Evidence map›Paper›PMID 42044392›Full record

ArticleJMIR research protocols2026

Geriatric Telemanagement of Health Conditions (GET HEALTH) in Nursing Home Residents Recently Discharged From the Hospital: Protocol for a Before-After Study.

Giuseppina Dell'Aquila, Mirko Di Rosa, Irene Aguzzi, Francesca Suppa, Barbara Carrieri, Alessia Beccacece, Antonia Scrimieri, Lorena Rossi, Fabio Salvi, Massimiliano Fedecostante and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Giuseppina Dell'AquilaGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0000-0002-9297-5088
Mirko Di RosaCentre for Biostatistics and Applied Geriatric Clinical Epidemiology, IRCCS INRCA, Contrada Muoio Piccolo, Cosenza, 87100, Italy, 39 0718004604.ORCID 0000-0002-1862-4159
Irene AguzziGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0009-0001-7555-2809
Francesca SuppaGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0009-0001-4431-1877
Barbara CarrieriGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0000-0002-4102-2236
Alessia BeccaceceGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0000-0002-9264-6583
Antonia ScrimieriGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0009-0000-7755-9724
Lorena RossiCenter for Aging Technologies and TTO, IRCCS INRCA, Ancona, Italy.ORCID 0000-0002-5688-105X
Fabio SalviGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0000-0001-6349-4130
Massimiliano FedecostanteGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0000-0002-0130-5805
Flavia CarleCenter of Epidemiology, Biostatistics and Medical Information Technology, Marche Polytechnic University, Ancona, Italy.ORCID 0000-0002-2422-6528
Antonio CherubiniGeriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.ORCID 0000-0003-0261-9897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nursing home (NH) residents have a high burden of multimorbidity and disability and are frequently hospitalized. Comprehensive geriatric assessment might reduce hospitalization. However, few geriatricians are working in NHs. Technology might be used to overcome this problem. Objective: This study aims to verify if a geriatric telemanagement model improves patient outcomes in NH residents recently discharged from the hospital. Methods: Clinical outcomes of NH residents recently discharged from the hospital are compared before and after the implementation of GTM, where a geriatrician evaluates each patient during televisits with NH staff and discusses the case with the general practitioner. NH residents aged ≥70 years readmitted to NHs after hospitalization in the 3 years prior to the COVID-19 pandemic (2017-2019) represent the control group enrolled in the retrospective preintervention phase. The primary outcome of the study is the hospital readmission rate during 6-month follow-up. Health technology assessment evaluates the cost-effectiveness of model implementation. Results: A total of 333 NH residents were included in the preintervention retrospective study. Data collection started in February 2022 and was completed in February 2023. A total of 104 NH residents were recruited in the intervention study, from March 2024 to March 2025. Data analysis is currently in progress. Conclusions: Currently, NHs in Italy are striving to manage the complexity of older patients who are often hospitalized. A geriatric telemanagement model might reduce hospitalizations, and therefore negative outcomes, as well as health care costs in this vulnerable population.

Indexed as

COVID-19Geriatric AssessmentGeriatricsNursing HomesTelemedicineAgedAged, 80 and overCost-Benefit AnalysisFemaleHumansMaleNursing Home ResidentsPatient DischargePatient ReadmissionRetrospective Studiescomprehensive geriatric assessmentgeriatriciannursing hometelemedicinetelevisit

Identifiers

PMID42044392
PMCPMC13120545

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.