Feasibility of an App to Measure Patient Stressors in an Intensive Care Unit (ICU Feel Better App)- a Before-and-after Study

January 23, 2024 updated by: Claudia Spies, Charite University, Berlin, Germany

Feasibility of an App to Measure Patient Stressors During Treatment in an Intensive Care Unit (ICU Feel Better App)- a Before-and-after Study

This study examines the feasibility and efficacy of a mobile application (app), which enables critically ill patients to report perceived patient stressors to their caregivers.

Study Overview

Status

Completed

Conditions

Detailed Description

For many critically ill patients, treatment in an intensive care unit (ICU) is very stressful, and for some of the patients it is a traumatic experience. The domains of patient stressors encompass physical stressors, mental health stressors, communication stressors, and environmental stressors. The experience of stressors during ICU is associated with a higher risk of worse outcomes including delirium, delayed recovery, and post-intensive care syndrome (PICS). In the context of inpatient intensive care medicine, health care professionals (HCP) have problems to correctly rate the extent of their patients' stress.

In this study, we examine the feasibility and efficacy of a stressor-reporting system based on a mobile application (app), which allows critically ill patients to evaluate by themselves the intensity of their stressors, and thus, to communicate their stress experience to HCPs.

In the first assessment phase of this study, outcome data of a cohort of n=20 patients will be collected (cohort A). Participants of cohort A will not use the ICU Feel Better App. In the second phase, outcome data of another n=20 patients (cohort B) will be collected. Participants of cohort B will have the opportunity to use the ICU Feel Better App from the second day after admission to the ICU until the day of discharge from ICU.

Study Type

Observational

Enrollment (Actual)

46

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Berlin, Germany, 13353
        • Department of Anesthesiology and Intensive Care Medicine, CVK/CCM, Charité - University Medicine Berlin
        • Contact:
        • Sub-Investigator:
          • Henning Krampe, PhD
        • Sub-Investigator:
          • Jakob Gülden, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients treated in an ICU, aged 18 years and older

Description

Inclusion Criteria:

  • Patients treated in an ICU
  • Duration of treatment ≥48h
  • Age: 18 years and older
  • Male, female, or divers gender

Exclusion Criteria:

  • Poor language skills
  • Statement in patient letter or living will that excludes participation
  • Participation in another prospective treatment study with indication delirium
  • Refusal of participation

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Standard Group

Cohort of n=20 intensive care unit patients from the ages of 18 years will be collected.

Participants of this cohort will not use the ICU Feel Better App.

Experimental Group
Cohort of n=20 intensive care unit patients from the ages of 18 years will be collected. Participants of this cohort will have the opportunity to use the ICU Feel Better App every day from the second day after admission to the ICU until the day of discharge from ICU.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient reported perceived severity of patient stressors
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Patient reported perceived severity of patient stressors (Mean score of patient stressor list ). Range: 0-4, higher scores indicate higher stress. At day 2 or 3 of ICU treatment (before first use of the app) (t1), and at the day before or the day of discharge from ICU (t2).
Time until discharge from the intensive care unit, an expected average of 10 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mental distress
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Mental distress is measured by Patient Health Questionnaire 4 [PHQ-4, range: 0-12, higher scores indicate higher distress]
Time until discharge from the intensive care unit, an expected average of 10 days
Acute perceived stress
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Acute perceived stress is measured by Stress Thermometer (range: 0-10, higher scores indicate higher stress)
Time until discharge from the intensive care unit, an expected average of 10 days
State anxiety
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
State anxiety is measured with the Faces Anxiety Scale [FAS, range: 1-5, higher scores indicate higher anxiety]
Time until discharge from the intensive care unit, an expected average of 10 days
Pain
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Pain is measured with the Faces Pain Scale (range: 0-10, higher scores indicate higher pain)
Time until discharge from the intensive care unit, an expected average of 10 days
Self-reported cognitive functioning
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Self-reported cognitive functioning is measured with a list of problems of cognitive functions (range: 0-4, higher scores indicate worse cognitive functioning)
Time until discharge from the intensive care unit, an expected average of 10 days
Incidence of delirium
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Incidence of delirium is measured by CAM-ICU twice per day until
Time until discharge from the intensive care unit, an expected average of 10 days
Length of stay
Time Frame: Time until discharge from hospital, an expected average of 20 days
Length of stay is measured in days.
Time until discharge from hospital, an expected average of 20 days
Length of intensive care unit stay
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Length of intensive care unit stay is measured in days.
Time until discharge from the intensive care unit, an expected average of 10 days
Duration of mechanical ventilation
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Duration of mechanical ventilation is measured in hours.
Time until discharge from the intensive care unit, an expected average of 10 days
APACHE II-Score
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
APACHE II score is measured by the Acute Physiology and Chronic Health Evaluation System II.
Time until discharge from the intensive care unit, an expected average of 10 days
Medication
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Medication is measured by data retrieved from the patient data management system.
Time until discharge from the intensive care unit, an expected average of 10 days
Treatment
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Treatment is measured by data retrieved from the patient data management system.
Time until discharge from the intensive care unit, an expected average of 10 days
Diagnoses
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Diagnoses are measured by ICD-10 codes retrieved from the patient data management system.
Time until discharge from the intensive care unit, an expected average of 10 days
Mode of intensive care unit admission
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Mode of intensive care unit admission is measured by admission data retrieved from the patient data management system.
Time until discharge from the intensive care unit, an expected average of 10 days
Diagnosis of post-intensive care syndrome (PICS)
Time Frame: Up to one month
Diagnosis of PICS is measured by an extensive clinical examination.
Up to one month
Log data per patient
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Process data of app use: Log data per patient measured from start to end of app use
Time until discharge from the intensive care unit, an expected average of 10 days
Stressor intensity-
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Process data of app use: Stressor intensity measured from start to end of app use
Time until discharge from the intensive care unit, an expected average of 10 days
Support of study personal
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Number of app use trials with assistance of study personnel.
Time until discharge from the intensive care unit, an expected average of 10 days
Acceptance of app
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Patient reported acceptance of app use, daily until the end of app use
Time until discharge from the intensive care unit, an expected average of 10 days
Usability of app
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Patient reported usability of app, daily until the end of app use
Time until discharge from the intensive care unit, an expected average of 10 days
Relevance and understandability of app stressor items
Time Frame: Time until discharge from the intensive care unit, an expected average of 10 days
Patient reported relevance and understandability of app stressor items until the end of app use
Time until discharge from the intensive care unit, an expected average of 10 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Claudia Spies, MD, Prof., Charite University, Berlin, Germany

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 4, 2023

Primary Completion (Actual)

October 11, 2023

Study Completion (Actual)

October 11, 2023

Study Registration Dates

First Submitted

April 22, 2021

First Submitted That Met QC Criteria

May 5, 2021

First Posted (Actual)

May 11, 2021

Study Record Updates

Last Update Posted (Estimated)

January 24, 2024

Last Update Submitted That Met QC Criteria

January 23, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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