A Statistical Analysis of Preanesthetic Consultation in the Pediatric Patient.
10.4097/kjae.2004.46.1.55
- Author:
Ah Young OH
1
;
Won Sik AHN
;
Chong Doo PARK
;
Chong Sung KIM
;
Seong Deok KIM
;
Jun Gul LEE
Author Information
1. Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
consultation;
pediatric;
preanesthetic evaluation
- MeSH:
Age Distribution;
Anesthesiology;
Heart Defects, Congenital;
Humans;
Incidence;
Ophthalmology;
Orthopedics;
Referral and Consultation;
Surgery, Plastic;
Thoracic Surgery
- From:Korean Journal of Anesthesiology
2004;46(1):55-58
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND: Adequate pre-anesthetic evaluation could improve both patient outcome and hospital management by reducing the rates of operation delay and cancellation. We undertook this study to contribute to the establishment of a pre-anesthetic evaluation system by studying pediatric patients who had preoperatively consulted the anesthesiology department. METHODS: Data were collected using the EMR (Electronic Medical Record) system. 260 pediatric patients, age limitation 15 years, who had consulted our anesthesiology staff, were enrolled. The age distributions, departments consulted and clinical causes were analyzed. RESULTS: The age distributions were as follow; <1 month: 1.5%, 1 month-1 year: 29.2%, 1-4 years: 23.8%, 5-7 years: 18.1% and 8-15 years: 27.3%. The causes of the consultations were mainly pulmonary (27.3%), cardiovascular (21.9%), gastrointestinal (12.3%), airway (9.6%) problems and other causes (26.5%). The most common diseases were congenital heart disease, prematurity and URI. The major departments consulted were general surgery (16.2%), ophthalmology (15.4%), thoracic surgery (15.0%), plastic surgery (15.0%) and orthopedic surgery (14.6%). CONCLUSIONS: The establishment of a communication system with surgeons concerning patient management guidelines about the common causes of consultations would improve hospital management by reducing the incidences of delay and the cancellation of operations.
