEC-based healthy eating interventions on physical outcomes (e.g. child body mass index (BMI), weight, waist circumference), language and cognitive outcomes, social/emotional and quality-of-life outcomes. We also report on cost and adverse consequences of ECEC-based healthy eating interventions.

SEARCH METHODS

We searched eight electronic databases including CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, ERIC, Scopus and SportDiscus on 24 February 2022. We searched reference lists of included studies, reference lists of relevant systematic reviews, the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov and Google Scholar, and contacted authors of relevant papers.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster-RCTs, stepped-wedge RCTs, factorial RCTs, multiple baseline RCTs and randomised cross-over trials, of healthy eating interventions targeting children aged six months to six years that were conducted within the ECEC setting. ECEC settings included preschools, nurseries, kindergartens, long day care and family day care. To be included, studies had to include at least one intervention component targeting child diet within the ECEC setting and measure child dietary or physical outcomes, or both.

DATA COLLECTION AND ANALYSIS

Pairs of review authors independently screened titles and abstracts and extracted study data. We assessed risk of bias for all studies against 12 criteria within RoB 1, which allows for consideration of how selection, performance, attrition, publication and reporting biases impact outcomes. We resolved discrepancies via consensus or by consulting a third review author. Where we identified studies with suitable data and homogeneity, we performed meta-analyses using a random-effects model; otherwise, we described findings using vote-counting approaches and via harvest plots. For measures with similar metrics, we calculated mean differences (MDs) for continuous outcomes and risk ratios (RRs) for dichotomous outcomes. We calculated standardised mean differences (SMDs) for primary and secondary outcomes where studies used different measures. We applied GRADE to assess certainty of evidence for dietary, cost and adverse outcomes.

MAIN RESULTS

We included 52 studies that investigated 58 interventions (described across 96 articles). All studies were cluster-RCTs. Twenty-nine studies were large (≥ 400 participants) and 23 were small (< 400 participants). Of the 58 interventions, 43 targeted curriculum, 56 targeted ethos and environment, and 50 targeted partnerships. Thirty-eight interventions incorporated all three components. For the primary outcomes (dietary outcomes), we assessed 19 studies as overall high risk of bias, with performance and detection bias being most commonly judged as high risk of bias. ECEC-based healthy eating interventions versus usual practice or no intervention may have a positive effect on child diet quality (SMD 0.34, 95% confidence interval (CI) 0.04 to 0.65; P = 0.03, I2 = 91%; 6 studies, 1973 children) but the evidence is very uncertain. There is moderate-certainty evidence that ECEC-based healthy eating interventions likely increase children's consumption of fruit (SMD 0.11, 95% CI 0.04 to 0.18; P < 0.01, I2 = 0%; 11 studies, 2901 children). The evidence is very uncertain about the effect of ECEC-based healthy eating interventions on children's consumption of vegetables (SMD 0.12, 95% CI -0.01 to 0.25; P =0.08, I2 = 70%; 13 studies, 3335 children). There is moderate-certainty evidence that ECEC-based healthy eating interventions likely result in little to no difference in children's consumption of non-core (i.e. less healthy/discretionary) foods (SMD -0.05, 95% CI -0.17 to 0.08; P = 0.48, I2 = 16%; 7 studies, 1369 children) or consumption of sugar-sweetened beverages (SMD -0.10, 95% CI -0.34 to 0.14; P = 0.41, I2 = 45%; 3 studies, 522 children). Thirty-six studies measured BMI, BMI z-score, weight, overweight and obesity, or waist circumference, or a combination of some or all of these. ECEC-based healthy eating interventions may result in little to no difference in child BMI (MD -0.08, 95% CI -0.23 to 0.07; P = 0.30, I2 = 65%; 15 studies, 3932 children) or in child BMI z-score (MD -0.03, 95% CI -0.09 to 0.03; P = 0.36, I2 = 0%; 17 studies; 4766 children). ECEC-based healthy eating interventions may decrease child weight (MD -0.23, 95% CI -0.49 to 0.03; P = 0.09, I2 = 0%; 9 studies, 2071 children) and risk of overweight and obesity (RR 0.81, 95% CI 0.65 to 1.01; P = 0.07, I2 = 0%; 5 studies, 1070 children). ECEC-based healthy eating interventions may be cost-effective but the evidence is very uncertain (6 studies). ECEC-based healthy eating interventions may have little to no effect on adverse consequences but the evidence is very uncertain (3 studies). Few studies measured language and cognitive skills (n = 2), social/emotional outcomes (n = 2) and quality of life (n = 3).

AUTHORS' CONCLUSIONS

ECEC-based healthy eating interventions may improve child diet quality slightly, but the evidence is very uncertain, and likely increase child fruit consumption slightly. There is uncertainty about the effect of ECEC-based healthy eating interventions on vegetable consumption. ECEC-based healthy eating interventions may result in little to no difference in child consumption of non-core foods and sugar-sweetened beverages. Healthy eating interventions could have favourable effects on child weight and risk of overweight and obesity, although there was little to no difference in BMI and BMI z-scores. Future studies exploring the impact of specific intervention components, and describing cost-effectiveness and adverse outcomes are needed to better understand how to maximise the impact of ECEC-based healthy eating interventions.

Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years

BACKGROUND

Dietary intake during early childhood can have implications on child health and developmental trajectories. Early childhood education and care (ECEC) services are recommended settings to deliver healthy eating interventions as they provide access to many children during this important period. Healthy eating interventions delivered in ECEC settings can include strategies targeting the curriculum (e.g. nutrition education), ethos and environment (e.g. menu modification) and partnerships (e.g. workshops for families). Despite guidelines supporting the delivery of healthy eating interventions in this setting, little is known about their impact on child health.

OBJECTIVES

To assess the effectiveness of healthy eating interventions delivered in ECEC settings for improving dietary intake in children aged six months to six years, relative to usual care, no intervention or an alternative, non-dietary intervention. Secondary objectives were to assess the impact of ECEC-based healthy eating interventions on physical outcomes (e.g. child body mass index (BMI), weight, waist circumference), language and cognitive outcomes, social/emotional and quality-of-life outcomes. We also report on cost and adverse consequences of ECEC-based healthy eating interventions.

SEARCH METHODS

We searched eight electronic databases including CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, ERIC, Scopus and SportDiscus on 24 February 2022. We searched reference lists of included studies, reference lists of relevant systematic reviews, the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov and Google Scholar, and contacted authors of relevant papers.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster-RCTs, stepped-wedge RCTs, factorial RCTs, multiple baseline RCTs and randomised cross-over trials, of healthy eating interventions targeting children aged six months to six years that were conducted within the ECEC setting. ECEC settings included preschools, nurseries, kindergartens, long day care and family day care. To be included, studies had to include at least one intervention component targeting child diet within the ECEC setting and measure child dietary or physical outcomes, or both.

DATA COLLECTION AND ANALYSIS

Pairs of review authors independently screened titles and abstracts and extracted study data. We assessed risk of bias for all studies against 12 criteria within RoB 1, which allows for consideration of how selection, performance, attrition, publication and reporting biases impact outcomes. We resolved discrepancies via consensus or by consulting a third review author. Where we identified studies with suitable data and homogeneity, we performed meta-analyses using a random-effects model; otherwise, we described findings using vote-counting approaches and via harvest plots. For measures with similar metrics, we calculated mean differences (MDs) for continuous outcomes and risk ratios (RRs) for dichotomous outcomes. We calculated standardised mean differences (SMDs) for primary and secondary outcomes where studies used different measures. We applied GRADE to assess certainty of evidence for dietary, cost and adverse outcomes.  MAIN RESULTS: We included 52 studies that investigated 58 interventions (described across 96 articles). All studies were cluster-RCTs. Twenty-nine studies were large (≥ 400 participants) and 23 were small (< 400 participants). Of the 58 interventions, 43 targeted curriculum, 56 targeted ethos and environment, and 50 targeted partnerships. Thirty-eight interventions incorporated all three components. For the primary outcomes (dietary outcomes), we assessed 19 studies as overall high risk of bias, with performance and detection bias being most commonly judged as high risk of bias. ECEC-based healthy eating interventions versus usual practice or no intervention may have a positive effect on child diet quality (SMD 0.34, 95% confidence interval (CI) 0.04 to 0.65; P = 0.03, I2 = 91%; 6 studies, 1973 children) but the evidence is very uncertain. There is moderate-certainty evidence that ECEC-based healthy eating interventions likely increase children's consumption of fruit (SMD 0.11, 95% CI 0.04 to 0.18; P < 0.01, I2 = 0%; 11 studies, 2901 children). The evidence is very uncertain about the effect of ECEC-based healthy eating interventions on children's consumption of vegetables (SMD 0.12, 95% CI -0.01 to 0.25; P =0.08, I2 = 70%; 13 studies, 3335 children). There is moderate-certainty evidence that ECEC-based healthy eating interventions likely result in little to no difference in children's consumption of non-core (i.e. less healthy/discretionary) foods (SMD -0.05, 95% CI -0.17 to 0.08; P = 0.48, I2 = 16%; 7 studies, 1369 children) or consumption of sugar-sweetened beverages (SMD -0.10, 95% CI -0.34 to 0.14; P = 0.41, I2 = 45%; 3 studies, 522 children). Thirty-six studies measured BMI, BMI z-score, weight, overweight and obesity, or waist circumference, or a combination of some or all of these. ECEC-based healthy eating interventions may result in little to no difference in child BMI (MD -0.08, 95% CI -0.23 to 0.07; P = 0.30, I2 = 65%; 15 studies, 3932 children) or in child BMI z-score (MD -0.03, 95% CI -0.09 to 0.03; P = 0.36, I2 = 0%; 17 studies; 4766 children). ECEC-based healthy eating interventions may decrease child weight (MD -0.23, 95% CI -0.49 to 0.03; P = 0.09, I2 = 0%; 9 studies, 2071 children) and risk of overweight and obesity (RR 0.81, 95% CI 0.65 to 1.01; P = 0.07, I2 = 0%; 5 studies, 1070 children). ECEC-based healthy eating interventions may be cost-effective but the evidence is very uncertain (6 studies). ECEC-based healthy eating interventions may have little to no effect on adverse consequences but the evidence is very uncertain (3 studies). Few studies measured language and cognitive skills (n = 2), social/emotional outcomes (n = 2) and quality of life (n = 3).

AUTHORS' CONCLUSIONS

ECEC-based healthy eating interventions may improve child diet quality slightly, but the evidence is very uncertain, and likely increase child fruit consumption slightly. There is uncertainty about the effect of ECEC-based healthy eating interventions on vegetable consumption. ECEC-based healthy eating interventions may result in little to no difference in child consumption of non-core foods and sugar-sweetened beverages. Healthy eating interventions could have favourable effects on child weight and risk of overweight and obesity, although there was little to no difference in BMI and BMI z-scores. Future studies exploring the impact of specific intervention components, and describing cost-effectiveness and adverse outcomes are needed to better understand how to maximise the impact of ECEC-based healthy eating interventions.

Does an active play standard change childcare physical activity and healthy eating policies? A natural policy experiment

Background

In 2017, the provincial government of British Columbia (BC) implemented a mandatory policy outlining Active Play Standards (AP Standards) to increase physical activity (PA) levels, sedentary and motor skills among children attending licensed childcare centers. Concurrently, a capacity-building initiative was launched to help implement policies and practices supporting both PA and healthy eating (HE) in the early years. This study evaluated differences in center-level PA and HE policies and practices before and after the enforcement of the new provincial AP Standards.

Methods

Using a repeat cross-sectional design, surveys were distributed to managers and staff of licensed childcare facilities serving children aged 2–5 years before (2016–2017 or ‘time 1’) and after (2018–2019 or ‘time 2’) implementation of the AP Standards across BC. The total sample included 1,459 respondents (910 and 549 respondents at time 1 and time 2, respectively). Hierarchical mixed effects models were used to examine differences in 9 and 7 PA/sedentary policies and practices, respectively, as well as 11 HE policies between time 1 and time 2. Models controlled for childcare size and area-level population size, education, and income.

Results

Compared to centers surveyed at time 1, centers at time 2 were more likely to report written policies related to: fundamental movement skills, total amount of Active Play (AP) time, staff-led AP, unfacilitated play/free play, total amount of outdoor AP time, limiting screen time, breaking up prolonged sitting, staff role modeling of PA, and training staff about PA (P < 0.01 for all 9 policies examined). Compared to time 1, centers at time 2 reported more frequent practices related to ensuring children engaged in at least 120 min of AP, 60 min of outdoor AP daily, and limiting screen time (P < 0.01 for 3 out of 7 practices examined). Despite no additional policy intervention related to HE, centers were more likely to report having written policies related to: HE education for children, encouraging new foods, having family-style meals, offering only milk or water, limiting the amount of juice served, staff role modeling of HE, limiting the types of foods at parties/celebrations and foods brought from home (P < 0.05 for 9 out of 11 HE policies).

Conclusion

Approximately a year after the implementation of a governmental policy targeting PA supported by a capacity-building initiative, childcare centers reported positive changes in all 9 PA/sedentary policies examined, all 3 out of 7 PA/sedentary practices and 9 out of 11 HE policies evaluated at the center-level.

Barriers and Enablers to Adoption of Digital Health Interventions to Support the Implementation of Dietary Guidelines in Early Childhood Education and Care: Cross-Sectional Study

BACKGROUND

Few Australian childcare centers provide foods consistent with sector dietary guidelines. Digital health technologies are a promising medium to improve the implementation of evidence-based guidelines in the setting. Despite being widely accessible, the population-level impact of such technologies has been limited due to the lack of adoption by end users.

OBJECTIVE

This study aimed to assess in a national sample of Australian childcare centers (1) intentions to adopt digital health interventions to support the implementation of dietary guidelines, (2) reported barriers and enablers to the adoption of digital health interventions in the setting, and (3) barriers and enablers associated with high intentions to adopt digital health interventions.

METHODS

A cross-sectional telephone or online survey was undertaken with 407 childcare centers randomly sampled from a publicly available national register in 2018. Center intentions to adopt new digital health interventions to support dietary guideline implementation in the sector were assessed, in addition to perceived individual, organizational, and contextual factors that may influence adoption based on seven subdomains within the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) of health and care technologies framework. A multiple-variable linear model was used to identify factors associated with high intentions to adopt digital health interventions.

RESULTS

Findings indicate that 58.9% (229/389) of childcare centers have high intentions to adopt a digital health intervention to support guideline implementation. The changes needed in team interactions subdomain scored lowest, which is indicative of a potential barrier (mean 3.52, SD 1.30), with organization's capacity to innovate scoring highest, which is indicative of a potential enabler (mean 5.25, SD 1.00). The two NASSS subdomains of ease of the adoption decision (P<.001) and identifying work and individuals involved in implementation (P=.001) were significantly associated with high intentions to adopt digital health interventions.

CONCLUSIONS

A substantial proportion of Australian childcare centers have high intentions to adopt new digital health interventions to support dietary guideline implementation. Given evidence of the effectiveness of digital health interventions, these findings suggest that such an intervention may make an important contribution to improving public health nutrition in early childhood.

Implementation of an Early Childhood Healthy Eating and Physical Activity Program in New South Wales, Australia: Munch & Move

Background: Childhood obesity is an important public health issue. Approximately 20% of 2-4 year olds are overweight or obese, meaning 1 in 5 Australian children start school above a healthy weight. In the state of New South Wales (NSW) the combined prevalence of childhood overweight and obesity is significantly higher among children from low socioeconomic status backgrounds and children from regional, rural and remote areas. This paper describes implementation of a healthy eating and active play program (Munch & Move) for center-based early childhood education and care (ECEC) services aimed at influencing healthy behaviors in young children in NSW, Australia. It shows changes over time including a focus on disadvantaged, Aboriginal and remote communities. It also discusses the challenges and future opportunities for the program. Methods: Routine data in relation to service delivery (reach) and implementation indicators are collected by Local Health District staff. Fifteen implementation indicators (known as practices) were introduced to monitor the implementation of Munch & Move (six related to promoting and encouraging healthy eating, four related to improving physical activity, two related to small screen recreation; and three related to quality of service delivery). Results: As of 30 June 2017, 88.4% of ECEC services have staff trained in Munch & Move. Of the 15 practices related to promoting and encouraging healthy eating, increasing physical activity and improving the quality of service delivery 13 practices saw significant improvements between 2012 and 2017. This was consistent for services with a high proportion of Aboriginal children and for services in disadvantaged and remote communities. There has been a statistically significant increase in the proportion (37.6-81.0%, p < 0.0001) and type of ECEC services (preschools 36.1-81.3%, p < 0.0001, long day care 38.6-81.0%, p < 0.0001, and occasional care 34.0-74.6%, p < 0.0001) that have implemented the program since 2012 as well as in services with a high proportion of Aboriginal children (33.6-85.2% p < 0.0001), services in disadvantaged communities (37.4-83.3% p < 0.001), and services in remote communities (27.8-59.4% p < 0.0139). Discussion: This paper demonstrates that Munch & Move has seen large improvements in the delivery of training, practice achievements and program adoption in ECEC services across NSW including services in disadvantaged and remote communities and that have a higher proportion of Aboriginal children.

Barriers to and Facilitators of the Implementation of Environmental Recommendations to Encourage Physical Activity in Center-Based Childcare Services: A Systematic Review

BACKGROUND

Identifying factors influencing the implementation of evidence-based environmental recommendations to promote physical activity in childcare services is required to develop effective implementation strategies. This systematic review aimed to: (1) identify barriers and facilitators reported by center-based childcare services impacting the implementation of environmental recommendations to increase physical activity among children, (2) synthesize these factors according to the 14 domains of the "Theoretical Domains Framework," and (3) report any associations between service or provider characteristics and the reported implementation of such recommendations.

METHODS

Electronic searches were conducted in 6 scientific databases (eg, MEDLINE) and Google Scholar to identify studies reporting data from childcare staff or other stakeholders responsible for childcare operations. Included studies were based on childcare settings and published in English. From 2164 identified citations, 19 articles met the inclusion criteria (11 qualitative, 4 quantitative, and 4 mixed methods).

RESULTS

Across all articles, the majority of factors impacting implementation fell into the "environmental context and resources" domain (eg, time, equipment, and space; n = 19) and the "social influences" domain (eg, support from parents, colleagues, supervisors; n = 11).

CONCLUSION

The current review provides guidance to improve the implementation of environmental recommendations in childcare services by addressing environmental, resource, and social barriers.

Implementation of policies and practices to increase physical activity among children attending centre-based childcare: A cross-sectional study

ISSUE ADDRESSED

Supporting centre-based childcare services to create physical activity (PA) environments is a recommended strategy to improve child PA. This study aimed to describe the implementation of PA policies and practices by these services, and to examine the associations with service characteristics.

METHODS

Nominated supervisors of childcare services (n = 309) in the Hunter New England region, New South Wales, Australia, completed a telephone interview. Using previously validated measures, the interview assessed the implementation of evidence-based practices shown to be associated with child PA. This includes: (a) provision of active play opportunities, (b) portable play equipment availability, (c) delivery of daily fundamental movement skills, (d) having at least 50% of staff trained in promoting child PA the past 5 years and (e) having written PA and small screen recreation policies.

RESULTS

Although 98% (95% CI 96, 99) of childcare services provided active play opportunities for at least 25% of their daily opening hours, only 8% (95% CI 5, 11) of services fully implemented all policies and practices; with no service characteristic associated with full implementation. Long day care service had twice the odds of having a written PA policy (OR 2.0, 95% CI 0.7, 5.8), compared to preschools (adjusted for service size, socio-economic disadvantage and geographical location).

CONCLUSIONS

Improvements could be made to childcare services' operations to support the promotion of child PA. SO WHAT?: To ensure the benefits to child health, childcare services require support to implement a number of PA promoting policies and practices that are known to improve child PA.

A randomised controlled trial of performance review and facilitated feedback to increase implementation of healthy eating and physical activity-promoting policies and practices in centre-based childcare

BACKGROUND

While it is recommended that childcare services implement policies and practices to support obesity prevention, there remains limited evidence to inform policy and practice. The aim of this study is to examine the effectiveness of performance review and facilitated feedback in increasing the implementation of healthy eating and physical activity-promoting policies and practices in childcare services.

METHODS

The study was conducted with childcare services in the Hunter New England region of New South Wales, Australia. Eligible services were randomised to a wait-list control group or to receive the implementation strategy. The strategy targeted the implementation of written nutrition, physical activity, and small screen recreation policies; providing information to families regarding healthy eating, physical activity, and small screen time; providing twice weekly healthy eating learning experiences to children; providing water and plain milk only to children; providing fundamental movement skills activities for children every day; and limiting the use of electronic screen time for educational purposes and learning experiences. Intervention services received a performance review and facilitated feedback process five times over the 10 months that included an assessment of current practices, goal setting, identification of barriers to implementation, problem-solving, and resource provision. The primary outcome was the proportion of services implementing all six policies and practices, assessed by nominated supervisor completion of a computer-assisted telephone interview at baseline and 12-month follow-up.

RESULTS

One hundred and eight services took part. There were no significant differences in the proportion of services implementing all six practices at 12 months (mean difference 0.51; 95% CI 0.16 to 1.58; p = 0.24). There were also no differences between groups in the mean number of policies and practices implemented (mean difference 0.1; 95% CI - 0.4 to 0.6; p = 0.71), or the proportion implementing each of the six individual policies and practices at 12 months (OR range 0.57 to 1.85; p > 0.05).

CONCLUSIONS

Further support may be required to assist childcare services to make recommended changes to their policies and practices.

TRIAL REGISTRATION

The trial was registered retrospectively on 10 September 2014 with the Australian New Zealand Clinical Trials Registry ACTRN12614000972628 .

A randomised controlled trial of an online menu planning intervention to improve childcare service adherence to dietary guidelines: a study protocol

INTRODUCTION

The implementation of dietary guidelines in childcare settings is recommended to improve child public health nutrition. However, foods provided in childcare services are not consistent with guidelines. The primary aim of the trial is 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 regarding food provision to children in care.

METHODS AND ANALYSIS

A parallel group randomised controlled trial will be undertaken with 54 childcare services that provide food to children within New South Wales, Australia. Services will be randomised to a 12-month intervention or usual care. The experimental group will receive access to a web-based menu planning and decision support tool and online resources. To support uptake of the web program, services will be provided with training and follow-up support. The primary outcome will be the number of food groups, out of 6 (vegetables, fruit, breads and cereals, meat, dairy and 'discretionary'), on the menu that meet dietary guidelines (Caring for Children) across a 1-week menu at 12-month follow-up, assessed via menu review by dietitians or nutritionists blinded to group allocation. A nested evaluation of child dietary intake in care and child body mass index will be undertaken in up to 35 randomly selected childcare services and up to 420 children aged approximately 3-6 years.

ETHICS AND DISSEMINATION

Ethical approval has been provided by Hunter New England and University of Newcastle Human Research Ethics Committees. This research will provide high-quality evidence regarding the impact of a web-based menu planning intervention in facilitating the translation of dietary guidelines into childcare services. Trial findings will be disseminated widely through national and international peer-reviewed publications and conference presentations.

TRIAL REGISTRATION

Prospectively registered with Australian New Zealand Clinical Trial Registry (ANZCTR) ACTRN12616000974404.