A Systematic Review of Antibiotic Prescription Associated With Upper Respiratory Tract Infections in China

Abstract

Overuse of antibiotics among patients with upper respiratory tract infection (URTI) is a worldwide problem, and the problem is especially serious in developing countries, such as China. This systematic review is aimed at summarizing previous findings on outpatient prescriptions of antibiotics associated with URTI in China in order to help policymakers and the public understand and tackle the problem.We systematically searched and reviewed studies of antibiotic prescribing patterns for outpatients with URTI in China that were published in Chinese or English before December 31, 2014. The study quality was assessed, and the overall rates of URTI cases prescribed antibiotics were calculated by using random-effects model. Subgroup analyses were performed to explore the potential sources of heterogeneity among studies.We included 45 eligible studies with a total of 52,072 URTI outpatients. The overall percentage of URTI outpatients prescribed antibiotics was 83.7% (95% confidence interval [CI]: 80.6%-86.4%). Of the URTI outpatients prescribed antibiotics, 79.7% (95% CI: 72.8%-85.2%) were prescribed 1 antibiotic, 18.4% (95% CI: 13.6%-24.5%) prescribed 2 antibiotics, and 1.1% (95% CI: 0.7%-1.6%) prescribed 3 or more antibiotics. The rates of antibiotic prescription varied greatly across hospitals and showed a downward trend over time.An extremely high percentage of URTI patients in China were prescribed antibiotics and, the overuse is especially problematic in lower-level hospitals. Although there appears a downward trend, likely attributable to China's recent efforts in curbing antibiotic abuse, greater efforts are needed to promote the rational use of antibiotics.

FIGURE 1

Flow diagram of study identification.

FIGURE 2

Forest plot of reported percentage use of antibiotics with URTI in China. One included study (a034-Wenji Luo) was divided into 2 different subgroups in groupwise analysis, and the other one (a083-Manqing Gui) was divided into 3 different subgroups in groupwise analysis.