ABSTRACT
INTRODUCTION: Aboriginal Australians face significant health disparities, with hospitalisation rates 2.3 times greater, and longer hospital length of stay, than non-Indigenous Australians. This additional burden impacts families further through out-of-pocket healthcare expenditure (OOPHE), which includes additional healthcare expenses not covered by universal taxpayer insurance. Aboriginal patients traveling from remote locations are likely to be impacted further by OOPHE. The objective of this study was to examine the impacts and burden of OOPHE for rurally based Aboriginal individuals. METHODS: Participants were recruited through South Australian community networks to participate in this study. Decolonising methods of yarning and deep listening were used to centralise local narratives and language of OOPHE. Qualitative analysis software was used to thematically code transcripts and organise data. RESULTS: A total of seven yarning sessions were conducted with 10 participants. Seven themes were identified: travel, barriers to health care, personal and social loss, restricted autonomy, financial strain, support initiatives and protective factors. Sleeping rough, selling assets and not attending appointments were used to mitigate or avoid OOPHE. Government initiatives, such as the patient assistance transport scheme, did little to decrease OOPHE burden on participants. Family connections, Indigenous knowledges and engagement with cultural practices were protective against OOPHE burden. CONCLUSION: Aboriginal families are significantly burdened by OOPHE when needing to travel for health care. Radical change of government initiative and policies through to health professional awareness is needed to ensure equitable healthcare access that does not create additional financial hardship in communities already experiencing economic disadvantage.
Subject(s)
Health Expenditures , Adult , Female , Humans , Male , Middle Aged , Financing, Personal/statistics & numerical data , Health Expenditures/statistics & numerical data , Health Services Accessibility/economics , Health Services, Indigenous/organization & administration , Health Services, Indigenous/statistics & numerical data , Health Services, Indigenous/economics , Qualitative Research , Rural Population/statistics & numerical data , South Australia , Australian Aboriginal and Torres Strait Islander PeoplesABSTRACT
INTRODUCTION: Road safety has been a long-enduring policy concern in Australia, with significant financial burden of road trauma and evident socioeconomic disparities. Transport injuries disproportionately impact individuals in remote areas, those in lower socioeconomic situations, and Aboriginal and Torres Strait Islander populations. There is a lack of insight into transport injuries in Aboriginal and Torres Strait Islander communities, absence of Indigenous perspective in published research and limited utilisation of linked data assets to address the inequity. Aim 1 is to determine the breadth, cost and causal factors of serious injury from road traffic crashes in South Australia (SA) and New South Wales (NSW) with a focus on injury prevention. Aim 2 is to identify enablers and barriers to compensation schemes for Aboriginal and Torres Strait Islander patients in SA and NSW. METHODS AND ANALYSIS: This study will be guided by an Aboriginal and Torres Strait Islander Governance Group, applying Knowledge Interface Methodology and Indigenous research principles to ensure Indigenous Data Sovereignty and incorporation of informed perspectives. A mixed-method approach will be undertaken to explore study aims including using big data assets and mapping patient journey. CONCLUSION: The results of this study will provide valuable insights for the development of focused injury prevention strategies and policies tailored to Aboriginal and Torres Strait Islander communities. By addressing the specific needs and challenges faced by these communities, the study aims to enhance road safety outcomes and promote equitable access to healthcare and compensation for affected individuals and their families.
Subject(s)
Accidents, Traffic , Australian Aboriginal and Torres Strait Islander Peoples , Delivery of Health Care , Humans , New South Wales/epidemiology , South Australia/epidemiology , Research DesignABSTRACT
(1) Background: In healthcare settings, patient-reported outcome measures (PROMs) and surveys are accepted, patient-centered measures that provide qualitative information on dimensions of health and wellbeing. The level of psychometric assessment and engagement with end users for their design can vary significantly. This scoping review describes the psychometric and community engagement processes for PROMs and surveys developed for Aboriginal and Torres Strait Islander communities. (2) Methods: The PRISMA ScR guidelines for scoping reviews were followed, aimed at those PROMs and surveys that underwent psychometric assessment. The Aboriginal and Torres Strait Islander Quality Appraisal Tool and a narrative synthesis approach were used. (3) Results: Of 1080 articles, 14 were eligible for review. Most articles focused on a validity assessment of PROMs and surveys, with reliability being less common. Face validity with Aboriginal and Torres Strait Islander communities was reported in most studies, with construct validity through exploratory factor analyses. Methodological design risks were identified in the majority of studies, notably the absence of explicit Indigenous knowledges. Variability existed in the development of PROMs and surveys for Aboriginal and Torres Strait Islander communities. (4) Conclusions: Improvement in inclusion of Indigenous knowledges and research approaches is needed to ensure relevance and appropriate PROM structures. We provide suggestions for research teams to assist in future design.
Subject(s)
Health Services, Indigenous , Native Hawaiian or Other Pacific Islander , Patient Reported Outcome Measures , Psychometrics , Humans , Indigenous Peoples , Reproducibility of ResultsABSTRACT
The number of occupants in a space influences the risk of far-field airborne transmission of SARS-CoV-2 because the likelihood of having infectious and susceptible people both correlate with the number of occupants. This paper explores the relationship between occupancy and the probability of infection, and how this affects an individual person and a population of people. Mass-balance and dose-response models determine far-field transmission risks for an individual person and a population of people after sub-dividing a large reference space into 10 identical comparator spaces. For a single infected person, the dose received by an individual person in the comparator space is 10 times higher because the equivalent ventilation rate per infected person is lower when the per capita ventilation rate is preserved. However, accounting for population dispersion, such as the community prevalence of the virus, the probability of an infected person being present and uncertainty in their viral load, shows the transmission probability increases with occupancy and the reference space has a higher transmission risk. Also, far-field transmission is likely to be a rare event that requires a high emission rate, and there are a set of Goldilocks conditions that are just right when equivalent ventilation is effective at mitigating against transmission. These conditions depend on the viral load, because when they are very high or low, equivalent ventilation has little effect on transmission risk. Nevertheless, resilient buildings should deliver the equivalent ventilation rate required by standards as minimum.
ABSTRACT
We present a mathematical model and a statistical framework to estimate uncertainty in the number of SARS-CoV-2 genome copies deposited in the respiratory tract of a susceptible person, ∑ n , over time in a well mixed indoor space. By relating the predicted median ∑ n for a reference scenario to other locations, a Relative Exposure Index (REI) is established that reduces the need to understand the infection dose probability but is nevertheless a function of space volume, viral emission rate, exposure time, occupant respiratory activity, and room ventilation. A 7 h day in a UK school classroom is used as a reference scenario because its geometry, building services, and occupancy have uniformity and are regulated. The REI is used to highlight types of indoor space, respiratory activity, ventilation provision and other factors that increase the likelihood of far field ( > 2 m) exposure. The classroom reference scenario and an 8 h day in a 20 person office both have an REI ≃ 1 and so are a suitable for comparison with other scenarios. A poorly ventilated classroom (1.2 l s-1 per person) has REI > 2 suggesting that ventilation should be monitored in classrooms to minimise far field aerosol exposure risk. Scenarios involving high aerobic activities or singing have REI > 1 ; a 1 h gym visit has a median REI = 1 . 4 , and the Skagit Choir superspreading event has REI > 12 . Spaces with occupancy activities and exposure times comparable to those of the reference scenario must preserve the reference scenario volume flow rate as a minimum rate to achieve REI = 1 , irrespective of the number of occupants present.