Attaching unit costs to Australia's National Survey of Mental Health and Wellbeing

Background: In mental health, policy-makers and planners are increasingly being asked to set priorities. This means that health economists, health services researchers and clinical investigators are being called upon to work together to define and measure costs. Typically, these researchers take available service utilisation data and convert them to costs, using a range of assumptions. There are inefficiencies, as individual groups of researchers frequently repeat essentially similar exercises in achieving this end. There are clearly areas where shared or common investment in the development of statistical software syntax, analytical frameworks and other resources could maximise the use of data. Aims of the Study: This paper reports on an Australian project in which we calculated unit costs for mental health admissions and community encounters. In reporting on these calculations, our purpose is to make the data and the resources associated with them publicly available to researchers interested in conducting economic analyses, and allow them to copy, distribute and modify them, providing that all copies and modifications are available under the same terms and conditions (i.e., in accordance with the 'Copyleft' principle), Within this context, the objectives of the paper are to: (i) introduce the 'Copyleft' principle; (ii) provide an overview of the methodology we employed to derive the unit costs; (iii) present the unit costs themselves; and (iv) examine the total and mean costs for a range of single and comorbid conditions, as an example of the kind of question that the unit cost data can be used to address. Method: We took relevant data from the Australian National Survey of Mental Health and Wellbeing (NSMHWB), and developed a set of unit costs for inpatient and community encounters. We then examined total and mean costs for a range of single and comorbid conditions. Results: We present the unit costs for mental health admissions and mental health community contacts. Our example, which explored the association between comorbidity and total and mean costs, suggested that comorbidly occurring conditions cost more than conditions which occur on their own. Discussion: Our unit costs, and the materials associated with them, have been published in a freely available form governed by a provision termed 'Copyleft'. They provide a valuable resource for researchers wanting to explore economic questions in mental health. Implications for Health Policies: Our unit costs provide an important resource to inform economic debate in mental health in Australia, particularly in the area of priority-setting. In the past, such debate has largely, been based on opinion. Our unit costs provide the underpinning to strengthen the evidence-base of this debate. Implications for Further Research: We would encourage other Australian researchers to make use of our unit costs in order to foster comparability across studies. We would also encourage Australian and international researchers to adopt the 'Copyleft' principle in equivalent circumstances. Furthermore, we suggest that the provision of 'Copyleft'-contingent funding to support the development of enabling resources for researchers should be considered in the planning of future large-scale collaborative survey work, both in Australia and overseas.

Influence of gender on mental health literacy in young Australians

Objectives: To determine the effects of gender on mental health literacy in young people between 12 and 25 years of age. Design: Computer-Assisted Telephone Interviewing was employed to conduct a cross-sectional structured interview focusing on young people's awareness of depression and psychosis. Participants: The sample comprised 1207 young Australians (539 males and 668 females) between the ages of 12-25 recruited from two metropolitan and two regional areas within Victoria. Six hundred and six respondents were presented a depression vignette and 601 were presented a psychosis vignette. Results: Female respondents (60.7%) were significantly more likely to correctly identify depression in the vignette as compared to male respondents (34.5%). No significant gender differences were noted for the psychosis vignette. Males were less significantly likely to endorse seeing a doctor or psychologist/counsellor for the treatment of psychosis. Males were also significantly more likely than females to endorse alcohol as a way of dealing with depression and antibiotics as useful for dealing with psychosis. Conclusion: Gender differences in mental health literacy are striking. Males showed significantly lower recognition of symptoms associated with mental illness and were more likely endorse the use alcohol to deal with mental health problems. Such factors may contribute to the delays in help seeking seen in young males. Further research is needed to delineate how these gender differences in young people may obstruct help seeking, early intervention and other aspects of mental health service delivery.

Increased health care utilization and increased antiretroviral use in HIV-infected individuals with mental health disorders

Objectives The aims of the study were to describe the prevalence and associations of mental health disorder (MHD) among a cohort of HIV-infected patients attending the Victorian HIV/AIDS Service between 1984 and 2000, and to examine whether antiretroviral therapy use or mortality was influenced by MHD (defined as a record of service provision by psychiatric services on the Victorian Psychiatric Case Register). It was hypothesized that HIV-positive individuals with MHD would have poorer treatment outcomes, reduced responses to highly active antiretroviral therapy (HAART) and increased mortality compared with those without MHD. Methods This is a retrospective cohort of 2981 individuals (73% of the Victorian population diagnosed with HIV infection) captured on an HIV database which was electronically matched with the public Victorian Psychiatric Case Register (VPCR) (accounting for 95% of public system psychiatry service provision). The prevalence, dates and recorded specifics of mental health disorders at the time of the electronic match on 1 June 2000 are described. The association with recorded MHD, gender, age, AIDS illness, HIV exposure category, duration and type of antiviral therapy, treatment era (prior to 1986, post-1987 and pre-HAART, and post-HAART) on hospitalization and mortality at 1 September 2001 was assessed. Results Five hundred and twenty-five individuals (17.6% of the Victorian HIV-positive population) were recorded with MHD, most frequently coded as attributable to substance dependence/abuse or affective disorder. MHD was diagnosed prior to HIV in 33% and, of those diagnosed after HIV, 93.8% were recorded more than 1 year after the HIV diagnosis. Schizophrenia was recorded in 6% of the population with MHD. Hospitalizations for both psychiatric and nonpsychiatric illness were more frequent in those with MHD (relative risk 5.4; 95% confidence interval 3.7, 8.2). The total number of antiretrovirals used (median 6.4 agents vs 5.5 agents) was greater in those with MHD. When adjusted for antiretroviral treatment era, HIV exposure category, CD4 cell count and antiretroviral therapy, survival was not affected by MHD. Conclusions MHD is frequent in this population with HIV infection and is associated with increased healthcare utilization but not with reduced survival.