Early Discharge - Evaluating a Virtual Hospital at Home Model
- Conditions
- InfectionsEpidemic Disease
- Registration Number
- NCT05920304
- Lead Sponsor
- Nordsjaellands Hospital
- Brief 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.
- Detailed 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 & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 111
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Age 18 years or older
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Patients admitted to
- the Department of Pulmonary and Infectious Diseases (DPID) under any diagnosis or
- to the Department of Multimorbidity under any diagnosis
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Residential address within the catchment area of North Zealand University Hospital
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Treatment regimen which can be handled within the vHaH model
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Unstable clinical condition defined by a current early warning score (EWS) > 6 or single score = 3.
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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.
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Unproficiency in Danish language skills
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Pregnancy
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Patient mental wellbeing (qualitative) 14 days post discharge Evaluation through semi-structured interviews
Physical activity level Will be measured during admission (home-based vs. hospital), an average of 5 days after study enrollment Daily step count and time in different activity levels will be measured using an accelerometer placed on the thigh of the participant.
Patient satisfaction (quantitative) 14 days post discharge Evaluation through questionnaires
Patient perceived safety (quantitative) 14 days post discharge Evaluation through questionnaires
Patient mental wellbeing (quantitative) 14 days post discharge Evaluation through questionnaires
Patient satisfaction (qualitative) 14 days post discharge Evaluation through semi-structured interviews
Patient perceived safety (qualitative) 14 days post discharge Evaluation through semi-structured interviews
- Secondary Outcome Measures
Name Time Method Number of outpatient visits three months post discharge Economic endpoint
Percentage of scheduled video consultation which were delivered daily registration during home-based admission, an average of 5 days after study enrollment Data will be extracted from patient-monitoring platform "mit e-hospital" and patient record data
Number of in-hospital days three months post discharge Economic endpoint
Number of contacts in primary care (general practitioner, physiotherapy etc.) three months post discharge Economic endpoint
Demographic characterisation of patients eligible for vHaH 14 days post discharge Evaluation through questionnaires
Mortality post-discharge (7 days, 30 days, and 90 days) 7, 30 and 90 days post discharge Evaluation through patient record data
Productivity losses (resources lost when participants work at suboptimal levels or are absent from work) three months post discharge Economic endpoint
Rate of adverse events of special interest (AESI) Immediately after discharge Evaluation through patient record data
Readmittance rate post discharge (30 days and 90 days) 30 and 90 days post discharge Evaluation through patient record data
Mortality during admission daily registration during hospital admission or home-based admission, an average of 5 days after study enrollment Evaluation through patient record data
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). daily registration during home-based admission, an average of 5 days after study enrollment Data will be extracted from patient-monitoring platform "mit e-hospital" and patient record data
Number of health care provider dashboard deficiencies daily registration during home-based admission, an average of 5 days after study enrollment Data will be extracted from patient record data
Costs related to initiation of home-based admission three months post discharge Economic endpoint
Number of patient app deficiencies for participants enrolled in intervention arm daily registration during home-based admission, an average of 5 days after study enrollment Data will be extracted from patient record data
Costs of hospital resource use three months post discharge Economic endpoint
Costs of primary care resource use three months post discharge Economic endpoint
Total costs of health care utilisation per patient three months post discharge Economic endpoint
Health-related Quality of Life three months post discharge 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.
Trial Locations
- Locations (1)
Department of Pulmonary and Infectious Diseases, Nordsjællands Hospital
🇩🇰Hillerød, Denmark
Department of Pulmonary and Infectious Diseases, Nordsjællands Hospital🇩🇰Hillerød, Denmark