Alessandra Retico, Michele Avanzo, Tommaso Boccali, Daniele Bonacorsi, Francesca Botta, Giacomo Cuttone, Barbara Martelli, Davide Salomoni, Daniele Spiga, Annalisa Trianni, Michele Stasi, Mauro Iori, Cinzia Talamonti
Enhancing the impact of Artificial Intelligence in Medicine: A joint AIFM-INFN Italian initiative for a dedicated cloud-based computing infrastructure
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
determine distinct trajectories coronary heart disease chd selfcare behaviours could identified linked differences quality life qol predicted based baseline characteristics secondary analysis prospective longitudinal observational study patients chd answered questionnaires study enrolment six months later selfcare coronary heart disease inventory three subscales maintenance management confidence scored 0100 higher score better selfcare hospital anxiety depression scale 12item short form survey 16item european health literacy survey questionnaire chd education questionnaire latent growth mixture modelling used identify distinct selfcare trajectories timeon average patients n 430 mean age 643 89 79 male reported inadequate selfcare maintenance 616 154 management 535 185 enrolment two distinct trajectories selfcare behaviours identified first inadequateandworsening inworse trajectory 572 characterised inadequate selfcare improvement maintenance 40 145point improvement p 0001 worsening management time 63 244point worsening p 0005 second inadequatebutmaintaining inmain trajectory 428 characterised inadequate selfcare improvement maintenance 50 162point improvement p 0001 stability management time 08 219point worsening p 0713 comparison patients inworse trajectory less favourable characteristics including lower health literacy knowledge confidence significantly lower qol attending rehabilitation 2175 ci 10204637 p 0044 older age 0959 ci 09240994 p 0024 predicted inworse trajectory inclusion two selfcare trajectories identified suboptimal rehabilitation predicted membership favorable trajectory positive characteristics identified among patients group therefore interventions supporting factors may benefit patients selfcare qol