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This paper provides a background to the mental health policy changes introduced by the Council of Australian Governments (COAG) in 2006. It then considers a major Australian Government COAG reform, the revision of the Medicare Benefits Schedule (MBS), by analysing the month-by-month utilisation of the available time-series data for the 17-month period (1 November 2006-31 March 2008) when new items for psychologists, social workers and occupational therapists were introduced. There are a number of unique problems associated with monthly time-series data. Essentially, there is a problem of heterogeneity that arises from the non-uniformity of the temporal unit of a "month". Second, there is an issue of the population covered by Medicare altering through time. Both of these problems are addressed in the present analysis of the time-series data. The two groups of psychologists created by the MBS changes dominate the provision of the new services, providing 96.4% of the new services. Psychologists, who are not deemed clinical psychologists in the MBS changes, are the group providing most of the services. Virtually all services are individual, not group, and are provided in a consulting room. The temporal adoption of the new items was continuing to grow by March 2008. Implications of this analysis for psychologists are discussed. (Contains 4 tables and 1 figure.)

Mental health services provision is persistently criticised regarding resource inadequacy. Services are also subject to another dilemma, "structural imbalance". This study demonstrates the dimensions of structural imbalance in Australia's mental health sector by recourse to the 1997 Australian Bureau of Statistics national survey of mental health and wellbeing. This study also examines the concept by reference to the Australian Government's announced COAG initiatives (April 2006), and State government responses (July 2006). The two dimensions of structural imbalance are, first, that some people with no clinical mental illness consume mental health services and, second, that other people have clinical manifestations of mental illness and (for various reasons) do not consume mental health services; the present study shows how the situations coexist. "Throwing more money" at the pre-existing structures may do nothing to address the structural imbalance problem. Remedies are discussed by reference to the reforms undertaken in the British National Health Service in recent years. (Contains 1 table and 2 figures.)

We use a three-equation model to estimate a health production function for Australia using population data for 1996. Working at the level of the Statistical Local Area (n = 1335) we match (i) data on private practice medical services (derived from the Medicare scheme), (ii) mortality data derived from the de-identified unit records produced by the Australian Bureau of Statistics (ABS), and (Hi) social and economic data from the Australian Census of Population and Housing (ABS 1997). We detect strong and statistically significant positive marginal effects of medical expenditure on health status as well as increasing returns. These findings are remarkably different from those of US health production studies, which have tended to lend support to the hypothesis of 'flat-of-the-curve (that is, zero marginal product) medicine'. Moreover, our conclusions are in stark contrast to those produced by Richardson and Peacock (2003, p. 6), who have argued that their econometric work indicates that 'an increase in the [Australian] doctor supply is associated with increasing mortality'.

Evidence of poor correspondence between resources and 'need' in mental health sectors is accumulating. This non-correspondence relates to the tendency for some people with mental disorders not to receive services and some people without mental disorders to use services subsidised under Medicare. Time-series Australian data are examined here and an appropriate approach is applied to measure the correspondence of Australian Bureau of Statistics (ABS) epidemiological surveys of mental disorders and the enumeration of consumers of mental health services under Medicare. The extent of this 'structural imbalance' is determined to be extensive. This result reflects a sector beset with incomplete information. Diagnostic efficacy, and funding efficacious processes, is vital economically for the allocation of scarce mental health resources, not just clinically for efficacious therapy. Relevant policy is yet to be formulated. [ABSTRACT FROM AUTHOR]

Rising suicide rates have been identified as a social problem in several Western countries. The application of a Welfare Economics argument justifies a role for policy that reduces the welfare impact of suicide, whereas the measurement of that impact can inform policy making. Two dimensions of the concept can be measured: the social loss from suicide, and the inequality in the distribution of that loss. In this study, an alternative measure of suicide to the conventional suicide headcount, viz. the potential years of life lost (PYLL), is employed. The PYLL measure is a proxy measure of the social impact of suicide, and involves the concept of 'premature' loss of life. The PYLL also lends itself to inequality measurement. We apply the approach to inequality measurement of health phenomena that was pioneered in the 1980s by Jacques Silber and Julian Le Grand, in a literature now described as measuring health inequality per se. The empirical part of the paper statistically estimates equations on Australian suicide data for the period 1907–2003 and determines the trends in the social loss from suicide and the inequality of its age distribution. Some illustrative examples assist in interpreting the welfare impact of suicide measured both ways, by the headcount rate and the PYLL rate. [ABSTRACT FROM AUTHOR]

Objective: The purpose is to answer the following research question: are the time-series data published by the Australian Bureau of Statistics for Queensland statistically the same as those of the Queensland Suicide Register? Method: This question was answered by first modelling statistically, for males and females, the time series suicide data from these two sources for the period of data availability, 1994 to 2007 (14 observations). Fitted values were then derived from the ‘best fit’ equations, after rigorous diagnostic testing. The outliers in these data sets were addressed with pulse dummy variables. Finally, by applying the Wald test to determine whether or not the fitted values are the same, we determined whether, for males and females, these two data sets are the same or different. Results: The study showed that the Queensland suicide rate, based on Queensland Suicide Register data, was greater than that based on Australian Bureau of Statistics data. Further statistical testing showed that the differences between the two data sets are statistically significant for 24 of the 28 pair-wise comparisons. Conclusions: The quality of Australia's official suicide data is affected by various practices in data collection. This study provides a unique test of the accuracy of published suicide data by the Australian Bureau of Statistics. The Queensland Suicide Register's definition of suicide applies a more suicidological, or medical/health, conception of suicide, and applies different practices of coding suicide cases, timing of data collection processes, etc. The study shows that ‘difference’ between the two data sets predominates, and is statistically significant; thus the extent of the under-reporting of suicide is not trivial. Given that official suicide data are used for many purposes, including policy evaluation of suicide prevention programmes, it is suggested that the system used in Queensland should be adopted by the rest of Australia too. [ABSTRACT FROM AUTHOR]

Background: This study determines the trend in mental health-related mortality (defined here as the aggregation of suicide and deaths coded as "mental/behavioural disorders"), and its relative numerical importance, and to argue that this has importance to policy-makers. Its results will have policy relevance because policy-makers have been predominantly concerned with cost-containment, but a re-appraisal of this issue is occurring, and the trade-off between health expenditures and valuable gains in longevity is being emphasised now. This study examines longevity gains from mental health-related interventions, or their absence, at the population level. The study sums mortality data for suicide and mental/behavioural disorders across the relevant ICD codes through time in Australia for the period 1916-2004. There are two measures applied to the mortality rates: the conventional age-standardised headcount; and the age-standardised Potential Years of Life Lost (PYLL), a measure of premature mortality. Mortality rates formed from these data are analysed via comparisons with mortality rates for All Causes, and with circulatory diseases, cancer and motor vehicle accidents, measured by both methods. Results: This study finds the temporal trend in mental health-related mortality rates (which reflects the longevity of people with mental illness) has worsened through time. There are no gains. This trend contrasts with the (known) gains in longevity from All Causes, and the gains from decreases achieved in previously rising mortality rates from circulatory diseases and motor vehicle accidents. Also, PYLL calculation shows mental health-related mortality is a proportionately greater cause of death compared with applying headcount metrics. Conclusions: There are several factors that could reverse this trend. First, improved access to interventions or therapies for mental disorders could decrease the mortality analysed here. Second, it is important also that new efficacious therapies for various mental disorders be developed. Furthermore, it is also important that suicide prevention strategies be implemented, particularly for at-risk groups. To bring the mental health sector into parity with many other parts of the health system will require knowledge of the causative factors that underlie mental disorders, which can, in turn, lead to efficacious therapies. As in any case of a knowledge deficit, what is needed are resources to address that knowledge gap. Conceiving the problem in this way, ie as a knowledge gap, indicates the crucial role of research and development activity. This term implies a concern, not simply with basic research, but also with applied research. It is commonplace in other sectors of the economy to emphasise the trichotomy of invention, innovation and diffusion of new products and processes. This three-fold conception is also relevant to addressing the knowledge gap in the mental health sector. [ABSTRACT FROM AUTHOR]

Rising suicide rates have been identified as a social problem in several Western countries. The application of a Welfare Economics argument justifies a role for policy that reduces the welfare impact of suicide, whereas the measurement of that impact can inform policy making. Two dimensions of the concept can be measured: the social loss from suicide, and the inequality in the distribution of that loss. In this study, an alternative measure of suicide to the conventional suicide headcount, viz. the potential years of life lost (PYLL), is employed. The PYLL measure is a proxy measure of the social impact of suicide, and involves the concept of ‘premature’ loss of life. The PYLL also lends itself to inequality measurement. We apply the approach to inequality measurement of health phenomena that was pioneered in the 1980s by Jacques Silber and Julian Le Grand, in a literature now described as measuring health inequality per se. The empirical part of the paper statistically estimates equations on Australian suicide data for the period 1907–2003 and determines the trends in the social loss from suicide and the inequality of its age distribution. Some illustrative examples assist in interpreting the welfare impact of suicide measured both ways, by the headcount rate and the PYLL rate. [ABSTRACT FROM PUBLISHER]

This paper provides a background to the mental health policy changes introduced by the Council of Australian Governments (COAG) in 2006. It then considers a major Australian Government COAG reform, the revision of the Medicare Benefits Schedule (MBS), by analysing the month-by-month utilisation of the available time-series data for the 17-month period (1 November 2006-31 March 2008) when new items for psychologists, social workers and occupational therapists were introduced. There are a number of unique problems associated with monthly time-series data. Essentially, there is a problem of heterogeneity that arises from the non-uniformity of the temporal unit of a 'month'. Second, there is an issue of the population covered by Medicare altering through time. Both of these problems are addressed in the present analysis of the time-series data. The two groups of psychologists created by the MBS changes dominate the provision of the new services, providing 96.4% of the new services. Psychologists, who are not deemed clinical psychologists in the MBS changes, are the group providing most of the services. Virtually all services are individual, not group, and are provided in a consulting room. The temporal adoption of the new items was continuing to grow by March 2008. Implications of this analysis for psychologists are discussed. [ABSTRACT FROM AUTHOR]

Mental health services provision is persistently criticised regarding resource inadequacy. Services are also subject to another dilemma, “structural imbalance”. This study demonstrates the dimensions of structural imbalance in Australia's mental health sector by recourse to the 1997 Australian Bureau of Statistics national survey of mental health and wellbeing. This study also examines the concept by reference to the Australian Government's announced COAG initiatives (April 2006), and State government responses (July 2006). The two dimensions of structural imbalance are, first, that some people with no clinical mental illness consume mental health services and, second, that other people have clinical manifestations of mental illness and (for various reasons) do not consume mental health services; the present study shows how the situations coexist. “Throwing more money” at the pre-existing structures may do nothing to address the structural imbalance problem. Remedies are discussed by reference to the reforms undertaken in the British National Health Service in recent years. [ABSTRACT FROM AUTHOR]

Background: Resource shortages and 'unmet need' are two economic problems reported in the Australian mental health sector. 'Unmet need' arises with a 'structural imbalance', the non-correspondence between the use of mental health services and the extent of need for those services. Another problem reported in literature is 'met non-need', people who use mental health services and do not have a diagnosis of mental illness., Aims of Study: To develop an approach to measure the resource shortage and the structural imbalance by using (i) data on consumers of mental health services ('service utilisation'), (ii) data on those who do not consume such services ('service non-utilisation'). These data are cross-classified with data on (i) people who do have a diagnosis of mental illness (proxy of 'need'), and (ii) people who do not have a diagnosis of mental illness (proxy of 'non-need')., Method: A conceptual framework (using 'polar' cases), which is often used in economics, is employed to define perfect 'structural balance' and perfect 'structural imbalance'. This framework allows the measurement of the degree of structural imbalance. Enumeration involves the cross-classified population sub-groups of 'need' and 'service utilisation' in tabular form, conceived of by reference to Yerushalmy's cross-classification approach for determining the sensitivity and specificity of diagnostic procedures in medicine. Venn diagrams are also applied for resource shortage evaluation. The study relies on the data of the Australian Bureau of Statistics 1997 epidemiological survey, the Australian national survey, Mental Health and Wellbeing: Profile of Adults., Results: Clear evidence of resource insufficiency is found. The study shows also an extensive structural imbalance. A total of 1,477,500 subjects affected by mental disorders are found in the 'unmet need' category. This group (receiving no mental health services) represents 62 per cent of people with a diagnosis of mental disorder, and 11 per cent of the Australian population. On the other hand, a group of 591,600 people consume mental health services and do not meet the criteria of mental illness. This group is 4.4 per cent of the Australian population., Discussion and Limitations: In the absence of a measure of expenditure, this study adopted 'people' as a proxy for expenditure. The available data do not enable us to determine how much 'met non-need' is due to the 'Worried Well', or to those who use government-subsidised services for other reasons (sport, executive performance etc)., Implications for Health Policies: Commitment to quantification within the mental health sector is a relatively recent habit by the Australian Government. Policy formation often simply follows scandals to cope with adverse publicity and evidence-based policy is needed. Preliminary evidence of this study indicates resource insufficiency in the Australian mental health sector. This is a policy issue to be distinguished from the 'unmet need' and 'met non-need' arising from structurally imbalanced resource allocation. Separate policy targets require separate policy instruments.