Rezultaty
Task 41 The development of a new decision analytic model including a variety of screening technologies with updated parameters of risks effects and costs Partners LIU MAC Duration months 1 24 Deliverables D41 42WP4s economic evaluations of screening programmes will assess the costs and consequences of broad management pathways encompassing the invitation and attendance to the screening tests interpretation of test results decision treatment or surveillance and implementation of chosen treatments In order to provide good value for money the cost of inviting an often large number of individuals to the screening tests must be reasonable in relation to the health benefits gained by treating a limited number of individuals Decisionanalytic modelling will be utilised to analyse this relationship in the costeffectiveness analyses of AFFECTEUs diverse screening programmes parameters will involve screening specific information such as attendance rates test characteristics decisionalteration parameters and the effect of implemented treatments themselves42 43 The decision analytic model will integrate data from WP1 WP2 WP3 which will provide new evidence on the stroke risk equation updated parameters on the prognosis of screendetected AF effectiveness and adherence of OAC treatment actual cost data for the different screening technologiesprocedures medical workup and longterm cost and effects of AF related complications including QoL Our new model will be informed by the finding in AFFECTEU and a systematic literature review and in addition to thromboembolic events also include other preventable AF comorbidities eg heart failure myocardial infarction and dementia The information on QoL available in all studies of the proposal will be integrated into the model improving the estimation of QoL in different screening strategiesWP2 results will permit other testsbiomarkersgenetics to enter the economic modelling which has the potential of improving the prognostic value of the screening strategies as well as the costeffectiveness due to better patient selection
Review of contemporary data sources and the literature for AF screening studiesWP1 will systematically identify all available biomedical AF screening study sources comprehensively characterize them for the research proposed in the consortium Table 11 Data in two outcome trials powered by primary care Danish LOOP SAFER are complemented by five clinical studies with different depth of additional phenotyping 200000 individuals Step 1 AFFECTEU will establish a data inventory by comprehensively characterizing the available data sources for accessibility size of dataset ie availability of risk factorshealth determinants number and type of blood samples spectrum of data collected selfreported data electronic health records clinical lifestyle imaging epigenetic and omics information type and duration of followup Important information will be the type and characteristics of screening the device applied the accuracy of AF diagnosis completeness of rhythm monitoring and additional details related to the screening process itself including barriers to screening Patientreported outcome measures POEMs PatientOriented Evidence that Matters quality of life and potential harms by screening and the inconveniences of the screening procedure itself will be captured A minimum of patientcentred outcomes data comprising patientreported clinicianreported and administrative metrics as well as outcome metrics for POEMs outcomes relevant for providerspayersregulators will be suggested for harmonization All partners will provide an overview of their data collection and variable manuals that will be harmonized and compiled in a central data base Interactive retrieval tools WP 6 will support the exploitation of variables through the established catalogue to get summary information and understand similarities and differences between the diverse studiesStep 2 A working platform for efficient data retrieval and exchange will be established technically supported by WP6
Catalogue detailing the available datasets and associated variables in the consortiumWP1 will systematically identify all available biomedical AF screening study sources comprehensively characterize them for the research proposed in the consortium Table 11 Data in three outcome trials powered for strokeSE 160000 participants in the community STROKESTOP studies and primary care Danish LOOP SAFER are complemented by five clinical studies with different depth of additional phenotyping 200000 individuals Step 1 AFFECTEU will establish a data inventory by comprehensively characterizing the available data sources for accessibility size of dataset ie availability of risk factorshealth determinants number and type of blood samples spectrum of data collected selfreported data electronic health records clinical lifestyle imaging epigenetic and omics information type and duration of followup Important information will be the type and characteristics of screening the device applied the accuracy of AF diagnosis completeness of rhythm monitoring and additional details related to the screening process itself including barriers to screening Patientreported outcome measures POEMs PatientOriented Evidence that Matters quality of life and potential harms by screening and the inconveniences of the screening procedure itself will be captured A minimum of patientcentred outcomes data comprising patientreported clinicianreported and administrative metrics as well as outcome metrics for POEMs outcomes relevant for providerspayersregulators will be suggested for harmonization All partners will provide an overview of their data collection and variable manuals that will be harmonized and compiled in a central data base Interactive retrieval tools WP 6 will support the exploitation of variables through the established catalogue to get summary information and understand similarities and differences between the diverse studiesStep 2 A working platform for efficient data retrieval and exchange will be established technically supported by WP6
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eBioMedicine, 2023, ISSN 2352-3964
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Annu Int Conf IEEE Eng Med Biol Soc, 2022
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2023, ISSN 1532-2092
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Oxford University Press
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Scientific Reports, 2022, ISSN 2045-2322
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Nature Publishing Group
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Opublikowane w:
2021
Wydawca:
Cold Spring Harbor Laboratory
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10.1101/2020.04.06.021527
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