It is challenging even for those with considerable personal experience in European HTA processes to establish what is really happening in market access for new drugs. We recommend that efforts should be directed toward improving transparency in HTA, which should, in turn, lead to more effective processes.
Background: Even though there are many patient organizations across Europe, their role in impacting health policy decisions and reforms has not been well documented. In line with this, the present study endeavours to fill this gap in the international literature. To this end, it aims to validate further a previously developed instrument (the Health Democracy Index - HDI) measuring patient organization participation in health policy decision-making. In addition, by utilizing this tool, it aims to provide a snapshot of the degree and impact of cancer patient organization (CPO) participation in Italy and France. Methods: A convenient sample of 188 members of CPOs participated in the study (95 respondents from 10 CPOs in Italy and 93 from 12 CPOs in France). Participants completed online a self-reported questionnaire, encompassing the 9-item index and questions enquiring about the type and impact of participation in various facets of health policy decisionmaking. The psychometric properties of the scale were explored by performing factor analysis (construct validity) and by computing Cronbach α (internal consistency). Results: Findings indicate that the index has good internal consistency and the construct it taps is unidimensional. The degree and impact of CPO participation in health policy decision-making were found to be low in both countries; however in Italy they were comparatively lower than in France. Conclusion: In conclusion, the HDI can be effectively used in international policy and research contexts. CPOs participation is low in Italy and France and concerted efforts should be made on upgrading their role in health policy decision-making.
BackgroundPersonalized medicine has the potential to allow patients to receive drugs specific to their individual disease, and to increase the efficiency of the healthcare system. There is currently no comprehensive overview of personalized medicine, and this research aims to provide an overview of the concept and definition of personalized medicine in nine European countries.MethodsA targeted literature review of selected health databases and grey literature was conducted to collate information regarding the definition, process, use, funding, impact and challenges associated with personalized medicine. In-depth qualitative interviews were carried out with experts with health technology assessment, clinical provisioning, payer, academic, economic and industry experience, and with patient organizations.ResultsWe identified a wide range of definitions of personalized medicine, with most studies referring to the use of diagnostics and individual biological information such as genetics and biomarkers. Few studies mentioned patients’ needs, beliefs, behaviour, values, wishes, utilities, environment and circumstances, and there was little evidence in the literature for formal incorporation of patient preferences into the evaluation of new medicines. Most interviewees described approaches to stratification and segmentation of patients based on genetic markers or diagnostics, and few mentioned health-related quality of life.ConclusionsThe published literature on personalized medicine is predominantly focused on patient stratification according to individual biological information. Although these approaches are important, incorporation of environmental factors and patients’ preferences in decision making is also needed. In future, personalized medicine should move from treating diseases to managing patients, taking into account all individual factors.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-017-2205-4) contains supplementary material, which is available to authorized users.
Increased costs cannot be exclusively attributed to the consequences of insulin prescription. Any initiative designed to accelerate acquisition of patient autonomy would be likely to reduce the costs observed after switching to insulin, provided this initiative is adapted to the patient’s health profile, diabetes history and available medical resources..
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