The Error Reduction of Orthopedic Surgery Instruments Wrapping using Illustrations Guide in Nakhon Phanom Hospital

Abstract

Objective : To compare the error of orthopedic surgery instruments wrapping method between using illustrations guide and without illustration guide

Materials and Method : This efficiency study was conducted at Central Sterile Supply Department in Nakhon Phanom Hospital by using Historical controlled intervention method to compare the error of orthopedic surgery instruments wrapping between without illustration guide during the period of April – September 2017 (83 sets) and using illustrations guide during period of October 2017 – April 2018 (91 sets); the orthopedic surgery instruments sets were Set Small, Tibia-femoral, and Set Spine.The exact probability test was applied to compare the percentage of error of the orthopedic surgery instruments wrapping between two wrapping methods.

Result : There were 174 of orthopedic surgery instruments wrapping sets; 83 sets that wrapped without illustrations guide found totally 13 error sets (15.7%) and 91 sets that wrapped using illustrations guide found totally 2 error sets (2.2%). To classify by orthopedic surgery instruments sets as Small Set were 37 sets wrapping without illustrations guide and found 6 error sets (16.2%) and 40 sets wrapping using illustrations guide and found 1 error set (2.5%), Set Tibia-femoral were 21 sets wrapping without illustrations guide and found 2 error sets (9.5%) and there was not found an error of 21 sets wrapping using illustrations guide, and Set Spine were 25 sets wrapping without illustrations guide and found 5 error sets (20%) and 30 sets wrapping using illustrations guide and found 1 error set (3.3%) To compare the percentage of error of the orthopedic surgery instruments wrapping between with illustrations guide and without illustrations guide; it was reduced statistical significantly for the overall orthopedic surgery instruments wrapping (15.7% vs. 2.2%, p=0.001), and for Set Small wrapping (16.2% vs. 2.5%, p=0.043)