Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences.

OBJECTIVE: The Australian Cancer Atlas (ACA) aims to provide small-area estimates of cancer incidence and survival in Australia to help identify and address geographical health disparities. We report on the 21-month user-centered design study to visualize the data, in particular, the visualization of the estimate uncertainty for multiple audiences. MATERIALS AND METHODS: The preliminary phases included a scoping study, literature review, and target audience focus groups. Several methods were used to reach the wide target audience. The design and development stage included digital prototyping in parallel with Bayesian model development. Feedback was sought from multiple workshops, audience focus groups, and regular meetings throughout with an expert external advisory group. RESULTS: The initial scoping identified 4 target audience groups: the general public, researchers, health practitioners, and policy makers. These target groups were consulted throughout the project to ensure the developed model and uncertainty visualizations were effective for communication. In this paper, we detail ACA features and design iterations, including the 3 complementary ways in which uncertainty is communicated: the wave plot, the v-plot, and color transparency. DISCUSSION: We reflect on the methods, design iterations, decision-making process, and document lessons learned for future atlases. CONCLUSION: The ACA has been hugely successful since launching in 2018. It has received over 62 000 individual users from over 100 countries and across all target audiences. It has been replicated in other countries and the second version of the ACA was launched in May 2024. This paper provides rich documentation for future projects.

Creating area level indices of behaviours impacting cancer in Australia with a Bayesian generalised shared component model.

This study develops a model-based index approach called the Generalised Shared Component Model (GSCM) by drawing on the large field of factor models. The proposed fully Bayesian approach accommodates heteroscedastic model error, multiple shared factors and flexible spatial priors. Moreover, unlike previous index approaches, our model provides indices with uncertainty. Focusing on unhealthy behaviors that increase the risk of cancer, the proposed GSCM is used to develop the Area Indices of Behaviors Impacting Cancer product - representing the first area level cancer risk factor index in Australia. This advancement aids in identifying communities with elevated cancer risk, facilitating targeted health interventions.

Improving the spatial and temporal resolution of burden of disease measures with Bayesian models.

This paper contributes to the field by addressing the critical issue of enhancing the spatial and temporal resolution of health data. Although Bayesian methods are frequently employed to address this challenge in various disciplines, the application of Bayesian spatio-temporal models to burden of disease (BOD) studies remains limited. Our novelty lies in the exploration of two existing Bayesian models that we show to be applicable to a wide range of BOD data, including mortality and prevalence, thereby providing evidence to support the adoption of Bayesian modeling in full BOD studies in the future. We illustrate the benefits of Bayesian modeling with an Australian case study involving asthma and coronary heart disease. Our results showcase the effectiveness of Bayesian approaches in increasing the number of small areas for which results are available and improving the reliability and stability of the results compared to using data directly from surveys or administrative sources.

The shock index predicts in-flight blood transfusion in aeromedical trauma patients.

OBJECTIVE: To define the utility of the Triage Revised Trauma Score (TRTS), GCS/Age/arterial Pressure (GAP) score, and shock index (SI) in predicting the need for in-flight blood product administration in civilian trauma patients transported by an aeromedical platform. METHODS: A retrospective chart review of 3582 aeromedical trauma cases was conducted. An initial TRTS, GAP score and SI were calculated for each patient, and the administration of in-flight blood products was also recorded. Receiver operating characteristic (ROC) curves were used to quantify the predictive discrimination of the TRTS, GAP score and SI on the need for in-flight blood product administration. RESULTS: The SI showed a superior predictive value compared to the TRTS and GAP score. The SI showed an area under the curve on the ROC curve of 0.85 in both primary and inter-hospital transfer cases, indicating reasonable predictive value. CONCLUSION: The SI demonstrates favourable test characteristics for predicting the need for in-flight blood product administration. Prospective validation of these results is warranted.

Financial Aid in Children, Adolescents and Young Adult's Cancer Care: A Scoping Review.

Background: The financial burden resulting from cancers on families is higher when it arises in young people compared with older adults. Previous research has provided insight into the financial toxicities associated with childhood cancer, but less is known about the efficacy of financial aid systems in reducing the financial burden on families. We conducted a scoping review to identify the determinants of success and failure of financial aid. Methods: Five databases were searched for articles published between January 1, 2000 and December 1, 2022. Dual processes were used to screen and select studies. Through thematic content analysis, we identified barriers and enablers of financial aid, categorised by country income level. Results: From 17 articles, which were evenly split between high-income countries and upper middle- to low-income countries, four major themes emerged: (1) accessibility of support, (2) delivery of support, (3) administration, and (4) psychosocial factors. Within these themes, the enablers identified were (1) support navigators, (2) establishing a direct contact between donors and beneficiaries, (3) implementation of digital solutions to improve outreach, and (4) using cultural and community values to encourage donor engagement. Conclusions: This scoping review identified the determinants of success and failure of financial aid in supporting families in the context of childhood, adolescent, and young adult (CAYA) cancers. By understanding the barriers and enablers identified in this review, organizations could develop pragmatic evidence-based care models and policies to ensure access to assistance is equitable and appropriate for families experiencing CAYA cancers.

Mapping the prevalence of cancer risk factors at the small area level in Australia.

BACKGROUND: Cancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many countries there are no small area-level data on cancer risk factors with high resolution and complete reach, which hinders the development of targeted prevention strategies. METHODS: Using Australia as a case study, the 2017-2018 National Health Survey was used to generate prevalence estimates for 2221 small areas across Australia for eight cancer risk factor measures covering smoking, alcohol, physical activity, diet and weight. Utilising a recently developed Bayesian two-stage small area estimation methodology, the model incorporated survey-only covariates, spatial smoothing and hierarchical modelling techniques, along with a vast array of small area-level auxiliary data, including census, remoteness, and socioeconomic data. The models borrowed strength from previously published cancer risk estimates provided by the Social Health Atlases of Australia. Estimates were internally and externally validated. RESULTS: We illustrated that in 2017-2018 health behaviours across Australia exhibited more spatial disparities than previously realised by improving the reach and resolution of formerly published cancer risk factors. The derived estimates revealed higher prevalence of unhealthy behaviours in more remote areas, and areas of lower socioeconomic status; a trend that aligned well with previous work. CONCLUSIONS: Our study addresses the gaps in small area level cancer risk factor estimates in Australia. The new estimates provide improved spatial resolution and reach and will enable more targeted cancer prevention strategies at the small area level. Furthermore, by including the results in the next release of the Australian Cancer Atlas, which currently provides small area level estimates of cancer incidence and relative survival, this work will help to provide a more comprehensive picture of cancer in Australia by supporting policy makers, researchers, and the general public in understanding the spatial distribution of cancer risk factors. The methodology applied in this work is generalisable to other small area estimation applications and has been shown to perform well when the survey data are sparse.