<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13</volume><submitter>Larranaga I</submitter><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Patients with advanced chronic disease (ACD) experience transitions in their clinical stability, leading to increased healthcare resource use and costs. EU-funded ADLIFE digital intervention aimed to ensure their quality of life through individualised care plans, clinical decision-making support, and patient empowerment. This study assessed the impact and sustainability of ADLIFE.&lt;h4>Materials and methods&lt;/h4>Target population included patients aged ≥55 years with heart failure (HF) and/or chronic obstructive pulmonary disease (COPD). First, a discrete event simulation (DES) model was developed using data from Osakidetza-Basque Health Service to represent the natural history of the disease. Second, ADLIFE intervention was implemented in four pilot sites: Spain, England</pubmed_abstract><journal>Frontiers in public health</journal><pagination>1682492</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12689975</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Evaluation of the epidemiological and economic impact of the ADLIFE intervention on medium- to long-term in patients with advanced chronic disease.</pubmed_title><pmcid>PMC12689975</pmcid><pubmed_authors>Maguire R</pubmed_authors><pubmed_authors>Mar J</pubmed_authors><pubmed_authors>McCann L</pubmed_authors><pubmed_authors>Miller M</pubmed_authors><pubmed_authors>Robbins T</pubmed_authors><pubmed_authors>Pournik O</pubmed_authors><pubmed_authors>Garton N</pubmed_authors><pubmed_authors>Fullaondo A</pubmed_authors><pubmed_authors>Arndt F</pubmed_authors><pubmed_authors>Gonzalez N</pubmed_authors><pubmed_authors>Gorostiza A</pubmed_authors><pubmed_authors>Zubeltzu B</pubmed_authors><pubmed_authors>Caballero J</pubmed_authors><pubmed_authors>Sarigul B</pubmed_authors><pubmed_authors>Juul NK</pubmed_authors><pubmed_authors>Tong C</pubmed_authors><pubmed_authors>Larranaga I</pubmed_authors><pubmed_authors>Laleci Erturkmen GB</pubmed_authors><pubmed_authors>Moro A</pubmed_authors><pubmed_authors>Grone O</pubmed_authors><pubmed_authors>Lopez B</pubmed_authors><pubmed_authors>Aguirre U</pubmed_authors><pubmed_authors>Vega R</pubmed_authors><pubmed_authors>Yilmaz G</pubmed_authors><pubmed_authors>Swoboda A</pubmed_authors><pubmed_authors>Lyngholm Christensen R</pubmed_authors><pubmed_authors>Yuksel M</pubmed_authors><pubmed_authors>ADLIFE Consortium</pubmed_authors><pubmed_authors>Ortega-Gil A</pubmed_authors><pubmed_authors>Blomeke-Cammin J</pubmed_authors><pubmed_authors>Kalra D</pubmed_authors><pubmed_authors>Morton A</pubmed_authors><pubmed_authors>Garcia-Lorenzo B</pubmed_authors><pubmed_authors>Arvanitis TN</pubmed_authors><pubmed_authors>Peake A</pubmed_authors><pubmed_authors>de la Torre J</pubmed_authors><pubmed_authors>Levy G</pubmed_authors><pubmed_authors>Aznar-Baranda JI</pubmed_authors><pubmed_authors>Vishnevetsky O</pubmed_authors><pubmed_authors>Verdoy D</pubmed_authors><pubmed_authors>Dichmann Sorknæs A</pubmed_authors><pubmed_authors>Panchal S</pubmed_authors><pubmed_authors>Alayo I</pubmed_authors><pubmed_authors>Lilja M</pubmed_authors><pubmed_authors>Koutsouradis K</pubmed_authors><pubmed_authors>Kaye R</pubmed_authors><pubmed_authors>de Manuel Keenoy E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluation of the epidemiological and economic impact of the ADLIFE intervention on medium- to long-term in patients with advanced chronic disease.</name><description>&lt;h4>Introduction&lt;/h4>Patients with advanced chronic disease (ACD) experience transitions in their clinical stability, leading to increased healthcare resource use and costs. EU-funded ADLIFE digital intervention aimed to ensure their quality of life through individualised care plans, clinical decision-making support, and patient empowerment. This study assessed the impact and sustainability of ADLIFE.&lt;h4>Materials and methods&lt;/h4>Target population included patients aged ≥55 years with heart failure (HF) and/or chronic obstructive pulmonary disease (COPD). First, a discrete event simulation (DES) model was developed using data from Osakidetza-Basque Health Service to represent the natural history of the disease. Second, ADLIFE intervention was implemented in four pilot sites: Spain, England</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-05-26T11:06:35.984Z</modification><creation>2026-05-24T03:11:18.294Z</creation></dates><accession>S-EPMC12689975</accession><cross_references><pubmed>41383305</pubmed><doi>10.3389/fpubh.2025.1682492</doi></cross_references></HashMap>