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.
Background: Bespoke electronic information management systems are being used for large-scale implementation delivery of population health programs. They record sites reached, coordinate activity, and track target achievement. However, many systems have been abandoned or failed to integrate into practice. We investigated the unusual endurance of an electronic information management system that has supported the successful statewide implementation of two evidence-based childhood obesity prevention programs for over 5 years. Upwards of 80% of implementation targets are being achieved. Methods: We undertook co-designed partnership research with policymakers, practitioners, and IT designers. Our working hypothesis was that the science of getting evidence-based programs into practice rests on an in-depth understanding of the role programs play in the ongoing system of local relationships and multiple accountabilities. We conducted a 12-month multisite ethnography of 14 implementation teams, including their use of an electronic information management system, the Population Health Information Management System (PHIMS). Results: All teams used PHIMS, but also drew on additional informal tools and technologies to manage, curate, and store critical information for implementation. We identified six functions these tools performed: (1) relationship management, (2) monitoring progress towards target achievement, (3) guiding and troubleshooting PHIMS use, (4) supporting teamwork, (5) evaluation, and (6) recording extra work at sites not related to program implementation. Informal tools enabled practitioners to create locally derived implementation knowledge and provided a conduit between knowledge generation and entry into PHIMS. Conclusions: Implementation involves knowing and formalizing what to do, as well as how to do it. Our ethnography revealed the importance of hitherto uncharted knowledge about how practitioners develop implementation knowledge about how to do implementation locally, within the context of scaling up. Harnessing this knowledge for local use required adaptive and flexible systems which were enabled by informal tools and technologies. The use of informal tools also complemented and supported PHIMS use suggesting that both informal and standardized systems are required to support coordinated, large-scale implementation. While the content of the supplementary knowledge required to deliver the program was specific to context, functions like managing relationships with sites and helping others in the team may be applicable elsewhere.
27 September 2018 in Public Health Research and Practice
Introduction: Childhood obesity prevalence is an issue of international public health concern and governments have a significant role to play in its reduction. The Healthy Children Initiative (HCI) has been delivered in New South Wales (NSW), Australia, since 2011 to support implementation of childhood obesity prevention programs at scale. Consequently, a system to support local implementation and data collection, analysis and reporting at local and state levels was necessary. The Population Health Information Management System (PHIMS) was developed to meet this need. Design and development: A collaborative and iterative process was applied to the design and development of the system. The process comprised identifying technical requirements, building system infrastructure, delivering training, deploying the system and implementing quality measures. Use of PHIMS: Implementation of PHIMS resulted in rapid data retrieval and reporting against agreed performance measures for the HCI. The system has 150 users who account for the monitoring and reporting of more than 6000 HCI intervention sites (early childhood services and primary schools). Lessons learnt: Developing and implementing PHIMS presented a number of complexities including: applying an information technology (IT) development methodology to a traditional health promotion setting; data access and confidentiality issues; and managing system development and deployment to intended timelines and budget. PHIMS was successfully codesigned as a flexible, scalable and sustainable IT solution that supports state-wide HCI program implementation, monitoring and reporting.
This translation study assessed the effectiveness of two remotely delivered healthy eating and active living interventions for parents of 2- to 6-year-old children in improving child fruit and vegetable intake, non-core food intake, body mass index (BMI), physical activity, screen time, and sleep. Parents (n = 458) were recruited to a partially randomised preference trial comprising three intervention groups. Healthy Habits Plus comprised six telephone calls, Time2bHealthy comprised six online modules, and the active control comprised ten information sheets and a summary booklet. Data were collected from parents via a telephone questionnaire at baseline and nine months post-baseline. Data were analysed for randomised participants alone (n = 240), preference participants alone (n = 218), and all participants combined (n = 458). There was no significant improvement in fruit and vegetable intake (primary outcome) when comparing the telephone and online interventions to the control. In both the randomised only and all participants combined analyses, there was a significant improvement in non-core food intake for the telephone intervention compared to the control (p < 0.001). Differences between interventions for other outcomes were small. In conclusion, the telephone and online interventions did not improve child fruit and vegetable intake relative to written materials, but the telephone intervention did improve non-core food intake.
Healthy eating and active living interventions targeting parents of young children could have benefits for both children and parents. The aim of this study was to assess the effectiveness of two remotely delivered healthy eating and active living interventions delivered at scale to parents, in increasing parent vegetable and fruit consumption (pre-specified secondary outcomes). Parents of children aged 2–6 years residing in New South Wales, Australia (n = 458), were recruited to a partially randomized preference trial consisting of three groups (telephone intervention (n = 95); online intervention (n = 218); written material (Control) (n = 145)). This design allowed parents with a strong preference to select their preferred intervention, and once preference trends had been established, all parents that were subsequently recruited were randomized to obtain robust relative effects. Parent vegetable and fruit consumption was assessed via telephone interview at baseline and 9 months later. At follow-up, randomized parents who received the telephone intervention (n = 73) had significantly higher vegetable consumption compared to those who received the written control (n = 81) (+0.41 serves/day, p = 0.04), but there were no differences in parents allocated to intervention groups based on preference. No differences in fruit consumption were found for randomized or preference participants for either the telephone or online intervention. There may be some benefit to parents participating in the Healthy Habits Plus (telephone-based) intervention aimed at improving the eating behaviors of their children.
A number of ways to conduct research are designed to maximise the likelihood that evidence from research is quickly transferred into practice. This includes action research and partnership research between researchers and policy makers. Such approaches focus research effort on questions of highest relevance to practice and policy so as to create ownership of the results. However, such approaches on their own do not necessarily visualise or illuminate possible pathways of action or create a sense of personal connection to these possible actions. We describe a simple, creative, innovative device: production of co-authored mock (that is, fake) in-house abstracts of peer-reviewed papers as an aid in this process. The intent is to foster high-level engagement with possible project findings by policy makers and researchers involved in partnership research. This occurs in advance of knowing the real results of the study. The mock abstracts process described here occurs within a research-policy maker-practitioner partnership studying the scaling-up of childhood statewide obesity prevention programmes and the electronic monitoring system being used to track progress. The mock abstracts are a tool for identifying priority interests among a large data set. They act as a trigger to uncovering different interpretations of findings among the team. They foster discussion and mental rehearsal of actions based on different scenarios. And they help the team coordinate participation in the analysis and writing-up of the real findings. They also represent a hypothetical variety of research endpoints which assist with maintaining project momentum during long phases of analysis. key messages Mock abstracts with mock (fake) results can be written in advance of research findings. The purpose is to reduce the evidence-to-practice gap by rehearsing both interpretation and action. Mock abstracts can be used to illustrate the role of theory in interpreting research findings. Potentially sensitive findings can be defused by illustrating pathways to address problems.