Citizen science as a vehicle to address multiple policy objectives: Case studies from Australia.

ISSUE ADDRESSED: Despite increasing interest in citizen science as an approach to engage members of the public in research and decision making about health and wellbeing, there is a lack of practical evidence to guide policy and practice organisations to utilise these approaches. In this study we investigated how and why citizen science came to be incorporated into the work of two policy organisations. METHODS: We offer two in-depth case studies of Australian government organisations which have utilised citizen science in environmental and healthy ageing policy. Interviews with organisational informants and relevant documents were analysed inductively to explore how citizen science came to be adopted, legitimised and supported. RESULTS: Citizen science was utilised to address multiple organisational objectives, including increasing community participation in science; enhancing individuals' wellbeing, learning, and skills, and generating data to support research and policy in a relatively cost-effective manner. In both cases, grant funding was a mechanism to support citizen science, with project delivery facilitated through academic-policy partnerships and led by external academic or community partners. CONCLUSION: Although citizen science is relatively new in policy and practice settings, this study underscores the value of these approaches in realising co-benefits for organisations, academics, and community members. The support and advocacy of senior managers as 'champions', and a willingness to invest in trialling new approaches to address policy problems are necessary ingredients to foster acceptance and legitimacy of citizen science. SO WHAT?: Citizen science initiatives can be strategically utilised by health promotion organisations to enact priorities related to genuine community involvement, support research and innovation and facilitate collaboration and partnerships between academic, policy and community stakeholders.

A mixed methods evaluation of Quit for new life, a smoking cessation initiative for women having an Aboriginal baby.

BACKGROUND: Quit for new life (QFNL) is a smoking cessation initiative developed to support mothers of Aboriginal babies to quit smoking during pregnancy. The state-wide initiative provides support for pregnant women and their households including free nicotine replacement therapy (NRT) and follow up cessation advice. Services are also supported to implement systems-level changes and integrate QFNL into routine care. This study aimed to evaluate: (1) models of implementation of QFNL; (2) the uptake of QFNL; (3) the impact of QFNL on smoking behaviours; and (4) stakeholder perceptions of the initiative. METHODS: A mixed methods study was conducted comprising semi-structured interviews and analysis of routinely collected data. Interviews were conducted with 6 clients and 35 stakeholders involved in program implementation. Data were analysed using inductive content analysis. Aboriginal Maternal and Infant Health Service Data Collection (AMDC) records for the period July 2012-June 2015 were investigated to examine how many eligible women attended a service implementing QFNL and how many women took up a QFNL support. Smoking cessation rates were compared in women attending a service offering QFNL with women attending the same service prior to the implementation of QFNL to determine program impact. RESULTS: QFNL was implemented in 70 services located in 13 LHDs across New South Wales. Over 430 staff attended QFNL training, including 101 staff in Aboriginal-identified roles. In the period July 2012-June 2015 27% (n = 1549) of eligible women attended a service implementing QFNL and 21% (n = 320) of these were recorded as taking up a QFNL support. While stakeholders shared stories of success, no statistically significant impact of QFNL on smoking cessation rates was identified (N = 3502; Odds ratio (OR) = 1.28; 95% Confidence Interval (CI) = 0.96-1.70; p-value = 0.0905). QFNL was acceptable to both clients and stakeholders, increased awareness about smoking cessation, and gave staff resources to support clients. CONCLUSION: QFNL was perceived as acceptable by stakeholders and clients and provided care providers with knowledge and tangible support to offer women who presented at antenatal care as smokers, however, no statistically significant impact on rates of smoking cessation were found using the measures available.

The case for citizen science in public health policy and practice: a mixed methods study of policymaker and practitioner perspectives and experiences.

BACKGROUND: Citizen science (CS) is increasingly being utilised to involve the public in public health research, but little is known about whether and how CS can address the needs of policy and practice stakeholders in health promotion and chronic disease prevention. METHODS: Using a mixed methods approach we conducted an online survey (n = 83) and semi-structured interviews (n = 21) with policy and practice stakeholders across Australia to explore how CS approaches are perceived and applied in chronic disease prevention, how CS aligns with existing approaches to community engagement, and how the uptake of CS can be supported within policy and practice settings. RESULTS: Most participants had heard of CS, and while few had experience of using CS, there was widespread support for this approach, with many seeing it as complementary to other community engagement approaches. CS was seen as providing: (a) a robust framework for engagement; (b) access to rich data; (c) opportunities for more meaningful engagement; and (d) a mutually beneficial approach for stakeholders and community members. However, stakeholders identified a need to weigh benefits against potential risks and challenges including competing organisational priorities, resourcing and expertise, data quality and rigour, governance, and engagement. CONCLUSIONS: To expand the use of CS, stakeholders identified the need for increased awareness, acceptance, and capacity for CS within public health organisations, greater access to supporting tools and technology, and evidence on processes, feasibility and impacts to enhance the visibility and legitimacy of CS approaches.

Changes in Australian community perceptions of non-communicable disease prevention: a greater role for government?

BACKGROUND: Monitoring trends in community opinion can identify critical opportunities to implement upstream health policies or interventions. Our study examines change and demographic modifiers of change in community perceptions of government intervention for prevention of lifestyle-related chronic disease across two time points in Australia. METHODS: Data were drawn from the 2016 (n = 2052) and 2018 (n = 2601) waves of a nationally representative cross-sectional telephone survey, 'AUSPOPS'. Survey questions gauged perceptions of government intervention for health in general, peoples'/organizations' role in maintaining health (e.g., parents, government) and support for specific health interventions (e.g., taxing soft drink). Bivariate and multivariate regression models tested for change between the two surveys, adjusted for demographic characteristics. Models with interactions between survey wave and demographic variables tested for differential change. One-tailed variance ratio tests examined whether opinions had become more polarized in 2018 compared with 2016. RESULTS: The large, significant increase observed in the perceived size of the role that government has in maintaining people's health was uniform across demographic subpopulations. The role for employers and private health insurers was also perceived to be larger in 2018 compared with 2016, but the degree of change varied by gender, age and/or socioeconomic status. Support for some government interventions (e.g., taxing soft drinks) increased among specific demographic subgroups whilst exhibiting no overall change. Opinion was more polarized on general attitudes to government intervention for population health in 2018 compared to 2016, despite little change in central tendency. CONCLUSIONS: Opportunities may exist to implement government health-promoting policies (e.g., taxing soft drinks), although advocacy may be needed to address the concerns of less supportive subpopulations. Attitudes on government intervention in general may be becoming more polarized; future research examining the association of such changes with exposure to different information sources could inform communication strategies for future health policy change.

The Weight of Words: Co-Analysis of Thick Ethnographic Description and "Friction" as Methodological Strategies in a Health Policy Research Partnership.

Co-production partnerships between policymakers, practitioners, and researchers are designed to facilitate production of relevant and readily usable research in health policy and practice contexts. We describe methodological strategies for in-depth collaborative analysis based on a co-produced ethnography of health promotion practice, involving ethnographic researchers and government-based research partners. We draw on a co-production dialogue to reflect critically on the role and value of co-analyzing research findings using thick ethnographic descriptions. The ambiguity of ethnographic imagery allowed flexibility in interpretation of findings and also generated friction. Specific ethnographic images became focal points for productive friction that crystallized ethical and analytical imperatives underpinning the diverse expertise in the team. To make the most of co-analysis of thick ethnographic descriptions, we assert that friction points must be reflexively considered as key learning opportunities for (a) higher order analysis informed by diverse analytical perspectives and (b) more cohesive and useful interpretations of research findings.

Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data.

BACKGROUND: There is a pressing need for policy makers to demonstrate progress made on investments in prevention, but few examples of monitoring systems capable of tracking population-level prevention policies and programs and their implementation. In New South Wales, Australia, the scale up of childhood obesity prevention programs to over 6000 childcare centres and primary schools is monitored via an electronic monitoring system, "PHIMS". METHODS: Via a focussed ethnography with all 14 health promotion implementation teams in the state, we set out to explore what aspects of program implementation are captured via PHIMS, what aspects are not, and the implications for future IT implementation monitoring systems as a result. RESULTS: Practitioners perform a range of activities in the context of delivering obesity prevention programs, but only specific activities are captured via PHIMS. PHIMS thereby defines and standardises certain activities, while non-captured activities can be considered as "extra" work by practitioners. The achievement of implementation targets is influenced by multi-level contextual factors, with only some of the factors accounted for in PHIMS. This evidences incongruencies between work done, recorded and, therefore, recognised. CONCLUSIONS: While monitoring systems cannot and should not capture every aspect of implementation, better accounting for aspects of context and "extra" work involved in program implementation could help illuminate why implementation succeeds or fails. Failure to do so may result in policy makers drawing false conclusions about what is required to achieve implementation targets. Practitioners, as experts of context, are well placed to assist policy makers to develop accurate and meaningful implementation targets and approaches to monitoring.

Key Performance Indicators for program scale-up and divergent practice styles: a study from NSW, Australia.

Implementing programs at scale has become a vital part of the government response to the continuing childhood obesity epidemic. We are studying the largest ever scale-up of school and child care obesity prevention programs in Australia. Health promotion teams support primary schools and early childhood services in their area to achieve a number of specified, evidence-based practices aimed at organizational changes to improve healthy eating and physical activity. Key performance indicators (KPIs) were devised to track program uptake across different areas-measuring both the proportion of schools and early childhood services reached and the proportion of practices achieved in each setting (i.e. the proportion of sites implementing programs as planned). Using a 'tight-loose-tight' model, all local health districts receive funding and are held accountable to reaching KPI implementation targets. However, local teams have independent discretion over how to best use funds to reach targets. Based on 12 months of ethnographic fieldwork and interviews across all districts, this study examines variations in the decision making and strategizing processes of the health promotion teams. We identified three distinct styles of practice: KPI-driven practice (strategic, focussed on targets); relationship-driven practice (focussed on long-term goals); and equity-driven practice (directing resources to sites most in need). In adapting to KPIs, teams make trade-offs and choices. Some teams struggled to balance a moral imperative to attend to equity issues, with a practical need to meet implementation targets. We discuss how models of program scale-up and tracking could possibly evolve to recognize this complexity.

The impact of a community-led program promoting weight loss and healthy living in Aboriginal communities: the New South Wales Knockout Health Challenge.

BACKGROUND: Aboriginal people in Australia experience significant health burden from chronic disease. There has been limited research to identify effective healthy lifestyle programs to address risk factors for chronic disease among Aboriginal people. METHODS: The Knockout Health Challenge is a community-led healthy lifestyle program for Aboriginal communities across New South Wales, Australia. An evaluation of the 2013 Knockout Health Challenge was undertaken. Participants' self-reported physical activity and diet were measured at four time points - at the start and end of the Challenge (via paper form), and 5 and 9 months after the Challenge (via telephone survey). Participants' weight was measured objectively at the start and end of the Challenge, and self-reported (via telephone survey) 5 and 9 months after the Challenge. Changes in body composition, physical activity and diet between time points were analysed using linear mixed models. As part of the telephone survey participants were also asked to identify other impacts of the Challenge; these were analysed descriptively (quantitative items) and thematically (qualitative items). RESULTS: A total of 586 people registered in 22 teams to participate in the Challenge. The mean weight at the start was 98.54kg (SD 22.4), and 94% of participants were overweight or obese. Among participants who provided data at all four time points (n=122), the mean weight loss from the start to the end of the Challenge was 2.3kg (95%CI -3.0 to -1.9, p<0.001), and from the start to 9 months after the Challenge was 2.3kg (95%CI -3.3 to -1.3, p<0.001). Body mass index decreased by an average of 0.9kg/m2 (95%CI -1.0 to -0.7, p<0.001) from the start to the end of the Challenge, and 0.8kg/m2 (95%CI -1.2 to -0.4, p<0.001) 9 months after. At the end of the Challenge, participants reported they were more physically active and had increased fruit and vegetable consumption compared with the start of the Challenge, and identified a range of other positive impacts. CONCLUSIONS: The Challenge was effective in reducing weight and promoting healthy lifestyles among Aboriginal people across New South Wales, and has potential to contribute to closing the health gap between Aboriginal and non-Aboriginal people.

Scale-up of prevention programmes: sustained state-wide use of programme delivery software is explained by normalised self-organised adoption and non-adoption.

BACKGROUND: Population-level health promotion is often conceived as a tension between "top-down" and "bottom-up" strategy and action. We report behind-the-scenes insights from Australia's largest ever investment in the "top-down" approach, the $45m state-wide scale-up of two childhood obesity programmes. We used Normalisation Process Theory (NPT) as a template to interpret the organisational embedding of the purpose-built software designed to facilitate the initiative. The use of the technology was mandatory for evaluation, i.e. for reporting the proportion of schools and childcare centres which complied with recommended health practices (the implementation targets). Additionally, the software was recommended as a device to guide the implementation process. We set out to study its use in practice. METHODS: Short-term, high-intensity ethnography with all 14 programme delivery teams across New South Wales was conducted, cross-sectionally, 4 years after scale-up began. The four key mechanisms of NPT (coherence/sensemaking, cognitive participation/engagement, collective action and reflexive monitoring) were used to describe the ways the technology had normalised (embedded). RESULTS: Some teams and practitioners embraced how the software offered a way of working systematically with sites to encourage uptake of recommended practices, while others rejected it as a form of "mechanisation". Conscious choices had to be made at an individual and team level about the practice style offered by the technology-thus prompting personal sensemaking, re-organisation of work, awareness of choices by others and reflexivity about professional values. Local organisational arrangements allowed technology users to enter data and assist the work of non-users-collective action that legitimised opposite behaviours. Thus, the technology and the programme delivery style it represented were normalised by pathways of adoption and non-adoption. Normalised use and non-use were accepted and different choices made by local programme managers were respected. State-wide, implementation targets are being reported as met. CONCLUSION: We observed a form of self-organisation where individual practitioners and teams are finding their own place in a new system, consistent with complexity-based understandings of fostering scale-up in health care. Self-organisation could be facilitated with further cross-team interaction to continuously renew and revise sensemaking processes and support diverse adoption choices across different contexts.

Semantic dementia: demography, familial factors and survival in a consecutive series of 100 cases.

A great deal has been written about cognitive aspects of semantic dementia but little is known about the demography or prognosis. We describe these features in a consecutive series of 100 patients seen over a 17-year period; all cases were assessed and followed up in a specialist clinic. The mean age at diagnosis was 64.2 (+/-7.1) range 40-79 years, but 46 presented after age 65 and 7 after 75; a higher proportion than the existing literature might predict. Fifteen had a first-degree relative with dementia, but in seven this was almost certainly unrelated. Only two had relatives with young-onset dementia. There were no families with more than two affected members. The familial rate was estimated at between 2% and 7% (95% confidence interval 0-12%). Kaplan-Meier analyses indicated a 50% survival of 12.8 years (95% confidence interval 11.9-13.7); a more benign course than suggested by neuropathologically based studies. We were unable to identify any factors influencing survival. Of the 100, 34 have died, with pathological confirmation in 24; 18 had frontotemporal lobar degeneration with ubiquitin-positive inclusions (13 of 13 confirmed TAR DNA binding protein-43 positive), and 3 had classic tau-positive Pick bodies and 3 had Alzheimer's pathology. The age at diagnosis or death across the pathological subgroups was equivalent. Although semantic dementia has a strong statistical association with ubiquitin-positive pathology, it does not have the signature of familial frontotemporal lobar degeneration with ubiquitin-positive inclusions, notably the presence of intranuclear lentiform TAR DNA binding protein-43 inclusions. The age of onset is older than predicted and the course more slowly progressive than suggested by earlier studies of small groups of subjects.

Kinetx: A Combined Flow Cytometry Assay and Analysis Software Framework to Quantitatively Measure and Categorize Platelet Activation in Real-time.

Platelets react rapidly to vascular injury and undergo activation in response to a range of stimuli to limit blood loss. Many platelet function tests measure endpoint responses after a defined time period and not the rate of platelet activation. However, the rate at which platelets convert extracellular stimuli into a functional response is an essential factor in determining how efficiently they can respond to injury, bind to a forming thrombus, and signal to recruit other platelets. This paper describes a flow cytometry-based platelet function assay that enables simultaneous data acquisition and sample stimulation and utilizes newly developed bespoke open-source software (Kinetx) to enable quantitative kinetic measurements of platelet granule release, fibrinogen binding, and intracellular calcium flux. Kinetix was developed in R so that users can alter parameters such as degree of smoothing, identification of outlying data points, or time scales. To aid users unfamiliar with the R environment, Kinetix analysis of data can be performed by a single command. Together, this allows real-time platelet activation metrics, such as rate, acceleration, time to peak-rate, time to peak-calcium, and qualitative shape changes, to be accurately and reproducibly measured and categorized. Kinetic measurements of platelet activation give a unique insight into platelets' behavior during the first stages of activation and may provide a method of predicting the recruitment of platelets into a forming thrombus.

Naturalistic evaluation of a sport-themed mental health and wellbeing app aimed at men (MindMax), that incorporates applied video games and gamification.

INTRODUCTION: While men display lower help-seeking rates than women, there is a lack of mental health interventions targeting men. To address this issue, we developed a smartphone app named MindMax, an Australian Football League (AFL)-themed app containing psychoeducational modules teaching strategies derived from positive psychology and acceptance and commitment therapy. MindMax also incorporates gamification, casual video games, and social connection and is intended to appeal to male Australians interested in AFL. This study reports results from a naturalistic trial intended to investigate whether using MindMax was associated with improved wellbeing, resilience, and help-seeking intentions. METHODS: We conducted a naturalistic trial from July 2017 to May 2018, where participants were given access to MindMax to use as they wished, and asked to answer wellbeing surveys at multiple time points. As we employed a customised version of the General Help-Seeking Questionnaire (GHSQ), we conducted an exploratory factor analysis and extracted two factors that we interpreted as 'personal help-seeking' and 'impersonal help-seeking'. Mixed design MANOVAs were conducted with flourishing, resilience, personal help-seeking, impersonal help-seeking, relatedness, and sense of connection (self-group overlap) to the MindMax community to assess change between Day 1-30 and Day 1-60. RESULTS: 313 participants (174/313, 55.6% female; 131/313, 41.9% male) completed the survey at baseline and at least one follow-up survey. We observed significant 30-day and 60-day increases in impersonal help-seeking intentions and sense of connection to the MindMax community, and 60-day increases in flourishing. 30-day increases in sense of connection were highest in our male participants with high base wellbeing, present in our female participants, and not present in our male participants with low base wellbeing. 60-day increases in sense of connection were higher in high-wellbeing participants than in low-wellbeing participants. DISCUSSION/CONCLUSION: Our findings are encouraging as they could be attributed to participants' exposure to MindMax. However, they could also be attributed to other factors that may also have motivated trial participation. Future research can consider investigating more explicitly the role of conformity to masculine norms and how that may affect uptake of mHealth technologies and help-seeking behaviour.

Benefits of not smoking during pregnancy for Australian Aboriginal and Torres Strait Islander women and their babies: a retrospective cohort study using linked data.

OBJECTIVES: To provide evidence for targeted smoking cessation policy, the aim of this study was to compare pregnancy outcomes of Aboriginal mothers who reported not smoking during pregnancy with Aboriginal mothers who reported smoking during pregnancy. DESIGN: Population based retrospective cohort study using linked data. SETTING: New South Wales, the most populous Australian state. POPULATION: 18 154 singleton babies born to 13 477 Aboriginal mothers between 2010 and 2014 were identified from routinely collected New South Wales datasets. Aboriginality was determined from birth records and from four linked datasets through an Enhanced Reporting of Aboriginality algorithm. EXPOSURE: Not smoking at any time during pregnancy. MAIN OUTCOME MEASURES: Unadjusted and adjusted relative risks (aRR) and 95% CIs from modified Poisson regression were used to examine associations between not smoking during pregnancy and maternal and perinatal outcomes including severe morbidity, inter-hospital transfer, perinatal death, preterm birth and small-for-gestational age. Population attributable fractions (PAFs) were calculated using adjusted relative risks. RESULTS: Compared with babies born to mothers who smoked during pregnancy, babies born to non-smoking mothers had a lower risk of all adverse perinatal outcomes including perinatal death (aRR=0.58, 95% CI 0.44 to 0.76), preterm birth (aRR=0.58, 95% CI 0.53 to 0.64) and small-for-gestational age (aRR=0.35, 95% CI 0.32 to 0.39). PAFs (%) were 27% for perinatal death, 26% for preterm birth and 48% for small-for-gestational-age. Compared with women who smoked during pregnancy (n=8919), those who did not smoke (n=9235) had a lower risk of being transferred to another hospital (aRR=0.76, 95% CI 0.66 to 0.89). CONCLUSIONS: Babies born to women who did not smoke during pregnancy had a lower risk of adverse perinatal outcomes. Rates of adverse outcomes among Aboriginal non-smokers were similar to those among the general population. These results quantify the proportion of adverse perinatal outcomes due to smoking and highlight why effective smoking cessation programme are urgently required for this population.

Capturing implementation knowledge: applying focused ethnography to study how implementers generate and manage knowledge in the scale-up of obesity prevention programs.

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.

An App That Incorporates Gamification, Mini-Games, and Social Connection to Improve Men's Mental Health and Well-Being (MindMax): Participatory Design Process.

BACKGROUND: Men have different mental health needs as compared with women, and women make up the primary audience of most digital mental health interventions. An Australian football-themed (specifically Australian Football League, AFL) app named MindMax incorporating psychoeducation, gamification, mini-games, and social connection was developed in an effort to address this issue. OBJECTIVE: The aim of this study was to identify the best way to structure and present MindMax, an app that aims to deliver psychoeducational modules, and create a Web-based community centering on well-being, AFL, and video games for men aged 16 to 35 years who are interested in AFL or video games. METHODS: We conducted 6 participatory design (PD) workshops with people aged 16 to 35 years in 3 cities in Australia, to identify the best way to present MindMax, and contracted a digital development agency to develop MindMax. We then iteratively tested MindMax prototypes with 15 user experience testing interviews across 3 separate time points: 2 before app launch and 1 after app launch. RESULTS: A total of 40 individuals (25 male and 15 female) participated in the PD workshops, and a total of 15 individuals (10 male and 5 female) participated in user experience interviews. Broadly, participants expressed a preference for activities requiring active engagement that practiced useful skills. They were also sensitive to how content was presented and wanted the ability to customize their own app experience. Although participants agreed that social motivations were important for engagement with an app, they recommended not to mimic existing social networks. CONCLUSIONS: In basing itself strongly within the AFL subculture and by incorporating gamification as well as mini-games, MindMax aimed to tackle mental health help-seeking barriers for people who enjoy AFL or video games, with a particular emphasis on men, and to provide psychoeducation on strategies to increase mental health and well-being. If MindMax is successful, this would indicate that generalizing this approach to other traditional sporting codes and even competitive video gaming leagues (esports) would be fruitful.

Codesign of the Population Health Information Management System to measure reach and practice change of childhood obesity programs.

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.

Dynamic simulation modelling of policy responses to reduce alcohol-related harms: rationale and procedure for a participatory approach.

Development of effective policy responses to address complex public health problems can be challenged by a lack of clarity about the interaction of risk factors driving the problem, differing views of stakeholders on the most appropriate and effective intervention approaches, a lack of evidence to support commonly implemented and acceptable intervention approaches, and a lack of acceptance of effective interventions. Consequently, political considerations, community advocacy and industry lobbying can contribute to a hotly contested debate about the most appropriate course of action; this can hinder consensus and give rise to policy resistance. The problem of alcohol misuse and its associated harms in New South Wales (NSW), Australia, provides a relevant example of such challenges. Dynamic simulation modelling is increasingly being valued by the health sector as a robust tool to support decision making to address complex problems. It allows policy makers to ask 'what-if' questions and test the potential impacts of different policy scenarios over time, before solutions are implemented in the real world. Participatory approaches to modelling enable researchers, policy makers, program planners, practitioners and consumer representatives to collaborate with expert modellers to ensure that models are transparent, incorporate diverse evidence and perspectives, are better aligned to the decision-support needs of policy makers, and can facilitate consensus building for action. This paper outlines a procedure for embedding stakeholder engagement and consensus building in the development of dynamic simulation models that can guide the development of effective, coordinated and acceptable policy responses to complex public health problems, such as alcohol-related harms in NSW.

Dynamics behind the scale up of evidence-based obesity prevention: protocol for a multi-site case study of an electronic implementation monitoring system in health promotion practice.

BACKGROUND: The effectiveness of many interventions to promote health and prevent disease has been well established. The imperative has therefore shifted from amassing evidence about efficacy to scale-up to maximise population-level health gains. Electronic implementation monitoring, or 'e-monitoring', systems have been designed to assist and track the delivery of preventive policies and programs. However, there is little evidence on whether e-monitoring systems improve the dissemination, adoption, and ongoing delivery of evidence-based preventive programs. Also, given considerable difficulties with e-monitoring systems in the clinical sector, scholars have called for a more sophisticated re-examination of e-monitoring's role in enhancing implementation. METHODS: In the state of New South Wales (NSW), Australia, the Population Health Information Management System (PHIMS) was created to support the dissemination of obesity prevention programs to 6000 childcare centres and elementary schools across all 15 local health districts. We have established a three-way university-policymaker-practice research partnership to investigate the impact of PHIMS on practice, how PHIMS is used, and how achievement of key performance indicators of program adoption may be associated with local contextual factors. Our methods encompass ethnographic observation, key informant interviews and participatory workshops for data interpretation at a state and local level. We use an on-line social network analysis of the collaborative relationships across local health district health promotion teams to explore the relationship between PHIMS use and the organisational structure of practice. DISCUSSION: Insights will be sensitised by institutional theory, practice theory and complex adaptive system thinking, among other theories which make sense of socio-technical action. Our working hypothesis is that the science of getting evidence-based programs into practice rests on an in-depth understanding of the role they play in the on-going system of local relationships and multiple accountabilities. Data will be synthesised to produce a typology to characterise local context, PHIMS use and key performance indicator achievement (of program implementation) across the 15 local health districts. Results could be used to continuously align e-monitoring technologies within quality improvement processes to ensure that such technologies enhance practice and innovation. A partnership approach to knowledge production increases the likelihood that findings will be put into practice.