| Literature DB >> 31022197 |
Shukry Zawahir1, Sarath Lekamwasam2, Parisa Aslani1.
Abstract
BACKGROUND: Pharmacists' knowledge about the clinical and legal aspects of antibiotic supply has an impact on appropriate dispensing practice. There are limited studies evaluating community pharmacists' knowledge of antibiotic dispensing in low and middle-income countries, including Sri Lanka. We aimed (i) to evaluate community pharmacy staff's self-reported knowledge about antibiotics and dispensing behaviour of antibiotics without a prescription, and (ii) to identify possible factors impacting their antibiotic dispensing behaviour.Entities:
Mesh:
Substances:
Year: 2019 PMID: 31022197 PMCID: PMC6483176 DOI: 10.1371/journal.pone.0215484
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic and professional characteristics.
| Characteristics | Frequency (%) | |||
|---|---|---|---|---|
| Overall | Pharmacists | Pharmacy assistants n = 55 | χ2
| |
| .931 | ||||
| Male | 172 (64.9) | 137 (65.2) | 35 (63.6) | |
| Female | 91 (34.3) | 73 (34.8) | 18 (32.7) | |
| MD | 2 (0.8) | 0 | 2 (3.6) | |
| .913 | ||||
| 20–29 | 43 (16.2) | 31 (14.8) | 12 (21.8) | |
| 30–39 | 103 (38.9) | 85 (40.5) | 18 (32.7) | |
| 40–49 | 65 (24.5) | 50 (23.8) | 15 (27.3) | |
| ≥50 | 50 (18.9) | 43 (20.5) | 7 (12.7) | |
| MD | 4 (1.5) | 1 (0.5) | 3 (5.5) | |
| .353 | ||||
| Urban | 189 (71.3) | 147 (70.0) | 42 (76.4) | |
| Rural | 76 (28.7) | 63 (30.0) | 13 (23.6) | |
| N/A | ||||
| Proficiency | 65 (24.5) | 65 (31.0) | N/A | |
| Efficiency | 140 (52.8) | 140 (66.7) | N/A | |
| Degree | 5 (1.9) | 5 (2.4) | N/A | |
| Pharmacy trainee | 11 (4.2) | N/A | 11 (20.0) | |
| No pharmacy education | 40 (15.0) | N/A | 40 (71.7) | |
| MD | 4 (1.5) | 0 | 4 (7.3) | |
| < .001 | ||||
| ≤1 | 21 (7.9) | 8 (3.8) | 13 (23.6) | |
| 2–3 | 27 (10.2) | 25 (11.9) | 2 (3.6) | |
| 4–5 | 34 (12.8) | 30 (14.3) | 4 (7.3) | |
| >5 | 178 (67.2) | 144 (68.6) | 34 (61.8) | |
| MD | 5 (1.9) | 3 (1.4) | 2 (3.6) | |
| .332 | ||||
| Owner (pharmacist or non-pharmacists) | 101 (38.1) | 84 (40.0) | 17 (30.9) | |
| Employee | 161 (60.8) | 126 (60.0) | 35 (63.6) | |
| MD | 3 (1.1) | 0 | 3 (5.5) | |
| .823 | ||||
| Full time | 219 (82.6) | 175 (83.3) | 44 (80.0) | |
| Part time | 43 (16.2) | 35 (16.7) | 8 (14.5) | |
| MD | 3 (1.1) | 0 | 3 (5.5) | |
| .214 | ||||
| Rajya Osusala (Semi Government) | 20 (7.5) | 18 (8.6) | 2 (3.6) | |
| Private chain pharmacy | 116 (43.8) | 88 (41.9) | 28 (50.9) | |
| Single private pharmacy | 118 (44.5) | 97 (46.2) | 21 (38.2) | |
| Pharmacies in Private hospitals | 11 (4.2) | 7 (3.3) | 4 (7.3) | |
| .651 | ||||
| None | 7 (2.6) | 5 (2.4) | 2 (3.6) | |
| 1 | 179 (67.5) | 143 (68.1) | 36 (65.5) | |
| ≥2 | 72 (27.3) | 59 (27.3) | 13 (23.6) | |
| MD | 7 (2.6) | 3 (1.4) | 4 (7.3) | |
| .530 | ||||
| 0 | 7 (2.6) | 4 (1.9) | 3 (5.5) | |
| 1 | 195 (73.6) | 158 (75.2) | 37 (67.3) | |
| 2 | 23 (8.7) | 18 (8.6) | 5 (9.1) | |
| >2 | 15 (5.8) | 15 (7.3) | 0 | |
| MD | 25 (9.4) | 15 (7.1) | 10 (18.2) | |
MD–Missing data; N/A–Not applicable
a Pharmacists with two years certificate or diploma qualification including 6 months hospital training
b Pharmacists with an apprentice training program under a trained pharmacist’s supervision
c Pharmacists with B.Pharm or BSc pharmacy qualification
d Individual registered for apprentice pharmacy program and undergoing in the training program
Knowledge scores of pharmacy staff.
| All the Respondents | Pharmacy assistants | Pharmacists | t-test | |
|---|---|---|---|---|
| Overall knowledge (n = 265) | 26.07 (3.86) | 24.96 (3.86) | 26.36 (3.82) | .017 |
| Knowledge about Antibiotic (n = 263) | 1.89 (.69) | 1.87 (.64) | 1.90 (.70) | .801 |
| Knowledge about ABR (n = 264) | 9.17 (1.67) | 8.64 (1.97) | 9.32 (1.56) | .021 |
| Knowledge about antibiotic use/ misuse (n = 264) | 10.42 (2.06) | 10.05 (2.10) | 10.51 (2.04) | .144 |
| Knowledge about legal aspect of antibiotic use (n = 265) | 0.003 | |||
| Low knowledge | 127 (49.90) | 36 (65.5) | 91 (43.3) | |
| High knowledge | 138 (52.10) | 19 (34.5) | 119 (56.70) |
a Proportion and percentage;
bChi-square test P value.
Self-reported antibiotic dispensing practice.
| Frequency (%), N = 265 | ||||
|---|---|---|---|---|
| All the Respondents | Non-Pharmacist | Pharmacist | χ2
| |
| 0.805 | ||||
| Never | 179 (67.5) | 36 (66.7) | 143 (68.4) | |
| Yes | 84 (31.7) | 18 (33.3) | 66 (31.6) | |
| MD | 2 (.8) | |||
| 0.055 | ||||
| Never | 147 (55.5) | 32 (59.3) | 115 (54.8) | |
| Yes | 117 (44.2) | 22 (40.7) | 95 (45.2) | |
| MD | 1 (.4) | |||
| 0.077 | ||||
| Never | 233 (87.9) | 51 (96.2) | 182 (87.9) | |
| Yes | 27 (10.2) | 2 (3.8) | 25 (12.1) | |
| MD | 5 (1.9) | |||
| 0.127 | ||||
| Never | 247 (93.2) | 53 (100) | 194 (94.6) | |
| Yes | 11 (4.2) | 0 | 11 (5.4) | |
| MD | 7 (2.6) | |||
| 0.640 | ||||
| Never | 216 (81.5) | 43 (79.6) | 173 (82.4) | |
| Yes | 48 (18.1) | 11 (20.4) | 37 (17.6) | |
| MD | 1 (.4) | |||
| 0.555a | ||||
| Never | 245 (92.5) | 49 (90.7) | 196 (93.3) | |
| Yes | 19 (7.2) | 5 (9.3) | 14 (6.7) | |
| MD | 1 (.4) | |||
| 0.040 | ||||
| Never (0%) | 217 (81.9) | 40 (76.9) | 177 (88.1) | |
| Yes | 36 (13.6) | 12 (23.1) | 24 (11.9) | |
| MD | 12 (4.5) | |||
| 0.050 | ||||
| Never (0%) | 214 (80.8) | 38 (74.5) | 176 (85.9) | |
| Yes | 42 (15.8) | 13 (25.5) | 29 (14.1) | |
| MD | 9 (3.4) | |||
| 0.940 | ||||
| Never (0%) | 199 (75.1) | 40 (78.4) | 159 (77.9) | |
| Yes | 56 (21.1) | 11 (21.6) | 45 (22.1) | |
| MD | 10 (3.8) | |||
| 1.000a | ||||
| Never (0%) | 231 (87.2) | 47 (92.2) | 184 (90.6) | |
| Yes | 23 (8.7) | 4 (7.8) | 19 (9.4) | |
| MD | 11 (4.2) | |||
| 0.190 | ||||
| Never (0%) | 227 (85.7) | 43 (84.3) | 184 (90.6) | |
| Yes | 27 (10.2) | 8 (15.7) | 19 (9.4) | |
| MD | 11 (4.2) | |||
| 0.753 | ||||
| Never (0%) | 179 (67.5) | 35 (67.3) | 144 (69.6) | |
| Yes | 80 (30.2) | 17 (32.7) | 63 (30.4) | |
| MD | 6 (2.3) | |||
MD–Missing data;
a Fisher’s exact test.
Impact of pharmacists’ knowledge and socio-demographic on antibiotic dispensing practice in general.
| Predictors | Dispensing antibiotic without a prescription Adj.OR (95% CI) | |||||
|---|---|---|---|---|---|---|
| On patient’s direct request | On known patient’s direct request | For adult with minor viral infection | For children with minor viral infections | For adult | For children with minor bacterial infections | |
| Knowledge about ABR | 1.12(.89, 1.40) | 1.24(.99, 1.53) | .73(.55, .96) | .55(.38, .80) | .92(.72, 1.18) | 1.00(.66 1.50) |
| Knowledge about antibiotic use/ misuse | 1.03(.78, 1.21) | .95(.82, 1.11) | 1.02(.82, 1.28) | 1.02(.73, 1.41) | .89(.73, 1.08) | .69(.49, .96) |
| Knowledge about legal aspect of antibiotic use | ||||||
| Low | 1 | 1 | 1 | 1 | 1 | 1 |
| High | .41(.21, .79) | .29 (.16, .55) | .80(.32, 2.01) | 1.81(.44, 7.44) | .45(.20, .99) | .37(.09, 1.47) |
| Age | .98(.94, 1.02) | .96(.92, .99) | .94(.88, 1.01) | 1.00(.92, 1.09) | .93 (.87, .98) | 1.08(1.01, 1.15) |
| Owner | 1 | 1 | 1 | 1 | 1 | 1 |
| Employee | .43 (.22, .85) | 1.08(.58, 2.04) | .70(.27, 1.82) | .88(.21, 3.75) | .69(.31, 1.57) | .41(.11, 1.54) |
p value:
***<0.001,
**<0.01,
*<0.05;
NS not significant.
Other predictors adjusted in the model: Knowledge about antibiotic, gender, geographical area, years of community pharmacy experience and employment status.
Impact of pharmacists’ knowledge and socio-demographic on dispensing antibiotic past week for minor infections.
| Predictors | Dispensing antibiotic without a prescription Adj. OR (95% CI) | ||||
|---|---|---|---|---|---|
| Acute sore throat | Common cold | Wound infections | UTI | Diarrhoea | |
| Knowledge about AB | .81(.43, 1.54) | 1.19(.65, 2.20) | .73(.44, 1.21) | .55(.26, 1.16) | .99(.47, 2.10) |
| Knowledge about ABR | .83(.61, 1.11) | 1.01(.78, 1.43) | 1.01(.79, 1.29) | 1.09(.75, 1.82) | .94(.66, 1.34) |
| Knowledge about antibiotic use/ misuse | .81(.64, 1.02) | .75(.60, .94) | .89(.74, 1.07) | .86(.66, 1.13) | .76(.58, .99) |
| Knowledge about legal aspect of antibiotic use | |||||
| Low | 1 | 1 | 1 | 1 | 1 |
| High | 1.23(.46, 3.33) | .94(.38, 2.29) | .63(.30, 1.32) | .49(.17, 1.45) | .93(.31, 2.81) |
| Age | .95(.89, 1.02) | .94(.88, 1.00) | .95(.90, 1.0) | .97(.91, 1.31) | .96(.89, 1.03) |
P value:
*<0.05;
NS not significant.
Other predictors adjusted in the model: gender, geographical area, years of community pharmacy experience, employment status and employment type.