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NCT Number: NCT06936891

Virtual Ward for Early Discharge in Patients Receiving Inpatient Care

This study evaluates the feasibility of providing hospital-level care at home for eligible patients through a Virtual Ward. Patients are discharged early from the hospital and monitored remotely using digital vital sign monitoring and anamnesis questionnaires. The primary aim is to determine if at least 30% of eligible patients can be safely and successfully transferred to the Virtual Ward under current Dutch healthcare conditions.

Recruiting

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

About this study

Rationale: Patients undergo extensive diagnostics and treatment adjustments during the early days of their hospitalization, which may become less imperative as their admission progresses. If a patient's vital signs stabilize after the initial hospitalization, and they only necessitate "less urgent" hospital care, an option is to transfer them to the Virtual Ward and thereby creating hospital capacity. This telemedicine-driven model presents an alternative to the conventional in-patient care approach. In the Virtual Ward, patients continue to receive care under supervision of the hospital physician but from the comfort of their own homes. This means the hospital oversees the monitoring of vital signs, performing diagnostics and treatment in the patient's home environment. A growing body of evidence supports the safety of "Virtual Wards." However, although proven safe, its feasibility remains uncertain.

Objective: To assess the feasibility of the Virtual Ward in six pre-defined sub-cohorts of non elective hospitalized patients within the current Dutch healthcare system.

Study design: This is a single-center prospective cohort trial with 6 sub-cohorts.

Study population: Admitted patients (minimum age 18) receiving inpatient care that are eligible for discharge to the Virtual Ward.

Intervention (if applicable): Patients will be discharged to the Virtual Ward with monitoring, diagnostics, and treatment at home.

Main study parameters/endpoints: To assess the feasibility of the Virtual Ward across six pre-defined sub-cohorts of non-elective hospitalized patients by determining the percentage of patients who provide informed consent and are successfully transferred to the Virtual Ward, with a feasibility threshold set at 30% for this pilot phase (adherence). Feasibility is determined per sub-cohort.

Nature and extent of the burden and risks associated with participation, benefit and group relatedness: Patients who are admitted to the virtual ward can benefit from recovering in a home environment. Potential risks are that they are not within reach of the treating physicians in case of an adverse event. Patients need to fill in questionnaires and measure their own vital signs. There are no additional invasive interventions patients would need to undergo by participating in this study.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adult patients (≥18 years old).
  • Currently hospitalized and eligible for early discharge according to clinical judgment.
  • Ability to provide written informed consent.
  • Access to a smartphone or tablet with internet connection.
  • Patient is capable of using the Digizorg app or has support from a caregiver who can assist.
  • Suitable home situation for Virtual Ward care (e.g., safe environment, necessary utilities available).
  • Enrollment in one of the predefined Virtual Ward care pathways

Exclusion criteria

  • Patients requiring continuous hospital-based monitoring or interventions that cannot be safely delivered at home.
  • Patients who are hemodynamically unstable or require oxygen therapy >5 liters/minute at the time of discharge.
  • Patients unable or unwilling to comply with home monitoring procedures.
  • Patients with significant cognitive impairment without adequate caregiver support.
  • Patients with a life expectancy less than 30 days, as assessed by the treating physician.
  • Patients participating in another interventional clinical trial that could interfere with the Virtual Ward protocol.
  • Any other condition that, in the opinion of the treating physician, would make participation unsafe or infeasible.

Treatment and study plan

Virtual Ward

Combination Product

Hospital-level care at home using remote vital sign monitoring, digital anamnesis via the Digizorg app, and integration with the Electronic Medical Record (HiX), managed by Virtual Ward staff following predefined care pathways.

Primary outcomes

  1. Number of Participants Successfully Transferred to the Virtual Ward After Providing Informed Consent

    Time frame: From enrollment to transfer to Virtual Ward (during hospitalization, up to 7 days)

    Successful transfer is defined as discharge from hospital to the Virtual Ward with start of home monitoring according to care pathways. Threshold for feasibility is ≥30%.

Secondary outcomes

  1. Number of Eligible Patients Invited for Participation

    Time frame: From enrollment to invitation during hospitalization (up to 7 days)

    Eligible patients are those meeting the inclusion criteria, identified during hospitalization.

  2. Number of Invited Patients Providing Informed Consent

    Time frame: From enrollment to signing informed consent during hospitalization (up to 7 days)

    Informed consent is obtained after providing oral and written information.

  3. Time from Study Inclusion to Transfer to Virtual Ward

    Time frame: From informed consent to Virtual Ward admission (up to 7 days)

    Time is measured in days between signing informed consent and actual discharge to Virtual Ward.

  4. Number of Notifications Generated During Virtual Ward Monitoring

    Time frame: From Virtual Ward admission up to 30 days after discharge

    Notifications include vital sign alerts or digital anamnesis alerts, categorized into low-exceeding or high-exceeding limits.

  5. Number of Contact Moments with Virtual Ward Staff

    Time frame: From Virtual Ward admission up to 30 days after discharge

    Contact moments include staff-initiated, patient-initiated, and home nurse-initiated contacts recorded with reasons.

  6. Length of Stay in Hospital Ward Prior to Virtual Ward Transfer

    Time frame: From hospital admission to Virtual Ward admission

    Measured in days from hospital admission to discharge to the Virtual Ward

  7. Length of Stay in the Virtual Ward

    Time frame: During Virtual Ward stay

    Measured in days from Virtual Ward admission to discharge from Virtual Ward.

  8. Hospital Readmission Rate During Virtual Ward Stay

    Time frame: During Virtual Ward stay

    Readmission is defined as return to hospital ward due to clinical deterioration or treatment need.

  9. Hospital Readmission Rate Within 30 Days After Virtual Ward Discharge

    Time frame: From Virtual Ward discharge up to 30 days

    Readmission defined as hospitalization for clinical reasons after Virtual Ward discharge.

  10. Change in Quality of Life as Measured by EQ-5D-3L

    Time frame: From baseline (hospital inclusion) to end of Virtual Ward treatment

    EQ-5D-3L score ranges from 0 (worst health) to 1 (best health). Difference between baseline and end of Virtual Ward stay will be measured.

Other outcomes

  1. Frailty Status Based on Clinical Frailty Scale and PRISMA-7 Questionnaire

    Time frame: At enrollment (baseline)

    Clinical Frailty Scale: 1 (very fit) to 9 (terminally ill); PRISMA-7 score: ≥3 indicates frailty risk.

  2. Patient-Reported Experience of Virtual Ward Care

    Time frame: Within 30 days after Virtual Ward discharge

    Semi-structured interview assessing experiences, barriers, and facilitators, based on CFIR.

  3. Healthcare Provider-Reported Experience of Virtual Ward Care

    Time frame: Approximately 6-12 months after study initiation

    Semi-structured interview assessing experiences using CFIR domains and NoMAD questionnaire.

Study contacts

Contact information is provided by the study sponsor or research team.

Cox van de Weg, MD, PhD

CONTACT

Michael C. van Herwerden, MD

CONTACT

[email protected]

+31107040704

Sponsors and collaborators

Lead sponsor

Erasmus Medical Center

Other

Registry information

Official study title

Virtual Ward for Early Discharge in Patients Receiving Inpatient Care: A Prospective Feasibility Study on Home Monitoring for the Early Discharge of Eligible Hospitalized Patients in an Outpatient Setting

Acronym: VIP care

Important dates

Study start
2025
Primary completion
2028
Study completion
2028
First posted
Apr 20, 2025
Registry last updated
Feb 17, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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