PDF(Pubmed)
Abstract：
UNASSIGNED: Unsafe medication practices and medication errors are a major cause of harm in healthcare systems around the world. This study aimed to explore the factors that influence the risk of medication and provide medication risk evaluation model for adults in Shanxi province, China.
UNASSIGNED: The data was obtained from the provincial questionnaire from May to December 2022, relying on the random distribution of questionnaires and online questionnaires by four hospitals in Shanxi Province. Multiple linear regression analysis was used to explore the factors affecting the KAP score of residents. Univariate and multivariate logistic regression was used to determine the independent risk factors, and the nomogram was verified by receiver operating characteristic curve, calibration and decision curve analysis.
UNASSIGNED: A total of 3,388 questionnaires were collected, including 3,272 valid questionnaires. The average scores of drugs KAP were 63.2 ± 23.04, 33.05 ± 9.60, 23.67 ± 6.75 and 33.16 ± 10.87, respectively. On the evaluation criteria of the questionnaire, knowledge was scored \"fair\", attitude and practice were scored \"good\". Sex, monthly income, place of residence, insurance status, education level, and employment were regarded as independent risk factors for medication and a nomogram was established by them.
UNASSIGNED: Males, low-income, and low-educated people are important factors affecting the risk of medication. The application of the model can help residents understand the risk of their own medication behavior and reduce the harm of medication.
UNASSIGNED: The data was obtained from the provincial questionnaire from May to December 2022, relying on the random distribution of questionnaires and online questionnaires by four hospitals in Shanxi Province. Multiple linear regression analysis was used to explore the factors affecting the KAP score of residents. Univariate and multivariate logistic regression was used to determine the independent risk factors, and the nomogram was verified by receiver operating characteristic curve, calibration and decision curve analysis.
UNASSIGNED: A total of 3,388 questionnaires were collected, including 3,272 valid questionnaires. The average scores of drugs KAP were 63.2 ± 23.04, 33.05 ± 9.60, 23.67 ± 6.75 and 33.16 ± 10.87, respectively. On the evaluation criteria of the questionnaire, knowledge was scored \"fair\", attitude and practice were scored \"good\". Sex, monthly income, place of residence, insurance status, education level, and employment were regarded as independent risk factors for medication and a nomogram was established by them.
UNASSIGNED: Males, low-income, and low-educated people are important factors affecting the risk of medication. The application of the model can help residents understand the risk of their own medication behavior and reduce the harm of medication.
摘要：
不安全的用药方法和用药错误是造成全球医疗系统损害的主要原因。本研究旨在探讨影响山西省成年人用药风险的因素,为山西省成年人用药风险提供评价模型。中国。
■数据是从2022年5月至12月的省级问卷中获得的，依靠山西省四家医院随机发放的问卷和在线问卷。采用多元线性回归分析探讨影响居民KAP评分的因素。单因素和多因素logistic回归用于确定独立危险因素。并通过接收器工作特性曲线验证了列线图，校准和决策曲线分析。
■共收集了3388份问卷，包括3,272份有效问卷。药物KAP平均得分为63.2±23.04、33.05±9.60、23.67±6.75和33.16±10.87。关于问卷的评价标准,知识得分“公平”，态度和实践被评为“良好”。性,月收入,居住地,保险状况,教育水平,和就业被认为是药物治疗的独立危险因素，并建立了列线图。
■男性，低收入,和低学历人群是影响用药风险的重要因素。该模型的应用可以帮助居民了解自身用药行为的风险,降低用药危害。
■数据是从2022年5月至12月的省级问卷中获得的，依靠山西省四家医院随机发放的问卷和在线问卷。采用多元线性回归分析探讨影响居民KAP评分的因素。单因素和多因素logistic回归用于确定独立危险因素。并通过接收器工作特性曲线验证了列线图，校准和决策曲线分析。
■共收集了3388份问卷，包括3,272份有效问卷。药物KAP平均得分为63.2±23.04、33.05±9.60、23.67±6.75和33.16±10.87。关于问卷的评价标准,知识得分“公平”，态度和实践被评为“良好”。性,月收入,居住地,保险状况,教育水平,和就业被认为是药物治疗的独立危险因素，并建立了列线图。
■男性，低收入,和低学历人群是影响用药风险的重要因素。该模型的应用可以帮助居民了解自身用药行为的风险,降低用药危害。
