Attitudes to Short-Term Staffing and Workforce Priorities of Community Users of Remote Aboriginal Community-Controlled Health Services: A Qualitative Study.

In recent years, there has been an increasing trend of short-term staffing in remote health services, including Aboriginal Community-Controlled Health Services (ACCHSs). This paper explores the perceptions of clinic users' experiences at their local clinic and how short-term staffing impacts the quality of service, acceptability, cultural safety, and continuity of care in ACCHSs in remote communities. Using purposeful and convenience sampling, community users (aged 18+) of the eleven partnering ACCHSs were invited to provide feedback about their experiences through an interview or focus group. Between February 2020 and October 2021, 331 participants from the Northern Territory and Western Australia were recruited to participate in the study. Audio recordings were transcribed verbatim, and written notes and transcriptions were analysed deductively. Overall, community users felt that their ACCHS provided comprehensive healthcare that was responsive to their health needs and was delivered by well-trained staff. In general, community users expressed concern over the high turnover of staff. Recognising the challenges of attracting and retaining staff in remote Australia, community users were accepting of rotation and job-sharing arrangements, whereby staff return periodically to the same community, as this facilitated trusting relationships. Increased support for local employment pathways, the use of interpreters to enhance communication with healthcare services, and services for men delivered by men were priorities for clinic users.

The efficiency, timeliness, health outcomes and cost-effectiveness of a new aeromedical retrieval model in Central Australia: A pre- and post-implementation observational study.

OBJECTIVE: To assess timeliness, efficiency, health outcomes and cost-effectiveness of the 2018 redesigned Central Australian aeromedical retrieval model. DESIGN: Pre- and postimplementation observational study of all patients receiving telehealth consultations from remote medical practitioners (RMPs) or Medical Retrieval and Consultation Centre (MRaCC) physicians between 1/1/2015 and 29/2/2020. Descriptive and inferential statistics measuring system efficiency, timeliness, health outcomes and incremental cost-effectiveness. FINDINGS: There were 9%-10% reductions in rates of total aeromedical retrievals, emergency department admissions and hospitalisations postimplementation, all p-values < 0.001. Usage rates for total hospital bed days and ICU hours were 17% lower (both p < 0.001). After adjusting for periodicity (12% fewer retrievals on weekends), each postimplementation year, there were 0.7 fewer retrievals/day (p = 0.002). The mean time from initial consultation to aeromedical departure declined by 18 minutes post-implementation (115 vs. 97 min, p = 0.007). The hazard of death within 365 days was nonsignificant (0.912, 95% CI 0.743-1.120). Postimplementation, it cost $302 more per hospital admission and $3051 more per year of life saved, with a 75% probability of cost-effectiveness. These costs excluded estimated savings of $744,528/year in reduced hospitalisations and the substantial social and out-of-pocket costs to patients and their families associated with temporary relocation to Alice Springs. CONCLUSION: Central Australia's new critical care consultant-led aeromedical retrieval model is more efficient, is dispatched faster and is more cost-effective. These findings are highly relevant to other remote regions in Australia and internationally that have comparable GP-led retrieval services.

Alcohol-Attributable Death and Burden of Illness among Aboriginal and Non-Aboriginal Populations in Remote Australia, 2014-2018.

Harmful use of alcohol is a problem in the Northern Territory (NT), Australia. The aim of this study was to assess and compare alcohol-attributable deaths and the contribution of alcohol to the burden of disease and injury (BOD) among the Aboriginal and non-Aboriginal populations in the NT between 2014 and 2018. The alcohol-use data for adults aged 15+ years old in the NT population was taken from the 2016 National Drug Strategy Household Survey. BOD was measured in disability-adjusted life years (DALY) as part of the NT BOD study. Population-attributable fractions were derived to analyse deaths and BOD. Between 2014 and 2018, 673 Aboriginal and 392 non-Aboriginal people died of harmful use of alcohol, accounting for 26.3% and 12.9% of the total deaths in the Aboriginal and non-Aboriginal population, respectively. Alcohol caused 38,596 and 15,433 DALY (19.9% and 10.2% of the total), respectively, in the NT Aboriginal and non-Aboriginal population for the same period. The alcohol-attributable DALY rate in the Aboriginal population was 10,444.6 per 100,000 persons, six times the non-Aboriginal rate. This study highlights the urgent need to reduce harmful alcohol use in the NT, which disproportionately affects Aboriginal peoples in rural and remote areas.

Costs and benefits of community water fluoridation in remote Aboriginal communities of the Northern Territory.

OBJECTIVE: To undertake an economic evaluation of community water fluoridation (CWF) in remote communities of the Northern Territory (NT). DESIGN: Dental caries experiences were compared between CWF and non-CWF communities before and after intervention. Costs and benefits of CWF are ascertained from the health sector perspective using water quality, accounting, oral health, dental care and hospitalisation datasets. SETTING AND PARTICIPANTS: Remote Aboriginal population in the NT between 1 January 2008 and 31 December 2020. INTERVENTION: CWF. MAIN OUTCOME MEASURES: Potential economic benefits were estimated by changes in caries scores valued at the NT average dental service costs. RESULTS: Given the total 20-year life span of a fluoridation plant ($1.77 million), the net present benefit of introducing CWF in a typical community of 300-499 population was $3.79 million. For each $1 invested in CWF by government, the estimated long-term economic value of savings to health services ranged from $1.1 (population ≤300) to $16 (population ≥2000) due to reductions in treating dental caries and associated hospitalisations. The payback period ranged from 15 years (population ≤300) to 2.2 years (population ≥2000). CONCLUSIONS: The economic benefits of expanding CWF in remote Aboriginal communities of NT outweigh the costs of installation, operation and maintenance of fluoridation plants over the lifespan of CWF infrastructure for population of 300 or more.

Remoteness, models of primary care and inequity: Medicare under-expenditure in the Northern Territory.

Objective To analyse Medicare expenditure by State/Territory, remoteness, and Indigenous demography to assess funding equality in meeting the health needs of remote Indigenous populations in the Northern Territory. Methods Analytic descriptions of Medicare online reports on services and benefits by key demographic variables linked with Australian Bureau of Statistics data on remoteness and Indigenous population proportion. The Northern Territory Indigenous and non-Indigenous populations were compared with the Australian average between the 2010/2011 and 2019/2020 fiscal years in terms of standardised rates of Medicare services and benefits. These were further analysed using ordinary least squares, simultaneous equations and multilevel models. Results In per capita terms, the Northern Territory receives around 30% less Medicare funds than the national average, even when additional Commonwealth funding for Aboriginal medical services is included. This funding shortfall amounts to approximately AU$80 million annually across both the Medicare Benefits Schedule and Pharmaceutical Benefits Scheme. The multilevel models indicate that providing healthcare for an Aboriginal and Torres Strait Islander person in a remote area involves a Medicare shortfall of AU$531-AU$1041 less Medicare Benefits Schedule benefits per annum compared with a non-Indigenous person in an urban area. Indigenous population proportion, together with remoteness, explained 51% of the funding variation. An age-sex based capitation funding model would correct about 87% of the Northern Territory primary care funding inequality. Conclusions The current Medicare funding scheme systematically disadvantages the Northern Territory. A needs-based funding model is required that does not penalise the Northern Territory population based on the remote primary health care service model.

Effects of turnover and stability of health staff on quality of care in remote communities of the Northern Territory, Australia: a retrospective cohort study.

OBJECTIVES: To evaluate the relationship between markers of staff employment stability and use of short-term healthcare workers with markers of quality of care. A secondary objective was to identify clinic-specific factors which may counter hypothesised reduced quality of care associated with lower stability, higher turnover or higher use of short-term staff. DESIGN: Retrospective cohort study (Northern Territory (NT) Department of Health Primary Care Information Systems). SETTING: All 48 government primary healthcare clinics in remote communities in NT, Australia (2011-2015). PARTICIPANTS: 25 413 patients drawn from participating clinics during the study period. OUTCOME MEASURES: Associations between independent variables (resident remote area nurse and Aboriginal Health Practitioner turnover rates, stability rates and the proportional use of agency nurses) and indicators of health service quality in child and maternal health, chronic disease management and preventive health activity were tested using linear regression, adjusting for community and clinic size. Latent class modelling was used to investigate between-clinic heterogeneity. RESULTS: The proportion of resident Aboriginal clients receiving high-quality care as measured by various quality indicators varied considerably across indicators and clinics. Higher quality care was more likely to be received for management of chronic diseases such as diabetes and least likely to be received for general/preventive adult health checks. Many indicators had target goals of 0.80 which were mostly not achieved. The evidence for associations between decreased stability measures or increased use of agency nurses and reduced achievement of quality indicators was not supported as hypothesised. For the majority of associations, the overall effect sizes were small (close to zero) and failed to reach statistical significance. Where statistically significant associations were found, they were generally in the hypothesised direction. CONCLUSIONS: Overall, minimal evidence of the hypothesised negative effects of increased turnover, decreased stability and increased reliance on temporary staff on quality of care was found. Substantial variations in clinic-specific estimates of association were evident, suggesting that clinic-specific factors may counter any potential negative effects of decreased staff employment stability. Investigation of clinic-specific factors using latent class analysis failed to yield clinic characteristics that adequately explain between-clinic variation in associations. Understanding the reasons for this variation would significantly aid the provision of clinical care in remote Australia.

Understanding and responding to the cost and health impact of short-term health staffing in remote and rural Aboriginal and Torres Strait Islander community-controlled health services: a mixed methods study protocol.

INTRODUCTION: Access to high-quality primary healthcare is limited for remote residents in Australia. Increasingly, remote health services are reliant on short-term or 'fly-in, fly-out/drive-in, drive-out' health workforce to deliver primary healthcare. A key strategy to achieving health service access equity, particularly evident in remote Australia, has been the development of Aboriginal Community Controlled Health Services (ACCHSs). This study aims to generate new knowledge about (1) the impact of short-term staffing in remote and rural ACCHSs on Aboriginal and Torres Strait Islander communities; (2) the potential mitigating effect of community control; and (3) effective, context-specific evidence-based retention strategies. METHODS AND ANALYSIS: This paper describes a 3-year, mixed methods study involving 12 ACCHSs across three states. The methods are situated within an evidence-based programme logic framework for rural and remote primary healthcare services. Quantitative data will be used to describe staffing stability and turnover, with multiple regression analyses to determine associations between independent variables (population size, geographical remoteness, resident staff turnover and socioeconomic status) and dependent variables related to patient care, service cost, quality and effectiveness. Qualitative assessment will include interviews and focus groups with clinical staff, clinic users, regionally-based retrieval staff and representatives of jurisdictional peak bodies for the ACCHS sector, to understand the impact of short-term staff on quality and continuity of patient care, as well as satisfaction and acceptability of services. ETHICS AND DISSEMINATION: The study has ethics approval from the Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research (project number DR03171), Central Australian Human Research Ethics Committee (CA-19-3493), Western Australian Aboriginal Health Ethics Committee (WAAHEC-938) and Far North Queensland Human Research Ethics Committee (HREC/2019/QCH/56393). Results will be disseminated through peer-reviewed journals, the project steering committee and community/stakeholder engagement activities to be determined by each ACCHS.

Remote health workforce turnover and retention: what are the policy and practice priorities?

BACKGROUND: Residents of remote communities in Australia and other geographically large countries have comparatively poorer access to high-quality primary health care. To inform ongoing policy development and practice in relation to remote area health service delivery, particularly in remote Indigenous communities, this review synthesizes the key findings of (1) a comprehensive study of workforce turnover and retention in remote Northern Territory (NT) of Australia and (2) a narrative review of relevant international literature on remote and rural health workforce retention strategies. This synthesis provides a valuable summary of the current state of international knowledge about improving remote health workforce retention. MAIN TEXT: Annual turnover rates of NT remote area nurses (148%) and Aboriginal health practitioners (80%) are very high and 12-month stability rates low (48% and 76%, respectively). In remote NT, use of agency nurses has increased substantially. Primary care costs are high and proportional to staff turnover and remoteness. Effectiveness of care decreases with higher turnover and use of short-term staff, such that higher staff turnover is always less cost-effective. If staff turnover in remote clinics were halved, the potential savings would be approximately A$32 million per annum. Staff turnover and retention were affected by management style and effectiveness, and employment of Indigenous staff. Review of the international literature reveals three broad themes: Targeted enrolment into training and appropriate education designed to produce a competent, accessible, acceptable and 'fit-for-purpose' workforce; addressing broader health system issues that ensure a safe and supportive work environment; and providing ongoing individual and family support. Key educational initiatives include prioritising remote origin and Indigenous students for university entry; maximising training in remote areas; contextualising curricula; providing financial, pedagogical and pastoral support; and ensuring clear, supported career pathways and continuing professional development. Health system initiatives include ensuring adequate funding; providing adequate infrastructure including fit-for-purpose clinics, housing, transport and information technology; offering flexible employment arrangements whilst ensuring a good 'fit' between individual staff and the community (especially with regard to cultural skills); optimising co-ordination and management of services that empower staff and create positive practice environments; and prioritising community participation and employment of locals. Individual and family supports include offering tailored financial incentives, psychological support and 'time out'. CONCLUSION: Optimal remote health workforce stability and preventing excessive 'avoidable' turnover mandates alignment of government and health authority policies with both health service requirements and individual health professional and community needs. Supportive underpinning policies include: Strong intersectoral collaboration between the health and education sectors to ensure a fit-for-purpose workforce;A funding policy which mandates the development and implementation of an equitable, needs-based formula for funding remote health services;Policies that facilitate transition to community control, prioritise Indigenous training and employment, and mandate a culturally safe work context; andAn employment policy which provides flexibility of employment conditions in order to be able to offer individually customised retention packages There is considerable extant evidence from around the world about effective retention strategies that contribute to slowing excessive remote health workforce turnover, resulting in significant cost savings and improved continuity of care. The immediate problem comprises an 'implementation gap' in translating empirical research evidence into actions designed to resolve existing problems. If we wish to ameliorate the very high turnover of staff in remote areas, in order to provide an equitable service to populations with arguably the highest health needs, we need political and executive commitment to get the policy settings right and ensure the coordinated implementation of multiple strategies, including better linking existing strategies and 'filling the gaps' where necessary.

Limited progress in closing the mortality gap for Aboriginal and Torres Strait Islander Australians of the Northern Territory.

OBJECTIVES: To assess whether progress is being made towards reducing Aboriginal and Torres Strait Islander inequality in life expectancy and under-five mortality in the Northern Territory. METHODS: Life tables for five-year periods from 1966-71 to 2011-16 were calculated using standard abridged life table methods with Aboriginal and Torres Strait Islander deaths and population estimates as inputs. The latter were calculated using reverse cohort survival. RESULTS: In 2011-16, life expectancy at birth for the Aboriginal and Torres Strait Islander population was 68.2 years for females and 64.9 years for males. Limited progress in under-five mortality rates has been made in recent years. CONCLUSIONS: Although Aboriginal and Torres Strait Islander life expectancy has increased in the long run, the gap with all-Australian life expectancy has not narrowed. The gap in under-five mortality rates is much lower than it was in the 1960s and 1970s, but progress has been limited over the past decade. Implications for public health: The 'Closing the Gap' target of halving the gap in under-five mortality by 2018 will not be met in the Northern Territory, and there is no evidence yet of progress on the target to eliminate the gap in life expectancy by 2031.

Costs and effects of higher turnover of nurses and Aboriginal health practitioners and higher use of short-term nurses in remote Australian primary care services: an observational cohort study.

OBJECTIVES: To compare the costs and effects of higher turnover of resident nurses and Aboriginal health practitioners and higher use of agency-employed nurses in remote primary care (PC) services and quantify associations between staffing patterns and health outcomes in remote PC clinics in the Northern Territory (NT) of Australia. DESIGN: Observational cohort study, using hospital admission, financial and payroll data for the period 2013-2015. SETTING: 53 NT Government run PC clinics in remote communities. OUTCOME MEASURES: Incremental cost-effectiveness ratios were calculated for higher compared with lower turnover and higher compared with lower use of agency-employed nurses. Costs comprised PC, travel and hospitalisation costs. Effect measures were total hospitalisations and years of life lost per 1000 person-months. Multiple regression was performed to investigate associations between overall health costs and turnover rates and use of agency-employed nurses, after adjusting for key confounders. RESULTS: Higher turnover was associated with significantly higher hospitalisation rates (p<0.001) and higher average health costs (p=0.002) than lower turnover. Lower turnover was always more cost-effective. Average costs were significantly (p<0.001) higher when higher proportions of agency-employed nurses were employed. The probability that lower use of agency-employed nurses was more cost-effective was 0.84. Halving turnover and reducing use of a short-term workforce have the potential to save $32 million annually in the NT. CONCLUSION: High turnover of health staff is costly and associated with poorer health outcomes for Aboriginal peoples living in remote communities. High reliance on agency nurses is also very likely to be cost-ineffective. Investment in a coordinated range of workforce strategies that support recruitment and retention of resident nurses and Aboriginal health practitioners in remote clinics is needed to stabilise the workforce, minimise the risks of high staff turnover and over-reliance on agency nurses and thereby significantly reduce expenditure and improve health outcomes.

Cost impact of high staff turnover on primary care in remote Australia.

Objectives The aim of this study was to estimate the costs of providing primary care and quantify the cost impact of high staff turnover in Northern Territory (NT) remote communities. Methods This cost impact assessment used administrative data from NT Department of Health datasets, including the government accounting system and personnel information and payroll systems between 2004 and 2015, and the primary care information system from 2007 to 2015. Data related to 54 government-managed clinics providing primary care for approximately 27200 Aboriginal and non-Aboriginal people. Main outcome measures were average costs per consultation and per capita, cost differentials by clinic, year and levels of staff turnover. Linear regression and dominance analysis were used to assess the effect of staff turnover on primary care costs, after adjusting for remoteness and weighting analysis by service population. Both current and constant prices were used. Results On average, in constant prices, there was a nearly 10% annual increase in remote clinic expenditure between 2004 and 2015 and an almost 15% annual increase in consultation numbers since 2007. In real terms, the average costs per consultation decreased markedly from A$273 in 2007 to A$197 in 2015, a figure still well above the Medicare bulk-billing rate. The cost differentials between clinics were proportional to staff turnover and remoteness (both P<0.001). A 10% higher annual turnover rate pertains to an A$6.12 increase in costs per consultation. Conclusions High staff turnover exacerbates the already high costs of providing primary care in remote areas, costing approximately A$50 extra per consultation. This equates to an extra A$400000 per clinic per year on average, or A$21million annually for the NT government. Over time, sustained investments in developing a more stable primary care workforce should not only improve primary care in remote areas, but also reduce the costs of excessive turnover and overall service delivery costs. What is known about the topic? Population size and geographical remoteness are important cost drivers in remote clinics, whereas elsewhere in Australia the high use of short-term staff to fill positions has been identified as a major contributor to higher nurse turnover costs and to overall health service costs. Nursing staff expenditure accounts for a large proportion (46%) of total expenditure in NT remote health services, whereas expenditure on Aboriginal Health Practitioners (AHPs) comprises only 6%. Annual nurse turnover rates in remote NT clinics average approximately 150%, whereas levels of 40% in other contexts are considered high. What does this paper add? Annual expenditure for NT remote clinics has increased, on average, by 10% per annum between 2004 and 2015, but small declines in real expenditure have been observed from a maximum in 2012. Expenditure on nursing staff comprises 40% of overall expenditure in remote clinics, whereas expenditure on AHPs comprises less than 5%. The cost impact of every 10% increase in remote nurse and AHP annual turnover has been quantified as an extra A$6.12 per primary care consultation, which equates, on average, to an extra A$400000 per remote clinic, and an extra A$21million overall for the NT Department of Health each year. The average real expenditure per primary care consultation has decreased from A$273 in 2007 to A$197 in 2015, representing a statistically significant linear trend reduction of A$7.71 per consultation annually. What are the implications for practitioners (and other decision-makers)? Adjusting policy settings away from the high use of short-term staff to investment in appropriate training 'pipelines' for the remote primary care workforce may, in the medium and longer term, result in reduced turnover of resident staff and associated cost savings. Targeted recruitment and retention strategies that ensure individual primary care workers are an optimal fit with the remote communities in which they work, together with improved professional and personal support for staff residing in remote communities, may also help reduce turnover, improve workforce stability and lead to stronger therapeutic relationships and better health outcomes.

Projecting demands for renal replacement therapy in the Northern Territory: a stochastic Markov model.

Objective The aim of the present study was to evaluate the potential effects of different health intervention strategies on demand for renal replacement therapy (RRT) services in the Northern Territory (NT). Methods A Markov chain simulation model was developed to estimate demand for haemodialysis (HD) and kidney transplantation (Tx) over the next 10 years, based on RRT registry data between 2002 and 2013. Four policy-relevant scenarios were evaluated: (1) increased Tx; (2) increased self-care dialysis; (3) reduced incidence of end-stage kidney disease (ESKD); and (4) reduced mortality. Results There were 957 new cases of ESKD during the study period, with most patients being Indigenous people (85%). The median age was 50 years at onset and 57 years at death, 12 and 13 years younger respectively than Australian medians. The prevalence of RRT increased 5.6% annually, 20% higher than the national rate (4.7%). If current trends continue (baseline scenario), the demand for facility-based HD (FHD) would approach 100000 treatments (95% confidence interval 75000-121000) in 2023, a 5% annual increase. Increasing Tx (0.3%), increasing self-care (5%) and reducing incidence (5%) each attenuate demand for FHD to ~70000 annually by 2023. Conclusions The present study demonstrates the effects of changing service patterns to increase Tx, self-care and prevention, all of which will substantially attenuate the growth in FHD requirements in the NT. What is known about the topic? The burden of ESKD is projected to increase in the NT, with demand for FHD doubling every 15 years. Little is known about the potential effect of changes in health policy and clinical practice on demand. What does this paper add? This study assessed the usefulness of a stochastic Markov model to evaluate the effects of potential policy changes on FHD demand. What are the implications for practitioners? The scenarios simulated by the stochastic Markov models suggest that changes in current ESKD management practices would have a large effect on future demand for FHD.

Long-term trends in supply and sustainability of the health workforce in remote Aboriginal communities in the Northern Territory of Australia.

BACKGROUND: International evidence suggests that a key to improving health and attaining more equitable health outcomes for disadvantaged populations is a health system with a strong primary care sector. Longstanding problems with health workforce supply and turnover in remote Aboriginal communities in the Northern Territory (NT), Australia, jeopardise primary care delivery and the effort to overcome the substantial gaps in health outcomes for this population. This research describes temporal changes in workforce supply in government-operated clinics in remote NT communities through a period in which there has been a substantial increase in health funding. METHODS: Descriptive and Markov-switching dynamic regression analysis of NT Government Department of Health payroll and financial data for the resident health workforce in 54 remote clinics, 2004-2015. The workforce included registered Remote Area Nurses and Midwives (nurses), Aboriginal Health Practitioners (AHPs) and staff in administrative and logistic roles. MAIN OUTCOME MEASURES: total number of unique employees per year; average annual headcounts; average full-time equivalent (FTE) positions; agency employed nurse FTE estimates; high and low supply state estimates. RESULTS: Overall increases in workforce supply occurred between 2004 and 2015, especially for administrative and logistic positions. Supply of nurses and AHPs increased from an average 2.6 to 3.2 FTE per clinic, although supply of AHPs has declined since 2010. Each year almost twice as many individual NT government-employed nurses or AHPs are required for each FTE position. Following funding increases, some clinics doubled their nursing and AHP workforce and achieved relative stability in supply. However, most clinics increased staffing to a much smaller extent or not at all, typically experiencing a "fading" of supply following an initial increase associated with greater funding, and frequently cycling periods of higher and lower staffing levels. CONCLUSIONS: Overall increases in workforce supply in remote NT communities between 2004 and 2015 have been affected by continuing very high turnover of nurses and AHPs, and compounded by recent declines in AHP supply. Despite substantial increases in resourcing, an imperative remains to implement more robust health service models which better support the supply and retention of resident health staff.

Cost-effectiveness of stroke care in Aboriginal and non-Aboriginal patients: an observational cohort study in the Northern Territory of Australia.

OBJECTIVE: To assess cost-effectiveness of stroke care for Aboriginal compared with non-Aboriginal patients in the Northern Territory (NT), Australia. DESIGN: Cost-effectiveness analysis using data from a cohort-based follow-up study of stroke incidents. SETTING: Public hospitals in the NT from 1992 to 2013. PARTICIPANTS: Individual patient data were extracted and linked from the hospital inpatient and primary care information systems. OUTCOME MEASURES: Incremental cost-effectiveness ratios were calculated and assessed graphically. Survival time was used to measure effectiveness of stroke care, in comparison with the net costs per life-year gained, from a healthcare perspective, by applying multivariable models to account for time-dependent confounding. RESULTS: 2158 patients with incident stroke were included (1171 males, 1178 aged <65 years and 966 from remote areas). 992 patients were of Aboriginal origin (46.0%, disproportionately higher than the population proportion of 27%). Of all cases, 42.6% were ischaemic and 29.8% haemorrhagic stroke. Average age of stroke onset was 51 years in Aboriginal, compared with 65 years in non-Aboriginal patients (p<0.001). Aboriginal patients had 71.4% more hospital bed-days, and 7.4% fewer procedures than non-Aboriginal patients. Observed health costs averaged $A50 400 per Aboriginal compared with $A33 700 per non-Aboriginal patient (p<0.001). The differential costs and effects for each population were distributed evenly across the incremental cost-effectiveness plane threshold line, indicating no difference in cost-effectiveness between populations. After further adjustment for confounding and censoring, cost-effectiveness appeared greater for Aboriginal than non-Aboriginal patients, but this was not statistically significant (p=0.25). CONCLUSIONS: Stroke care for the NT Aboriginal population is at least as cost-effective as the non-Aboriginal population. Stroke care presents worthwhile and equitable survival benefits for Aboriginal patients in remote communities, notwithstanding their higher level burden of disease. These findings are relevant for healthcare planning and policy development regarding equal access to stroke care for Aboriginal patients.

Progress in closing the gap in life expectancy at birth for Aboriginal people in the Northern Territory, 1967-2012.

OBJECTIVES: To compare long term changes in mortality and life expectancy at birth (LE) of Aboriginal people in the Northern Territory and of the overall Australian population; to determine the contributions of changes in mortality in specific age groups to changes in LE for each population. DESIGN, SETTING, PARTICIPANTS: Retrospective trend analysis of death and LE data for the NT Aboriginal and Australian populations, 1967-2012. MAIN OUTCOME MEASURES: LE estimates based on abridged life tables; mortality estimates (deaths per 100 000 population); and age decomposition of LE changes by sex and time period. RESULTS: Between 1967 and 2012, LE increased for both NT Aboriginal and all Australians; the difference in LE between the two populations declined by 4.6 years for females, but increased by one year for males. Between 1967-1971 and 1980-1984, LE of NT Aboriginal people increased rapidly, particularly through reduced infant mortality; from 1980-1984 to 1994-1998, there was little change; from 1994-1998 to 2008-2012, there were modest gains in older age groups. Decomposition by age group identified the persistent and substantial contribution of the 35-74-year age groups to the difference in LE between NT Aboriginal people and all Australians. CONCLUSIONS: Early gains in LE for NT Aboriginal people are consistent with improvements in nutrition, maternal and infant care, and infectious disease control. A rapid epidemiological transition followed, when LE gains in younger age groups plateaued and non-communicable diseases became more prevalent. Recent LE gains, across all adult age groups, are consistent with improved health service access and chronic disease management. If LE is to continue improving, socio-economic disadvantage and its associated risks must be reduced.

Different survival analysis methods for measuring long-term outcomes of Indigenous and non-Indigenous Australian cancer patients in the presence and absence of competing risks.

BACKGROUND: Net survival is the most common measure of cancer prognosis and has been used to study differentials in cancer survival between ethnic or racial population subgroups. However, net survival ignores competing risks of deaths and so provides incomplete prognostic information for cancer patients, and when comparing survival between populations with different all-cause mortality. Another prognosis measure, "crude probability of death", which takes competing risk of death into account, overcomes this limitation. Similar to net survival, it can be calculated using either life tables (using Cronin-Feuer method) or cause of death data (using Fine-Gray method). The aim of this study is two-fold: (1) to compare the multivariable results produced by different survival analysis methods; and (2) to compare the Cronin-Feuer with the Fine-Gray methods, in estimating the cancer and non-cancer death probability of both Indigenous and non-Indigenous cancer patients and the Indigenous cancer disparities. METHODS: Cancer survival was investigated for 9,595 people (18.5% Indigenous) diagnosed with cancer in the Northern Territory of Australia between 1991 and 2009. The Cox proportional hazard model along with Poisson and Fine-Gray regression were used in the multivariable analysis. The crude probabilities of cancer and non-cancer methods were estimated in two ways: first, using cause of death data with the Fine-Gray method, and second, using life tables with the Cronin-Feuer method. RESULTS: Multivariable regression using the relative survival, cause-specific survival, and competing risk analysis produced similar results. In the presence of competing risks, the Cronin-Feuer method produced similar results to Fine-Gray in the estimation of cancer death probability (higher Indigenous cancer death probabilities for all cancers) and non-cancer death probabilities (higher Indigenous non-cancer death probabilities for all cancers except lung cancer and head and neck cancers). Cronin-Feuer estimated much lower non-cancer death probabilities than Fine-Gray for non-Indigenous patients with head and neck cancers and lung cancers (both smoking-related cancers). CONCLUSION: Despite the limitations of the Cronin-Feuer method, it is a reasonable alternative to the Fine-Gray method for assessing the Indigenous survival differential in the presence of competing risks when valid and reliable subgroup-specific life tables are available and cause of death data are unavailable or unreliable.

Assessing the Impact and Cost of Short-Term Health Workforce in Remote Indigenous Communities in Australia: A Mixed Methods Study Protocol.

BACKGROUND: Remote Australia is a complex environment characterized by workforce shortages, isolated practice, a large resident Indigenous population, high levels of health need, and limited access to services. In recent years, there has been an increasing trend of utilizing a short-term visiting (fly-in/fly-out) health workforce in many remote areas. However, there is a dearth of evidence relating to the impact of this transitory workforce on the existing resident workforce, consumer satisfaction, and the effectiveness of current services. OBJECTIVE: This study aims to provide rigorous empirical data by addressing the following objectives: (1) to identify the impact of short-term health staff on the workload, professional satisfaction, and retention of resident health teams in remote areas; (2) to identify the impact of short-term health staff on the quality, safety, and continuity of patient care; and (3) to identify the impact of short-term health staff on service cost and effectiveness. METHODS: Mixed methods will be used. Administrative data will be extracted that relates to all 54 remote clinics managed by the Northern Territory Department of Health, covering a population of 35,800. The study period will be 2010 to 2014. All 18 Aboriginal Community-Controlled Health Services in the Northern Territory will also be invited to participate. We will use these quantitative data to describe staffing stability and turnover in these communities, and then utilize multiple regression analyses to determine associations between the key independent variables of interest (resident staff turnover, stability or median survival, and socioeconomic status, community size, and per capita funding) and dependent variables related to patient care, service cost, quality, and effectiveness. The qualitative component of the study will involve in-depth interviews and focus groups with staff and patients, respectively, in six remote communities. Three communities will be high staff turnover communities and three characterized by low turnover. This will provide information on service quality, impact on resident and visiting staff, and patient satisfaction with the services. The research team will work with staff, patients, and a key stakeholder group of senior policymakers to develop workforce strategies to maintain or attain remote health workforce stability. RESULTS: The study commenced in 2015. As of October 2016, fieldwork has been almost completed and quantitative analysis has commenced. Results are expected to be published in 2017. CONCLUSIONS: The study has commenced, but it is too early to provide results or conclusions.

The economic benefits of eliminating Indigenous health inequality in the Northern Territory.

OBJECTIVES: To estimate the potential economic benefits of closing the Indigenous health gap by quantifying the economic burden associated with Indigenous health inequality in the Northern Territory. DESIGN, SETTING AND PARTICIPANTS: A cost-of-illness study was conducted from a societal perspective for NT residents for the period 2009-2013. The total cost of the Indigenous health gap was estimated by calculating the cost differences between Indigenous and non-Indigenous populations in health services, lost productivity and lost life-years on the basis of data from the 2011 census, as well as on burden of disease, health expenditure, welfare, taxation and other published financial data. MAIN OUTCOME MEASURES: The total and per capita costs in three categories were analysed: direct health costs, the indirect costs of lost productivity, and intangible costs associated with premature deaths. RESULTS: The excess cost of the Indigenous health gap was estimated to be $16.7 billion for the 5-year study period, equivalent to 19% of the NT gross state product. The excess costs associated with the Indigenous health gap included 22% caused by higher health expenditure for servicing the gap, 35% attributable to lost productivity caused by illness, and 43% associated with lost life-years. CONCLUSIONS: Our findings highlight the long term potential benefits of the Australian governments' Closing the Gap initiative for the NT. Successful implementation of this initiative will require improving government services by combating discrimination, developing local economies, overcoming poverty, and reducing the disadvantages associated with remoteness.

Lifetime direct costs of stroke for indigenous patients adjusted for comorbidities.

OBJECTIVE: To estimate the lifetime health costs of stroke by comorbidity and indigenous status in Australia's Northern Territory (NT), where a large indigenous population resides. METHODS: Incidence-based cohort study using linked hospital, primary care, and Pharmaceutical Benefits Scheme data to estimate lifetime direct costs for hemorrhagic stroke (HS), ischemic stroke (IS) and undetermined stroke (UND). Inverse probability-weighted survival analysis was adapted to adjust for loss to follow-up. Log-linear modeling was used to analyze the net stroke costs and marginal comorbidity costs by indigenous status. RESULTS: Between 1992 and 2013, there were 3,733 patients admitted with stroke in the NT (74% were incident strokes, 38% indigenous, 56% male, 56% IS). In 2012/2013 Australian dollars, the estimated lifetime cost for an incident stroke in NT was $302,538 AUD ($207,218 USD) per patient. The net lifetime cost per non-indigenous female HS patient aged <45 years without comorbidity (reference category) was $72,773 AUD ($49,844 USD); IS cost 54% and UND 9% more than HS (p < 0.01). Stroke cost was greater for indigenous patients (∆ 44%) and patients with renal disease (∆ 71%), coronary heart disease (∆ 44%), hypertension (∆ 30%), and diabetes (∆ 28%) in comparison with the reference category (all p < 0.01). Chronic obstructive pulmonary disease, atrial fibrillation, depression, and cancer were negatively associated with lifetime stroke costs. CONCLUSIONS: The costs of stroke for indigenous people and patients with different comorbidities are substantial and an integrated prevention strategy is needed.