Nursing WorkloadNCT07173218
ICU Nurses' Perspectives on a Nursing Workload Dashboard
An observational study of Nursing Workload, run by Willemijn Berkhout.
Trial summary
Increasing patient complexity, staffing shortages, and administrative burdens have intensified nurses' workloads, contributing to burnout and reduced job satisfaction. These challenges were particularly evident in the intensive care units (ICU) during the COVID-19 outbreak. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Nursing Workload
- How many people
- 60 participants
- Where
- No sites listed yet
- Study dates
- 1 Oct 2025to 1 Feb 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Child, Adult, Older adult
Study population: ICU nurses from Erasmus Medical Center
Who may be able to join
- An ICU nurse within the Erasmus Medical Center
- Informed-consent is signed by the ICU nurse before the interview and survey
Who cannot join
None listed.
About this study
Official title: Nurses' Perspectives on the Implementation of a Nursing Workload Dashboard in the Intensive Care Unit
Increasing patient complexity, staffing shortages, and administrative burdens have intensified nurses' workloads, contributing to burnout and reduced job satisfaction. These challenges were particularly evident in the intensive care units (ICU) during the COVID-19 outbreak. With the growing healthcare demand in front of us, it is essential to understand and manage perceived workload effectively to maintain high-quality care and promote staff well-being. A real-time overview of nursing workload may facilitate the identification of patients requiring additional support and enable more effective distribution of workload among nurses during shifts. A dashboard has therefore been developed for use in the ICU to provide an overview of the patients at the unit and their corresponding nursing workload. To assess whether this dashboard is fit for purpose, this study aims to evaluate nurses' perspectives on its implementation, focusing on acceptance, adoptability, appropriateness, and fidelity. Additionally, the model for the calculation of the nursing workload will be assessed in terms of its alignment with ICU nurses' perceived workload and its potential for automation with artificial intelligence (AI).
- Conditions
- Nursing Workload
- Keywords
- Acceptance, Appropriateness, Feasibility, Nursing workload, Dashboard, Intensive Care Unit (ICU)
What is being measured
The primary outcome is the main question the study is designed to answer.
Implementation outcomes acceptance, adoptability, appropriateness and fidelity
The mean scores and standard deviations of the 5-point Likert scale (1 = strongly disagree, 2 = disagree, 3 = undecided, 4 = agree, 5 = strongly agree) closed-ended questions of the survey on the nurses' perspectives will be calculated.
Measured: 1 and 3 months after implementation
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Sep 2025
- Study start1 Oct 2025 (estimated)
- Primary completion1 Jan 2026 (estimated)
- Study completion1 Feb 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nursing WorkloadStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 60 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Willemijn Berkhout
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Willemijn Berkhout, Erasmus Medical Center
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07173218
- Sponsor's protocol ID
- 14382
- Status last verified
- Sep 2025
- First submitted
- 8 Sep 2025
- Last updated
- 15 Sep 2025
- Results posted
- No
Study at a glance
From the registry record, last updated by the sponsor on 15 Sep 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Nurses' Perspectives on the Implementation of a Nursing Workload Dashboard in the Intensive Care Unit
- ClinicalTrials.gov ID
- NCT07173218
- Acronym / sponsor ID
- 14382
- Conditions
- Nursing Workload
- Keywords
- Acceptance, Appropriateness, Feasibility, Nursing workload, Dashboard, Intensive Care Unit (ICU)
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 60 participants (estimated)
- Lead sponsor
- Willemijn BerkhoutUniversity, hospital or other
- Study start
- 1 Oct 2025 (estimated)
- Primary completion
- 1 Jan 2026 (estimated)
- Study completion
- 1 Feb 2026 (estimated)
- First posted
- 15 Sep 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Increasing patient complexity, staffing shortages, and administrative burdens have intensified nurses' workloads, contributing to burnout and reduced job satisfaction. These challenges were particularly evident in the intensive care units (ICU) during the COVID-19 outbreak. With the growing healthcare demand in front of us, it is essential to understand and manage perceived workload effectively to maintain high-quality care and promote staff well-being. A real-time overview of nursing workload may facilitate the identification of patients requiring additional support and enable more effective distribution of workload among nurses during shifts. A dashboard has therefore been developed for use in the ICU to provide an overview of the patients at the unit and their corresponding nursing workload. To assess whether this dashboard is fit for purpose, this study aims to evaluate nurses' perspectives on its implementation, focusing on acceptance, adoptability, appropriateness, and fidelity. Additionally, the model for the calculation of the nursing workload will be assessed in terms of its alignment with ICU nurses' perceived workload and its potential for automation with artificial intelligence (AI).
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Sex
- All
- Age groups
- Child, Adult, Older adult
- Study population
- ICU nurses from Erasmus Medical Center
Key inclusion criteria (2 listed)
- An ICU nurse within the Erasmus Medical Center
- Informed-consent is signed by the ICU nurse before the interview and survey
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Implementation outcomes acceptance, adoptability, appropriateness and fidelity
Time frame: 1 and 3 months after implementation
The mean scores and standard deviations of the 5-point Likert scale (1 = strongly disagree, 2 = disagree, 3 = undecided, 4 = agree, 5 = strongly agree) closed-ended questions of the survey on the nurses' perspectives will be calculated.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Sep 2025.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Nursing Workload, run by Willemijn Berkhout.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 15 Sep 2025. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Implementation outcomes acceptance, adoptability, appropriateness and fidelity (time frame: 1 and 3 months after implementation). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Sep 2025.