Early Discharge - Evaluating a Virtual Hospital at Home Model

Infections Clinical Trial

Official title:

Early Discharge - a Randomised Controlled Trial Evaluating Mental and Physical Effects on Acutely and Chronically Ill Patients in a Telemedicine Supported Virtual Hospital at Home Model

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT05920304
• Other study ID #: Influenz-er 2
• Status: Recruiting
• Phase: N/A
• Start date: June 1, 2023
• Est. completion date: June 2025

Study information

• Verified date: May 2023
• Source: Nordsjaellands Hospital
• Contact: Thea K Fischer, Professor
• Phone: +4530327804
• Email: thea.koelsen.fischer[@]regionh.dk
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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.

Description:

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 135
• Est. completion date: June 2025
• Est. primary completion date: March 2025
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 120 Years

Eligibility

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

Related Conditions & MeSH terms

• Epidemic Disease
• Infections

Intervention

Device:
• 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.

Locations

Country	Name	City	State
Denmark	Department of Pulmonary and Infectious Diseases, Nordsjællands Hospital	Hillerød

Sponsors (3)

Lead Sponsor	Collaborator
Nordsjaellands Hospital	Innovation Fund Denmark, University of Southern Denmark

Country where clinical trial is conducted

Denmark, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Physical activity level	Daily step count and time in different activity levels will be measured using an accelerometer placed on the thigh of the participant.	Will be measured during admission (home-based vs. hospital), an average of 5 days after study enrollment
Primary	Patient mental wellbeing (quantitative)	Evaluation through questionnaires	14 days post discharge
Primary	Patient mental wellbeing (qualitative)	Evaluation through semi-structured interviews	14 days post discharge
Primary	Patient satisfaction (quantitative)	Evaluation through questionnaires	14 days post discharge
Primary	Patient satisfaction (qualitative)	Evaluation through semi-structured interviews	14 days post discharge
Primary	Patient perceived safety (quantitative)	Evaluation through questionnaires	14 days post discharge
Primary	Patient perceived safety (qualitative)	Evaluation through semi-structured interviews	14 days post discharge
Secondary	Demographic characterisation of patients eligible for vHaH	Evaluation through questionnaires	14 days post discharge
Secondary	Rate of adverse events of special interest (AESI)	Evaluation through patient record data	Immediately after discharge
Secondary	Readmittance rate post discharge (30 days and 90 days)	Evaluation through patient record data	30 and 90 days post discharge
Secondary	Mortality during admission	Evaluation through patient record data	daily registration during hospital admission or home-based admission, an average of 5 days after study enrollment
Secondary	Mortality post-discharge (7 days, 30 days, and 90 days)	Evaluation through patient record data	7, 30 and 90 days post discharge
Secondary	Percentage of timely service delivery in response to red alarms as a sign of clinical deterioration (health workers demonstrate adequate ability in telemedicine service delivery).	Data will be extracted from patient-monitoring platform "mit e-hospital" and patient record data	daily registration during home-based admission, an average of 5 days after study enrollment
Secondary	Percentage of scheduled video consultation which were delivered	Data will be extracted from patient-monitoring platform "mit e-hospital" and patient record data	daily registration during home-based admission, an average of 5 days after study enrollment
Secondary	Number of patient app deficiencies for participants enrolled in intervention arm	Data will be extracted from patient record data	daily registration during home-based admission, an average of 5 days after study enrollment
Secondary	Number of health care provider dashboard deficiencies	Data will be extracted from patient record data	daily registration during home-based admission, an average of 5 days after study enrollment
Secondary	Costs related to initiation of home-based admission	Economic endpoint	three months post discharge
Secondary	Number of in-hospital days	Economic endpoint	three months post discharge
Secondary	Number of outpatient visits	Economic endpoint	three months post discharge
Secondary	Costs of hospital resource use	Economic endpoint	three months post discharge
Secondary	Number of contacts in primary care (general practitioner, physiotherapy etc.)	Economic endpoint	three months post discharge
Secondary	Costs of primary care resource use	Economic endpoint	three months post discharge
Secondary	Total costs of health care utilisation per patient	Economic endpoint	three months post discharge
Secondary	Health-related Quality of Life	Economic endpoint, evaluated using questionnaire EQ-5D-5L (EuroQol, 5 dimensions, 5 levels questionnaire).; On a scale 1 to 5, a score of 1 indicates the best health state, and higher scores indicate more severe or frequent problems. In addition, there is a visual analogue scale (VAS) to indicate the general health status with 100 indicating the best health status.	three months post discharge
Secondary	Productivity losses (resources lost when participants work at suboptimal levels or are absent from work)	Economic endpoint	three months post discharge