Introduction Breast cancer is the most commonly diagnosed cancer among women worldwide. Survivors often experience physical and psychological effects arising from breast cancer and its treatment, which can last months and years, adversely impacting quality of life. As the number of early breast cancer survivors increases, models of specialist-led follow-up care in hospital settings are not sustainable and evidence suggests that they may not meet survivors’ needs. Nurse-enabled, shared-care, follow-up models between cancer specialist and primary care teams have potential to address this need.Methods and analysis The proposed research is a multicentre, prospective, pragmatic, stepped-wedge cluster-randomised trial designed to test the effectiveness and implementation of IBIS-Survivorship, a follow-up care model for patients with early breast cancer who have completed primary treatment. The IBIS-Survivorship intervention involves a nurse-led consultation, development of a Survivorship Care Plan and case-conferencing between a breast care nurse and the patient’s primary care provider. This study seeks to recruit 1079 breast cancer survivors across six cancer centres (clusters) in Australia. Health-related quality of life at 12 months assessed by the Functional Assessment of Cancer Therapy - Breast Cancer questionnaire will be the primary endpoint, along with a range of patient-reported outcomes, safety indicators and cost-effectiveness measures as secondary endpoints. General and generalised linear mixed models will be used to assess the effectiveness of the intervention versus usual care. Implementation and process outcomes will be assessed using the Reach Effectiveness Adoption Implementation Maintenance framework.Ethics and dissemination Ethical approval was provided by the Metro South Hospital and Health Service Human Research Ethics Committee (HREC/2020/QMS/59892) and reciprocally across the other five trial sites under National Mutual Acceptance arrangements. Results will be disseminated through peer-reviewed academic journal publications and presentations at national and international conferences.Trial registration Australia and New Zealand Clinical Trials Registry (ANZCTR) Trial ID: ACTRN12621000188831.

OBJECTIVES:(1) To safely extract electronic medical record data to co-produce a population health informatics dashboard for obesity. (2) To explore how a population health informatics dashboard for obesity might be translated into routine public health practice. METHODS:This mixed methods study was conducted in Queensland, Australia, with stakeholders (n = 27) according to the Three Horizons Framework for Digital Health Transformation. Horizon 1 established the digital infrastructure necessary for accessing routine electronic medical record data from inpatient, outpatient, emergency, and community encounters. Horizon 2 co-produced user requirements for a population health informatics dashboard and developed a proof of concept. Horizon 3 conducted usability testing to explore the theoretical feasibility of integrating the dashboard into practice. RESULTS:The Queensland Healthy Weight Dashboard is an interactive visualisation platform for obesity surveillance capable of using near-real-time electronic medical record data. We developed a proof of concept using a synthetic sample of 726,561 patients. Once commissioned, the dashboard will display aggregate, non-identifiable data from a total sample of >1 million patients with a measured body mass index across 71 facilities in Queensland, including 19 health services and at least 71 individual facilities that use the integrated electronic Medical Record. The dashboard can display near real-time (quarterly) data via descriptive analytics to (1) identify total raw counts and normalised values, (2) longitudinally track data, and (3) geographically heatmap obesity, overweight, and healthy weight rates, and stratify by time (2016-2022), gender, age (2-99 years), and location (geographical area, facility). Usability testing with public health practitioner end-users (n = 4) revealed above-average overall usability but mixed task-based usability. Practitioners were optimistic about integrating the dashboard into routine practice. CONCLUSION:We co-produced a population health informatics tool for obesity that can display hospital electronic medical record data in near real-time. With further validation and usability improvements, this tool can be translated into public health practice to guide obesity interventions.

BACKGROUND:Quality has been a persistent challenge in the healthcare system, particularly in resource-limited settings. As a result, the utilization of innovative approaches is required to help countries in their efforts to enhance the quality of healthcare. The positive deviance (PD) approach is an innovative approach that can be utilized to improve healthcare quality. The approach assumes that solutions to problems are already available within the community and identifying and sharing those solutions can help others to resolve existing issues. Therefore, this scoping review aimed to synthesize the evidence regarding the use of the PD approach in healthcare system service delivery and quality improvement programs.METHODS:Articles were retrieved from six international databases. The last date for article search was June 02, 2023, and no date restriction was applied. All articles were assessed for inclusion through a title and/or abstract read. Then, articles that passed the title and abstract review were screened by reading their full texts. In case of duplication, only the full-text published articles were retained. A descriptive mapping and evidence synthesis was done to present data with the guide of the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews checklist and the results are presented in text, table, and figure formats.RESULTS:A total of 125 articles were included in this scoping review. More than half, 66 (52.8%), of the articles were from the United States, 11(8.8%) from multinational studies, 10 (8%) from Canada, 8 (6.4%) from the United Kingdom and the remaining, 30 (24%) are from other nations around the world. The scoping review indicates that several types of study designs can be applied in utilizing the PD approach for healthcare service and quality improvement programs. However, although validated performance measures are utilized to identify positive deviants (PDs) in many of the articles, some of the selection criteria utilized by authors lack clarity and are subject to potential bias. In addition, several limitations have been mentioned in the articles including issues in operationalizing PD, focus on leaders and senior managers and limited staff involvement, bias, lack of comparison, limited setting, and issues in generalizability/transferability of results from prospects perspective. Nevertheless, the limitations identified are potentially manageable and can be contextually resolved depending on the nature of the study. Furthermore, PD has been successfully employed in healthcare service and quality improvement programs including in increasing surgical care quality, hand hygiene practice, and reducing healthcare-associated infections.CONCLUSION:The scoping review findings have indicated that healthcare systems have been able to enhance quality, reduce errors, and improve patient outcomes by identifying lessons from those who exhibit exceptional practices and implementing successful strategies in their practice. All the outcomes of PD-based research, however, are dependent on the first step of identifying true PDs. Hence, it is critical that PDs are identified using objective and validated measures of performance as failure to identify true PDs can subsequently lead to failure in identifying best practices for learning and dissemination to other contextually similar settings.

INTRODUCTION:The benefits of exercise in reducing treatment-related morbidity and improving quality of life following a primary diagnosis of cancer have been well documented and have led to exercise being recommended by oncology societies for all people with a cancer diagnosis. However, these recommendations are derived from research typically involving cohorts with more common cancers and relatively good prognosis, such as breast and prostate. Evidence from these cancers may not apply to women with recurrent ovarian cancer. Therefore, the primary objective of this trial is to evaluate the feasibility and safety of a home-based, telephone-delivered exercise intervention for women undergoing chemotherapy for recurrent ovarian cancer. METHODS AND ANALYSIS:The Exercise During Chemotherapy for Recurrent Ovarian Cancer (ECHO-R) trial is a single-arm, phase II, pre/postintervention trial of a 6-month, telephone-delivered exercise intervention (consistent with recommended exercise oncology prescription). The target sample size is 80 women who are currently undergoing (or are scheduled to receive) chemotherapy for recurrent ovarian cancer. Recruitment is through participating hospital sites in Queensland, Australia, or via self-referral. The exercise intervention comprises 12 telephone sessions over a 6-month period delivered by trial-trained exercise professionals and supplemented (where feasible) by five sessions face to face. Exercise prescription is individualised and works towards an overall goal of achieving a weekly target of 150 min of moderate-intensity, mixed-mode exercise. Assessments via self-administered survey and physical fitness and function tests occur at baseline and then at 6 and 9 months postbaseline. Data to inform feasibility and safety are recorded as case notes by the exercise professional during each session. ETHICS AND DISSEMINATION:Ethics approval for the ECHO-R trial was granted by the Metro North Human Research Ethics Committee (HREC/2020/QRBW/67223) on 6 November 2020. Findings from the trial are planned to be disseminated via peer-reviewed publications and both national and international exercise and oncology conferences. TRIAL REGISTRATION NUMBER:ACTRN12621000042842.

Abstract Background The online BeUpstanding™ program is an eight-week workplace-delivered intervention for desk-based workers to raise awareness of the benefits of sitting less and moving more and build a supportive culture for change. A workplace representative (the “champion”) delivers the program, which includes a workshop where teams collectively choose their sit less/move more strategies. A toolkit provides the champion with a step-by-step guide and associated resources to support program uptake, delivery, and evaluation. Here we report on the main findings from the Australian national implementation trial of BeUpstanding. Methods Recruitment (12/06/2019 to 30/09/2021) was supported by five policy and practice partners, with desk-based work teams from across Australia targeted. Effectiveness was measured via a single arm, repeated-measures trial. Data were collected via online surveys, toolkit analytics, and telephone calls with champions. The RE-AIM framework guided evaluation, with adoption/reach (number and characteristics); effectiveness (primary: self-reported workplace sitting time); implementation (completion of core components; costs); and, maintenance intentions reported here. Linear mixed models, correcting for cluster, were used for effectiveness, with reach, adoption, implementation, and maintenance outcomes described. Results Of the 1640 website users who signed-up to BeUpstanding during the recruitment period, 233 were eligible, 198 (85%) provided preliminary consent, and 118 (50.6%) champions consented and started the trial, with 94% (n = 111 champions) completing. Trial participation was from across Australia and across industries, and reached 2,761 staff, with 2,248 participating in the staff survey(s): 65% female; 64% university educated; 17% from a non-English speaking background. The program effectively changed workplace sitting (-38.5 [95%CI -46.0 to -28.7] minutes/8-hour workday) and all outcomes targeted by BeUpstanding (behaviours and culture), with small-to-moderate statistically-significant effects observed. All participating teams (n = 94) completed at least 5/7 core steps; 72.4% completed all seven. Most champions spent $0 (72%) or >$0-$5 (10%) per team member; most (67/70 96%) intended to continue or repeat the program. Conclusions BeUpstanding can be adopted and successfully implemented by a range of workplaces, reach a diversity of staff, and be effective at creating a supportive culture for teams of desk-based workers to sit less and move more. Learnings will inform optimisation of the program for longer-term sustainability. Trial registration ACTRN12617000682347.

There is no consistent operationalization of effective coverage (EC) across studies. Therefore, this scoping review synthesized evidence on the definitions and measurement approaches, outcomes reported, and the factors that are associated with variations in quality-adjusted EC estimates of maternal and neonatal healthcare services in low- and middle-income countries. Article search was conducted using PubMed, Embase, Google Scholar, and other databases. Then, title, abstract, and full text screenings for inclusion were performed by two authors independently and disagreements were resolved through discussion. In case of duplication, the full-text published articles were retained, and the results are presented using the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews checklist as a guide. Overall, 36 articles were included in this scoping review. In most articles, EC has been defined from the perspectives of people in need utilizing healthcare services in well-equipped health facilities and from actual receipt of quality services. In addition, usage, instead of need, has been used as a domain in estimating EC in some instances. Effective coverage ranged from 0

Introduction Healthcare systems are currently facing challenges in enhancing access and improving the quality of healthcare services around the world, and one of the innovative strategies that have been used to address such challenges is the positive deviance (PD) approach. The approach assumes that identifying, examining, understanding and disseminating solutions to problems that are already available within the community and organisations including the healthcare system can help in bringing improvements at scale. However, to the best of the researcher’s knowledge, there is no scoping review, that is, conducted to map and synthesise the available evidence on the use of the PD approach for healthcare system service improvements. Hence, this scoping review aims to map and synthesise resources on the methodologies and reported outcomes and identify gaps and potentials regarding the use of the PD approach in the healthcare system.Methods and analysis Articles will be searched and retrieved in research databases such as PubMed, Embase and Scopus. Retrieved articles will be screened independently for inclusion through a title and, or abstract review. Then, articles that passed the title and abstract review will be screened by reading the full texts. A descriptive mapping and synthesis of the literature will be employed to present data using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews checklist and data will be presented in text, figure and table formats.Ethics and dissemination The results of this scoping review will be published in peer-reviewed reputable international journals. Furthermore, it will also be disseminated through conference presentations, and popular press to the wider community. However, formal ethical approval is not required as primary data will not be collected.

INTRODUCTION:Epidemiological evidence supports an association between higher levels of physical activity and improved cancer survival. Trial evidence is now needed to demonstrate the effect of exercise in a clinical setting. The Exercise during CHemotherapy for Ovarian cancer (ECHO) trial is a phase III, randomised controlled trial, designed to determine the effect of exercise on progression-free survival and physical well-being for patients receiving first-line chemotherapy for ovarian cancer. METHODS AND ANALYSIS:Participants (target sample size: n=500) include women with newly diagnosed primary ovarian cancer, scheduled to receive first-line chemotherapy. Consenting participants are randomly allocated (1:1) to either the exercise intervention (plus usual care) or usual care alone, with stratification for recruitment site, age, stage of disease and chemotherapy delivery (neoadjuvant vs adjuvant). The exercise intervention involves individualised exercise prescription with a weekly target of 150 minutes of moderate-intensity, mixed-mode exercise (equivalent to 450 metabolic equivalent minutes per week), delivered for the duration of first-line chemotherapy through weekly telephone sessions with a trial-trained exercise professional. The primary outcomes are progression-free survival and physical well-being. Secondary outcomes include overall survival, physical function, body composition, quality of life, fatigue, sleep, lymphoedema, anxiety, depression, chemotherapy completion rate, chemotherapy-related adverse events, physical activity levels and healthcare usage. ETHICS AND DISSEMINATION:Ethics approval for the ECHO trial (2019/ETH08923) was granted by the Sydney Local Health District Ethics Review Committee (Royal Prince Alfred Zone) on 21 November 2014. Subsequent approvals were granted for an additional 11 sites across Queensland, New South Wales, Victoria and the Australian Capital Territory. Findings from the ECHO trial are planned to be disseminated via peer-reviewed publications and international exercise and oncology conferences. TRIAL REGISTRATION NUMBER:Australian New Zealand Clinical Trial Registry (ANZCTRN12614001311640; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367123&isReview=true).

ABSTRACT Purpose Sitting at work can be associated with musculoskeletal pain, but the effect of reductions in sitting is not well understood. We examined relationships with musculoskeletal pain of changes in sitting, standing, stepping, and short and long bouts of these behaviors. Methods Analyses pooled data from 224 desk workers (68.4% women; mean ± SD age = 45.5 ± 9.4 yr; body mass index = 28.1 ± 6.1 kg⋅m−2) in intervention trial. Device-assessed (activPAL3) sitting, standing, and stepping time and multisite musculoskeletal pain (Nordic Questionnaire; 12 body areas) were assessed at baseline, 3 months, and 12 months. Compositional data analyses in linear mixed-effects regressions examined relationships within 16 waking hours of the behaviors and their short and long bouts, with changes from baseline in acute and chronic multisite musculoskeletal pain at 3 and 12 months. Analyses were adjusted for initial group randomization and relevant covariates. Results At 3 months, increased standing relative to changes in other compositions was significantly associated with increased multisite musculoskeletal pain (acute: β = 1.54, 95% confidence interval [CI] = 0.10 to 2.98; chronic: β = 1.49, 95% CI = 0.12 to 2.83). By contrast, increased stepping relative to changes in other compositions was significantly associated with reduced multisite musculoskeletal pain (acute: β = −1.49, 95% CI = −2.97 to −0.02; chronic: β = −1.87, 95% CI = −3.75 to −0.01). Neither sitting reduction relative to changes in other compositions nor changes in short bouts relative to long bouts of the behaviors were significantly associated with multisite musculoskeletal pain changes. At 12 months, there were no significant associations for any of the compositional changes. Conclusions In the short term, while increasing standing with reduced sitting time can be unfavorable, concurrently increasing stepping could potentially reduce musculoskeletal pain. In the longer term, musculoskeletal pain may not be increased by moderate reductions in sitting time through spending more time standing or stepping.

Background This study aimed to evaluate the cost-effectiveness of a telehealth coaching intervention to prevent gestational diabetes mellitus (GDM) and to calculate the breakeven point of preventing GDM. Methods Data to inform the economic evaluation model was sourced directly from the large quaternary hospital in Brisbane, where the Living Well during Pregnancy (LWdP) program was implemented, and further supplemented with literature-based estimates where data had not been directly collected in the trial. A cost-effectiveness model was developed using a decision tree framework to estimate the potential for cost savings and quality of life improvement. A total of 1,315 pregnant women (49% with a BMI 25-29.9, and 51% with a BMI ≥ 30) were included in the analyses. Results The costs of providing routine care and routine care plus LWdP coaching intervention to pregnant women were calculated to be AUD 20,933 and AUD 20,828, respectively. The effectiveness of the LWdP coaching program (0.894 utility) was slightly higher compared to routine care (0.893). Therefore, the value of the incremental cost-effectiveness ratio (ICER) was negative, and it indicates that the LWdP coaching program is a dominant strategy to prevent GDM in pregnant women. We also performed a probabilistic sensitivity analysis using Monte Carlo simulation through 1,000 simulations. The ICE scatter plot showed that the LWdP coaching intervention was dominant over routine care in 93.60% of the trials using a willingness to pay threshold of AUD 50,000. Conclusion Findings support consideration by healthcare policy and decision makers of telehealth and broad-reach delivery of structured lifestyle interventions during pregnancy to lower short-term costs associated with GDM to the health system.

The aim of this comparative, effectiveness trial was to evaluate the safety, feasibility and effect of an exercise intervention delivered via low-level versus high-level supervision. The target population were women who were diagnosed with ≥stage II breast cancer, had ≥ one comorbidity and/or persistent treatment-related side-effects, and were insufficiently physically active. Sixty women (50 ± 9 years) were randomized to the low-supervision group (n = 30) or high-supervision group (n = 30). The low-supervision group participated in a 12-week, individually-tailored exercise intervention supported by five supervised sessions with an exercise professional. The high-supervision group participated in the same exercise intervention but received 20 supervised sessions across the 12-week period. The target weekly dosage of 600 metabolic equivalent minutes of exercise per week (MET-mins/wk) and the session content, such as safety and behaviour change topics, were standardized between the groups. The primary outcomes were intervention safety, defined as the number, type, and severity of exercise-related adverse events (e.g., musculoskeletal injury or exacerbated treatment-related side effects), and feasibility, which was defined as compliance to target exercise dosage. The effect of the intervention on quality of life, physical activity, self-efficacy, fitness, and strength was also assessed (pre- and post-intervention, and at 12-week follow-up). The intervention was safe, with no exercise-related adverse events of grade 3 or above in either group. Both groups reported high compliance to the target exercise dosage (median MET-mins/wk: High = 817; Low = 663), suggesting the exercise intervention was feasible, irrespective of supervision level. Improvements in quality of life, physical activity and fitness were observed post-intervention and maintained at follow-up for both groups (p < 0.05). Only the high-supervision group showed clinically-relevant improvements in strength and self-efficacy at post-intervention (p < 0.05). Individually-targeted exercise delivered under high- or low-levels of supervision is safe, feasible and beneficial for women with stage II+ breast cancer. Future research needs to assess whether the greater gains observed in the group who received higher supervision may contribute to longer term maintenance of physical activity levels and overall health benefits. Australian and New Zealand Clinical Trials Registry: ACTRN12616000547448.

Abstract Background Clinical practice guidelines recommend that adults with type 2 diabetes (T2D) sit less and move more throughout the day. The 18-month OPTIMISE Your Health Clinical Trial was developed to support desk-based workers with T2D achieve these recommendations. The two-arm protocol consists of an intervention and control arms. The intervention arm receives 6 months health coaching, a sit-stand desktop workstation and an activity tracker, followed by 6 months of text message support, then 6 months maintenance. The control arm receives a delayed modified intervention after 12 months of usual care. This paper describes the methods of a randomised controlled trial (RCT) evaluating the effectiveness and cost-effectiveness of the intervention, compared to a delayed intervention control. Methods This is a two-arm RCT being conducted in Melbourne, Australia. Desk-based workers (≥0.8 full-time equivalent) aged 35–65 years, ambulatory, and with T2D and managed glycaemic control (6.5–10.0% HbA1c), are randomised to the multicomponent intervention (target n = 125) or delayed-intervention control (target n = 125) conditions. All intervention participants receive 6 months of tailored health coaching assisting them to “sit less” and “move more” at work and throughout the day, supported by a sit-stand desktop workstation and an activity tracker (Fitbit). Participants receive text message-based extended care for a further 6-months (6–12 months) followed by 6-months of non-contact (12–18 months: maintenance). Delayed intervention occurs at 12–18 months for the control arm. Assessments are undertaken at baseline, 3, 6, 12, 15 and 18-months. Primary outcomes are activPAL-measured sitting time (h/16 h day), glycosylated haemoglobin (HbA1c; %, mmol/mol) and, cognitive function measures (visual learning and new memory; Paired Associates Learning Total Errors [adjusted]). Secondary, exploratory, and process outcomes will also be collected throughout the trial. Discussion The OPTIMISE Your Health trial will provide unique insights into the benefits of an intervention aimed at sitting less and moving more in desk-bound office workers with T2D, with outcomes relevant to glycaemic control, and to cardiometabolic and brain health. Findings will contribute new insights to add to the evidence base on initiating and maintaining behaviour change with clinical populations and inform practice in diabetes management. Trial registration ANZCTRN12618001159246 .

Background Scaling up population health interventions is a context-orientated, dynamic and multi-stakeholder process; understanding its influences is essential to enhance future scaling efforts. Using physical activity and nutrition interventions in Australia as case examples, the aim of this paper is to identify core influences involved in scaling up physical activity and nutrition interventions, and how these may differ by context and stakeholder. Methods A qualitative study involving semi-structured telephone interviews with individuals representing academic, government and non-government organizations with involvement in scaling up state and national physical activity and nutrition interventions. Interview questions were derived from the WHO report “20 Questions for Developing a Scaling up Case Study”, and mapped against four key principles and five core areas in the WHO ExpandNet framework for scaling up: (1) The innovation; (2) User organization; (3) Environment; (4) Resource team and; (5) Scale up strategy. Data were analyzed thematically. Results Nineteen interviews were conducted (government = 3; non-government = 5; and academic = 11 sectors) involving eight scaled up interventions, targeting nutrition (n = 2), physical activity (n = 1) or a combination (n = 5). Most themes aligned to the “Environment”, including: (i) political (e.g., personal agendas); (ii) social (e.g., lack of urgency); and (iii) sector/workforce (e.g., scale up accountability) factors. Themes relating to “Scale up strategy” (e.g., flexibility and evaluation transparency) were next most commonly occurring. Whilst themes were broadly consistent across participants, government participants had a more policy-oriented perspective on the scale up process. Academics discussed a tension between the generation and use of evidence, and the influence of political climates/interest on scale up decisions. Conclusion Attributes of the “Environment” and “Scale up strategy” consistently featured as major influences on successful outcomes, while the role of evidence differed greatly between participant groups. A multisector scale up strategy for future interventions may enable the complexities of environmental and political contexts to be incorporated into scale up planning.

Background Despite comprehensive guidelines for healthy gestational weight gain (GWG) and evidence for the efficacy of dietary counseling coupled with weight monitoring on reducing excessive GWG, reporting on the effectiveness of interventions translated into routine antenatal care is limited. Objective This study aims to implement and evaluate the Living Well during Pregnancy (LWdP) program in a large Australian antenatal care setting. Specifically, the LWdP program will be incorporated into usual care and delivered to a population of pregnant women at risk of excessive GWG through a dietitian-delivered telephone coaching service. Methods Metrics from the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework will guide the evaluation in this hybrid effectiveness-implementation study. All women aged ≥16 years without pre-exiting diabetes with a prepregnancy BMI >25 kg/m2 and gaining weight above recommendations at <20 weeks’ gestation who are referred for dietetic care during the 12-month study period will be eligible for participation. The setting is a metropolitan hospital at which approximately 6% of the national births in Australia take place each year. Eligible participants will receive up to 10 telecoaching calls during their pregnancy. Primary outcomes will be service level indicators of reach, adoption, and implementation that will be compared with a retrospective control group, and secondary effectiveness outcomes will be participant-reported anthropometric and behavioral outcomes; all outcomes will be assessed pre- and postprogram completion. Additional secondary outcomes relate to the costs associated with program implementation and pregnancy outcomes gathered through routine clinical service data. Results Data collection of all variables was completed in December 2020, with results expected to be published by the end of 2021. Conclusions This study will evaluate the implementation of an evidence-based intervention into routine health service delivery and will provide the practice-based evidence needed to inform decisions about its incorporation into routine antenatal care. International Registered Report Identifier (IRRID) DERR1-10.2196/27196

Noncommunicable diseases (NCDs), including obesity, remain a significant global public health challenge. Prevention and public health innovation are needed to effectively address NCDs; however, understanding of how healthcare organisations make prevention decisions is immature. This study aimed to (1) explore how healthcare organisations make decisions for NCD prevention in Queensland, Australia (2) develop a contemporary decision-making framework to guide NCD prevention in healthcare organisations. Cross-sectional and qualitative design, comprising individual semi-structured interviews. Participants (n = 14) were recruited from two organisations: the state public health care system (CareQ) and health promotion/disease prevention agency (PrevQ). Participants held executive, director/manager or project/clinical lead roles. Data were analysed in two phases (1) automated content analysis using machine learning (Leximancer v4.5) (2) researcher-led interpretation of the text analytics. Final themes were consolidated into a proposed decision-making framework (PREVIDE, PREvention decIDE) for NCD prevention in healthcare organisations. Decision-making was driven by four themes: Data, Evidence, Ethics and Health, i.e., data, its quality and the story it tells; traditional and non-traditional sources of evidence; ethical grounding in fairness and equity; and long-term value generated across multiple determinants of health. The strength of evidence was directly proportional to confidence in the ethics of a decision. PREVIDE can be adapted by public health practitioners and policymakers to guide real-world policy, practice and investment decisions for obesity prevention and with further validation, other NCDs and priority settings (e.g., healthcare).

Non-communicable diseases (NCDs) remain the largest global public health threat. The emerging field of precision public health (PPH) offers a transformative opportunity to capitalize on digital health data to create an agile, responsive and data-driven public health system to actively prevent NCDs. Using learnings from digital health, our aim is to propose a vision toward PPH for NCDs across three horizons of digital health transformation: Horizon 1—digital public health workflows; Horizon 2—population health data and analytics; Horizon 3—precision public health. This perspective provides a high-level strategic roadmap for public health practitioners and policymakers, health system stakeholders and researchers to achieving PPH for NCDs. Two multinational use cases are presented to contextualize our roadmap in pragmatic action: ESP and RiskScape (USA), a mature PPH platform for multiple NCDs, and PopHQ (Australia), a proof-of-concept population health informatics tool to monitor and prevent obesity. Our intent is to provide a strategic foundation to guide new health policy, investment and research in the rapidly emerging but nascent area of PPH to reduce the public health burden of NCDs.