Anonymized Staff Simulation and NEA Dataset for Modular Hospital Spatial Adequacy Analysis

Description

This dataset supports the study entitled “Evaluating Scenario-Specific Net Effective Area Thresholds for Key Clinical Spaces in Modular Hospitals Using Staff-Based Clinical Simulations.” The dataset contains two Excel files used to estimate scenario-specific net effective area (NEA) thresholds for key clinical spaces in modular field hospitals. The first file, analysis_final.xlsx, provides the analysis-ready long-format dataset. Each row represents one matched observation linking a respondent, case, session, segment, scenario, room type, NEA value, and staff-rated spatial adequacy score. This file was used for Spearman’s rank correlation, isotonic regression, plateau-onset threshold estimation, and participant-level cluster bootstrapping. The second file, NEA Calculation.xlsx, provides the NEA calculation data used to derive room-level net effective area values. It includes case, session, segment, space, scenario, total footprint, furniture area, bed footprint, number of beds, medical equipment footprint, and calculated NEA values. The equipment footprint variables include items such as IV poles, mobile patient monitors, patient transport carts, nurse carts, emergency carts, defibrillators, wheelchairs, waiting chairs, sinks, desks, and beds. Together, these files enable verification of the NEA derivation process and the matched analysis dataset used to evaluate the relationship between spatial capacity and staff-perceived spatial adequacy under routine and emergency/surge conditions. The dataset is shared for research transparency and reproducibility. Any personally identifiable information and project-sensitive raw materials, such as original drawings, photographs, videos, and detailed clinical simulation records, are not included.

Steps to reproduce

1. Download the two Excel files: analysis_final.xlsx and NEA Calculation.xlsx. 2. Use NEA Calculation.xlsx to verify the derivation of room-level net effective area (NEA). NEA was calculated by subtracting fixed furniture area, medical equipment footprint, and bed footprint from the total room footprint for each case, session, segment, room type, and scenario. 3. Use analysis_final.xlsx as the analysis-ready long-format dataset. Each row links an anonymized respondent, case, session, segment, scenario, room type, NEA value, and staff-rated spatial adequacy score. 4. Group the analysis dataset by room type and scenario. For each room–scenario subset, examine the monotonic association between NEA and staff-rated spatial adequacy using Spearman’s rank correlation. 5. Fit isotonic regression models to each room–scenario subset using NEA as the independent variable and staff-rated spatial adequacy as the dependent variable. 6. Derive the recommended NEA threshold as the smallest NEA at which the fitted isotonic usability value reaches within Δ = 0.2 of the subset-specific maximum fitted usability. 7. Conduct participant-level cluster bootstrap resampling by resampling anonymized participant IDs with replacement and retaining all observations from each selected participant. Repeat the isotonic regression and threshold extraction process for each bootstrap replicate. 8. Use the bootstrap distributions to calculate 95% percentile confidence intervals for the recommended NEA thresholds and to assess the stability of the estimates. 9. Compare the estimated NEA thresholds with guideline-based minimum NEA benchmarks for the triage room, nurse station, treatment room, and observation room.

Institutions

• Hanyang University

  Seoul, Seoul

Categories

Licence