A Systematic Review of Cost-Effectiveness Studies of Interventions With a Personalized Nutrition Component in Adults.

OBJECTIVES: Important links between dietary patterns and diseases have been widely applied to establish nutrition interventions. However, knowledge about between-person heterogeneity regarding the benefits of nutrition intervention can be used to personalize the intervention and thereby improve health outcomes and efficiency. We performed a systematic review of cost-effectiveness analyses (CEAs) of interventions with a personalized nutrition (PN) component to assess their methodology and findings. METHODS: A systematic search (March 2019) was performed in 5 databases: EMBASE, Medline Ovid, Web of Science, Cochrane CENTRAL, and Google Scholar. CEAs involving interventions in adults with a PN component were included; CEAs focusing on clinical nutrition or undernutrition were excluded. The CHEERS checklist was used to assess the quality of CEAs. RESULTS: We identified 49 eligible studies among 1792 unique records. Substantial variation in methodology was found. Most studies (91%) focused only on psychological concepts of PN such as behavior and preferences. Thirty-four CEAs were trial-based, 13 were modeling studies, and 4 studies were both trial- and model-based. Thirty-two studies used quality-adjusted life year as an outcome measure. Different time horizons, comparators, and modeling assumptions were applied, leading to differences in costs/quality-adjusted life years. Twenty-eight CEAs (49%) concluded that the intervention was cost-effective, and 75% of the incremental cost-utility ratios were cost-effective given a willingness-to-pay threshold of $50 000 per quality-adjusted life year. CONCLUSIONS: Interventions with PN components are often evaluated using various types of models. However, most PN interventions have been considered cost-effective. More studies should examine the cost-effectiveness of PN interventions that combine psychological and biological concepts of personalization.

Future of Data Analytics in the Era of the General Data Protection Regulation in Europe.

The development of evidence to demonstrate 'value for money' is regarded as an important step in facilitating the search for the optimal allocation of limited resources and has become an essential component in healthcare decision making. Real-world evidence collected from de-identified individuals throughout the continuum of healthcare represents the most valuable source in technology evaluation. However, in the European Union, the value assessment based on real-world data has become challenging as individuals have recently been given the right to have their personal data erased in the case of consent withdrawal or when the data are regarded as being no longer necessary. This act may limit the usefulness of data in the future as it may introduce information bias. Among healthcare stakeholders, this has become an important topic of discussion because it relates to the importance of data on one side and to the need for personal data protection on the other side, especially when it comes to "personal data related to the physical or mental health of a natural person, including the provision of health care services, which reveals information about his or her health status". At the forefront of these discussions are data protection issues as well as the population's trust in digital services. It seems that the new era has begun, where citizens and patients will have the ability to manage their personal or self-generated data. The European Commission has laid the groundwork for this paradigm shift that will steadily emerge in the coming years. To prepare for this change, we believe attention should be given to data security and other rules of data privacy. It has become increasingly important to ensure that individuals are properly introduced into complex environments with multiple sources of Big Data for clinical and behavioral purposes to provide an optimal balance between societal and individual benefits. In this article, a number of issues are considered and discussed, based upon the authors' experience, with the aim of helping the reader better understand the implications of the use of Big Data and the importance of data protection in the coming years.

Costs and prices of single dental fillings in Europe: a micro-costing study.

Dental fillings represent an established procedure to treat tooth decay. The present paper provides a cost comparison of dental filling procedures across nine European countries. More specifically, the paper aims to estimate the costs and prices (i.e. reimbursement fees) of a single dental filling procedure in an approximately 12-year-old child with a toothache in a lower molar who presents at a dental practice, as described in a case vignette. Both amalgam and composite fillings were examined. Total costs were determined by identifying resource use and unit costs for the following cost components: diagnostic procedures, labour, materials, drugs, and overheads. Altogether, 49 practices provided data for the cost calculations. Mean total costs per country varied considerably, ranging from 8 euros to 156 euros. Labour costs were the most important cost driver in all practices, comprising 58% of total costs. Overhead costs were the second-most important cost component in the majority of countries. Actual cost differences across practices within countries were relatively small. Cost variations between countries were primarily due to differences in unit costs, especially for labour and overheads, and only to a lesser extent to differences in resource use. Finally, cost estimates for a single dental filling procedure based on reimbursement fees led to an underestimation of the total costs by approximately 50%.