Standardized Workload Assessment Metric for Pediatric Emergency Departments ( <scp>SWAMPED</scp> ): Multicenter Derivation and Evaluation of a Task‐Level Workload Measure

BACKGROUND: Physician workload in pediatric emergency departments (PEDs) is associated with patient safety, quality of care, and clinician well-being, but is commonly inferred from proxy measures such as visit volume, acuity, or throughput metrics that incompletely capture the contextual and cognitive demands of clinical care. The Standardized Workload Assessment Metric for Pediatric Emergency Departments (SWAMPED) was developed to quantify workload at the level of discrete clinical tasks. We derived workload estimates and evaluated the reliability, precision, and contextual responsiveness of SWAMPED. METHODS: We conducted a multicenter cross-sectional study of PED physicians at tertiary children's hospitals within the Pediatric Emergency Research Canada network. Participants independently scored 46 care components using the NASA Task Load Index, a validated multidimensional instrument that measures perceived workload associated with a specific task (in this case a clinical care component) accounting for six domains of effort (mental, physical, time, effort, performance, and frustration). Six extrinsic patient and systems-level modifiers were assessed for their impact on component-level workload. We assessed score distributions, interrater agreement using intraclass correlation coefficients (ICC), precision of component estimates, and extrinsic modifiers' effects using mixed-effects models. RESULTS: Sixty-two physicians from 11 sites participated. Interrater agreement across care components was good (ICC: 0.69, 95% CI: 0.60-0.78). Mean workload scores varied across care components (range 22.1-99.5) with high precision (95% CI margin of error of 2.5-6.5 points; relative margin 5%-10%). Most components demonstrated increased workload in the presence of extrinsic modifiers, while intrinsic physician characteristics were not associated with significant differences in workload scores. CONCLUSIONS: SWAMPED generated reliable and precise, task-specific workload estimates and demonstrated sensitivity to clinically relevant contextual modifiers. This approach enables quantitative assessment of physician workload at the task level and provides a foundation for future investigations linking workload to clinical outcomes, clinician performance, and health system planning.

Authors

Institutions

Publication Details

Journal
Academic Emergency Medicine
Published
2026-05-01
DOI
https://doi.org/10.1111/acem.70314
Primary Topic
Emergency and Acute Care Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Standardized Workload Assessment Metric for Pediatric Emergency Departments ( SWAMPED ): Multicenter Derivation and Evaluation of a Task‐Level Workload Measure

Tibor van Rooij, Matthias Görges, Bruce Wright, Tania Principi et al.
Academic Emergency Medicine
Emergency and Acute Care Studies
article

Standardized Workload Assessment Metric for Pediatric Emergency Departments ( SWAMPED ): Multicenter Derivation and Evaluation of a Task‐Level Workload Measure

Tibor van Rooij, Matthias Görges, Bruce Wright, Tania Principi, Jocelyn Gravel, Jeffrey N. Bone, Devin Singh, Ahmed Mater, Katrina F. Hurley, Garth Meckler, Quynh Doan
article en

Abstract

BACKGROUND: Physician workload in pediatric emergency departments (PEDs) is associated with patient safety, quality of care, and clinician well-being, but is commonly inferred from proxy measures such as visit volume, acuity, or throughput metrics that incompletely capture the contextual and cognitive demands of clinical care. The Standardized Workload Assessment Metric for Pediatric Emergency Departments (SWAMPED) was developed to quantify workload at the level of discrete clinical tasks. We derived workload estimates and evaluated the reliability, precision, and contextual responsiveness of SWAMPED. METHODS: We conducted a multicenter cross-sectional study of PED physicians at tertiary children's hospitals within the Pediatric Emergency Research Canada network. Participants independently scored 46 care components using the NASA Task Load Index, a validated multidimensional instrument that measures perceived workload associated with a specific task (in this case a clinical care component) accounting for six domains of effort (mental, physical, time, effort, performance, and frustration). Six extrinsic patient and systems-level modifiers were assessed for their impact on component-level workload. We assessed score distributions, interrater agreement using intraclass correlation coefficients (ICC), precision of component estimates, and extrinsic modifiers' effects using mixed-effects models. RESULTS: Sixty-two physicians from 11 sites participated. Interrater agreement across care components was good (ICC: 0.69, 95% CI: 0.60-0.78). Mean workload scores varied across care components (range 22.1-99.5) with high precision (95% CI margin of error of 2.5-6.5 points; relative margin 5%-10%). Most components demonstrated increased workload in the presence of extrinsic modifiers, while intrinsic physician characteristics were not associated with significant differences in workload scores. CONCLUSIONS: SWAMPED generated reliable and precise, task-specific workload estimates and demonstrated sensitivity to clinically relevant contextual modifiers. This approach enables quantitative assessment of physician workload at the task level and provides a foundation for future investigations linking workload to clinical outcomes, clinician performance, and health system planning.

Academic Emergency MedicineVol. 33(5)
Dalhousie University (CA), University of British Columbia (CA), Hospital for Sick Children (CA), Alberta Children's Hospital (CA), Centre Hospitalier Universitaire Sainte-Justine (CA), University of Saskatchewan (CA), BC Children's Hospital (CA), Stollery Children's Hospital (CA)
Michael Smith Health Research BC, Canadian Institutes of Health Research
Openalex Percentile: Top 7%
Emergency and Acute Care Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.