Prevalence and Associated Factors for Purchasing Antibiotics Without a Prescription Among Patients in Rural South Africa: Implications for Addressing Antimicrobial Resistance
Abstract
1. Introduction
2. Results
2.1. Sample Size and Response Rate
2.2. Socio-Demographic Characteristics of Patients
2.3. Medicine Items Dispensed to Patients and/or Purchased by Them from Community Pharmacies
2.4. Antibiotics Dispensed to Patients With or Without a Prescription
2.5. Antibiotics Dispensed to Patients from Different Categories of Pharmacies
2.6. Types of Antibiotics Dispensed to Patients Distributed by the AWaRe Classification
2.7. Indications or Conditions for Which Patients Sought Treatment
2.8. Patients’ Reasons for Accessing Community Pharmacies
3. Discussion and Next Steps
4. Materials and Methods
4.1. Study Design and Setting
4.2. Target Population and Study Sample
4.3. Patient Questionnaire Development
4.4. Patient Recruitment and Data Collection
4.5. Data Management and Analysis
- The extent of purchasing of antibiotics without a prescription between different pharmacy categories. Our hypothesis was that there would be differences between pharmacy categories, based on the study of Mokwele et al. and the pilot studies (Table 1).
- The types of antibiotics and indications for antibiotics dispensed with or without a prescription. Our hypothesis was that there would be a difference based on published studies across LMICs, as well as the existing findings in South Africa (Table 1 and Supplementary Table S1).
- Antibiotics dispensed with or without a prescription from the different AWaRe categories, with a particular focus on Access antibiotics.
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Study | Key Findings |
|---|---|
| Anstey Watkins et al., 2019 [56] |
|
| Do et al., 2021 [57] |
|
| Mokwele et al., 2022 [54] |
|
| Sono et al., 2024 and 2025 [58,59] |
|
| Maluleke et al., 2025 [60] |
|
| Pharmacy Category and Sociodemographic Characteristics | Number (%) of Participants (N = 465) | |
|---|---|---|
| Pharmacy category | Chain | 80 (17.2) |
| Franchise | 116 (24.9) | |
| Independent | 269 (57.8) | |
| Sex | Male | 232 (49.9) |
| Female | 233 (50.1) | |
| Language | Tshivenda | 50 (10.8) |
| Xitsonga | 69 (14.8) | |
| Sepedi | 133 (28.6) | |
| English | 213 (45.8) | |
| Education level | None | 2 (0.4) |
| Secondary school completed | 56 (12.0) | |
| ABET certificate | 5 (1.1) | |
| College certificate | 76 (16.3) | |
| Diploma | 145 (31.2) | |
| Honours | 5 (1.1) | |
| Bachelor’s degree | 145 (31.2) | |
| Master’s degree | 27 (5.8) | |
| Doctoral degree | 4 (0.9) | |
| Medicine Items | Patients Dispensed Medicine Items | ||
|---|---|---|---|
| With a Prescription (n = 127) | Without a Prescription, Including OTC Medicines (n = 338) | Total (N = 465) | |
| Number (%) of items | 369 (34.2) | 710 (65.8) | 1079 |
| Mean (SD) number of items per patient | 2.9 (1.36) | 2.1 (0.87) | 2.3 (1.09) |
| Median (IQR) number of items per patient | 3.0 (2.0) | 2.0 (2.0) | 2.0 (1.0) |
| Minimum number of items per patient | 1.0 | 1.0 | 1.0 |
| Maximum number of items per patient | 6.0 | 5.0 | 6.0 |
| Antibiotics Dispensed | Number (%) of Patients Who Received an Antibiotic | |||
|---|---|---|---|---|
| With a Prescription * | Without a Prescription * | Total ** | ||
| Number of antibiotic items | 1 | 42 (31.8) | 90 (68.2) | 132 (52.2) |
| 2 | 12 (10.2) | 106 (89.8) | 118 (46.6) | |
| 3 | 0 | 3 (100) | 3 (0.2) | |
| Antibiotic intended for | Adult | 33 (19.0) | 141 (81.0) | 174 (68.8) |
| Child # | 21 (26.6) | 58 (73.4) | 79 (31.2) | |
| Total number (% [95%CI]) | 54 (21.3 [16.7–26.8]) | 199 (78.7 [73.2–83.3]) | 253 | |
| Antibiotic | AWaRe Category | Number (%) of Antibiotics Dispensed | ||
|---|---|---|---|---|
| With a Prescription * | Without a Prescription * | Total ** | ||
| Metronidazole | Access | 4 (2.9) | 132 (97.1) | 136 (36.2) |
| Azithromycin | Watch | 19 (15.4) | 104 (84.6) | 123 (32.7) |
| Cotrimoxazole | Access | 1 (3.6) | 27 (96.4) | 28 (7.4) |
| Co-amoxiclav | Access | 18 (85.7) | 4 (19.0) | 22 (5.9) |
| Cephalexin | Access | 4 (28.6) | 10 (71.4) | 14 (3.7) |
| Chloramphenicol | Access | 0 (0.0) | 14 (100) | 14 (3.7) |
| Flucloxacillin | Access | 6 (66.7) | 3 (33.3) | 9 (2.4) |
| Cefixime | Watch | 2 (28.6) | 5 (71.4) | 7 (1.9) |
| Ciprofloxacin | Watch | 0 (0.0) | 4 (100) | 4 (1.1) |
| Nitrofurantoin | Access | 4 (100) | 0 (0.0) | 4 (1.1) |
| Doxycycline | Access | 0 (0.0) | 3 (100) | 3 (0.8) |
| Fucidin | Watch | 0 (0.0) | 3 (100) | 3 (0.8) |
| Amoxycillin | Access | 2 (100) | 0 (0.0) | 2 (0.5) |
| Cefpodoxime | Watch | 2 (100) | 0 (0.0) | 2 (0.5) |
| Erythromycin | Watch | 0 (0.0) | 2 (100) | 2 (0.5) |
| Fosfomycin | Watch | 2 (100) | 0 (0.0) | 2 (0.5) |
| Clarithromycin | Watch | 1 (100) | 0 (0.0) | 1 (0.3) |
| Metronidazole gel | NA | 1 (100) | 0 (0.0) | 1 (0.3) |
| Total | 66 (17.6) | 311 (82.7) | 377 | |
| Indication/Condition | Number (%) of Antibiotics Dispensed | ||
|---|---|---|---|
| With a Prescription * | Without a Prescription * | Total ** | |
| Sexually transmitted infections | 1 (0.4) | 225 (99.6) | 226 (60.1) |
| Skin and soft tissue infection | 9 (14.3) | 54 (85.7) | 63 (16.8) |
| Vaginal thrush | 0 (0.0) | 13 (100.0) | 13 (13.5) |
| Upper respiratory tract infection | 39 (92.9) | 3 (7.1) | 42 (11.2) |
| Urinary tract infection | 9 (64.3) | 5 (35.7) | 14 (3.7) |
| Diarrhoea | 0 (0.0) | 8 (100) | 8 (2.1) |
| Toothache | 2 (50.0) | 2 (50.0) | 4 (1.1) |
| H. pylori | 3 (100.0) | 0 (0.0) | 3 (0.8) |
| Dental infections | 2 (100.0) | 0 (0.0) | 2 (0.5) |
| Eye infection | 0 (0.0) | 1 (100.0) | 1 (0.3) |
| Total | 65 (17.3) | 311 (82.7) | 377 |
| Reason for Choosing the Pharmacy | Number (%) of Patients | ||
|---|---|---|---|
| Received Medicines, Including Antibiotics, on Prescription or OTC * | Received an Antibiotic Without a Prescription * | Total ** | |
| Convenience | 106 (71.6) | 42 (28.4) | 148 (31.8) |
| Familiar with staff | 4 (3.5) | 111 (96.5) | 115 (24.7) |
| Easy parking | 60 (88.2) | 8 (11.8) | 68 (14.6) |
| No strict policy | 22 (45.8) | 26 (54.2) | 48 (10.3) |
| Affordability | 27 (96.4) | 1 (3.6) | 28 (6.0) |
| Accessibility | 20 (90.9) | 2 (9.1) | 22 (4.7) |
| Customer service | 13 (68.4) | 6 (31.6) | 19 (4.1) |
| Friendly staff | 7 (70.0) | 3 (30.0) | 10 (2.2) |
| Medicine availability | 6 (100) | 0 (0.0) | 6 (1.3) |
| Trust and reputation | 1 (100) | 0 (0.0) | 1 (0.2) |
| Total number of patients | 266 | 199 | 465 |
| Reason | Number (%) of Patients |
|---|---|
| Used the same antibiotic(s) before | 113 (56.8) |
| Long waiting times | 31 (15.6) |
| No money to consult with a medical practitioner | 12 (6.0) |
| No medicines at the clinic (needed to purchase at pharmacy) | 11 (5.5) |
| The pharmacist recommended them | 9 (4.5) |
| Cheap or affordable | 7 (3.5) |
| The patient insisted on an antibiotic | 6 (3.0) |
| Potential reasons listed are not applicable | 5 (2.5) |
| Clinic too far | 3 (1.5) |
| No medical practitioner around | 2 (1.0) |
| Total | 199 |
| Stakeholder Group | Recommendations |
|---|---|
| National and Provincial Health Authorities |
|
| District Health Management Teams |
|
| Public Healthcare Clinics |
|
| Pharmacists and Pharmacy Assistants |
|
| Patients and Communities |
|
| Universities and Training Institutions |
|
| Pharmacy Category | Pharmacy Category Description | Number * (%) of Pharmacies | Proportional Targeted Number (%) of Patients for Recruitment |
|---|---|---|---|
| Chain pharmacies | Owned by corporate entities, such as Clicks and Dischem. These operate under centralised systems and branding. | 38 (14.0%) | 59 (14.0%) |
| Franchise pharmacies | Independently owned by franchisees but operating under a common brand name. Examples include Link and The Local Choice. | 71 (26.1%) | 110 (26.2%) |
| Independent pharmacies | Standalone entities with no corporate or franchise affiliations. These vary in size, clientele, and business models. | 163 (59.9%) | 251 (59.8%) |
| Total | 272 | 420 | |
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Maluleke, T.M.; Maluleke, M.T.; Ramdas, N.; Jelić, A.G.; Kurdi, A.; Chigome, A.; Campbell, S.M.; Marković-Peković, V.; Schellack, N.; Godman, B.; et al. Prevalence and Associated Factors for Purchasing Antibiotics Without a Prescription Among Patients in Rural South Africa: Implications for Addressing Antimicrobial Resistance. Antibiotics 2025, 14, 1273. https://doi.org/10.3390/antibiotics14121273
Maluleke TM, Maluleke MT, Ramdas N, Jelić AG, Kurdi A, Chigome A, Campbell SM, Marković-Peković V, Schellack N, Godman B, et al. Prevalence and Associated Factors for Purchasing Antibiotics Without a Prescription Among Patients in Rural South Africa: Implications for Addressing Antimicrobial Resistance. Antibiotics. 2025; 14(12):1273. https://doi.org/10.3390/antibiotics14121273
Chicago/Turabian StyleMaluleke, Tiyani Milta, Morgan Tiyiselani Maluleke, Nishana Ramdas, Ana Golić Jelić, Amanj Kurdi, Audrey Chigome, Stephen M. Campbell, Vanda Marković-Peković, Natalie Schellack, Brian Godman, and et al. 2025. "Prevalence and Associated Factors for Purchasing Antibiotics Without a Prescription Among Patients in Rural South Africa: Implications for Addressing Antimicrobial Resistance" Antibiotics 14, no. 12: 1273. https://doi.org/10.3390/antibiotics14121273
APA StyleMaluleke, T. M., Maluleke, M. T., Ramdas, N., Jelić, A. G., Kurdi, A., Chigome, A., Campbell, S. M., Marković-Peković, V., Schellack, N., Godman, B., & Meyer, J. C. (2025). Prevalence and Associated Factors for Purchasing Antibiotics Without a Prescription Among Patients in Rural South Africa: Implications for Addressing Antimicrobial Resistance. Antibiotics, 14(12), 1273. https://doi.org/10.3390/antibiotics14121273

