The Australian Health Care Homes trial: quality of care and patient outcomes. A propensity score-matched cohort study.

OBJECTIVE: To assess the impact of the Health Care Homes (HCH) primary health care initiative on quality of care and patient outcomes. DESIGN, SETTING: Quasi-experimental, matched cohort study; analysis of general practice data extracts and linked administrative data from ten Australian primary health networks, 1 October 2017 - 30 June 2021. PARTICIPANTS: People with chronic health conditions (practice data extracts: 9811; linked administrative data: 10 682) enrolled in the HCH 1 October 2017 - 30 June 2019; comparison groups of patients receiving usual care (1:1 propensity score-matched). INTERVENTION: Participants were involved in shared care planning, provided enhanced access to team care, and encouraged to seek chronic condition care at the HCH practice where they were enrolled. Participating practices received bundled payments based on clinical risk tier. MAIN OUTCOME MEASURES: Access to care, processes of care, diabetes-related outcomes, hospital service use, risk of death. RESULTS: During the first twelve months after enrolment, the mean numbers of general practitioner encounters (rate ratio, 1.14; 95% confidence interval [CI], 1.11-1.17) and Medicare Benefits Schedule claims for allied health services (rate ratio, 1.28; 95% CI, 1.24-1.33) were higher for the HCH than the usual care group. Annual influenza vaccinations (relative risk, 1.20; 95% CI, 1.17-1.22) and measurements of blood pressure (relative risk, 1.09; 95% CI, 1.08-1.11), blood lipids (relative risk, 1.19; 95% CI, 1.16-1.21), glycated haemoglobin (relative risk, 1.06; 95% CI, 1.03-1.08), and kidney function (relative risk, 1.13; 95% CI, 1.11-1.15) were more likely in the HCH than the usual care group during the twelve months after enrolment. Similar rate ratios and relative risks applied in the second year. The numbers of emergency department presentations (rate ratio, 1.09; 95% CI, 1.02-1.18) and emergency admissions (rate ratio, 1.13; 95% CI, 1.04-1.22) were higher for the HCH group during the first year; other differences in hospital use were not statistically significant. Differences in glycaemic and blood pressure control in people with diabetes in the second year were not statistically significant. By 30 June 2021, 689 people in the HCH group (6.5%) and 646 in the usual care group (6.1%) had died (hazard ratio, 1.07; 95% CI, 0.96-1.20). CONCLUSIONS: The HCH program was associated with greater access to care and improved processes of care for people with chronic diseases, but not changes in diabetes-related outcomes, most measures of hospital use, or risk of death.

Physician responses to insurance benefit restrictions: The case of ophthalmology.

This study examines the impact of social insurance benefit restrictions on physician behaviour, using ophthalmologists as a case study. We examine whether ophthalmologists use their market power to alter their fees and rebates across services to compensate for potential policy-induced income losses. The results show that ophthalmologists substantially reduced their fees and rebates for services directly targeted by the benefit restriction compared to other medical specialists' fees and rebates. There is also some evidence that they increased their fees for services that were not targeted. High-fee charging ophthalmologists exhibited larger fee and rebate responses while the low-fee charging group raise their rebates to match the reference price provided by the policy environment.

In-hospital outcomes by insurance type among patients undergoing percutaneous coronary interventions for acute myocardial infarction in New South Wales public hospitals.

BACKGROUND: International evidence suggests patients receiving cardiac interventions experience differential outcomes by their insurance status. We investigated outcomes of in-hospital care according to insurance status among patients admitted in public hospitals with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). METHODS: We conducted a cohort study within the Australian universal health care system with supplemental private insurance. Using linked hospital and mortality data, we included patients aged 18 + years admitted to New South Wales public hospitals with AMI and undergoing their first PCI from 2017-2020. We measured hospital-acquired complications (HACs), length of stay (LOS) and in-hospital mortality among propensity score-matched private and publicly funded patients. Matching was based on socio-demographic, clinical, admission and hospital-related factors. RESULTS: Of 18,237 inpatients, 30.0% were privately funded. In the propensity-matched cohort (n = 10,630), private patients had lower rates of in-hospital mortality than public patients (odds ratio: 0.59, 95% CI: 0.45-0.77; approximately 11 deaths avoided per 1,000 people undergoing PCI procedures). Mortality differences were mostly driven by STEMI patients and those from major cities. There were no significant differences in rates of HACs or average LOS in private, compared to public, patients. CONCLUSION: Our findings suggest patients undergoing PCI in Australian public hospitals with private health insurance experience lower in-hospital mortality compared with their publicly insured counterparts, but in-hospital complications are not related to patient health insurance status. Our findings are likely due to unmeasured confounding of broader patient selection, socioeconomic differences and pathways of care (e.g. access to emergency and ambulatory care; delays in treatment) that should be investigated to improve equity in health outcomes.

Geographic variation in out-of-pocket costs for radiation oncology services.

OBJECTIVES: To examine out-of-pocket costs incurred by patients for radiation oncology services and their variation by geographic location. DESIGN: Analysis of patient-level Medical Benefits Schedule (MBS) claims data linked with data from the Sax Institute 45 and Up Study. SETTING, PARTICIPANTS: People who received Medicare-subsidised radiation oncology services in New South Wales, 2006-2017. MAIN OUTCOME MEASURE: Mean out-of-pocket costs for an episode of radiation oncology (during 90 days from start of radiotherapy planning service), by geographic location (postcode-based), overall and after excluding episodes with no out-of-pocket costs (fully bulk-billed). RESULTS: During 2006-2017, 12 724 people received 15 506 episodes of radiation oncology care in 25 postcode-defined geographic areas. The proportion of episodes for which the out-of-pocket cost was less than $1 increased from 39% in 2006 to 76% in 2017; the proportion for which out-of-pocket costs exceeded $500 declined from 43% in 2006 to 10% in 2014, before increasing to 17% in 2017. For care episodes with non-zero out-of-pocket costs, the mean amount rose from around $1186 to $1611 per episode of care during 2006-2017. The proportion of radiation oncology episodes bulk-billed exceeded 90% in nine areas; in seven areas, all with exclusively private care provision of radiation oncology, it was 21% or smaller. Within geographic areas, out-of-pocket costs for individual care episodes varied widely; in ten areas with lower bulk-billing rates, the interquartile range for costs ranged from $240 to $1857. CONCLUSION: Out-of-pocket costs are an important determinant of access to care. Although radiotherapy costs for most people are moderate, some face very high costs, and these vary markedly by location. It is important to ensure that radiation oncology services remain affordable for all people who need treatment.

Health care use in response to health shocks: Does socio-economic status matter?

We investigate how utilization of primary care, specialist care, and emergency department (ED) care (and the mix across the three) changes in response to a change in health need. We determine whether any changes in utilization are impacted by socio-economic status. The use of a unique Australian data set that consists of a large survey linked to multiple years of detailed administrative records enables us to better control for individual heterogeneity and allows us to exploit changes in health that are related to the onset of two health shocks: a new diagnosis of diabetes and heart disease. We extend the analysis by also examining changes to patient out-of-pocket costs. We find significant differences in the mix between primary and specialist care use according to income and type of health shock but no evidence of using ED as a substitute for other care. Our results indicate that low- and high-income patients navigate very different pathways for their care following the onset of diabetes and to a lesser extent heart disease. These pathways appear to be chosen on the basis of ability to pay, rather than the most effective or efficient bundle of care delivered through a combination of GP and specialist care.

Improving outcomes for marginalised rural families through a care navigator program.

ISSUES ADDRESSED: Health promotion programs are based on the premise that health and well-being is impacted by a person's living circumstances, not just factors within the health arena. Chronic health issues require integrated services from health and social services. Navigator positions are effective in assisting chronic disease patients to access services. This family program in a small rural town in Western New South Wales targeted marginalised families with children under five years of age with a chronic health issue. The navigator developed a cross-sectoral care plan to provide services to address family issues. The study aimed to identify navigator factors supporting improved family outcomes. METHODS: Participants included parent/clients (n = 4) and the cross-sectoral professional team (n = 9) involved in the program. During the interview, participants were asked about their perspective of the program. Interview transcripts were thematically analysed informed by the Chronic Care Model underpinned by Health Promotion Theory. RESULTS: The program improved client family's lives in relation to children's health and other family health and social issues. Trust in the care navigator was the most important factor for parents to join and engage with the program. The care navigator role was essential to maintaining client engagement and supporting cooperation between services to support families. CONCLUSION: Essential care navigator skills were commitment, ability to persuade and empower parents and other professionals. SO WHAT?: This descriptive study demonstrated the positive influence of the care navigator and the program on high risk families in a small isolated community. It can be adopted by other communities to improve life for families at risk.

Supplier-induced demand for urgent after-hours primary care services.

Australia is one of nine Organisation for Economic Co-operation and Development (OECD) countries that utilise deputising services to provide after-hours primary care. While the provision of this service is supposed to be on behalf of regular general practitioners, businesses have adapted to the financial incentives on offer and are directly advertising their services to consumers emphasising patient convenience and no copayments. The introduction of corporate entities has changed the way that deputising services operate. We use a difference-in-difference approach to estimate the amount of growth in urgent after-hours services that was not warranted by urgent medical need. These estimates are calculated by comparing the growth in urgent attendances that occurred during times of the day that are classified as "after-hours" (e.g., 6 pm-11 pm Monday to Friday) with those that are classified as "unsociable-hours" (e.g., 11 pm-7 am Monday to Friday). For the national level, we estimate that 593,141 unwarranted attendances were induced as urgent after-hours consultations in a single year. This corresponds to a national estimate of the total benefits paid for unwarranted demand of approximately $77 million. While deputising services have filled a short-fall in after-hours services, the overuse of urgent items has meant that that this has been achieved at a considerable cost to the Australian Government.

The Rise and Fall in Out-of-Pocket Costs in Australia: An Analysis of the Strengthening Medicare Reforms.

After a period of steady decline, out-of-pocket (OOP) costs for general practitioner (GP) consultations in Australia began increasing in the mid-1990s. Following the rising community concerns about the increasing costs, the Australian Government introduced the Strengthening Medicare reforms in 2004 and 2005, which included a targeted incentive for GPs to charge zero OOP costs for consultations provided to children and concession cardholders (older adults and the poor), as well as an increase in the reimbursement for all GP visits. This paper examines the impact of those reforms using longitudinal survey and administrative data from a large national sample of women. The findings suggest that the reforms were effective in reducing OOP costs by an average of $A0.40 per visit. Decreases in OOP costs, however, were not evenly distributed. Those with higher pre-reform OOP costs had the biggest reductions in OOP costs, as did those with concession cards. However, results also reveal increases in OOP costs for most people without a concession card. The analysis suggests that there has been considerable heterogeneity in GP responses to the reforms, which has led to substantial changes in the fees charged by doctors and, as a result, the OOP costs incurred by different population groups. Copyright © 2016 John Wiley & Sons, Ltd.

Bleeding Hearts, Profiteers, or Both: Specialist Physician Fees in an Unregulated Market.

This study shows that, in an unregulated fee-setting environment, specialist physicians practise price discrimination on the basis of their patients' income status. Our results are consistent with profit maximisation behaviour by specialists. These findings are based on a large population survey that is linked to administrative medical claims records. We find that, for an initial consultation, specialist physicians charge their high-income patients AU$26 more than their low-income patients. While this gap equates to a 19% lower fees for the poorest patients (bottom 25% of the household income distribution), it is unlikely to remove the substantial financial barriers they face in accessing specialist care. There are large variations across specialties, with neurologists exhibiting the largest fee gap between the high-income and low-income patients. Several possible channels for deducing the patient's income are examined. We find that patient characteristics such as age, health concession card status and private health insurance status are all used by specialists as proxies for income status. These characteristics are particularly important to further practise price discrimination among the low-income patients but are less relevant for the high-income patients. Copyright © 2016 John Wiley & Sons, Ltd.

Paying hospitals for quality: can we buy better care?

Economic theory predicts that changing financial rewards will change behaviour. This is valid in terms of service use; higher costs reduce health care use. It should follow that paying more for quality should improve quality; however, the research evidence thus far is equivocal, particularly in terms of better health outcomes. One reason is that "financial incentives" encompass a range of payment types and sizes of reward. The design of financial incentives should take into account the desired change and the context of existing payment structures, as well as other strategies for improving quality; further, financial incentives should be fair in rewarding effort. Financial incentives may have unintended consequences, including rewarding hospitals for selecting patients with lower risks, diverting attention from the overall patient population to specific conditions, gaming, and "crowding out" or displacing intrinsic motivation. Managers and clinicians can only respond to financial incentives if they have the data, tools and skills to effect changes. Australia should not adopt widespread use of financial incentives for improving quality in health care without careful consideration of their design and context, the potential for unintended effects (particularly beyond their immediate targets), and evaluation of outcomes. The relative cost-effectiveness of financial incentives compared with, or in concert with, other strategies should also be considered.

Appropriateness of Prescriptions of Recommended Treatments in Organisation for Economic Co-operation and Development Health Systems: Findings Based on the Long-Term Registry of the European Society of Cardiology on Heart Failure.

OBJECTIVE: This observational study aimed to identify clinical variables and health system characteristics associated with incomplete guideline application in drug treatment of patients with chronic heart failure (HF) across 15 countries. METHODS: Three data sets were used: European Society of Cardiology Heart Failure Registry, Organisation for Economic Co-operation and Development's Health System Characteristics Survey, and Organisation for Economic Co-operation and Development Health Statistics 2013. Patient and country variables were examined by multilevel, multiple logistic regression. The study population consisted of ambulatory patients with chronic HF and reduced ejection fraction. Inappropriateness of prescription of pharmacological treatments was defined as patients not prescribed at least one of the two recommended treatments (angiotensin-converting enzyme inhibitors/angiotensin-receptor blockers and beta-blockers) or treated with both medications but at suboptimal dosage and in absence of documented contraindication/intolerance. RESULTS: Of 4605 patients, 1097 (23.8%) received inappropriate drug prescriptions with a large variation within and across countries, with 18.5% of the total variability accounted for by between-country health structure characteristics. Patient-level characteristics such as having mitral regurgitation (odds ratio 1.4; 95% confidence interval 1.1-1.7) was significantly associated with inappropriate prescription of recommended drugs, whereas chronic obstructive pulmonary disease (odds ratio 0.7; 95% confidence interval 0.5-0.9) was associated with more appropriate prescriptions. Among the country-level variables, incentives or obligation to comply with guidelines increased the probability of prescription appropriateness. CONCLUSIONS: Combining clinical variables with health system characteristics is a promising exercise to explain the appropriateness of recommended drug prescriptions. Such an understanding can help decision makers to design more effective policies to improve adherence to guidelines, improve health care outcomes, and potentially reduce costs.

Impact of time of diagnosis on out-of-pocket costs of cancer treatment, a side effect of health insurance design in Australia.

The Extended Medicare Safety Net (EMSN) in Australia was designed to provide financial assistance to patients with high out-of-pocket (OOP) costs for medical treatment. The EMSN works on a calendar year basis. Once a patient incurs a specified amount of OOP costs, the EMSN provides additional financial benefits for the remainder of the calendar year. Its design is similar to many types of insurance products that have large deductibles and are applied on a calendar year basis. This study examines if the annual quarter within which a patient is diagnosed with cancer has an impact on the OOP costs incurred for treatment. We use administrative linked data from the Sax Institute's 45 and Up Study. Our results indicate that the timing of cancer diagnosis has a significant impact on OOP costs. Specifically, patients diagnosed in the fourth quarter of the calendar year experience significantly higher OOP costs compared to those diagnosed in the first quarter of the year. This pattern persists after controlling for different types of cancer and different stages of cancer and robustness checks. These findings have important implications for the design of the EMSN, as well as other insurance products.

Specialist Palliative Care and Health Care Costs at the End of Life.

BACKGROUND/AIMS: The use and costs of health care rise substantially in the months prior to death, and although the use of palliative care services may be expected to lead to less costly care, the evidence is mixed. We analysed the costs of care over the last year of life and the extent to which these are associated with the use and duration of specialist palliative care (SPC) for decedents who died from cancer or another life-limiting illness. METHODS: The decedents were participants in a cohort study of older residents of the state of New South Wales, Australia. Using linked survey and administrative health data from 2007 to 2016, two cohorts were identified: n = 10,535 where the cause of death was cancer; and n = 11,179 where the cause of death was another life-limiting illness. Costs of various types were analysed with separate risk-adjusted linear regression models for the last 1, 3, 6, 9 and 12 months before death and for both cohorts. SPC was categorised according to time to death from first contact with the service as 1-7 days, 7-30 days, 30-180 days and more than 180 days. RESULTS: SPC use was higher among the cancer cohort (30.0%) relative to the non-cancer cohort (4.8%). The mean costs over the final year of life were AU$55,037 (SD 45,059) for the cancer cohort and AU$35,318 (SD 41,948) for the non-cancer cohort. Earlier use of SPC was associated with higher costs over the last year of life but lower costs in the last 1 and 3 months for both cohorts. Initiating SPC use more than 180 days before death was associated with a mean difference relative to the no SPC group of AU$15,590 (95% CI 10,617 to 20,562) and AU$13,739 (95% CI 733 to 26,746) over the last year of life for those dying from cancer and another illness, respectively. The same differences over the last month of life were - AU$2810 (95% CI -  3945 to -  1676) and - AU$4345 (95% CI -  6625 to - 2066). Admitted hospital care was the major driver of costs, with longer SPC associated with lower rates of death in hospital for both cohorts. CONCLUSION: Early initiation of SPC was associated with higher costs over the last year of life and lower costs over the last months of life. This was the case for both the cancer and non-cancer cohorts, and appeared to be largely attributed to reduced hospitalisation. Although further investigation is required, our results suggest that expanding the availability of SPC services to provide more equitable access could enable patients to spend more time at their usual place of residence, reduce pressure on inpatient services and facilitate death at home when that is preferred.

Understanding the costs of care for cystic fibrosis: an analysis by age and health state.

OBJECTIVES: Cystic fibrosis (CF) is an inherited disease that requires more intensive treatments as the disease progresses. Recent medical advancements have improved survival but have also increased costs. Our lack of understanding on the relationship between disease severity and lifetime health care costs is a major impediment to the timely economic assessment of new treatments. METHODS: Using data from three waves of the Australian Cystic Fibrosis Australia Data Registry, we estimate the annual costs of CF care by age and health state. We define health states on the basis of annual lung-function scores and patient's organ transplant status. We exploit the longitudinal nature of the data to model disease progression, and we use this to estimate lifetime health care costs. RESULTS: The mean annual health care cost for treating CF is US $15,571. Costs for patients with mild, moderate, and severe disease are US $10,151, US $25,647, and US $33,691, respectively. Lifetime health care costs are approximately US $306,332 (3.5% discount rate). The majority of costs are accounted for by hospital inpatients (58%), followed by pharmaceuticals (29%), medical services (10%), complications (2%), and diagnostic tests (1%). CONCLUSIONS: Our study is the first of its kind using the Australian Cystic Fibrosis Data Registry, and demonstrates the utility of longitudinal registry data for the purpose of economic analysis. Our results can be used as an input to future economic evaluations by providing analysts with a better understanding of the long-term cost impact when new treatments are developed.

Surgeons' views of health technology assessment in Australia: online pilot survey.

INTRODUCTION: Many governments have introduced health technology assessment (HTA) as an important tool to manage the uptake and use of health-related technologies efficiently. Although surgeons play a central role in the uptake and diffusion of new technologies, little is known about their opinion and understanding of the HTA role and process. METHODS: A cross-sectional pilot study was conducted using an online questionnaire which was distributed to Fellows of the Royal Australasian College of Surgeons over a 4-week period. Information was sought about knowledge and views of the HTA process. Descriptive statistics were used to summarize the data, frequencies, and proportions were calculated. RESULTS: Sixty-two surgeons completed the survey; of these, 55 percent reported their primary work place as a public hospital. Twenty-four percent of the participants reported that they had never heard of the HTA agency and 60 percent reported that surgical procedures are most likely to be introduced in the Australian healthcare system at the public hospital level (which is beyond the HTA's scope and dealt with at a state level). However, 61 percent considered that decisions about funding and adoption of new technologies should take place at the national level. CONCLUSIONS: This survey provides some evidence that many surgeons remain unaware of the federal government's HTA process but still value evidence-based information. In order for HTA to be an effective aid to rational adoption of health-related technologies, there is a need for an evidence-based approach that is integrated and is accepted and understood by the medical professions.

Incorporating Safety and Quality Measures Into Australia's Activity-Based Funding of Public Hospital Services.

In a bid to improve quality of care, numerous countries have incorporated rewards and penalties into the funding and pricing of hospital services. This paper outlines recent advances in Australia to incorporate financial penalties for hospital acquired complications (HACs) and avoidable hospital readmissions (AHRs) adjustments into the funding of public hospital services. It describes the work in the development of suitable measures to identify episodes, the design of the analytical approach used for risk adjustment and the calculation of the funding implications including dampening effects to account for the level of risk. Using the 2019 to 20 round of data collection, this paper reports on the risk adjustment analysis, incremental costs of HACs and AHRs, and the funding dampening effects, the paper further discusses the implementation strategies undertaken by the Independent Health and Aged Care Pricing Authority (IHACPA) to ensure transparency, stakeholder consultation and engagement. The paper argues that both the technical development and its implementation strategies have been central to making safety and quality an integral and accepted part of Australia's public hospital funding arrangements.

Higher fees and out-of-pocket costs in radiotherapy point to a need for funding reform.

Objective To elucidate the policy implications of recent trends in the funding of radiotherapy services between 2009-10 and 2021-22. Method We use national aggregate claims data to determine time trends in the fees, benefits and out-of-pocket (OOP) costs of radiotherapy and nuclear therapeutic medicine claims funded through the Medicare Benefits Schedule (MBS) program. All dollar figures are expressed in constant 2021 Australian dollars. Results Radiotherapy and nuclear therapeutic medicine MBS claims increased by 78% whereas MBS funding increased by 137% between 2009-10 and 2021-22. The main driver of Medicare funding growth has been the Extended Medicare Safety Net, which has increased by 404%. Over the 13 year observation period, the percentage of bulk-billed claims peaked in 2017-18 at 76.1% but fell to 69.8% in 2021-22. For non-bulk billed services, average OOP costs per claim increased from $20.40 in 2009-10 to $69.78 in 2021-22. Conclusion Despite increased Medicare funding, patients face increasing financial barriers to access radiation oncology services. Policies with regard to funding radiotherapy services should be reviewed to ensure that services are easily accessible and affordable for all those needing treatment and at a reasonable cost to Government.

Delays in access to affordable medicines: putting policy into perspective.

BACKGROUND: To save costs, the Australian Government recently deferred approval of seven new medicines recommended by the Pharmaceutical Benefits Advisory Committee (PBAC) for up to 7 months. OBJECTIVES: The aim of this research is to examine the timelines of PBAC applications following approval by the Therapeutic Goods Administration (TGA), allowing the recent Cabinet delays to be considered in the context of the overall medicines approval process. METHODS: All new chemical entities and products for new indications approved in 2004 by the Australian Drug Evaluation Committee (ADEC) were identified. Outcomes of PBAC meetings from 2004 to 2010 were then searched to identify if and when these products were reviewed by PBAC. RESULTS: ADEC recommended 63 eligible products for registration in 2004. Of the 113 submissions made to PBAC for these products, 66 were successful. Only 43% of the products were submitted to PBAC within 2 years, with an average 17-month delay from TGA approval of a product to consideration by the PBAC. CONCLUSIONS: Cabinet decisions to defer listing of new medicines delays access to new treatments. This occurred in addition to other longer delays, earlier in the approval process for medicines, resulting in a significant impact on the overall timeliness of listing.

The link between out-of-pocket costs and inequality in specialist care in Australia.

Objective Out-of-pocket (OOP) costs could act as a potential barrier to accessing specialist services, particularly among low-income patients. The aim of this study is to examine the link between OOP costs and socioeconomic inequality in specialist services in Australia. Methods This study is based on population-level data from the Medicare Benefits Schedule of Australia in 2014-15. Three outcomes of specialist care were used: all visits, visits without OOP costs (bulk-billed services), and visits with OOP costs. Logistic and zero-inflated negative binomial regression models were used to examine the association between outcome variables and area-level socioeconomic status after controlling for age, sex, state of residence, and geographic remoteness. The concentration index was used to quantify the extent of inequality. Results Our results indicate that the distribution of specialist visits favoured the people living in wealthier areas of Australia. There was a pro-rich inequality in specialist visits associated with OOP costs. However, the distribution of the visits incurring zero OOP cost was slightly favourable to the people living in lower socioeconomic areas. The pro-poor distribution of visits with zero OOP cost was insufficient to offset the pro-rich distribution among the visits with OOP costs. Conclusions OOP costs for specialist care might partly undermine the equity principle of Medicare in Australia. This presents a challenge to the government on how best to influence the rate and distribution of specialists' services.