Randomized Trial Data on Modular Surgical Kits for Thyroid Surgery Preparation
by Ping-ping Chen·Updated 26d ago
124.4 KB1files
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Description
100 patients were randomized to compare modular surgical kits against traditional preparation for thyroid surgery. The study, conducted from January to June 2024, recorded primary and secondary outcomes including preparation time, item omission, and satisfaction scores. The data, published by Ping-ping Chen under a CC-BY-4.0 license, supports analysis of operating room efficiency and consumable waste.
Use Cases
Compare preoperative preparation times between traditional and modular kit methods.
Analyze nurse and surgeon satisfaction scores from a randomized controlled trial.
Investigate the relationship between kit use and intraoperative supplemental item requests.
Model the impact of kit standardization on operating room turnover time.
Assess waste reduction by comparing the return rate of unused consumables.
Strengths
Dataset is based on a randomized controlled study with 100 patients, providing a structured comparison.
Primary and six secondary outcomes are quantitatively measured, including precise time reductions (e.g., 6-minute reduction in preparation time).
The study design includes a priori sample size calculation and applies statistical corrections (Bonferroni) for multiple comparisons.
Limitations
The authors note design limitations including potential contamination from patient-level randomization and lack of blinding for some outcomes.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
figshare
Collection Method
Data collected from a randomized controlled trial involving 106 screened patients, with 100 randomly assigned to control or experimental groups.
Time Range
January 2024 to June 2024
Freshness
Data covers January 2024 to June 2024 and was last updated on the platform in May 2026.
The dataset is a 124.4 KB PDF file; data extraction and parsing are required for analysis. License is CC-BY-4.0.