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Assessment of the ADLIFE intervention as a digital solution for patients with advanced chronic diseases: a quasi-experimental trial

  • Borja García-Lorenzo*
  • , Ania Gorostiza
  • , Nerea González
  • , Igor Larrañaga
  • , Ángel Moro
  • , Ana Ortega-Gil
  • , Beñat Zubelzu
  • , Remedios Vega
  • , Laura de La Higuera
  • , Rachelle Kaye
  • , Gil Levy
  • , Olga Vishnevetsky
  • , Anne Dichmann Sorknæs
  • , Rikke Lyngholm Christensen
  • , Natassia Kamilla Juul
  • , Harpal Randeva
  • , Tim Robbins
  • , Michelle Yorkston
  • , Gokce B. Laleci Erturkmen
  • , Mustafa Yuksel
  • Bunyamin Sarigul, Theodoros N. Arvanitis, Omid Pournik, Chao Tong, José I. Aznar-Baranda, Jessica Caballero-García, Gontzal Vallejo-Setién, Mikael Lilja, Marie Holm Sherman, Anne Swoboda, Oliver Groene, Janika Bloemeke-Cammin, Dipak Kalra, Roma Maguire, Lisa McCann, Morven Miller, Nicolás Francisco González López, Leire Ortiz de Elguea, Miguel Ángel Ogueta Lana, Itxaso Alayo, Urko Aguirre, Barbara López Perea, Michal Yeshayahu, Elinor Dahary Halevy, Shramika Panchal, Gokhan Yılmaz, Juan de La Torre, Dolores Verdoy, Esteban de Manuel Keenoy, Ane Fullaondo
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

This multicentre, non-randomized, quasi-experimental study evaluated the effectiveness of the ADLIFE digital toolbox—comprising clinical decision support, care-plan management, and patient empowerment—for patients aged >55 with chronic obstructive pulmonary disease and chronic heart failure. Across four pilot sites (Spain, UK, Denmark, and Israel), 185 patients received the intervention and were compared with 185 retrospective standard-of-care control matched using propensity score. The primary outcome was the number of emergency room (ER) visits, analyzed through multivariate hurdle regression. Results in the pooled analysis (N = 370) indicated that while ADLIFE was associated with a significant reduction in the likelihood of an initial ER visit (OR 0.55; 95% CI: 0.31–0.96), no significant differences were found for subsequent visits among patients who had already utilized emergency services (IRR 1.74; 95% CI: 0.88–3.43). Significant effect heterogeneity was observed, with a reduction achieved in only one location (AMCA: OR 0.30; 95% CI: 0.15–0.63). These findings suggest that while digitally enabled care models hold potential for initial acute care prevention, their effectiveness is heavily contingent upon complex contextual factors. Given the small sample size and site-specific results, these data should be interpreted with caution. Trial registration: ClinicalTrials.gov; NCT05575336; September 2022.
Original languageEnglish
Article number475
Number of pages10
Journalnpj Digital Medicine
Volume9
Issue number1
Early online date21 May 2026
DOIs
Publication statusPublished - 19 Jun 2026

Funding

This work was supported by the ADLIFE project, funded by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 875209.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • health care
  • health services

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