Description du projet
Une nouvelle méthode pour empêcher les crises cardiaques
Malgré un meilleur accès aux soins, à des médicaments abordables et à des traitements efficaces disponibles dans les pays à revenus élevés (PRE) et intermédiaires (PRI), les maladies cardiovasculaires et cérébrovasculaires sont toujours en hausse. De même, les attaques cardiaques et les accidents vasculaires cérébraux fatals continuent à toucher ces populations. Toutefois, la majorité des patients à haut risque (tels que ceux souffrant de diabètes, de dyslipidémie ou d’hypertension) ne s’engagent pas dans le cycle complet de dépistage et de thérapie prescrits. Ainsi, le projet E4I, financé par l’UE, mènera des recherches transversales et à grande échelle basées sur des techniques innovantes d’inférence causale. L’objectif est d’identifier les étapes des services de soins médicaux liées à la plupart des décès. Un des autres objectifs consiste à montrer la manière dont ces étapes peuvent être concrètement améliorées. Enfin, le but est également de prévenir les décès.
Objectif
Largely due to the ageing of their populations and changing lifestyles, middle-income countries (MICs) are facing a rapidly increasing burden of heart attacks and strokes. Most of these cardio- and cerebrovascular disease (CCVD) events are preventable through successful treatment of three major risk factors: diabetes, dyslipidaemia, and hypertension. Yet despite the existence of inexpensive and effective medications, only a small minority of adults with these risk factors in MICs successfully transition through the care continuum from screening to effective treatment. There is currently little to no evidence from these settings on what health services interventions are most effective in reducing the loss of patients along the CCVD risk factor care continuum. Focussing on the four most populous MICs – which jointly account for 43% of the world’s population – E4I thus aims to i) determine at which of the main steps in the care continuum – screening, linkage to care, and retention in care – the greatest loss of patients occurs; ii) establish which health services interventions have been most effective in reducing the loss of patients at each of these three care steps; and iii) ascertain the causal effect of reducing the loss of patients along the care continuum on individuals’ health and economic outcomes. To do so, E4I will use novel causal inference techniques from different academic disciplines on large population-based cross-sectional and cohort datasets with jointly over seven million participants, challenging the frequently-held beliefs in public health that only randomised trials can provide causal effect estimates and that cohort data’s principal value is the study of disease aetiology. By generating urgently needed knowledge on how to more effectively deliver proven treatments for a major public health problem in MICs, E4I will decisively advance public health research and has the potential to have an important impact on population health globally.
Champ scientifique
- medical and health scienceshealth sciencespublic health
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- medical and health sciencesbasic medicineneurologystroke
- medical and health sciencesclinical medicineangiologyvascular diseasescerebrovascular diseases
Mots‑clés
Programme(s)
Thème(s)
Régime de financement
ERC-STG - Starting GrantInstitution d’accueil
69120 Heidelberg
Allemagne