การวิเคราะห์เครือข่ายของปัจจัยที่มีความสัมพันธ์กับการตัดสินใจสั่งจ่ายยาปฏิชีวนะ อย่างสมเหตุผล สำหรับการติดเชื้อทางเดินหายใจส่วนบนในผู้ป่วยนอก

Lawan Sratthaphut; Anantaya Jaidee; Nattee Phornprapa

doi:10.14456/jmu.2025.19

Authors

Lawan Sratthaphut Faculty of Pharmacy, Silpakorn University
Anantaya Jaidee Department of Pharmacy, Inburi Hospital
Nattee Phornprapa Faculty of Pharmacy, Silpakorn University

DOI:

https://doi.org/10.14456/jmu.2025.19

Keywords:

Network Analysis, Rational Antibiotic Prescribing, Upper respiratory tract infections

Abstract

This research aimed to study the important role of factors related to rational antibiotic prescribing decisions for upper respiratory tract infections (URTI) in outpatient using network analysis. Data were collected from electronic medical records of patients who visited outpatient department, Inburi Hospital, Singburi Province and, were diagnosed as URTI, during October 2016 - September 2019. One thousand seven hundred and forty prescriptions were analyzed. A total of 122 factors were tested for its statistical relationship using Chi-square and independent T-test (α = 0.05). Only factors with statistical significance on antibiotic prescribing decisions were further used for network analysis based on Graphic theory.

Results revealed that 49 factors associated with rational use of antibiotics. According to network analysis, only three factors (i.e., eye socket pain, social security medical right, number of antibiotics per prescription), were found to play an important role on rational antibiotic prescribing decisions. However, four factors (i.e., state enterprise medical right, patient age, quinolone prescribing, and macrolide prescribing) were found to play a significant role on irrational antibiotic prescribing decisions. These factors can be used as a guide for observation and education for hospital target groups to use antibiotics.

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Network Analysis of Factors Related to Rational Antibiotic Prescribing Decisions for Upper Respiratory Tract Infections in Outpatient

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