Work Package 9:

Evaluation

WP Lead: Kronikgune

Work Package 9 Evaluation is responsible of developing an evaluation strategy, coordinating the evaluation process at project level, analyzing the results and making an estimate economic impact of the intervention.  

 

Objetives:  

 

  • To develop an evaluation strategy that includes a credible and feasible research design and analysis plan  

 

  • To coordinate the evaluation process at project level  

 

  • To analyze the results from quantitative and qualitative perspectives  

 

  • To estimate the economic impact of the intervention at population level in mid-long term  

 

Activities defined in this WP:  

  • T9.1 Develop the evaluation framework and planning: Provide the detailed methodological operationalization for the project regarding the objectives of the evaluation (main and secondary variables), final indicators based on the list already produced, and evaluation and analysis design.  

 

  • T9.2 Evaluate outcomes at different time-points lead: Follow up the method defined to assess the intervention group and control group. A mixed evaluation strategy will be performed combining quantitative and qualitative analysis depending on the studied outcome. 

 

  • T9.3 Evaluation of the clinical predictive rules: Evaluate the robustness of the clinical predictive rules in the ALDIFE proposal, at two distinct phases: a) general fitness, applicability in clinical practice and transferability to our samples after having implemented the rules in software and (b) a validation of the algorithms in the final evaluation step.  

 

  • T9.4 Estimate the economic impact and long term prediction:  Construct the economic models of the impact of the technology and collect data from different sources including an evaluation of the pilot operation of the service, data logs of IT systems, fact finding interviews and other primary and secondary sources.  

 

Deliverables:  

 

  • D9.1: Intermediate progress report (M36) 

  • D9.2: Final evaluation report, including predictive algorithms validation, stakeholders ‘map and economic impact of the intervention (M48)