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AbstractDespite progress, poor performance of Pacific Island health systems continues to be highlighted by treatment gaps. Projecting burden of disease and the human resource requirements for mental health services will help appropriately plan for mental health in the region. We drew upon burden of disease and population data to estimate disability‐associated burden of disease from 2010 to 2050 for the Pacific region. Packages of care for low and middle income countries provided a method for estimating mental health staffing requirements. Gaps between estimated target and current staffing levels were estimated. Holding prevalence rates constant over time would see a 74 per cent increase in disability‐related burden for mental disorders. Projected increases in workforce requirements over the 2010–2050 period are large. Preparation for the increasing burden of mental disorders into the future is essential. A sustained, collaborative approach must be secured to achieve improvements in mental health services and treatment coverage.

OBJECTIVE: To report on the private health insurance (PHI) status of individuals with and without a mental health problem, and examine whether PHI status is associated with access to psychological services. METHODS: This is a descriptive study of nationally representative population-based data collected in 2009 (HILDA) with participants aged 15–93 (n = 13,301). Key measures included: PHI status (categorised as 'hospital cover only', 'extras cover only', or 'both hospital and extras cover'); mental health status (categorised as 'have a mental health problem' or 'do not have a mental health problem' using the Mental Health Index (MHI) of the Medical Outcomes Study Short Form); mental health service use (access to a mental health professional (psychologist/psychiatrist) in the past 12 months (categorised as 'yes' or 'no'). RESULTS: Individuals with a mental health problem were less likely to have PHI than those without a mental health problem. However, PHI was not associated with access to a mental health professional in the past 12 months. Conclusions: The findings suggest that while the discrepancy in PHI status is a marker of inequity between those with and without a mental health problem, it is not a key factor in facilitating access to mental health services. ; P. B. is supported by NHMRC Population Health Career Development Award Fellowship No. 525410. This paper uses unit record data from the Household, Income and Labour Dynamics in Leach et al. 475 Australian & New Zealand Journal of Psychiatry, 46(5) Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) and is managed by the Melbourne Institute of Applied Economic and Social Research (MIAESR). The findings and views reported in this paper, however, are those of the author and should not be attributed to either FaHCSIA or the MIAESR.

OBJECTIVE: To report on the private health insurance (PHI) status of individuals with and without a mental health problem, and examine whether PHI status is associated with access to psychological services. METHODS: This is a descriptive study of nationally representative population-based data collected in 2009 (HILDA) with participants aged 15–93 (n = 13,301). Key measures included: PHI status (categorised as 'hospital cover only', 'extras cover only', or 'both hospital and extras cover'); mental health status (categorised as 'have a mental health problem' or 'do not have a mental health problem' using the Mental Health Index (MHI) of the Medical Outcomes Study Short Form); mental health service use (access to a mental health professional (psychologist/psychiatrist) in the past 12 months (categorised as 'yes' or 'no'). RESULTS: Individuals with a mental health problem were less likely to have PHI than those without a mental health problem. However, PHI was not associated with access to a mental health professional in the past 12 months. Conclusions: The findings suggest that while the discrepancy in PHI status is a marker of inequity between those with and without a mental health problem, it is not a key factor in facilitating access to mental health services. ; P. B. is supported by NHMRC Population Health Career Development Award Fellowship No. 525410. This paper uses unit record data from the Household, Income and Labour Dynamics in Leach et al. 475 Australian & New Zealand Journal of Psychiatry, 46(5) Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) and is managed by the Melbourne Institute of Applied Economic and Social Research (MIAESR). The findings and views reported in this paper, however, are those of the author and should not be attributed to either FaHCSIA or the MIAESR.

Background. Concern with suicide measurement is a positive, albeit relatively recent, development. A concern with "the social loss from suicide" requires careful attention to appropriately measuring the phenomenon. This paper applies two different methods of measuring suicide data: the conventional age-standardized suicide (count) rate; and the alternative rate, the potential years of life lost (PYLL) rate. Aims. The purpose of applying these two measures is to place suicide in Queensland in a historical and comparative (relative to other causes of death) perspective. Methods. Both measures are applied to suicide data for Queensland since 1920. These measures are applied also to two "largish" causes of death and two "smaller" causes of death, i.e., circulatory diseases, cancers, motor vehicle accidents, suicide. Results. The two measures generate quite different pictures of suicide in Queensland: Using the PYLL measure, suicide is a quantitatively larger issue than is indicated by the count measure. Conclusions. The PYLL measure is the more appropriate measure for evaluation exercise of public health prevention strategies. This is because the PYLL measure is weighted by years of life lost and, thus, it incorporates more information than the count measure which implicitly weights each death with a somewhat partial value, viz. unity.

Background: Services data are an important source of information for policymakers and planners. In Australia, significant work has been undertaken to develop and implement collections of mental health services data. Given this level of investment, it is important that collected data are fit for purpose. Objective: This study aimed to: (1) identify existing national mandated and best endeavours collections of mental health services activity (e.g. occasions of service) and capacity (e.g. full-time equivalent staff) data in Australia; and (2) review the content of identified data collections to determine opportunities for data development. Method: A grey literature search was conducted to identify data collections. Where available, metadata and/or data were analysed. Results: Twenty data collections were identified. For services that received funding via multiple funding streams, data were often captured across several collections corresponding with each funder. There was significant variability in the content and format of collections. Unlike other service sectors, there is no national, mandated collection for psychosocial support services. Some collections have limited utility as they do not include key activity data; others do not include descriptive variables like service type. Workforce data are often not collected, and where data are collected, they are often not comprehensive. Conclusion: Findings are an important source of information for policymakers and planners who use services data to inform priorities. Implications: This study provides recommendations for data development, including mandating standardised reporting for psychosocial supports, filling workforce data gaps, streamlining data collections and including key missing data items in some collections.

Abstract. The majority of studies on risk factors for suicide have been conducted in developed countries, and less work has been done to systematically profile risk factors in developing countries. The current paper presents a selective review of sociodemographic, clinical, and environmental/situational risk factors in developing countries. Taken together, the evidence suggests that the profiles of risk factors in developing countries demonstrate some differences from those in developed countries. In some developing countries, at least, being female, living in a rural area, and holding religious beliefs that sanction suicide may be of more relevance to suicide risk than these factors are in developed countries. Conversely, being single or having a history of mental illness may be of less relevance. Risk factors that appear to be universal include youth or old age, low socioeconomic standing, substance use, and previous suicide attempts. Recent stressful life events play a role in both developing and developed countries, although their nature may differ (e.g., social change may have more of an influence in the former). Likewise, access to means heightens risk in both, but the specific means may vary (e.g., access to pesticides is of more relevance in developing countries). These findings have clear implications for suicide prevention, suggesting that preventive efforts that have shown promise in developed countries may need to be tailored differently to address the risk factor profile of developing countries.

Australia has a network of Federally funded disability employment and vocational rehabilitation services, including a proportion of outlets that specialise in providing services for persons with psychiatric disabilities. However, neither Federal nor State Governments currently provide or fund disability‐specific education assistance to persons with psychiatric disabilities. To begin considering whether Specialised Supported Education is indicated for persons with psychotic disorders, we examined data collected in a national 'Survey of Disability, Ageing and Carers Australia, 1998'. International studies of the effectiveness of overseas Supported Education programs were also examined to identify the forms of assistance most likely to warrant consideration in Australia. U.S.A. evidence indicates that Specialised Supported Education is emerging as an effective career development option for persons with psychotic disorders. An example of an innovative Specialised Supported Education program is provided to illustrate how this type of program can be implemented in Australia.

BACKGROUND: Existing WHO estimates of the prevalence of mental disorders in emergency settings are more than a decade old and do not reflect modern methods to gather existing data and derive estimates. We sought to update WHO estimates for the prevalence of mental disorders in conflict-affected settings and calculate the burden per 1000 population. METHODS: In this systematic review and meta-analysis, we updated a previous systematic review by searching MEDLINE (PubMed), PsycINFO, and Embase for studies published between Jan 1, 2000, and Aug 9, 2017, on the prevalence of depression, anxiety disorder, post-traumatic stress disorder, bipolar disorder, and schizophrenia. We also searched the grey literature, such as government reports, conference proceedings, and dissertations, to source additional data, and we searched datasets from existing literature reviews of the global prevalence of depression and anxiety and reference lists from the studies that were identified. We applied the Guidelines for Accurate and Transparent Health Estimates Reporting and used Bayesian meta-regression techniques that adjust for predictors of mental disorders to calculate new point prevalence estimates with 95% uncertainty intervals (UIs) in settings that had experienced conflict less than 10 years previously. FINDINGS: We estimated that the prevalence of mental disorders (depression, anxiety, post-traumatic stress disorder, bipolar disorder, and schizophrenia) was 22·1% (95% UI 18·8–25·7) at any point in time in the conflict-affected populations assessed. The mean comorbidity-adjusted, age-standardised point prevalence was 13·0% (95% UI 10·3–16·2) for mild forms of depression, anxiety, and post-traumatic stress disorder and 4·0% (95% UI 2·9–5·5) for moderate forms. The mean comorbidity-adjusted, age-standardised point prevalence for severe disorders (schizophrenia, bipolar disorder, severe depression, severe anxiety, and severe post-traumatic stress disorder) was 5·1% (95% UI 4·0–6·5). As only two studies provided epidemiological ...

The World Mental Health Survey Consortium, a World Health Organization and Harvard University collaboration, totaling 28 countries participated in a uniform randomized general population survey, making use of translated versions of the WHO Composite International Diagnostic Interview. One of the major purposes of the survey was to help inform policy decision makers regarding mental health. However many obstacles prevent the direct translation of survey data to policies. We report on an investigation of the mechanisms involved in the transformation of survey data into mental health policies. After conducting 11 interviews of individuals representing 12 countries that participated in the survey, we found that although governments did take an active role in the conduct of the survey, this did not necessarily translate into direct policy changes. A number of factors were noted to influence the adoption and implement ation of mental health policy changes from the survey data: the establishment of links between the research group and policymakers; the identification of costs of mental disorder; definition of clear solutions; and lastly the generation of political will. The range of countries included in this investigation has enabled comparisons in the use of evidence to influence policies in different contexts. Gaining an understanding of why some countries were successful and why others struggled in transforming survey results to policies may help to inform researchers of translational issues of research to mental health policies in the future. ; publishersversion ; published

BACKGROUND: Mental disorders account for a substantial proportion of the years lived with disability (YLDs) globally. These estimates have generally been calculated top down based on summary statistics. The aim for this study was to calculate YLDs and a novel related measure, Health Loss Proportion (HeLP), for 18 mental and substance use disorders, based on person-level register data (bottom up). METHODS: A cohort of 6 989 627 Danish residents (5·9% had a diagnosis of a mental or substance use disorder registered in the Danish Psychiatric Central Research Register) was investigated. YLDs (the duration of disease multiplied by a disability weight) were calculated for the disorder of interest and for comorbid mental and substance use disorders. HeLPs were estimated as YLDs associated with an index disorder and comorbid mental and substance use disorders divided by person-years at risk in persons with the index disorder. All analyses were adjusted for mental and substance use comorbidity using a multiplicative model of disability weights. FINDINGS: Major depressive disorder was the most prevalent disorder, although schizophrenia was the leading cause of YLDs in both sexes combined (YLDs 273·3 [95 % CI 232·3-313·6] per 100 000 person-years). People diagnosed with schizophrenia lost the equivalent of 73% (63-83%) of healthy life per year due to mental and substance use disorders, the largest HeLP of all mental and substance use disorders. Comorbidity of mental and substance use disorders accounted for 69-83% of HeLPs in people with either cannabis use disorders, other drug use disorder and ADHD. By contrast, comorbidity explained 11-23% of the HeLPs in people with autism spectrum disorders, conduct disorder, and schizophrenia. INTERPRETATION: Substantial variation in disability was observed across age, sex, and disorders. The new HeLP metric provides novel details of the contribution of comorbidity to the disability associated with mental and substance use disorders. FUNDING: The Danish National Research Foundation, Queensland Government Department of Health, European Union's Horizon 2020, Lundbeck Foundation, Stanley Medical Research Institute. TRANSLATION: For the Danish translation of the abstract see Supplementary Materials section.

The burden of mental, neurological, and substance use (MNS) disorders increased by 41% between 1990 and 2010 and now accounts for one in every 10 lost years of health globally. This sobering statistic does not take into account the substantial excess mortality associated with these disorders or the social and economic consequences of MNS disorders on affected persons, their caregivers, and society. A wide variety of effective interventions, including drugs, psychological treatments, and social interventions, can prevent and treat MNS disorders. At the population-level platform of service delivery, best practices include legislative measures to restrict access to means of self-harm or suicide and to reduce the availability of and demand for alcohol. At the community-level platform, best practices include life-skills training in schools to build social and emotional competencies. At the health-care-level platform, we identify three delivery channels. Two of these delivery channels are especially relevant from a public health perspective: self-management (eg, web-based psychological therapy for depression and anxiety disorders) and primary care and community out-reach (eg, non-specialist health worker delivering psychological and pharmacological management of selected disorders). The third delivery channel, hospital care, which includes specialist services for MNS disorders and first-level hospitals providing other types of services (such as general medicine, HIV, or paediatric care), play an important part for a smaller proportion of cases with severe, refractory, or emergency presentations and for the integration of mental health care in other health-care channels, respectively. The costs of providing a significantly scaled up package of specified cost-effective interventions for prioritised MNS disorders in low-income and lower-middle-income countries is estimated at US$3-4 per head of population per year. Since a substantial proportion of MNS disorders run a chronic and disabling course and adversely affect ...

The burden of mental, neurological, and substance use (MNS) disorders increased by 41% between 1990 and 2010 and now accounts for one in every 10 lost years of health globally. This sobering statistic does not take into account the substantial excess mortality associated with these disorders or the social and economic consequences of MNS disorders on affected persons, their caregivers, and society. A wide variety of effective interventions, including drugs, psychological treatments, and social interventions, can prevent and treat MNS disorders. At the population-level platform of service delivery, best practices include legislative measures to restrict access to means of self-harm or suicide and to reduce the availability of and demand for alcohol. At the community-level platform, best practices include life-skills training in schools to build social and emotional competencies. At the health-care-level platform, we identify three delivery channels. Two of these delivery channels are especially relevant from a public health perspective: self-management (eg, web-based psychological therapy for depression and anxiety disorders) and primary care and community outreach (eg, non-specialist health worker delivering psychological and pharmacological management of selected disorders). The third delivery channel, hospital care, which includes specialist services for MNS disorders and first-level hospitals providing other types of services (such as general medicine, HIV, or paediatric care), play an important part for a smaller proportion of cases with severe, refractory, or emergency presentations and for the integration of mental health care in other health-care channels, respectively. The costs of providing a significantly scaled up package of specified cost-effective interventions for prioritised MNS disorders in low-income and lower-middle-income countries is estimated at US$3-4 per head of population per year. Since a substantial proportion of MNS disorders run a chronic and disabling course and adversely affect household welfare, intervention costs should largely be met by government through increased resource allocation and financial protection measures (rather than leaving households to pay out-of-pocket). Moreover, a policy of moving towards universal public finance can also be expected to lead to a far more equitable allocation of public health resources across income groups. Despite this evidence, less than 1% of development assistance for health and government spending on health in low-income and middle-income countries is allocated to the care of people with these disorders. Achieving the health gains associated with prioritised interventions will require not just financial resources, but committed and sustained efforts to address a range of other barriers (such as paucity of human resources, weak governance, and stigma). Ultimately, the goal is to massively increase opportunities for people with MNS disorders to access services without the prospect of discrimination or impoverishment and with the hope of attaining optimal health and social outcomes.