The influence of education on the access to childhood immunization: the case of Spain.

BACKGROUND: In order to enhance childhood vaccination uptake and the health consequences for the whole society, there is a need to study predictors that might help in understanding parents' behaviour in relation to childhood vaccination schemes. The aim of this paper is to assess whether parental education has an influence on their children's public health-care use in terms of visits for vaccinations, and thus evaluate whether more educated parents use public health resources more frequently in childhood immunization schedules. METHODS: The setting was the region of Catalonia in the north-east of Spain. Three different databases, containing information about 11,415 individuals corresponding to 79,905 observations, were merged and linked: 1) observational and longitudinal administrative data for adults and children in Catalonia; 2) a database containing information on the vaccination of children in relation to the public health programme called the "Healthy Child Programme"; and 3) the governmental vaccination registration. The presence of an education gradient was explored using a logistic regression. Children's health-care use was modelled using a logistic procedure. RESULTS: The greater the mothers' educational attainment level, the higher the probability of being vaccinated in this immunization programme. The presence of an age profile for vaccinations showed that less educated parents visit their GPs more frequently for immunizations when their children are below the age of six, but that pattern is completely the opposite after that age. Hence, for children aged between six and 16, more educated parents are more likely to ensure their children are immunized. Likewise, systematic vaccinations are more likely for those parents with a lower educational attainment level. CONCLUSIONS: This paper evidenced the presence of an education gradient for specific preventive care through the public health system and visits to the GP without any particular disease or advice for specific vaccinations.

A systematic review and meta-analysis of willingness-to-pay values: the case of malaria control interventions.

The increasing use of willingness to pay (WTP) to value the benefits of malaria control interventions offers a unique opportunity to explore the possibility of estimating a transferable indicator of mean WTP as well as studying differences across studies. As regression estimates from individual WTP studies are often assumed to transfer across populations it also provides an opportunity to question this practice. Using a qualitative review and meta analytic methods, this article determines what has been studied and how, provides a summary mean WTP by type of intervention, considers how and why WTP estimates vary and advises on future reporting of WTP studies. WTP has been elicited mostly for insecticide-treated nets, followed by drugs for treatment. Mean WTP, including zeros, is US$2.79 for insecticide-treated nets, US$6.65 for treatment and US$2.60 for other preventive services. Controlling for a limited number of sample and design effects, results can be transferred to different countries using the value function. The main concerns are the need to account for a broader range of explanators that are study specific and the ability to transfer results into malaria contexts beyond those represented by the data. Future studies need to improve the reporting of WTP.

Strategic discussion on funding and access to therapies targeting rare diseases in Spain: an expert consensus paper.

BACKGROUND: In recent years, significant advances have been made in the field of rare diseases (RDs). However, there is a large number of RDs without specific treatment and half of these treatments have public funding in Spain. The aim of the FINEERR project was to carry out a multidisciplinary strategic discussion on the challenge of funding and access to RD-targeted drugs in Spain, in order to agree on specific proposals for medium-term improvement and hence support decision-making in the Spanish National Healthcare System (SNHS). RESULTS: The FINEERR Project was organized around a CORE Advisory Committee, which provided an overview, agreed on the design and scope of the project, and selected the members within each of four working groups (WG). Overall, 40 experts discussed and reached a consensus on different relevant aspects, such as conditioning factors for initial funding and access, evaluation and access to RD-targeted therapies, funding of these therapies, and implementation of a new funding and access model. From these meetings, 50 proposals were defined and classified by their level of relevance according to the experts. A descriptive analysis of responses was performed for each proposal. Thereafter, experts completed another questionnaire where they ranked the 25 most relevant proposals according to their level of feasibility of being implemented in the SNHS. The most relevant and feasible proposals were to improve: process of referral of patients with RDs, control over monitoring mechanisms, and communication between healthcare professionals and patients. CONCLUSIONS: The FINEERR project may provide a starting point for stakeholders involved in the process of funding and access to RD-targeted therapies in Spain to provide the necessary resources and implement measures to improve both the quality of life and life expectancy of patients with RDs.

Using a stated preference discrete choice experiment to assess societal value from the perspective of decision-makers in Europe. Does it work for rare diseases?

OBJECTIVES: To pilot the feasibility of using a discrete choice experiment (DCE) design to investigate individual preferences from the decision-maker perspective regarding the use of public funding for orphan drugs and generate prior information for future experimental designs. METHODS: A DCE was used on a convenience sample of participants from five European countries (England, France, Germany, Italy and Spain), exploring their preferences in distinct healthcare scenarios involving orphan drugs. A preliminary review of the empirical literature on distributive preferences informed the selection of attributes and their levels in the design. An online questionnaire was used to conduct the DCE survey. RESULTS: A total of 199 questionnaires were completed. The five country model showed relative preference for some attributes over others: cost of treatment, improvement in health, value for money and availability of treatment alternatives received the greatest attention. However, disease severity, beginning of life, waiting times and side effects were also shown to be important social values that should not be ignored. CONCLUSIONS: The findings presented in this study provide insight about the preferences that can influence decisions on orphan drugs in different countries. This study also provides valuable prior information that could inform future DCE designs in this area.

Economic modelling of diagnostic and treatment pathways in National Institute for Health and Care Excellence clinical guidelines: the Modelling Algorithm Pathways in Guidelines (MAPGuide) project.

BACKGROUND: National Institute for Health and Care Excellence (NICE) clinical guidelines (CGs) make recommendations across large, complex care pathways for broad groups of patients. They rely on cost-effectiveness evidence from the literature and from new analyses for selected high-priority topics. An alternative approach would be to build a model of the full care pathway and to use this as a platform to evaluate the cost-effectiveness of multiple topics across the guideline recommendations. OBJECTIVES: In this project we aimed to test the feasibility of building full guideline models for NICE guidelines and to assess if, and how, such models can be used as a basis for cost-effectiveness analysis (CEA). DATA SOURCES: A 'best evidence' approach was used to inform the model parameters. Data were drawn from the guideline documentation, advice from clinical experts and rapid literature reviews on selected topics. Where possible we relied on good-quality, recent UK systematic reviews and meta-analyses. REVIEW METHODS: Two published NICE guidelines were used as case studies: prostate cancer and atrial fibrillation (AF). Discrete event simulation (DES) was used to model the recommended care pathways and to estimate consequent costs and outcomes. For each guideline, researchers not involved in model development collated a shortlist of topics suggested for updating. The modelling teams then attempted to evaluate options related to these topics. Cost-effectiveness results were compared with opinions about the importance of the topics elicited in a survey of stakeholders. RESULTS: The modelling teams developed simulations of the guideline pathways and disease processes. Development took longer and required more analytical time than anticipated. Estimates of cost-effectiveness were produced for six of the nine prostate cancer topics considered, and for five of eight AF topics. The other topics were not evaluated owing to lack of data or time constraints. The modelled results suggested 'economic priorities' for an update that differed from priorities expressed in the stakeholder survey. LIMITATIONS: We did not conduct systematic reviews to inform the model parameters, and so the results might not reflect all current evidence. Data limitations and time constraints restricted the number of analyses that we could conduct. We were also unable to obtain feedback from guideline stakeholders about the usefulness of the models within project time scales. CONCLUSIONS: Discrete event simulation can be used to model full guideline pathways for CEA, although this requires a substantial investment of clinical and analytic time and expertise. For some topics lack of data may limit the potential for modelling. There are also uncertainties over the accessibility and adaptability of full guideline models. However, full guideline modelling offers the potential to strengthen and extend the analytical basis of NICE's CGs. Further work is needed to extend the analysis of our case study models to estimate population-level budget and health impacts. The practical usefulness of our models to guideline developers and users should also be investigated, as should the feasibility and usefulness of whole guideline modelling alongside development of a new CG. FUNDING: This project was funded by the Medical Research Council and the National Institute for Health Research through the Methodology Research Programme [grant number G0901504] and will be published in full in Health Technology Assessment; Vol. 17, No. 58. See the NIHR Journals Library website for further project information.