Patient-centred pathways of early palliative care, supportive ecosystems and appraisal standard

01/01/19 to 31/12/22

Due to the increased incidence, prevalence and mortality of chronic diseases and multimorbidity, the need of palliative care (PC) resources is a challenge for health and social care systems. However, currently, access to PC remains inconsistent and, due to the ageing population, it is expected an increase in the rate of people requiring this kind of care over the next 25 years.

The project Patient-centred pathways of early palliative care, supportive ecosystems and appraisal standard (INADVANCE) proposes a novel model of PC based on early integration and personalized pathways addressed specifically to older people with complex chronic conditions. Thus, the overall aim of INADVANCE is to improve the benefit of PC through the design of effective, replicable and cost-effective early PC interventions centred-on and oriented-by the patients. Interventions are defined for/orientated on patients, families, informal caregivers, and front-line care professionals. In order to achieve this main goal, INADVANCE will produce the following evidence based outputs to assist care professionals, service managers and policy and decision-makers in their scalability and replicability:

a) stratification tools to identify potential beneficiaries of early PC actions;

b) optimized interventions co-designed by needs and preferences from patients and their relatives;

c) eHealth tools addressed to empower palliative patients ecosystem;

d) policy recommendations and clinical guidelines addressed to service providers and policy and decision makers;

e) an appraisal standard and dashboard facilitating a critical and comprehensive comparison between actions and interventions derived from the project.

The INADVANCE consortium brings together leading interdisciplinary academic, clinical and technological partners from EU organizations actively responding challenges from health and social care systems and policy-makers in the field.


 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825750​.

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