Efficiency of the "Medidux" Smartphone App for Demission Management in Patients Medicated in Acute Admission Unit (AAU)

NCT ID: NCT06655337

Last Updated: 2025-10-03

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

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

417 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-09-28

Study Completion Date

2027-03-28

Brief Summary

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The goal of this clinical trial is to evaluate whether the use of the medidux™ smartphone app can optimize post-discharge management for patients admitted to Acute Admission Units (AAU) with non-urgent health complaints. This trial includes adult patients (age ≥ 18) in Emergency Severity Index (ESI) triage system groups 4 (standard) or 5 (non-urgent), presenting with primary symptoms such as cough, back pain, or abdominal discomfort.

The main question it aims to answer is:

Can the medidux™ app reduce the incidence of AAU readmissions, emergency hospitalizations, or consultations with other medical providers within 7 days after initial admission?

Researchers will compare participants using the medidux™ app (intervention arm) with those receiving standard care (control arm) to observe potential differences in the rates of readmissions, emergency hospitalizations, and medical consultations.

Participants will:

* use the medidux™ app to monitor their symptoms and vital parameters for 7 days after discharge (intervention arm).
* receive follow-up consultations at day 7 and at day 28 to assess symptom progression and any healthcare interactions (both arms).

Detailed Description

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Conditions

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Acute Disease Acute Hospitalization Coughing Back Pain Abdominal Pain (AP) Patient Discharge Patient Readmission Mobile Health Apps Mobile Health Technology (mHealth) Patient Reported Outcome (PRO)

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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Intervention Arm: medidux App

Participants in this arm will use the medidux™ smartphone application to monitor their symptoms and vital signs for 7 days following discharge from the Acute Admission Unit (AAU). The app provides health monitoring features, prompts for symptom tracking, and guidance on whether further medical consultation is required. Participants will log daily health data and receive automated reminders. The app aims to reduce post-discharge readmissions and emergency hospitalizations by providing real-time support. Follow-up assessments will be conducted at day 7 and day 28 post-discharge to evaluate symptom progression and healthcare utilization.

Group Type EXPERIMENTAL

Smartphone Application for Post-Discharge Symptom Monitoring

Intervention Type DEVICE

This intervention involves the use of a smartphone application designed for symptom monitoring. The app enables participants to log daily health data, including symptoms and vital signs, for 7 days following discharge. It provides automated prompts and guidance for self-management, including when to seek medical assistance. The app does not provide direct medical intervention but facilitates remote symptom tracking to reduce readmissions and emergency hospitalizations. Follow-up consultations are conducted at day 7 and day 28.

Control Arm: Standard Post-Discharge Care

Participants in this arm will receive standard post-discharge care as currently practiced in the Acute Admission Unit (AAU). This may include follow-up calls or appointments with healthcare providers to monitor symptoms and progression after discharge, but participants will not use the medidux™ app for symptom tracking or monitoring. Follow-up assessments will be conducted at day 7 and day 28 post-discharge to evaluate symptom progression and healthcare utilization.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Smartphone Application for Post-Discharge Symptom Monitoring

This intervention involves the use of a smartphone application designed for symptom monitoring. The app enables participants to log daily health data, including symptoms and vital signs, for 7 days following discharge. It provides automated prompts and guidance for self-management, including when to seek medical assistance. The app does not provide direct medical intervention but facilitates remote symptom tracking to reduce readmissions and emergency hospitalizations. Follow-up consultations are conducted at day 7 and day 28.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Signed Informed Consent Form (ICF)
* Age ≥ 18 years
* (Self-)admission to the involved Acute Admissions Unit (AAU)
* "Lead symptom" identified as coughing, back pain or abdominal discomfort
* Participant within ESI triage system group 4 (standard) and 5 (non-urgent)
* German-speaking
* Ownership of a smartphone or other mobile device with iOS or Android operating system

Exclusion Criteria

* Age \< 18 years
* Participant whose compliance to the study's protocol, e.g. due to mental health problems, physical problems, or the private life situation, can be justifiably doubted
* Participant with insufficient knowledge about the use of a smartphone or other mobile device with iOS or Android operating system
* Participant already using or planning to use another comparable electronic patient-reported symptom monitoring system (e.g. CANKADO) during this trial
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Palleos Healthcare GmbH

INDUSTRY

Sponsor Role collaborator

Mobile Health AG

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Notfallzentrum See-Spital Horgen

Horgen, Canton of Zurich, Switzerland

Site Status RECRUITING

Countries

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Switzerland

Central Contacts

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Andreas Trojan, MD

Role: CONTACT

+41763430200

Facility Contacts

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Lauri Roellin, med. pract.

Role: primary

+41447281111

Other Identifiers

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AAUEffidux

Identifier Type: -

Identifier Source: org_study_id

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