Early Discharge - Evaluating a Virtual Hospital at Home Model

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

111 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-06-01

Study Completion Date

2025-05-20

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

This controlled clinical trial will be part of a larger, 'virtual hospital-at-home' (vHaH) project called Influenz-er. vHaH is a care model designed to deliver medical care at home, as a substitute for a continued conventional inpatient hospital admission.

The overall aim of Influenz-er is to develop, implement and evaluate a novel Hospital at Home model, that will enable safe and satisfactory admission of hospitalised patients including epidemic patients in their homes.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

The Impact of Individual-based Discharges From Acute Admission Units to Home

NCT02295319

Patient Discharge

COMPLETED NA

Telerehabilitation in Geriatric Patients at Aarhus University Hospital, Denmark

NCT03952858

Frail Elderly Syndrome

WITHDRAWN NA

Assessing the Efficacy of an Electronic Discharge Communication Tool

NCT01402609

Other Diagnoses, Comorbidities, and Complications

COMPLETED NA

Hospital at Home for Elderly Acute Ill Patients

NCT05360914

Cystitis Erysipelas Pneumonia

RECRUITING NA

Effectiveness of a Comprehensive Patient-centered Hospital Discharge Planning Intervention for Frail Older Adults

NCT04154917

Frail Older Adults

ACTIVE_NOT_RECRUITING NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Various versions of hospital-at-home models have been implemented as an emergency solution to a steep increase in number of hospitalisations during the COVID-19 pandemic crisis. Conventionally, epidemic patients who require medical monitoring, will be admitted to the hospital. Recently, patients hospitalised for COVID-19 requiring medical supervision for an extended period - sometimes for weeks - have been admitted to their own home supported by telemedicine and/or mobile hospital-based care team (MHCT). Various models of home-based admissions of pandemic patients have been implemented internationally with great results regarding safety and effectiveness. These models are mostly based on physical attendance of physicians in the patient's home and in most situations implemented out of need. Home-based models provide promising results regarding costs, but results are based on low-quality evidence. Health systems facing capacity constraints and rising costs needs to allocate resources based on high-quality evidence.

Therefore, further research regarding feasibility, safety, satisfaction, costs, and effectiveness of a vHaH model still needs to be done.

Danish hospital capacity will not allow for HaH models primarily depending on physical attendance of physicians in the patient's home, nor will it be possible to manually monitor all patient reported data. Therefore, there is a need for a telemedicine supported vHaH model with a smart algorithm alarming clinical staff and thereby aiding in timely handling of patient data and clinical state.

Project Influenz-er proposes an option of transfer to telemedicine supported vHaH model as an alternative to continued standard hospital admission for the future. Patient safety is a top priority regarding both the utilised technology and the re-organisation of standard clinical responsibilities and tasks. Therefore, project Influenz-er included several steps prior to the effectiveness evaluation in this clinical trial.

In the present study, knowledge from previous studies under project Influenz-er is applied, and the vHaH is now ready to be evaluated in an effectiveness trial.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Epidemic Disease Infections

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

This study is a randomized clinical trial. Participants will be randomized in the ratio 1:2 (for each participant randomized to vHaH, there will be two participants randomized to continued conventional in-hospital admission)

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Masking of participants is not possible due to the nature of the study

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

virtual Hospital at Home (vHaH)

Participants are transferred home for telemedicine supported home-based admission.

Group Type EXPERIMENTAL

virtual Hospital at Home (vHaH)

Intervention Type DEVICE

Participants randomized to vHaH will transferred home for home-based admission. Participants will be provided with equipment for self-monitoring (respiratory rate, oxygen saturation, blood pressure, heart rate and temperature). They will receive an app on their smartphone or tablet for transferring of self-measurements and communication with the hospital during their home-based admission.

Supporting the telemedicine concept, a mobile hospital-based care team will perform clinical tasks including intravenous administration, blood samples and on-site clinical assessment in the participant's home, when relevant.

Daily ward rounds will be conducted as video consultations. Before leaving the hospital, participants will receive thorough education on how to self-monitor and how to use the app.

Continued conventional hospitalisation

Participants will follow a conventional hospital admission.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

virtual Hospital at Home (vHaH)

Participants randomized to vHaH will transferred home for home-based admission. Participants will be provided with equipment for self-monitoring (respiratory rate, oxygen saturation, blood pressure, heart rate and temperature). They will receive an app on their smartphone or tablet for transferring of self-measurements and communication with the hospital during their home-based admission.

Supporting the telemedicine concept, a mobile hospital-based care team will perform clinical tasks including intravenous administration, blood samples and on-site clinical assessment in the participant's home, when relevant.

Daily ward rounds will be conducted as video consultations. Before leaving the hospital, participants will receive thorough education on how to self-monitor and how to use the app.

Intervention Type DEVICE

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

mit e-hospital

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Age 18 years or older
* Patients admitted to

1. the Department of Pulmonary and Infectious Diseases (DPID) under any diagnosis or
2. to the Department of Multimorbidity under any diagnosis
* Residential address within the catchment area of North Zealand University Hospital
* Treatment regimen which can be handled within the vHaH model

Exclusion Criteria

* Unstable clinical condition defined by a current early warning score (EWS) \> 6 or single score = 3.
* Permanent physical or cognitive impairment or observed non-compliance that might negatively affect the ability to perform any of the required actions during the intervention such as self-measurements, data transfer by the app, and/or communication via telephone or video consultation.

a. This may include, but is not limited to conditions such as dementia, post-stroke sequelae, deafness, extreme tremor of the upper limbs.
* Unproficiency in Danish language skills
* Pregnancy

Minimum Eligible Age

18 Years

Maximum Eligible Age

120 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No