Summary The study rationale was to provide a detailed overview of the costs, quality of life and mortality of hip fractures in Portugal. Mean individual fracture-related costs were estimated at €13, 434 [12,290; 14,576] for the first year and €5985 [4982; 7045] for the second year following the fracture. Introduction Osteoporotic fractures represent a remarkable burden to health care systems and societies worldwide, which will tend to increase as life expectancy expands and lifestyle changes favour osteoporosis. The cost-effectiveness evaluation of intervention strategies demands accurate data on the epidemiological and economical reality to be addressed. Methods Information was collected retrospectively on consumption of resources and changes in quality of life attributable to fracture as well as mortality, regarding 186 patients randomly selected to represent the distribution of hip fractures in the Portuguese population, in terms of gender, age and geographical provenience. Data were cross-tabulated with socio-demographic variables and individual resource consumption to estimate the burden of disease. A societal perspective was adopted, including direct and indirect costs.Multivariate analyses were carried out to assess the main determinants of health-related quality of life (HrQoL). Results Mean individual fracture-related costs were estimated at €13, 434 [12,290; 14,576] for the first year and €5985 [4982; 7045] for the second year following the fracture. In 2011 the economic burden attributable to osteoporotic hip fractures in Portugal could be estimated at €216 million. Mean reduction in HrQoL 12 months after fracture was estimated at 0.34. Regression analysis showed that age was associated with a higher loss of HrQoL, whereas education had the opposing effect. We observed 12 % excess mortality in the first year after hip fracture, when compared to the gender and age-matched general population. Conclusions Results of this study indicate that osteoporotic hip fractures are, also in Portugal, despite its low incidence of fractures and cost per event, associated with a high societal burden, in terms of costs, loss in HrQoL and mortality. These data provide valuable input to the design and selection of fracture prevention strategies.

Cost-effective intervention thresholds (ITs) based on FRAX(®) were determined for Portugal. Assuming a willingness to pay (WTP) of €32,000 per quality-adjusted life years (QALYs), treatment with generic alendronate is cost effective for men and women aged 50 years or more, with 10-year probabilities for major osteoporotic fractures and hip above 8.8 and 2.5 %, respectively. The aim of the present study was to identify the 10-year probabilities of a major and hip osteoporotic fracture using FRAX(®) validated for Portugal, above which pharmacologic interventions become cost effective in the Portuguese context. A previously developed and validated state transition Markov cohort model was populated with epidemiologic, economic and quality-of-life fracture data from Portugal. Cost-effectiveness of FRAX(®)-based ITs was calculated for generic alendronate and proprietary zoledronic acid, denosumab and teriparatide were compared to "no intervention", assuming a WTP of €32,000 (two times national Gross Domestic Product per capita) per QALYs. In the Portuguese epidemiological and economic context, treatment with generic alendronate was cost effective for men and women aged 50 years or more, with 10-year probabilities at or above 8.8 % for major osteoporotic fractures and 2.5 % for hip fractures. Cost-effective threshold 10-year probabilities for major osteoporotic and hip fractures were higher for zoledronic acid (20.4 and 10.1 %), denosumab (34.9 and 10.1 %) and teriparatide (77.8 and 62.6 %), respectively. A tool is provided to perform the calculation of cost-effective ITs for different medications, according to age group and diverse levels of WTP. Cost-effective ITs, for different medications, age groups and WTP, based on 10-year probabilities of major and hip fracture probabilities calculated with FRAX are provided.

SummaryThe impact of time costs on the utilization of medical care has been a subject of theoretical and empirical research since the early 1970s.The main goal of this paper is to show the effect of time costs on the number of visits to general practitioners (GP) in Portuguese public health centres. We measured the elasticity of primary health care utilization relative to the total time spent in the health centre and relative to travel time. We also provided evidence regarding the impact of an appointment delay on the utilization of public GP services.Our data resulted from the application of an endogenous sampling scheme, resulting in a truncated-at-zero data set. To model our dependent variable, number of visits, and accounting for the truncated nature of the data we used a finite mixture model specification.The data were obtained from the most recent implementation in Portugal of the 2003/2004 Europep Survey. The two-component negative binomial II finite mixture model led to the identification of two different latent classes of health centre users: a low-users class that comprises 88% of patients with an estimated utilization mean of 4.3 GP visits per year and a frequent-users class with an estimated utilization mean of 11.1 visits for the remaining 12% of the population.We failed to find any statistically significant elasticity of time cost utilization, when this variable is measured as the total time spent in the health centre. Regarding the effect of an appointment delay on health centre utilization we concluded that individuals respond to this variable by lowering the number of GP visits. This last finding may have policy implications, which will be discussed at the end of the paper.

; telephone-351239790500 Highlights  Participation in informal networks decreases probability of unmet healthcare needs in Europe  Trust in health services is relevant and there is margin to improvements  Individuals involved in civic activities are more likely to report unmet needs  Persistent needs for health care end up increasing probability of unmet needs  Error correlation suggests sample selection models are appropriate to

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