Hospital at home for older frequent hospital users: present and future of a healthcare challenge
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Frequent hospital users (FHUs) show high risk of clinical instability. A hospital-at-home (HaH) service (“GIROT”) was created in Florence, Italy, to reduce hospitalizations in older adults vulnerable to hospital-related complications. AIM: To investigate the association of frequent hospital use with all-cause mortality and hospitalization among HaH patients. METHODS: patients referred to GIROT between January 2022 and March 2024, participated in a prospective longitudinal study. Participants were stratified by prior-year hospital admissions (0–1, 2, and 3+) and FHUs were defined based on the association between admissions and risks of subsequent hospitalization and mortality. Multivariate Cox regression assessed the independent association between FHU status and outcomes. RESULTS: Among 219 patients (mean age 85.9, 55% female, 44% with severe disability), the median number of hospitalizations in the previous year was 2. Over a 6-month follow-up, mortality risk was 43% and hospitalization risk was 39%. Six-month mortality was higher in subjects with 2 (58%) and 3 + admissions (48%) versus 0–1 admissions (32%), with similar patterns for hospitalization. These findings led to defining FHUs as individuals with 2 + prior hospitalizations. Shorter time-to-death was independently associated with weight loss, severe disability, heart failure with reduced ejection fraction (HFrEF), and FHU status (adjHR 1.49, 95%CI 1.00-2.21). Time-to-hospitalization was independently predicted by HFrEF and FHU status (adjHR 1.80, 95%CI 1.08–3.01). CONCLUSIONS: FHUs (i.e., 2 + hospitalizations in the previous year) showed an increased risk of re-admission and mortality among older adults receiving HaH. Extra-hospital care pathways, including HaH and palliative care, may help reduce admissions in this population.
Authors: Enrico Mossello, Giulia Rivasi, Antonella Giordano, Sofia Espinoza Tofalos, Martina Rafanelli, Chiara Lorenzi, Vanni Corsoni, Matilde D’Ambrosi, Flavia Gabellini, Matteo Bulgaresi, Guglielmo Bonaccorsi, Enrico Benvenuti, Maria Chiara Cavallini, Daniela Matarrese, Andrea Ungar
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,490
Funder: Azienda USL Toscana Centro
OpenAlex ID: W7123549959