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

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.