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Biomedical subjects

C Mathers

Publications and source records attributed to C Mathers.

13 recordsLinked to original sources

Stroke incidence and prevalence in Europe: a review of available data.

Reliable data on stroke incidence and prevalence are essential for calculating the burden of stroke and the planning of prevention and treatment of stroke patients. In the current study we have reviewed the published data from EU countries, Iceland, Norway, and Switzerland, and provide WHO estimates for stroke incidence and prevalence in these countries. Studies on stroke epidemiology published in peer-reviewed journals during the past 10 years were identified using Medline/PubMed searches, and reviewed using the structure of WHO's stroke component of the WHO InfoBase. WHO estimates for stroke incidence and prevalence for each country were calculated from routine mortality statistics. Rates from studies that met the 'ideal' criteria were compared with WHO's estimates. Forty-four incidence studies and 12 prevalence studies were identified. There were several methodological differences that hampered comparisons of data. WHO stroke estimates were in good agreement with results from 'ideal' stroke population studies. According to the WHO estimates the number of stroke events in these selected countries is likely to increase from 1.1 million per year in 2000 to more than 1.5 million per year in 2025 solely because of the demographic changes. Until better and more stroke studies are available, the WHO stroke estimates may provide the best data for understanding the stroke burden in countries where no stroke data currently exists. A standardized protocol for stroke surveillance is recommended.

Age Distribution↗

Global burden of depressive disorders in the year 2000.

BACKGROUND: The initial Global Burden of Disease study found that depression was the fourth leading cause of disease burden, accounting for 3.7% of total disability adjusted life years (DALYs) in the world in 1990. AIMS: To present the new estimates of depression burden for the year 2000. METHOD: DALYs for depressive disorders in each world region were calculated, based on new estimates of mortality, prevalence, incidence, average age at onset, duration and disability severity. RESULTS: Depression is the fourth leading cause of disease burden, accounting for 4.4% of total DALYs in the year 2000, and it causes the largest amount of non-fatal burden, accounting for almost 12% of all total years lived with disability worldwide. CONCLUSIONS: These data on the burden of depression worldwide represent a major public health problem that affects patients and society.

Adult↗

The burden of mental disorders in Victoria, 1996.

BACKGROUND: Between 1998 and 1999, a burden of disease assessment was carried out in Victoria, Australia applying and improving on the methods of the Global Burden of Disease Study. This paper describes the methods and results of the calculations of the burden due to 22 mental disorders, adding 14 conditions not included in previous burden of disease estimates. METHODS: The National Survey of Mental Health and Wellbeing provided recent data on the occurrence of the major adult mental disorders in Australia. Data from international studies and expert advice further contributed to the construction of disease models, describing each condition in terms of incidence, average duration and level of severity, with adjustments for comorbidity with other mental disorders. Disability weights for the time spent in different states of mental ill health were borrowed mainly from a study in the Netherlands, supplemented by weights derived in a local extrapolation exercise. RESULTS: Mental disorders were the third largest group of conditions contributing to the burden of disease in Victoria, ranking behind cancers and cardiovascular diseases. Depression was the greatest cause of disability in both men and women. Eight other mental disorders in men and seven in women ranked among the top twenty causes of disability. CONCLUSIONS: Insufficient information on the natural history of many of the mental disorders, the limited information on the validity of mental disorder diagnoses in community surveys and considerable differences between ICD-10 and DSM-IV defined diagnoses were the main concerns about the accuracy of the estimates. Similar and often greater concerns have been raised in relation to the estimation of the burden from common non-fatal physical conditions such as asthma, diabetes and osteoarthritis. In comparison, psychiatric epidemiology can boast greater scientific rigour in setting standards for population surveys.

Adolescent↗

Socioeconomic inequalities in all-cause and specific-cause mortality in Australia: 1985-1987 and 1995-1997.

BACKGROUND: Socioeconomic inequalities in mortality have been repeatedly observed in Britain, the US, and Europe, and in some countries there is evidence that the differentials are widening. This study describes trends in socioeconomic mortality inequality in Australia for males and females aged 0-14, 15-24 and 25-64 years over the period 1985-1987 to 1995-1997. METHODS: Socioeconomic status (SES) was operationalized using the Index of Relative Socioeconomic Disadvantage, an area-based measure developed by the Australian Bureau of Statistics. Mortality differentials were examined using age-standardized rates, and mortality inequality was assessed using rate ratios, gini coefficients, and a measure of excess mortality. RESULTS: For both periods, and for each sex/age subgroup, death rates were highest in the most disadvantaged areas. The extent and nature of socioeconomic mortality inequality differed for males and females and for each age group: both increases and decreases in mortality inequality were observed, and for some causes, the degree of inequality remained unchanged. If it were possible to reduce death rates among the SES areas to a level equivalent to that of the least disadvantaged area, premature all-cause mortality for males in each age group would be lower by 22%, 28% and 26% respectively, and for females, 35%, 70% and 56%. CONCLUSIONS: The mortality burden in the Australian population attributable to socioeconomic inequality is large, and has profound and far-reaching implications in terms of the unnecessary loss of life, the loss of potentially economically productive members of society, and increased costs for the health care system.

Adolescent↗

A critical examination of summary measures of population health.

In the past decade, interest has been rising in the development, calculation and use of summary measures of population health, which combine information on mortality and non-fatal health outcomes. This paper reviews the issues and challenges in the design and application of summary measures and presents a framework for evaluating different alternatives. Summary measures have a variety of uses, including comparisons of health in different populations and assessments of the relative contributions of different diseases, injuries and risk factors to the total disease burden in a population. Summary measures may be divided into two broad families: health expectancies and health gaps. Within each family, there are many different possible measures, but they share a number of inputs, including information on mortality, non-fatal health outcomes, and health state valuations. Other critical points include calculation methods and a range of conceptual and methodological issues regarding the definition, measurement and valuation of health states. This paper considers a set of basic criteria and desirable properties that may lead to rejection of certain summary measures and the development of new ones. Despite the extensive developmental agenda that remains, applications of summary measures cannot await the final resolution of all methodological issues, so they should focus on those measures that satisfy as many basic criteria and desirable properties as possible.

Data Interpretation, Statistical↗

Trends in health expectancies in Australia 1981-1993.

"Health expectancy indices combine the mortality and morbidity experience of a population into a single composite indicator. This paper summarizes and evaluates methods for the calculation of health expectancies and presents trends in the expectation of life with disability and handicap in Australia from 1981 to 1993. Unlike other countries for which recent health expectancy time series are available, Australian results indicate that the expectation of years with disability has increased for both males and females. Possible explanations for this are examined."

Australia↗

Mortality patterns of urban, rural and remote populations in northern Australia.

"There has recently been a movement of Aboriginals to outlying settlements [in Australia]. This article...examines the patterns of mortality in remote Aboriginal communities and compares these with rates for other locations in Australia's northern regions. The results indicate mortality rates several times higher in remote Aboriginal settlements than elsewhere in the north or in Australia as a whole."

Australia↗

Dementia-free life expectancy in Australia.

Dementia-free life expectancy is a synthetic indicator of an important aspect of mental health which may have considerable use in public health decision making. Dementia expectancies were derived from senile dementia prevalence rates in Australia in 1991-1992 in conjunction with national life tables using Sullivan's method. Dementia-free life expectancy for Australian women aged 70 years was found to be 14 years within a total life expectancy of 15 years, and 11 years for men within a total life expectancy of 12 years. Between 70 and 85 years there is a constant average expectation of about one year of life expectancy with dementia. The age at which the largest number of persons with dementia is found is 82 years. Australians appear to have very similar dementia-free life expectancies to those reported in the European studies, with small differences probably due to sampling variation or to differences in case-finding methods.

Age Factors↗

A controlled trial of home-based acute psychiatric services. I: Clinical and social outcome.

While research has shown community-based psychiatric care to be as good as, or better than, hospital-based care, generalisation to clinical practice has been difficult. This prospective, randomised controlled study examined a community-based approach feasible within NHS conditions. Ninety-four patients were randomly allocated to experimental and 78 to control treatments and followed for one year. The groups were well matched apart from an excess of psychotic control patients. No differences in clinical or social functioning outcome were found. Both groups improved substantially on clinical measures in the first six weeks, with some slow consolidation thereafter. There were three suicides in the control group and one in the experimental group. Access to care was better in the experimental group (93% attended assessment) than in the control group (75% attended assessment).

Adolescent↗