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Biomedical subjects

L Bonneux

Publications and source records attributed to L Bonneux.

At least 37 records · Page 2Linked to original sources

The burden of mortality of diabetes mellitus in The Netherlands.

Our objective was to estimate the excess mortality and the reduction in life expectancy related to diabetes mellitus. We developed a life table to describe the Dutch population in two states, diabetic and non-diabetic, using age- and sex-specific prevalence of diabetes mellitus and risks of dying for diabetic subjects. We compared the calculated excess deaths with registered deaths. The cause-of-death registration practice underestimates diabetes-related mortality. The method used in this study, combining mortality data with data from epidemiologic studies, provides an assessment of the impact of diabetes on the Dutch population.

Aged↗

Demographic and epidemiological determinants of healthcare costs in Netherlands: cost of illness study.

OBJECTIVES: To determine the demands on healthcare resources caused by different types of illnesses and variation with age and sex. DESIGN: Information on healthcare use was obtained from all 22 healthcare sectors in the Netherlands. Most important sectors (hospitals, nursing homes, inpatient psychiatric care, institutions for mentally disabled people) have national registries. Total expenditures for each sector were subdivided into 21 age groups, sex, and 34 diagnostic groups. SETTING: Netherlands, 1994. MAIN OUTCOME MEASURES: Proportion of healthcare budget spent on each category of disease and cost of health care per person at various ages. RESULTS: After the first year of life, costs per person for children were lowest. Costs rose slowly throughout adult life and increased exponentially from age 50 onwards till the oldest age group (> or = 95). The top five areas of healthcare costs were mental retardation, musculoskeletal disease (predominantly joint disease and dorsopathy), dementia, a heterogeneous group of other mental disorders, and ill defined conditions. Stroke, all cancers combined, and coronary heart disease ranked 7, 8, and 10, respectively. CONCLUSIONS: The main determinants of healthcare use in the Netherlands are old age and disabling conditions, particularly mental disability. A large share of the healthcare budget is spent on long term nursing care, and this cost will inevitably increase further in an ageing population. Non-specific cost containment measures may endanger the quality of care for old and mentally disabled people.

Accidents↗

[The cost of sickness in the Netherlands in 1994; the main determinants were advanced age and disabling conditions].

OBJECTIVE: To estimate the costs of health care in 1994, the development of the costs assigned to specific diseases, and the future costs. DESIGN: Descriptive. SETTING: Erasmus University, Department of Public Health, Rotterdam, the Netherlands. METHOD: For each health care sector, costs were allocated to 62 diagnostic groups, age and sex making maximal use of national registries and other sources with data on health care use in the Netherlands. RESULTS: More than 80% of the 60 billion Dutch guilders that were spent on health care in 1994 could be assigned to specific diseases. Most costs were made for non-fatal diseases like mental deficiency, dementia and musculoskeletal disease. Except for cardiovascular disease, the share of major causes of death in the total costs was not significant. Average costs per inhabitant were low during youth and adulthood but increased exponentially with age from age 50 onwards. Between 1988 en 1994, health care costs experienced an annual growth rate of 5.2%, caused by price and wage increases (one half), ageing (a quarter) and other effects on health care costs such as epidemiological and technological change (a quarter). CONCLUSION: The main determinants of health care use in the Netherlands were old age and disabling conditions. Due to ageing and other influences, real health care costs in the years to come will increase by an average annual rate of 2.4%.

Adolescent↗

Preventing fatal diseases increases healthcare costs: cause elimination life table approach.

OBJECTIVES: To examine whether elimination of fatal diseases will increase healthcare costs. DESIGN: Mortality data from vital statistics combined with healthcare spending in a cause elimination life table. Costs were allocated to specific diseases through the various healthcare registers. SETTING AND SUBJECTS: The population of the Netherlands, 1988. MAIN OUTCOME MEASURES: Healthcare costs of a synthetic life table cohort, expressed as life time expected costs. RESULTS: The life time expected healthcare costs for 1988 in the Netherlands were 56,600 Pounds for men and 80,900 Pounds for women. Elimination of fatal diseases--such as coronary heart disease, cancer, or chronic obstructive lung disease--increases healthcare costs. Major savings will be achieved only by elimination of non-fatal disease--such as musculoskeletal diseases and mental disorders. CONCLUSION: The aim of prevention is to spare people from avoidable misery and death not to save money on the healthcare system. In countries with low mortality, elimination of fatal diseases by successful prevention increases healthcare spending because of the medical expenses during added life years.

Accidents↗

The expiry date of man: a synthesis of evolutionary biology and public health.

In industrialised countries, mortality and morbidity are dominated by age related chronic degenerative diseases. The health and health care needs of future populations will be heavily determined by these conditions of old age. Two opposite scenarios of future morbidity exist: morbidity might decrease ("compress"), because life span is limited, and the incidence of disease is postponed. Or morbidity might increase ("expand"), because death is delayed more than disease incidence. Optimality theory in evolutionary biology explains senescence as a by product of an optimised life history. The theory clarifies how senescence is timed by the competing needs for reproduction and survival, and why this leads to a generalised deterioration of many functions at many levels. As death and disease are not independent, future morbidity will depend on duration and severity of the process of senescence, partly determined by health care, palliating the disease severity but increasing the disease duration by postponing death. Even if morbidity might be compressed, health care needs will surely expand.

Aging↗

The health care costs of smoking.

BACKGROUND: Although smoking cessation is desirable from a public health perspective, its consequences with respect to health care costs are still debated. Smokers have more disease than nonsmokers, but nonsmokers live longer and can incur more health costs at advanced ages. We analyzed health care costs for smokers and nonsmokers and estimated the economic consequences of smoking cessation. METHODS: We used three life tables to examine the effect of smoking on health care costs - one for a mixed population of smokers and nonsmokers, one for a population of smokers, and one for a population of nonsmokers. We also used a dynamic method to estimate the effects of smoking cessation on health care costs over time. RESULTS: Health care costs for smokers at a given age are as much as 40 percent higher than those for nonsmokers, but in a population in which no one smoked the costs would be 7 percent higher among men and 4 percent higher among women than the costs in the current mixed population of smokers and nonsmokers. If all smokers quit, health care costs would be lower at first, but after 15 years they would become higher than at present. In the long term, complete smoking cessation would produce a net increase in health care costs, but it could still be seen as economically favorable under reasonable assumptions of discount rate and evaluation period. CONCLUSIONS: If people stopped smoking, there would be a savings in health care costs, but only in the short term. Eventually, smoking cessation would lead to increased health care costs.

Adolescent↗

Regression analysis of recent changes in cardiovascular morbidity and mortality in The Netherlands.

OBJECTIVES: To test whether recent declines in mortality from coronary heart disease were associated with increased mortality from other cardiovascular diseases. DESIGN: Poisson regression analysis of national data on causes of death and hospital discharges. SETTING AND SUBJECTS: Population of the Netherlands, 1969-93. MAIN OUTCOME MEASURES: Annual changes in mortality from coronary heart disease, stroke, and other cardiovascular diseases and annual changes in hospital discharge rates for acute coronary events, stroke, and congestive heart failures. RESULTS: Patterns of cardiovascular mortality changed abruptly in 1987-93. Annual decline in mortality from coronary heart disease increased sharply for women and men: from -1.9% (95% confidence interval -2.2% to -1.6%) and -1.7% (-1.9% to -1.4%) respectively in 1979-86 to -3.1% (-3.5% to -2.6%) and -4.2% (-4.6% to -3.9%) in 1987-93. The longstanding decline in mortality from stroke levelled off: from annual change of -3.3% (-3.7% to -2.8%) and -3.2% (-3.7% to -2.8%) in 1979-86 to -0.1% (-0.7% to 0.4%) and -1.1% (-1.7% to -0.5%) in 1987-93. Mortality from other cardiovascular diseases, however, started to increase: from -2.0% (-2.4% to -1.6%) and -0.2% (-0.5% to 0.2%) in 1979-86 to 1.5% (1.0% to 2.0%) and 1.9% (1.5% to 2.3%) in 1987-93. Hospital discharge rates for acute coronary heart disease, congestive heart failure, and stroke increased during 1980-6. During 1987-93 discharge rates for stroke and coronary heart disease stabilised but rates for congestive heart failure increased. CONCLUSION: Improved management of coronary heart disease seems to have reduced mortality, but some of the gains are lost to deaths from stroke and other cardiovascular diseases. The increasing numbers of patients with coronary heart disease who survive will increase demands on health services for long term care.

Cardiovascular Diseases↗

[Aging as a cause of hip fractures; a theoretic mathematical model].

OBJECTIVE: To estimate the numbers of hip fractures among Dutch women caused by senescence in contrast to decreasing postmenopausal bone loss. DESIGN: A Markov chain model in a multi-state life table. SETTING: Department of Public Health, Erasmus University of Rotterdam, the Netherlands. METHOD: Cross-sectional data of prevalences of femoral neck bone mineral density, measured in an epidemiological survey (1993), were related to numbers of hospital admissions for hip fractures among women aged 55 and older, using a (published) relative risk for hip fracture of 2.6 (95% confidence limits: 1.9-3.6) per decrease by I SD of bone mineral density. We varied the prevalences of bone mineral density in the multi state life table and looked at changes in the expected number of fractures. RESULTS: If bone loss were to cease after the age of 55, this would decrease the number of fractures by 39.4% (30.4%-45.2% in sensitivity analysis). If bone loss were delayed by 7.5 years, the number of hip fractures would decrease by 14.8% (10.0%-19.9% after 5 to 10 years' delay). If compliance decreases by age (3% per year), then the number of hip fractures would decrease by 5.6% (3.4%-11.0% after 1%-5% decrease of compliance per year). CONCLUSION: Bone loss is only one of the many age related causes of hip fractures. Population based interventions targeting only bone mineral density, while ignoring comorbidity, have only a limited potential for preventing hip fractures.

Aged↗

DALYs: the age-weights on balance.

In studies for the 1993 World development report: investing in health Murray et al. developed the disability-adjusted life year (DALY). This article examines one particular aspect of the DALY methodology: the weighting of life years by age. For the quantitative implementation of this notion Murray proposed a general equation to weight life years by age, which specifies that the years lived between the ages of 9 and 54 years have a weight greater than unity, and for the years outside this range less than unity. The age-weighted life years are used to calculate the "expected years of life lost" (EYLL). Comparison of age-weighted and unweighted age-specific life expectancies shows that the age range which becomes more important due to weighting is not 9-54 years, but 0-27 years. This happens because the EYLL is an age-weighting system in itself, emphasizing the young. The result of piling one age-weighting system on top of the other gives an even stronger emphasis on the young than the EYLL generates by itself. Although this is unlikely to upset the results from the Global Burden of Disease study, we do not think it is desirable. And it is certainly different from what we were led to expect.

Adolescent↗

Diverging trends in colorectal cancer morbidity and mortality. Earlier diagnosis comes at a price.

In developed countries, time trends in the incidence of colorectal cancer differ markedly from trends in mortality. This study sought to explain simultaneously changes in both colorectal cancer incidence and mortality. Data on first admissions, interventions and outcome from the national hospital registry over the period 1978-1989 and data on mortality from Statistics Netherlands over the same period were analysed by age-period models and subsequently entered in a Markov chain model, simulating disease history from first admission to death. Over the period 1978-1989, age adjusted numbers of first admissions and interventions increased by 37% and 32%, respectively, while mortality declined by 8%. For every 100 patients admitted between 1987 and 1989, 13 more will survive compared with 1978-1980. Of these, 3 will be saved by improving results of primary treatment but the other 10 will survive their diagnosis for the subsequent 10 years. Although progress in treatment has been made, therapeutic improvement can account only for the smaller part of the divergence between morbidity and mortality. Increased diagnostic activity, raising incidence and lowering mortality simultaneously, is the most likely cause of the unexplained divergence.

Adult↗

Irreversible effects of ivermectin on adult parasites in onchocerciasis patients in the Onchocerciasis Control Programme in West Africa.

Ivermectin is an effective drug for the treatment of human onchocerciasis, a disease caused by the parasitic filarial nematode Onchocerca volvulus. When humans are treated, the microfilariae normally found in the skin are rapidly and very nearly completely eliminated. Nonetheless, after a delay, microfilariae gradually reappear in the skin. This study is concerned with the causes of this delay. Hypotheses are tested by comparing the results of model calculations with skin microfilaria counts collected from 114 patients during a trial of five annual treatments in the focus area of Asubende, Ghana. The results obtained strongly suggest that annual treatment with ivermectin causes an irreversible decline in microfilariae production of approximately 30%/treatment. This result has important implications for public health strategies designed to eliminate onchocerciasis as a significant health hazard.

Adult↗