Developing a comorbidity index for comparing cancer outcomes in Aboriginal and non-Aboriginal Australians

Towards precision cancer medicine for Aboriginal and Torres Strait Islander cancer health equity

Delivering cancer control at scale for Aboriginal and Torres Strait Islander communities is a national priority that requires Aboriginal and Torres Strait Islander leadership and codesign, as well as significant involvement of the Aboriginal community-controlled health sector. The unique genomic variation observed among Aboriginal and Torres Strait Islander peoples may have implications for standard and precision medicine. Yet, Aboriginal and Torres Strait Islander peoples are absent from, or under-represented within, human reference genome resources, genomic studies, cancer studies, cancer cell lines, patient-derived xenografts and cancer clinical trials. Genomics-guided precision cancer medicine offers an opportunity to reduce cancer health disparities experienced by Aboriginal and Torres Strait Islander peoples through personalising prevention, diagnosis, treatment and long term management. Here, we describe what is required to ensure that Aboriginal and Torres Strait Islander peoples can receive the benefits of precision cancer medicine. Equity of access to care, an Aboriginal and Torres Strait Islander cancer workforce, and appropriate genome reference resources are important for safe and effective cancer medicine. Building Indigenous data sovereignty principles and Aboriginal and Torres Strait Islander governance into research is required to protect Aboriginal and Torres Strait Islander rights and collective interests. Aboriginal and Torres Strait Islander community engagement should be undertaken to develop an understanding of the unique cultural and ethical considerations for precision cancer research. Local and national genomic health research guidelines are needed to define a consensus best practice in genomics research with Aboriginal and Torres Strait Islander peoples.

Utilising the CREATE quality appraisal tool to analyse Aboriginal and Torres Strait Islander peoples' involvement and reporting of cancer research in Australia

OBJECTIVE

We aimed to evaluate Aboriginal and Torres Strait Islander involvement in research focusing on cancer experiences using an Aboriginal and Torres Strait Islander quality appraisal tool (the QAT).

METHODS

We conducted a systematic review of the peer-reviewed literature on Aboriginal and Torres Strait Islander peoples' experiences associated with cancer, recently published elsewhere. We then appraised articles for the inclusion of Aboriginal and Torres Strait Islander-led research, community consultation, and involvement.

RESULTS

91 articles were appraised. A lack of Aboriginal and Torres Strait Islander-led research and consultation was reported in the majority of articles, only 10 (11%) demonstrated success across seven (50%) or more questions of the QAT.

CONCLUSIONS

This review underscores the need for anti-racist research and publication practices that actively engage Aboriginal and Torres Strait Islander peoples and researchers. This approach is vital to enhance cancer outcomes within these communities.

IMPLICATIONS FOR PUBLIC HEALTH

To advance and prioritise appropriate involvement of Aboriginal and Torres Strait Islander peoples in cancer research, the onus must be on 'systems owners,' including academic journals and institutions, to require and report genuine engagement as standard practice. Researchers will produce higher-calibre research with a strengths-based focus, advancing the cause of equitable research.

The 'ABC' of respiratory disorders among adult Indigenous people: asthma, bronchiectasis and COPD among Aboriginal Australians - a systematic review

BACKGROUND

Aboriginal Australians are reported to have higher presence of chronic respiratory diseases. However, comprehensive evidence surrounding this is sparse. Hence, a systematic review was undertaken to appraise the current state of knowledge on respiratory health in the adult Aboriginal Australians, in particular among the three most common respiratory disorders: asthma, bronchiectasis and chronic obstructive pulmonary disease (COPD).

METHODS

A systematic review of primary literature published between January 2012 and October 2022, using the databases PubMed and Scopus, was conducted. Studies were included if they reported adult Aboriginal Australian prevalence's or outcomes related to asthma, bronchiectasis or COPD, and excluded if adult data were not reported separately, if Aboriginal Australian data were not reported separately or if respiratory disorders were combined into a single group. Risk of bias was assessed by both Joanne Briggs Institute checklists and Hoys' bias assessment. Summary data pertaining to prevalence, lung function, symptoms, sputum cultures and mortality for each of asthma, bronchiectasis and COPD were extracted from the included studies.

RESULTS

Thirty-seven studies were included, involving approximately 33 364 participants (71% female). Eighteen studies reported on asthma, 21 on bronchiectasis and 30 on COPD. The majority of studies (94%) involved patients from hospitals or respiratory clinics and were retrospective in nature. Across studies, the estimated prevalence of asthma was 15.4%, bronchiectasis was 9.4% and COPD was 13.7%, although there was significant geographical variation. Only a minority of studies reported on clinical manifestations (n=7) or symptoms (n=4), and studies reporting on lung function parameters (n=17) showed significant impairment, in particular among those with concurrent bronchiectasis and COPD. Airway exacerbation frequency and hospital admission rates including mortality are high.

DISCUSSION

Although risk of bias globally was assessed as low, and study quality as high, there was limited diversity of studies with most reporting on referred populations, and the majority originating from two centres in the Northern Territory. The states with the greatest Aboriginal Australian population (Victoria and New South Wales) reported the lowest number of studies and patients. This limits the generalisability of results to the wider Aboriginal Australian population due to significant environmental, cultural and socioeconomic variation across the population. Regardless, Aboriginal Australians appear to display a high prevalence, alongside quite advanced and complex chronic respiratory diseases. There is however significant heterogeneity of prevalence, risk factors and outcomes geographically and by patient population. Further collaborative efforts are required to address specific diagnostic and management pathways in order to close the health gap secondary to respiratory disorders in this population.

Patient Information Resources on Cardiovascular Health After Cancer Treatment: An Audit of Australian Resources

PURPOSE

Up to one third of patients with cancer are thought to experience adverse cardiovascular events after their cancer diagnosis and treatment. High-quality information about cancer treatment-related cardiovascular disease can prepare patients and reduce anxiety. The aim of this project was to systematically identify Australian online information resources about cardiovascular health after cancer and assess the readability, understandability, actionability, and cultural relevance for Aboriginal and Torres Strait Islander patients.

METHODS

We conducted systematic Google and website searches to identify potentially relevant resources. Eligibility was assessed using predefined criteria. For each eligible resource, we summarized the content and assessed readability, understandability, actionability, and cultural relevance for Aboriginal and Torres Strait Islander people.

RESULTS

Seventeen online resources addressing cardiovascular health after cancer were identified: three focused solely on cardiovascular health and the remaining 14 dedicated between <1% and 48% of the word count to this topic. On average, three of 12 predefined content areas were covered by the resources. Only one resource was considered comprehensive, covering eight of 12 content areas. Overall, 18% of the resources were deemed readable for the average Australian adult, 41% deemed understandable, and only 24% had moderate actionability. None of the resources were considered culturally relevant for Aboriginal and Torres Strait Islander people, with 41% addressing only one of the seven possible criteria and the remainder addressing none of the criteria.

CONCLUSION

This audit confirms a gap in online information resources about cardiovascular health after cancer. New resources, especially for Aboriginal and Torres Strait Islander people, are needed. The development of such resources must be done through involvement and collaboration with Aboriginal and Torres Strait Islander patients, families, and carers, through a codesign process.

Factors associated with cancer survival disparities among Aboriginal and Torres Strait Islander peoples compared with other Australians: A systematic review

Background

While cancer survival among Aboriginal and Torres Strait Islander peoples has improved over time, they continue to experience poorer cancer survival than other Australians. Key drivers of these disparities are not well understood. This systematic review aimed to summarise existing evidence on Aboriginal and Torres Strait Islander cancer survival disparities and identify influential factors and potential solutions.

Methods

In accordance with PRISMA guidelines, multiple databases were systematically searched for English language peer-reviewed articles on cancer survival by Aboriginal and Torres Strait Islander status published from 1/1/2008 to 4/05/2022. Observational studies presenting adjusted survival measures in relation to potential causal factors for disparities were included. Articles were screened independently by two authors. Included studies were critically assessed using Joanna Briggs Institute tools.

Results

Thirty population-based and predominantly state-level studies were included. A consistent pattern of poorer unadjusted cancer survival for Aboriginal and Torres Strait Islander peoples was evident. Studies varied widely in the covariates adjusted for including a combination of socio-demographics, cancer stage, comorbidities, and treatment. Potential contributions of these factors varied by cancer type. For lung and female breast cancer, adjusting for treatment and comorbidities reduced the survival disparity, which, while still elevated was no longer statistically significant. This pattern was also evident for cervical cancer after adjustment for stage and treatment. However, most studies for all cancers combined, or colorectal cancer, reported that unexplained survival disparities remained after adjusting for various combinations of covariates.

Conclusions

While some of the poorer survival faced by Aboriginal and Torres Strait Islander cancer patients can be explained, substantial disparities likely to be related to Aboriginal determinants, remain. It is imperative that future research consider innovative study designs and strength-based approaches to better understand cancer survival for Aboriginal and Torres Strait Islander peoples and to inform evidence-based action.

The Age-Adjusted Charlson Comorbidity Index Predicts Prognosis in Elderly Cancer Patients

Purpose

The age-adjusted Charlson comorbidity index (ACCI) is a useful measure of comorbidity to standardize the evaluation of elderly patients and has been reported to predict mortality in various cancers. To our best knowledge, no studies have examined the relationship between the ACCI and survival of elderly patients with cancer. Therefore, the primary objective of this study was to investigate the relationship between the ACCI and survival of elderly patients with cancer.

Patients and Methods

A total of 64 elderly patients (>80 years) with cancer between 2011 and 2021 were enrolled in this study. According to the ACCI, the age-adjusted comorbidity index was calculated by weighting individual comorbidities; patients with ACCI<11 were considered the low-ACCI group, whereas those with ACCI≥11 were considered the high-ACCI group. The correlations between the ACCI score and survival outcomes were statistically analyzed.

Results

There was a significant difference in overall survival (OS) and progression-free survival (PFS) between the high-ACCI group and the low-ACCI group (P<0.001). The median OS time of the high-ACCI group and the low-ACCI group were 13.9 (10.5–22.0) months and 51.9 (34.1–84.0) months, respectively. The 2-, 3-, and 5-year survival rates of the high-ACCI group were 28.1%, 18.8%, and 4.2%, respectively, whereas the 2-, 3-, and 5-year survival rates of the low-ACCI group were 77.3%, 66.4%, and 39.1%, respectively. Multivariate analysis showed that ACCI was independently associated with OS (HR=1.402, 95% CI: 1.226–1.604, P < 0.05) and PFS (HR=1.353, 95% CI: 1.085–1.688, P = 0.0073).

Conclusion

The ACCI score is a significant independent predictor of prognosis in elderly patients with cancer.

Impact of area-level socioeconomic status and accessibility to treatment on life expectancy after a cancer diagnosis in Queensland, Australia

AIMS

This study quantifies geographic inequities in loss of life expectancy (LOLE) by area-level socioeconomic status (SES) and accessibility to treatment.

METHODS

Analysis was conducted using a population-based cancer-registry cohort (n = 371,570) of Queensland (Australia) residents aged 50-89 years, diagnosed between 1997-2016. Flexible parametric survival models were used to estimate LOLE by area-level SES and accessibility for all invasive cancers and the five leading cancers. The gain in life years that could be achieved if all cancer patients experienced the same relative survival as those in the least disadvantaged-high accessibility category was estimated for the 2016 cohort.

RESULTS

For all invasive cancers, men living in the most disadvantaged areas lost 34 % of life expectancy due to their cancer diagnosis, while those from the least disadvantaged areas lost 25 %. The corresponding percentages for women were 33 % and 23 %. Accessibility had a lower impact on LOLE than SES, with patients from low accessibility areas losing 0-4 % more life expectancy than those from high accessibility areas. For cancer patients diagnosed in 2016 (n = 24,423), an estimated 101,387 life years will be lost. This would be reduced by 19 % if all patients experienced the same relative survival as those from the least disadvantaged-high accessibility areas.

CONCLUSION

The impact of a cancer diagnosis on remaining life expectancy varies by geographical area. Establishing reasons why area disadvantage impacts on life expectancy is crucial to inform subsequent interventions that could increase the life expectancy of cancer patients from more disadvantaged areas.

The burden of chronic diseases among Australian cancer patients: Evidence from a longitudinal exploration, 2007-2017

INTRODUCTION

Cancer is a major public health concern in terms of morbidity and mortality worldwide. Several types of cancer patients suffer from chronic comorbid conditions that are a major clinical challenge for treatment and cancer management. The main objective of this study was to investigate the distribution of the burden of chronic comorbid conditions and associated predictors among cancer patients in Australia over the period of 2007-2017.

METHODS

The study employed a prospective longitudinal design using data from the Household, Income and Labour Dynamics in Australia survey. The number of chronic comorbid conditions was measured for each respondent. The longitudinal effect was captured using a fixed-effect negative binomial regression model, which predicted the potential factors that played a significant role in the occurrence of chronic comorbid conditions.

RESULTS

Sixty-one percent of cancer patients experienced at least one chronic disease over the period, and 21% of patients experienced three or more chronic diseases. Age (>65 years old) (incidence rate ratio, IRR = 1.15; 95% confidence interval, CI: 1.05, 1.40), inadequate levels of physical activity (IRR = 1.25; 95% CI: 1.09, 1.59), patients who suffered from extreme health burden (IRR = 2.30; 95% CI: 1.73, 3.05) or moderate health burden (IRR = 1.90; 95% CI: 1.45, 2.48), and patients living in the poorest households (IRR = 1.21; 95% CI: 1.11, 1.29) were significant predictors associated with a higher risk of chronic comorbid conditions.

CONCLUSIONS

A large number of cancer patients experience an extreme burden of chronic comorbid conditions and the different dimensions of these in cancer survivors have the potential to affect the trajectory of their cancer burden. It is also significant for health care providers, including physical therapists and oncologists, who must manage the unique problems that challenge this population and who should advocate for prevention and evidence-based interventions.