ENFORCER, internet-based interventions for cardiac arrest survivors: A study protocol for a randomised, parallel-group, multicentre clinical trial.

Anxiety Cognitive dysfunction Depression Follow-up studies Internet-based intervention Out-of-Hospital Cardiac Arrest Randomized controlled trial Survivors

Journal

Resuscitation plus
ISSN: 2666-5204
Titre abrégé: Resusc Plus
Pays: Netherlands
ID NLM: 101774410

Informations de publication

Date de publication:
Dec 2024
Historique:
received: 16 08 2024
revised: 02 09 2024
accepted: 04 09 2024
medline: 27 9 2024
pubmed: 27 9 2024
entrez: 27 9 2024
Statut: epublish

Résumé

Out-of-hospital cardiac arrest (OHCA) is a major health concern in Europe, leading to significant morbidity and mortality. Survivors often suffer from cognitive deficits, anxiety, and depression, that affect significantly their quality of life. Current post-discharge care is inconsistent and frequently overlooks subtle but disabling symptoms. The ENFORCER trial aims to significantly enhance the health and quality of life of OHCA survivors by providing a comprehensive, accessible, and user-friendly internet-based lifestyle intervention. ENFORCER is a multicentre, parallel group randomized controlled trial involving OHCA survivors aged 18-80 years with cognitive impairment or anxiety/depression measured through validated instruments.Participants will be randomized 1:1 to the intervention or the control group. The intervention group will receive a one-year program via a secure web application, offering cognitive, emotional, and physical rehabilitation support. The control group will receive standard care.The primary outcome is the difference in the proportion of patients without cognitive or emotional symptoms between the two groups after one year.Secondary outcomes include changes in the level of patients' cognitive and emotional symptoms, quality of life, sleep quality, sexual interest and satisfaction, and caregivers' burden, quality of life, sleep quality and emotional symptoms in the two groups. The trial addresses the need for consistent post-discharge care, and the timely detection and treatment of cognitive and emotional problems. The internet-based approach allows to potentially reach many patients, ensuring cost-effectiveness and high adherence rates.The study results could establish a standard for post-OHCA care, improving long-term recovery and quality of life for survivors.Trial registration.The trial is registered at clinicaltrials.gov (NCT06395558).

Sections du résumé

Background UNASSIGNED
Out-of-hospital cardiac arrest (OHCA) is a major health concern in Europe, leading to significant morbidity and mortality. Survivors often suffer from cognitive deficits, anxiety, and depression, that affect significantly their quality of life. Current post-discharge care is inconsistent and frequently overlooks subtle but disabling symptoms. The ENFORCER trial aims to significantly enhance the health and quality of life of OHCA survivors by providing a comprehensive, accessible, and user-friendly internet-based lifestyle intervention.
Methods UNASSIGNED
ENFORCER is a multicentre, parallel group randomized controlled trial involving OHCA survivors aged 18-80 years with cognitive impairment or anxiety/depression measured through validated instruments.Participants will be randomized 1:1 to the intervention or the control group. The intervention group will receive a one-year program via a secure web application, offering cognitive, emotional, and physical rehabilitation support. The control group will receive standard care.The primary outcome is the difference in the proportion of patients without cognitive or emotional symptoms between the two groups after one year.Secondary outcomes include changes in the level of patients' cognitive and emotional symptoms, quality of life, sleep quality, sexual interest and satisfaction, and caregivers' burden, quality of life, sleep quality and emotional symptoms in the two groups.
Discussion UNASSIGNED
The trial addresses the need for consistent post-discharge care, and the timely detection and treatment of cognitive and emotional problems. The internet-based approach allows to potentially reach many patients, ensuring cost-effectiveness and high adherence rates.The study results could establish a standard for post-OHCA care, improving long-term recovery and quality of life for survivors.Trial registration.The trial is registered at clinicaltrials.gov (NCT06395558).

Identifiants

pubmed: 39328897
doi: 10.1016/j.resplu.2024.100772
pii: S2666-5204(24)00223-6
pmc: PMC11426058
doi:

Banques de données

ClinicalTrials.gov
['NCT06395558']

Types de publication

Journal Article

Langues

eng

Pagination

100772

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Lorenzo Gamberini (L)

Department of Intensive Care and Prehospital Emergency, Emergency Department, Maggiore Hospital, Bologna, Italy.

Paola Rucci (P)

Department of Biomedical and Neuromotor Sciences - University of Bologna, Italy.

Camilla Dolcini (C)

Neurorehabilitation Unit for Severe Cerebrolesions, Montecatone Rehabilitation Institute, Imola, Italy.

Martina Masi (M)

Neurorehabilitation Unit for Severe Cerebrolesions, Montecatone Rehabilitation Institute, Imola, Italy.

Laura Simoncini (L)

Spinal Unit, Montecatone Rehabilitation Institute, Imola, Italy.

Marco Tartaglione (M)

Department of Intensive Care and Prehospital Emergency, Emergency Department, Maggiore Hospital, Bologna, Italy.

Donatella Del Giudice (D)

Regional Program Prehospital Emergency 118 - Maggiore Hospital, Bologna, Italy.

Rosa Domina (R)

Data Protection Office, Bologna Local Health Authority, Bologna, Italy.

Andrea Fagiolini (A)

Integrated Department of Mental Health and Sensory Organs - University of Siena, Italy.

Pamela Salucci (P)

Neurorehabilitation Unit for Severe Cerebrolesions, Montecatone Rehabilitation Institute, Imola, Italy.

Classifications MeSH