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Geriatric Telemanagement of HEALTH Conditions in Nursing Home Residents Recently Discharged From the Hospital- GET HEALTH-I

Definition and Testing of a New Model of Clinical Governance Based on the Integration of Tools Such as Health Technology Assessment, Clinical Practice Guidelines, Clinical Pathways, and Healthcare Performance Measurement for Planning, Implementation and Management of Healthcare Interventions in Different Settings - INTEGRATE-HEALTH-GOV - Geriatric Telemanagement of HEALTH Conditions in Nursing Home Residents Recently Discharged From the Hospital GET HEALTH-I

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06893419
Acronym
GET-HEALTH-I
Enrollment
102
Registered
2025-03-25
Start date
2024-02-04
Completion date
2026-03-31
Last updated
2025-09-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Older Hospitalized Patients

Keywords

older patients, comprehensive geriatric assessment, nursing home, health technology assessment, telemanagement

Brief summary

Get-HEALTH-I study is a retrospective prospective interventional study to evaluate the impact of a geriatric telemanagement program on cost-effectiveness and clinical outcomes in nursing home residents post-hospital discharge.

Detailed description

The GET HEALTH-I is a before and after study, consisting of both a retrospective and prospective component. The retrospective component of the study includes nursing home residents in the Marche region (Italy) who are readmitted to the nursing home after a hospital discharge, before the implementation of geriatric telemanagement. The prospective component, includes nursing home residents who are readmitted to the nursing home after a hospital discharge and are managed with the geriatric telemedicine intervention in addition to usual care. The primary objective of the study is to develop a geriatric co-management governance model using telemedicine for elderly patients with multimorbidity discharged from the hospital to nursing homes.The model will integrate geriatric specialists with nursing home staff and general practitioners. A secondary objective of the study is to measure the performance of the model in terms of effectiveness and cost-effectiveness. In particular, an evaluation will be conducted on the effects of implementing the geriatric telemanagement governance model on the risk of hospitalization, geriatric syndromes (falls, delirium, pressure ulcers), number of medications, and inappropriate prescriptions. Adherence to the intervention by GPs and nursing home staff, satisfaction and perception of utility, costs, healthcare resource utilization, and cost-effectiveness will be evaluated.

Interventions

OTHERGeriatric telemanagement

The geriatrician will coordinate, through a telemedicine consultation, a team consisting of the general practitioner and the nursing home staff. The geriatrician will review the diagnoses, treatments, and results of the comprehensive geriatric assessment performed by the nursing home staff. Subsequently, the entire team will conduct a multidisciplinary conference.

Sponsors

Ministry of Health, Italy
CollaboratorOTHER_GOV
Istituto Nazionale di Ricovero e Cura per Anziani
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
70 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Nursing home residents discharged from the hospital within one week of admission to the nursing home

Exclusion criteria

* Residents admitted for a short-term stay

Design outcomes

Primary

MeasureTime frameDescription
reduction in hospitalization rateAfter 6 months from baselineA minimum 15% reduction in the hospitalization rate will define the efficacy of the geriatric telemedicine consultation intervention

Countries

Italy

Contacts

Primary ContactAnna Rita Bonfigli, PhD
a.bonfigli@inrca.it0718003719

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026