[Principles of health economic evaluation for use by caregivers]. / Principes de l'évaluation médico-économique à l'usage des soignants.

The aim of health economic evaluation is to maximize health gains from limited resources. By definition, health economic evaluation is comparative, based on average costs and outcomes of compared interventions. Incremental costs and outcomes are used to calculate the cost-effectiveness ratio, which represents the average incremental cost per gained unit of effectiveness (i.e.: a year of life) with the evaluated intervention compared to the reference. The health economic rationale applies to all health domains. We cannot spend collective resources (health insurance) without asking ourselves about their potential alternative uses. This reasoning is useful to caregivers for understanding resources allocation decisions and healthcare recommandations. Caregivers should grab this field of expertise because they are central in this strategic reflection for defining the future French healthcare landscape.

Cost of diabetic eye, renal and foot complications: a methodological review.

INTRODUCTION: Diabetic retinopathy (DR), diabetic kidney disease (DKD) and diabetic foot ulcer (DFU) represent a public health and economic concern that may be assessed with cost-of-illness (COI) studies. OBJECTIVES: (1) To review COI studies published between 2000 and 2015, about DR, DKD and DFU; (2) to analyse methods used. METHODS: Disease definition, epidemiological approach, perspective, type of costs, activity data sources, cost valuation, sensitivity analysis, cost discounting and presentation of costs may be described in COI studies. Each reviewed study was assessed with a methodological grid including these nine items. RESULTS: The five following items have been detailed in the reviewed studies: epidemiological approach (59 % of studies described it), perspective (75 %), type of costs (98 %), activity data sources (91 %) and cost valuation (59 %). The disease definition and the presentation of results were detailed in fewer studies (respectively 50 and 46 %). In contrast, sensitivity analysis was only performed in 14 % of studies and cost discounting in 7 %. Considering the studies showing an average cost per patient and per year with a societal perspective, DR cost estimates were US $2297 (range 5-67,486), DKD cost ranged from US $1095 to US $16,384, and DFU cost was US $10,604 (range 1444-85,718). DISCUSSION: This review reinforces the need to adequately describe the method to facilitate literature comparisons and projections. It also recalls that COI studies represent complementary tools to cost-effectiveness studies to help decision makers in the allocation of economic resources for the management of DR, DKD and DFU.

Comparison of informal care time and costs in different age-related dementias: a review.

OBJECTIVES: Age-related dementia is a progressive degenerative brain syndrome whose prevalence increases with age. Dementias cause a substantial burden on society and on families who provide informal care. This study aims to review the relevant papers to compare informal care time and costs in different dementias. METHODS: A bibliographic search was performed on an international medical literature database (MEDLINE). All studies which assessed the social economic burden of different dementias were selected. Informal care time and costs were analyzed in three care settings by disease stages. RESULTS: 21 studies met our criteria. Mean informal care time was 55.73 h per week for Alzheimer disease and 15.8 h per week for Parkinson disease (P = 0.0076), and the associated mean annual informal costs were $17,492 versus $3,284, respectively (P = 0.0393). CONCLUSION: There is a lack of data about informal care time and costs among other dementias than AD or PD. Globally, AD is the most costly in terms of informal care costs than PD, $17,492 versus $3,284, respectively.

Prevalence of iron deficiency and health-related quality of life among female students.

OBJECTIVE: To investigate prevalence of iron deficiency and examine the relationship between iron status and Health-related Quality of Life among female students. DESIGN: Cross-sectional study. SUBJECTS AND SETTING: Data were collected from 543 female students, aged 17 to 38 years, attending University or secondary schools in Clermont-Ferrand (France) and its metropolitan area. Three groups were defined, according to the rate of serum ferritin: iron deficient (serum ferritin < 15 microg/L), iron depletion borderline (serum ferritin 15-20 microg/L), and iron replete (serum ferritin > 20 microg/L). Those 3 groups of menstruating female students were compared in terms of health-related quality of life using univariate analysis. MEASURES OF OUTCOME: Health-related Quality of Life based on SF-36 questionnaire, and iron status measured by serum ferritin. RESULTS: The prevalence of iron deficiency was 19.3%, the prevalence of borderline iron status was 11.4%. Regarding the SF-36 questionnaire, the only significant difference between iron deficient and iron replete female students concerned the dimension reflecting 'general health', which was significantly lower in iron deficient group (p = 0.015). CONCLUSION: Iron deficiency seems to impair the perceived general health in female students. Further research should be conducted on this little known subject.

Prediction of resting energy expenditure in a large population of obese children.

BACKGROUND: Recommendations for energy intake in obese children rely on accurate methods for measuring energy expenditure that cannot be assessed systematically. OBJECTIVE: The aim was to establish and validate new equations for predicting resting energy expenditure (REE), specifically in obese children. DESIGN: REE (indirect calorimetry) and body composition (bioelectrical impedance analysis) were measured in 752 obese subjects aged 3-18 y. The first cohort (n=471) was used to establish predictive equations, the second (and independent) cohort (n=211) was used to validate these equations, and the third cohort, a follow-up group of children who lost weight (n=70), was used to examine predictive REE in the postobese period. REE values predicted with the use of various published equations and the new established equation were compared with measured REE by using the Bland-Altman method and Student's t tests. RESULTS: In cohort 1, significant determinants of the new prediction equations were fat-free mass in boys (model R2=0.79) and age and fat-free mass in girls (model R2=0.76). External validation conducted by using the Bland-Altman method and Student's t tests, in cohort 2, showed no significant difference between measured REE and predicted REE with the new equation. When already published equations were applied, systematical bias appeared with all published equations except for that of the World Health Organization. In cohort 3, the children who lost weight, almost all equations significantly underestimated REE. CONCLUSIONS: These new predictive equations allow clinicians to estimate REE in an obese pediatric population with sufficient and acceptable accuracy. This estimation may be a strong basis for energy recommendations in childhood obesity.