Table 4 The definitions of the variables used in the logistic regression analyses
From: Exploring the tradeoff between data privacy and utility with a clinical data analysis use case
Variable names | Descriptions (encoding) |
|---|---|
Sex | Sex of the patients (0 = Male, 1 = Female) |
Age | Age of the patients in years (0 = < 60yrs, 1 = ≥ 60yrs) |
Acuity level | Severity classification according to Korean Triage and Acuity Scale (KTAS) level (0 = Level 1, 1 = Others) |
Number of consults | The number of consults (0 = < 3, 1 = ≥ 3) |
Inter-hospital communication | Prior communication between medical staff at the time of transfer (0 = No, 1 = Yes) |
Sending hospital location | Location of the sending hospital (0 = Inside seoul, 1 = Outside seoul) |
High priority disease | Classification of high priority diseases included in the Korean High Priority Diseases Classification Standards (0 = No, 1 = Yes) |
Neoplastic disease | Presence of neoplasm diseases (0 = No, 1 = Yes) |
Circulatory disease | Presence of circulatory diseases (0 = No, 1 = Yes) |
Respiratory disease | Presence of respiratory diseases (0 = No, 1 = Yes) |
Sending hospital type | Type of the sending hospital according to patient’s length of stay (0 = Short-term care facility, 1 = Long-term care facility) |
Injury-related visits | Reason/types for visiting the emergency room due to illness or injury (0 = Disease, 1 = Injury) |
Treatment outcome | Whether additional plans were established for patient treatment results (0 = Discharge/ Against medical advice (AMA) discharge, 1 = Admission/Procedure/Operation/Transfer to other hospitals) |
ED LOS | The length of stay at Emergency Department (0: LOS <= 6 h, 1: LOS > 6 h) |