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Dispensing and Counseling Practices of Topical Antibiotics Among Community Pharmacists in Saudi Arabia: A Cross-sectional Study

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Mendeley Data2026-04-18 收录
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https://data.mendeley.com/datasets/vcvfx3k94m
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This dataset provides a comprehensive look at how community pharmacists in Saudi Arabia handle topical antibiotics—a critical area of study given the global rise of antimicrobial resistance (AMR). The data captures the intersection of professional knowledge, retail pressure, and patient communication. Dataset Overview This cross-sectional study was conducted to evaluate the dispensing patterns and counseling quality provided by community pharmacists across various regions of Saudi Arabia. As frontline healthcare providers, these pharmacists play a pivotal role in ensuring that topical antibiotics (such as mupirocin, fusidic acid, and clindamycin) are used appropriately to prevent the development of resistant skin infections. Core Variables & Data Points The dataset is structured into several key dimensions: Pharmacist Demographics: Age, gender, years of experience, and educational background (BPharm, PharmD, or Post-graduate). Dispensing Practices: Frequency of dispensing antibiotics without a prescription (over-the-counter), common indications cited by patients, and the most frequently dispensed antibiotic classes. Counseling Content: Documentation of whether pharmacists provide instructions on: Application frequency and duration. Potential side effects (e.g., localized irritation). The risks of premature treatment cessation. Hand hygiene and site preparation. Barriers to Best Practice: Self-reported obstacles such as high patient volume, lack of private counseling areas, or patient non-compliance. Knowledge Assessment: Scores related to the pharmacist's understanding of AMR and specific clinical guidelines for skin and soft tissue infections. Methodology Summary The data was collected using a validated, self-administered electronic survey distributed to community pharmacists. The sampling strategy aimed for geographic diversity to reflect practices in both major urban centers (like Riyadh and Jeddah) and smaller provinces. Statistical analysis within the set typically includes: Descriptive Statistics: Frequencies and percentages for categorical variables. Inferential Statistics: Chi-square tests or logistic regression to identify predictors of "Good Counseling Practice" (e.g., does more experience correlate with better counseling?). Potential Use Cases This dataset is particularly valuable for: Public Health Researchers: Identifying gaps in antibiotic stewardship within the private sector. Policy Makers: Developing targeted educational interventions or stricter enforcement of prescription-only regulations in Saudi Arabia. Pharmacy Educators: Tailoring continuing professional development (CPD) programs to address specific weaknesses in topical therapy knowledge. Note on Data Privacy: All participant data has been anonymized. No identifiable information regarding specific pharmacies or individual pharmacists is included in the public record.

本数据集全面呈现了沙特阿拉伯社区药师应对外用抗生素的实践情况——鉴于全球抗菌药物耐药性(antimicrobial resistance, AMR)问题愈发严峻,该研究领域具有重要意义。数据集涵盖了专业知识、零售压力与患者沟通三者之间的交互场景。 ## 数据集概况 本横断面研究旨在评估沙特阿拉伯各地区社区药师的处方调配模式与用药咨询质量。作为一线医疗服务提供者,此类药师在确保外用抗生素(topical antibiotics,如莫匹罗星、夫西地酸与克林霉素)合理使用以预防耐药性皮肤感染方面发挥着关键作用。 ## 核心变量与数据点 本数据集分为以下核心维度: - 药师人口统计学特征:年龄、性别、从业年限及学历背景(药学学士BPharm、药学博士PharmD或研究生学历)。 - 处方调配行为:非处方(over-the-counter)抗生素调配频次、患者提及的常见用药指征,以及最常调配的抗生素类别。 - 咨询内容:记录药师是否提供以下指导: - 用药频次与疗程 - 潜在不良反应(如局部刺激) - 过早停药的风险 - 手部卫生与用药部位准备 - 最佳实践障碍:受试者自述的阻碍因素,如患者接诊量过大、缺乏私密咨询空间或患者依从性不佳。 - 知识评估:与药师对抗菌药物耐药性(antimicrobial resistance, AMR)及皮肤和软组织感染相关临床指南的掌握程度相关的评分。 ## 研究方法概述 本数据集通过经过验证的自填式电子问卷收集,问卷发放对象为社区药师。抽样策略兼顾地域多样性,以反映利雅得、吉达等主要城市中心及小型省份的实践情况。 本数据集常用统计分析方法包括: - 描述性统计:分类变量的频数与百分比 - 推断性统计:卡方检验或逻辑回归,以识别"Good Counseling Practice"(优质咨询实践)的预测因素(如从业年限是否与更优质的咨询服务相关)。 ## 潜在应用场景 本数据集在以下场景中具有重要应用价值: - 公共卫生研究者:识别私营领域抗生素管理的短板 - 政策制定者:制定针对性教育干预措施,或加强沙特阿拉伯处方药监管的执行力度 - 药学教育工作者:定制继续职业发展(continuing professional development, CPD)项目,以弥补外用治疗知识方面的特定短板。 ## 数据隐私说明 所有受试者数据均已匿名化处理,公开数据中不包含任何可识别特定药房或个体药师的信息。
创建时间:
2026-03-03
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