ArticleNursing in critical care2026
Methods and Instruments to Measure ICU Healthcare Professionals' Workload Related to Medical Technology-Protocol for a Scoping Review.
Article in Nursing in critical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Methods and Instruments to Measure ICU Healthcare Professionals' Workload Related to Medical Technology-Protocol for a Scoping Review.Nursing in critical care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare systems increasingly adopt medical technologies in direct patient care, particularly in highly technological environments like intensive care units (ICUs). While these technologies aim to enhance clinical outcomes, they can also introduce complexities that affect healthcare professionals' workload. Measuring workload related to the use of medical technology is crucial to ensure technologies support rather than hinder care delivery. Workload in this context encompasses temporal demands, subtask frequency and cognitive demands-distinct from scoring systems determining staffing ratios.
aimTo identify methods and instruments to measure ICU healthcare professionals' workload during direct patient care activities involving medical technology. STUDY
designWe will follow the Joanna Briggs Institute framework and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines, using narrative synthesis to summarise findings. Electronic databases MEDLINE, EMBASE, PsycINFO, CINAHL, Cochrane Library, ISI Web of Science, the WHO International Clinical Trials Registry Platform and Google Scholar will be searched for studies published 2010-2025 reporting primary data. EXCLUSION CRITERIA: paediatric population, editorials, letters and patient-based scoring systems (e.g., Therapeutic Intervention Scoring System-76; Nursing Activities Score). Two reviewers will independently screen records and extract data using standardised forms. Reporting quality will be assessed using a self-developed tool. Findings will be presented in a flowchart, tables and figures. RELEVANCE TO CLINICAL PRACTICE: This review will provide a comprehensive overview of workload measurement methods during direct patient care activities involving medical technology in ICUs, serving as a practical resource for evaluating the workload impact of existing and emerging technologies. REVIEW REGISTRATION: Open Science Framework, registered on 26th of September 2024 (registration DOI: 10.17605/OSF.IO/2A97J, https://osf.io/2a97j/).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.