| Literature DB >> 33790584 |
Usman Rashid Malik1,2,3, Jie Chang1,2,3, Furqan Hashmi4, Naveel Atif1,2,3, Hareem Basir5, Khezar Hayat1,2,3,6, Faiz Ullah Khan1,2,3, John Alimamy Kabba1,2,3, Krizzia Lambojon1,2,3, Yu Fang1,2,3.
Abstract
INTRODUCTION: The excessive consumption of antibiotics is a significant contributor to antimicrobial resistance, especially in children. Children are often advised antibiotics for viral infections. In developing countries, drugstores are a prime source of easy access to nonprescription antibiotics. Moreover, in Pakistan, their irrational use is an "everyday routine". The study, therefore, aimed to evaluate the dispensing of nonprescription antibiotics to children.Entities:
Keywords: Pakistan; antibiotics; community pharmacies; drugstores; nonprescription; simulated client
Year: 2021 PMID: 33790584 PMCID: PMC7997541 DOI: 10.2147/IDR.S301812
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Characteristics and Practices of Visited Drugstores (Total Simulated Visits N=773)
| Characteristics | Frequency (%) |
|---|---|
| Yes | 164 (21.2) |
| No | 609 (78.8) |
| Male | 745 (96.4) |
| Female | 28 (3.6) |
| Less than 30 years | 301 (38.9) |
| 30–50 years | 433 (56.0) |
| More than 50 years | 39 (5.1) |
| Yes | 456 (59.0) |
| No | 317 (41.0) |
| Yes | 456 (59.0) |
| No | 317 (41.0) |
| Must be dispensed with prescription | 143 (45.1) |
| No need to use antibiotics | 124 (39.1) |
| Indications not clear and needs a referral | 50 (15.8) |
| Demand Level 1 | 425 (93.2) |
| Demand Level 2 | 31 (6.8) |
| Yes | 130 (16.8) |
| No | 643 (83.2) |
| Yes | 156 (20.2) |
| No | 617 (79.8) |
| Yes | 307 (39.7) |
| No | 466 (60.3) |
Factors Associated with Dispensing of Antibiotics without Prescription
| Characteristics | Total | Nonprescription Antibiotic Dispensing | Multiple Logistic Regression | |||
|---|---|---|---|---|---|---|
| (N=773) | Yes (N=456) | No (N=317) | p-value | OR | 95% CI | |
| N (%) | n (%) | n (%) | ||||
| Less than 30 years | 301 (38.9) | 166 (55.1) | 135 (44.9) | Ref | ||
| 30–50 years | 433 (56) | 262 (60.5) | 171 (39.5) | 0.160 | 1.266 | 0.911–1.760 |
| More than 50 years | 39 (5.1) | 28 (71.8) | 11 (28.2) | 0.190 | 1.695 | 0.770–3.728 |
| Male | 745 (96.4) | 445 (59.7) | 300 (40.3) | Ref | ||
| Female | 28 (3.6) | 11 (39.3) | 17 (60.7) | 0.774 | 0.881 | 0.371–2.092 |
| Yes | 164 (21.2) | 78 (47.6) | 86 (52.4) | Ref | ||
| No | 609 (78.8) | 378 (62.1) | 231 (37.9) | 0.367 | 1.263 | 0.761–2.096 |
| Larger | 80 (10.4) | 39 (48.8) | 41 (51.2) | Ref | ||
| Medium | 495 (64) | 305 (61.6) | 190 (38.4) | 0.844 | 1.059 | 0.600–1.868 |
| Small | 198 (25.6) | 112 (56.6) | 86 (43.4) | 0.406 | 0.762 | 0.402–1.446 |
| Pharmacy | 326 (42.2) | 171 (52.5) | 155 (47.5) | Ref | ||
| Medical Store | 447 (57.8) | 285 (63.8) | 162 (36.2) | 0.071 | 1.452 | 0.969–2.176 |
| Independent | 720 (93.1) | 428 (59.4) | 292 (40.6) | Ref | ||
| Chain | 53 (6.9) | 28 (52.8) | 25 (47.2) | 0.848 | 0.935 | 0.471–1.857 |
| Pediatric acute diarrhea | 386 (49.9) | 259 (67.1) | 127 (32.9) | Ref | ||
| Pediatric acute URTI | 387 (50.1) | 197 (50.9) | 190 (49.1) | <0.001 | 0.468 | 0.344–0.636 |
| Cantonment Area | 74 (9.6) | 29 (39.2) | 45 (60.8) | Ref | ||
| Nishtar Town | 100 (12.9) | 72 (72.0) | 28 (28.0) | <0.001 | 3.397 | 1.718–6.718 |
| Shalimar Town | 70 (9.1) | 37 (52.9) | 33 (47.1) | 0.208 | 1.580 | 0.775–3.220 |
| Wahga Town | 45 (5.8) | 24 (53.3) | 21 (46.7) | 0.185 | 1.695 | 0.777–3.695 |
| Ravi Town | 67 (8.7) | 42 (62.7) | 25 (37.3) | 0.019 | 2.342 | 1.153–4.758 |
| Samanabad Town | 76 (9.8) | 54 (71.1) | 22 (28.9) | <0.001 | 4.213 | 1.998–8.880 |
| Gulberg Town | 44 (5.7) | 35 (79.5) | 9 (20.5) | <0.001 | 6.457 | 2.577–16.178 |
| Allama Iqbal Town | 175 (22.6) | 103 (58.9) | 72 (41.1) | 0.005 | 2.274 | 1.274–4.058 |
| Data Ganj Baksh Town | 76 (9.8) | 32 (42.1) | 44 (57.9) | 0.847 | 1.070 | 0.539–2.125 |
| Aziz Bhatti Town | 46 (6.0) | 28 (60.9) | 18 (39.1) | 0.048 | 2.239 | 1.009–4.971 |
Abbreviations: OR, odds ratio; CI, confidence interval.
Figure 1Staff response for simulated visits in which antibiotics were dispensed (n=456).
Figure 2Antibiotics dispensed at drugstores for simulated disease scenarios (N=518, two antibiotics were dispensed at one time in 62 simulated visits).
Differences in Practices of Drugstores for Each Disease Scenario Presented
| Characteristics | Disease Scenario Presented | p-value | |
|---|---|---|---|
| Pediatric Diarrhea (N=386) | Pediatric URTI (N=387) | ||
| Frequency (%) | Frequency (%) | ||
| 0.793 | |||
| Yes | 230 (59.6) | 226 (58.4) | |
| No | 156 (40.4) | 161 (41.6) | |
| <0.001 | |||
| Yes | 259 (67.1) | 197 (50.9) | |
| No | 127 (32.9) | 190 (49.1) | |
| <0.001 | |||
| One | 204 (78.8) | 190 (96.4) | |
| Two | 55 (21.2) | 7 (3.6) | |
| 0.066 | |||
| Demand Level 1 | 236 (91.1) | 189 (95.9) | |
| Demand Level 2 | 23 (8.9) | 8 (4.1) | |
| 0.642 | |||
| Yes | 62 (16.1) | 68 (17.6) | |
| No | 324 (83.9) | 319 (82.4) | |
| 0.251 | |||
| Yes | 71 (18.4) | 85 (22.0) | |
| No | 315 (81.6) | 302 (78.0) | |
| 0.003 | |||
| Yes | 174 (45.1) | 133 (34.4) | |
| No | 212 (54.9) | 254 (65.6) | |
Differences in Practices Between the Drugstores Supervised by Pharmacist and without Pharmacist
| Characteristics | Licensed Pharmacist on Duty | p-value | |
|---|---|---|---|
| Yes (N=164 Visits) | No (N=609 Visits) | ||
| n (%) | n (%) | ||
| <0.001 | |||
| Yes | 138 (84.1) | 318 (52.2) | |
| No | 26 (15.9) | 291 (47.8) | |
| 0.001 | |||
| Yes | 78 (47.6) | 378 (62.1) | |
| No | 86 (52.4) | 231 (37.9) | |
| 0.278 | |||
| Demand Level 1 | 70 (89.7) | 355 (93.9) | |
| Demand Level 2 | 8 (10.3) | 23 (6.1) | |
| <0.001 | |||
| Yes | 79 (48.2) | 152 (25) | |
| No | 85 (51.8) | 457 (75) | |
| 0.007 | |||
| Yes | 71 (43.3) | 193 (31.7) | |
| No | 93 (56.7) | 416 (68.3) | |
| 0.06 | |||
| Yes | 11 (6.7) | 19 (3.1) | |
| No | 153 (93.3) | 580 (96.9) | |
| <0.001 | |||
| Yes | 51 (31.1) | 79 (13.0) | |
| No | 113 (68.9) | 530 (87.0) | |
| <0.001 | |||
| Yes | 65 (39.6) | 91 (14.9) | |
| No | 99 (60.4) | 518 (85.1) | |
| 0.001 | |||
| Yes | 84 (51.2) | 223 (36.6) | |
| No | 80 (48.8) | 386 (63.4) | |
Differences in Characteristics and Practices of Different Categories of Drugstores
| Characteristics | Drugstore Category | p-value | |
|---|---|---|---|
| Pharmacy (N=326 Visits) | Medical Store (N=447 Visits) | ||
| n (%) | n (%) | ||
| <0.001 | |||
| Male | 301 (92.3) | 444 (99.3) | |
| Female | 25 (7.7) | 3 (0.7) | |
| <0.001 | |||
| Less than 30 years | 170 (52.1) | 131 (29.3) | |
| 30–50 years | 146 (44.8) | 287 (64.2) | |
| More than 50 years | 10 (3.1) | 29 (6.5) | |
| <0.001 | |||
| Yes | 230 (70.6) | 226 (50.6) | |
| No | 96 (29.4) | 221 (49.4) | |
| 0.002 | |||
| Yes | 171 (52.5) | 285 (63.8) | |
| No | 155 (47.5) | 162 (36.2) | |
| 0.269 | |||
| Demand Level 1 | 156 (91.2) | 269 (94.4) | |
| Demand Level 2 | 15 (8.8) | 16 (5.6) | |
| <0.001 | |||
| Yes | 75 (23) | 55 (12.3) | |
| No | 251 (77) | 392 (87.7) | |
| <0.001 | |||
| Yes | 91 (27.9) | 65 (14.5) | |
| No | 235 (72.1) | 382 (85.5) | |
| 0.136 | |||
| Yes | 140 (42.9) | 167 (37.4) | |
| No | 186 (57.1) | 280 (62.6) | |