Juvenile obesity and its association with utilisation and costs of pharmaceuticals - results from the KiGGS study

<p>Abstract</p> <p>Background</p> <p>According to a national reference, 15% of German children and adolescents are overweight (including obese) and 6.3% are obese. An earlier study analysed the impact of childhood overweight and obesity on different components of direct medical costs (physician, hospital and therapists). To complement the existing literature for Germany, this study aims to explore the association of body mass index (BMI) with utilisation of pharmaceuticals and related costs in German children and adolescents.</p> <p>Methods</p> <p>Based on data from 14, 836 respondents aged 3-17 years in the German Interview and Examination Survey for Children and Adolescents (KiGGS), drug intake and associated costs were estimated using a bottom-up approach. To investigate the association of BMI with utilisation and costs, univariate analyses and multivariate generalised mixed models were conducted.</p> <p>Results</p> <p>There was no significant difference between BMI groups regarding the probability of drug utilisation. However, the number of pharmaceuticals used was significantly higher (14%) for obese children than for normal weight children. Furthermore, there was a trend for more physician-prescribed medication in obese children and adolescents. Among children with pharmaceutical intake, estimated costs were 24% higher for obese children compared with the normal weight group.</p> <p>Conclusions</p> <p>This is the first study to estimate excess drug costs for obesity based on a representative cross-sectional sample of the child and adolescent population in Germany. The results suggest that obese children should be classified as a priority group for prevention. This study complements the existing literature and provides important information concerning the relevance of childhood obesity as a health problem.</p

The business of death: a qualitative study of financial concerns of widowed older women

BACKGROUND: The feminisation of ageing and increasing number of widowed women in contemporary society has significant implications. Older women are at risk of poor health, social, and economic outcomes upon widowhood. The aim of the study was to describe women’s experiences in the period soon after their husbands’ death, including their financial issues and concerns, and the ways in which these experiences impacted on the transition to widowhood late in life. METHODS: This was a longitudinal study using serial in-depth semi-structured interviews with 21 community-dwelling women over the age of 65 in Australia. Verbatim transcripts underwent Interpretive Phenomenological Analysis. RESULTS: Thematic analysis revealed: 1) administrative burden increases vulnerability; 2) gender roles impact on transitions; and 3) financial adjustments render housing insecurity and health risk. High administrative burden within the context of significant grief and mourning was a defining feature of the early bereavement period. Complicated protracted administrative processes, insensitive interactions, and reminders of loss contributed to distress, anxiety and feelings of demoralisation. Several women identified assumption of household financial management as the most difficult aspect of coping with their husband’s death. CONCLUSIONS: Older women may have unmet needs for assistance with administrative, financial, and legal issues immediately following spousal death and potentially for years afterward. Lack of familiarity and absence of instrumental support with financial and legal issues signal the need for policy reform, resources to improve financial literacy in women throughout the life course, increased advocacy, and consideration of different support and service models

Estimating Marginal Healthcare Costs Using Genetic Variants as Instrumental Variables: Mendelian Randomization in Economic Evaluation

Accurate measurement of the marginal healthcare costs associated with different diseases and health conditions is important, especially for increasingly prevalent conditions such as obesity. However, existing observational study designs cannot identify the causal impact of disease on healthcare costs. This paper explores the possibilities for causal inference offered by Mendelian Randomization, a form of instrumental variable analysis that uses genetic variation as a proxy for modifiable risk exposures, to estimate the effect of health conditions on cost. Well-conducted genome-wide association studies provide robust evidence of the associations of genetic variants with health conditions or disease risk factors. The subsequent causal effects of these health conditions on cost can be estimated by using genetic variants as instruments for the health conditions. This is because the approximately random allocation of genotypes at conception means that many genetic variants are orthogonal to observable and unobservable confounders. Datasets with linked genotypic and resource use information obtained from electronic medical records or from routinely collected administrative data are now becoming available, and will facilitate this form of analysis. We describe some of the methodological issues that arise in this type of analysis, which we illustrate by considering how Mendelian Randomization could be used to estimate the causal impact of obesity, a complex trait, on healthcare costs. We describe some of the data sources that could be used for this type of analysis. We conclude by considering the challenges and opportunities offered by Mendelian Randomization for economic evaluation