Jiarui Gu1, Jizi Zhao1, Ying Huang1, Weidong Yang2, Zheng Ren2, Wenjing Li1, Yuzhuo Fan1, Qiao Zhang3, Fengmin Zhang1,4,5, Yingmei Fu1,4,5. 1. Department of Microbiology, Harbin Medical University, Harbin, China. 2. The Second Affiliated Hospital of Harbin Medical University, Harbin, China. 3. Harbin Medical University, Harbin, China. 4. Wu Lien-Teh Institute, Harbin Medical University, Harbin, China. 5. Heilongjiang Provincial Key Laboratory of Infection and Immunity, Harbin Medical University, Harbin, China.
Abstract
OBJECTIVE: To identify and compare the factors affecting the knowledge of, attitude towards and use of antibiotics between urban and rural residents in China. METHODS: A total of 3631 urban and rural residents in Heilongjiang Province, China, were selected using random sampling. Questionnaires recorded demographic characteristics and participant knowledge of, attitude towards and use of antibiotics. The responses of rural and urban residents were compared, and logistic regression analysis was applied to identify the factors that may contribute to the knowledge of, attitude towards and use of antibiotics. RESULTS: The majority of the participants (>60%) were aware that antibiotics could be used to treat bacterial infections and that bacteria could be resistant to antibiotics. However, only roughly half (40-60%) of the participants were aware that bacterial resistance to antibiotics had become a problem in China. Urban participants reported a more adequate knowledge of, attitude towards and use of antibiotics than rural participants. Logistic regression analysis indicated that urban residency, female gender and level of education were associated with knowledge of, attitude towards and use of antibiotics. CONCLUSIONS: Within our sample in Heilongjiang Province, the knowledge of, attitude towards and use of antibiotics were suboptimal in roughly half of all urban and rural residents, but better in urban than in rural residents. Targeted interventions to educate rural residents in particular may reduce the misuse of antibiotics.
OBJECTIVE: To identify and compare the factors affecting the knowledge of, attitude towards and use of antibiotics between urban and rural residents in China. METHODS: A total of 3631 urban and rural residents in Heilongjiang Province, China, were selected using random sampling. Questionnaires recorded demographic characteristics and participant knowledge of, attitude towards and use of antibiotics. The responses of rural and urban residents were compared, and logistic regression analysis was applied to identify the factors that may contribute to the knowledge of, attitude towards and use of antibiotics. RESULTS: The majority of the participants (>60%) were aware that antibiotics could be used to treat bacterial infections and that bacteria could be resistant to antibiotics. However, only roughly half (40-60%) of the participants were aware that bacterial resistance to antibiotics had become a problem in China. Urban participants reported a more adequate knowledge of, attitude towards and use of antibiotics than rural participants. Logistic regression analysis indicated that urban residency, female gender and level of education were associated with knowledge of, attitude towards and use of antibiotics. CONCLUSIONS: Within our sample in Heilongjiang Province, the knowledge of, attitude towards and use of antibiotics were suboptimal in roughly half of all urban and rural residents, but better in urban than in rural residents. Targeted interventions to educate rural residents in particular may reduce the misuse of antibiotics.
Authors: Chulwoo Rhee; George Aol; Alice Ouma; Allan Audi; Shadrack Muema; Joshua Auko; Richard Omore; George Odongo; Ryan E Wiegand; Joel M Montgomery; Marc-Alain Widdowson; Ciara E O'Reilly; Godfrey Bigogo; Jennifer R Verani Journal: BMC Public Health Date: 2019-05-10 Impact factor: 3.295
Authors: Guanyang Zou; Xiaolin Wei; Joseph P Hicks; Yanhong Hu; John Walley; Jun Zeng; Helen Elsey; Rebecca King; Zhitong Zhang; Simin Deng; Yuanyuan Huang; Claire Blacklock; Jia Yin; Qiang Sun; Mei Lin Journal: BMJ Open Date: 2016-05-27 Impact factor: 2.692