| Literature DB >> 34071619 |
Shukry Zawahir1,2, Sarath Lekamwasam3, Parisa Aslani2.
Abstract
Inappropriate antibiotic use is a problem in Sri Lanka. We investigated pharmacy staff's attitudes towards antibiotic supply for common infections in Sri Lanka. A self-reported cross-sectional survey was conducted among a random sample (n = 369) of pharmacies. We assessed staff's beliefs and attitudes to antibiotic supplying for common infections (common cold and cough, sore throat, diarrhoea, wound and urinary tract infections (UTI)). Pharmacists (n = 210; 79%) and pharmacy assistants (n = 55: 21%) responded. About 30% (80/265) had supplied antibiotics without a prescription for common infections, including common cold (15.8%), sore throat (13.6%) and diarrhoea (10.2%). Overall, pharmacists were less likely to supply than non-pharmacists. Pharmacy staff with more positive beliefs about their professional competency to supply and monitor antibiotic use were more likely to supply antibiotics without a prescription for common cold (Adj.OR = 1.08; 95% CI: 1.01-1.15; p = 0.032), wound infections (Adj. OR = 1.06; 95% CI: 1.00-1.13; p = 0.059), and UTI (Adj.OR = 1.07; 95% CI: 0.99-1.15; p = 0.097). Pharmacy staff who believed in the effectiveness of antibiotics against common infections were more likely to supply antibiotics for common infections. Supply of antibiotics without a prescription was associated with staff's beliefs about antibiotics' effectiveness and their professional competency. Our findings could be used to strengthen regulatory strategies to improve practice.Entities:
Keywords: Sri Lanka; antibiotics; attitudes; common infections; dispensing; pharmacist; pharmacy
Year: 2021 PMID: 34071619 PMCID: PMC8227992 DOI: 10.3390/antibiotics10060647
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Socio-demographic and professional characteristics.
| Characteristics | Frequency (%) | |||
|---|---|---|---|---|
| Overall | Pharmacists | Pharmacy | χ2 | |
| Assistants | ||||
| Gender | 0.931 | |||
| Male | 172 (64.9) | 137 (65.2) | 35 (63.6) | |
| Female | 91 (34.3) | 73 (34.8) | 18 (32.7) | |
| Missing data | 2 (0.8) | 0 | 2 (3.6) | |
| Age groups (Years) | 0.913 | |||
| 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) | |
| Missing data | 4 (1.5) | 1 (0.5) | 3 (5.5) | |
| Geographical area | 0.353 | |||
| Urban | 189 (71.3) | 147 (70.0) | 42 (76.4) | |
| Rural | 76 (28.7) | 63 (30.0) | 13 (23.6) | |
| Level of Pharmacy Education | N/A | |||
| Proficiency a | 65 (24.5) | 65 (31.0) | N/A | |
| Efficiency b | 140 (52.8) | 140 (66.7) | N/A | |
| Degree c | 5 (1.9) | 5 (2.4) | N/A | |
| Pharmacy trainee d | 11 (4.2) | N/A | 11 (20.0) | |
| No pharmacy education | 40 (15.0) | N/A | 40 (71.7) | |
| Missing data | 4 (1.5) | 0 | 4 (7.3) | |
| Years of work experience in the community pharmacy | <0.001 | |||
| ≤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) | |
| Missing data | 5 (1.9) | 3 (1.4) | 2 (3.6) | |
| Employment type | 0.332 | |||
| Owner (pharmacist or non-pharmacists) | 101 (38.1) | 84 (40.0) | 17 (30.9) | |
| Employee | 161 (60.8) | 126 (60.0) | 35 (63.6) | |
| Missing data | 3 (1.1) | 0 | 3 (5.5) | |
| Employment status | 0.823 | |||
| Full time | 219 (82.6) | 175 (83.3) | 44 (80.0) | |
| Part time | 43 (16.2) | 35 (16.7) | 8 (14.5) | |
| Missing data | 3 (1.1) | 0 | 3 (5.5) | |
| Type of pharmacy | 0.214 | |||
| 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) | |
| Total number of registered pharmacists working in the pharmacy | 0.651 | |||
| 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) | |
| Missing data | 7 (2.6) | 3 (1.4) | 4 (7.3) | |
| Number of pharmacists at any given time | 0.53 | |||
| 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 | |
| Missing data | 25 (9.4) | 15 (7.1) | 10 (18.2) | |
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.
Exploratory factor analysis.
| Factors |
| Mean (SD) | Median (IQR) | Factor Loading | ||||
|---|---|---|---|---|---|---|---|---|
| Factor 1 | Factor 2 | Factor 3 | Factor 4 | Factor 5 | ||||
| Factor 1 Belief in professional competency to supply and monitor | ||||||||
| I have the ability to monitor appropriate use of antibiotics by patients | 261 | 1.8 (0.83) | 2 (1, 2) | 0.892 | ||||
| I have the ability to assess the patient’s need for antibiotics | 261 | 1.8 (0.79) | 2 (1, 2) | 0.877 | ||||
| I am well trained and have sufficient experience in dispensing antibiotics | 262 | 1.8 (0.8) | 2 (1, 2) | 0.872 | ||||
| I have the ability to monitor patients’ adherence to their antibiotic course | 261 | 1.8 (0.82) | 2 (1, 2) | 0.839 | ||||
| I have the ability to monitor patients for adverse drug reactions to antibiotics | 261 | 1.8 (0.76) | 2 (1, 2) | 0.799 | ||||
| I believe that antibiotics are safe medicines | 262 | 1.9 (0.86) | 2 (1, 2) | 0.791 | ||||
| I can properly consult patients on appropriate use of antibiotics | 261 | 2.1 (1.05) | 2 (1, 2) | 0.759 | ||||
| I know to prescribe antibiotics to the patients or refer them to doctor | 261 | 1.9 (0.98) | 2 (1, 2) | 0.739 | ||||
| I have a good knowledge of antibiotic therapy | 262 | 1.8 (0.8) | 2 (1, 2) | 0.697 | ||||
| I believe that antibiotics have no or few side effects | 263 | 1.8 (0.83) | 2 (1, 2) | 0.680 | ||||
| Factor 2 Belief in shared responsibility | ||||||||
| Policy makers | 256 | 4.2 (0.95) | 4 (4, 5) | 0.810 | ||||
| Patients | 256 | 3.9 (1.18) | 4 (4, 5) | 0.770 | ||||
| Pharmacists | 259 | 4.4 (0.77) | 5 (4, 5) | 0.699 | ||||
| Doctors | 259 | 4.5 (0.79) | 5 (4, 5) | 0.520 | ||||
| Factor 3: Beliefs in effectiveness of antibiotics | ||||||||
| Wound infections | 259 | 1.8 (0.98) | 2 (1, 2) | 0.843 | ||||
| Common cold and cough | 260 | 4.3 (0.85) | 2 (1, 2) | 0.834 | ||||
| Diarrhoea | 259 | 4.3 (0.85) | 2 (1, 2) | 0.824 | ||||
| Acute sore throat | 259 | 4.3 (0.82) | 2 (2, 2) | 0.807 | ||||
| Fever | 262 | 4.5 (0.66) | 1 (1, 2) | 0.781 | ||||
| UTI | 259 | 1.6 (0.76) | 1 (1, 2) | 0.731 | ||||
| Factor 4 Access and availability | ||||||||
| Antibiotic should be dispensed without a prescription if I know that patient does not have enough time to see a doctor | 262 | 1.7 (0.80) | 2 (1, 2) | 0.770 | ||||
| Patients have right to obtain antibiotics from a pharmacy without a prescription, if they can’t see a doctor | 263 | 1.9 (0.97) | 2 (1, 2) | 0.702 | ||||
| Antibiotic should be dispensed without a prescription if I know that patient does not have enough money to see a doctor | 262 | 1.8 (0.82) | 2 (1, 2) | 0.546 | ||||
| I believe antibiotic can cure all bacterial infections, therefore I can dispense antibiotics for bacterial infections without a prescription | 263 | 1.6 (0.81) | 2 (2, 2) | 0.475 | ||||
| I should dispense antibiotics without a prescription, because in my opinion, antibiotic use has nothing to do with antibiotic resistance | 262 | 1.5 (0.7) | 1 (1,2) | 0.446 | ||||
| Antimicrobial education taught during pharmacy training program is sufficient to allow me to dispense antibiotics without a prescription | 261 | 2.2 (1.1) | 2 (1,3) | 0.353 | ||||
| Pharmacists should be encouraged to dispense antibiotics without a prescription in order to meet patients’ demand. | 262 | 1.7 (0.98) | 1 (1, 2) | 0.312 | ||||
| Factor 5 Attitudes towards appropriate and legal supply and use | ||||||||
| Dispensing antibiotics without a prescription should be more closely controlled by the authorities | 261 | 4.1 (1.02) | 4 (4, 5) | 0.628 | ||||
| Patient should stop misusing antibiotics to minimise the occurrence of antibiotic resistance | 262 | 4.4 (0.91) | 5 (4, 5) | 0.611 | ||||
| Patients should stop demanding antibiotics without a prescription from pharmacies | 262 | 4.2 (0.95) | 4 (4, 5) | 0.465 | ||||
| I believe that as a pharmacist, I have the right to contribute towards the appropriate use of antibiotic in Sri Lanka | 260 | 4.4 (0.89) | 5 (4, 5) | 0.444 | ||||
| Appropriate use of antibiotics would help to decrease resistance; therefore, I should not dispense antibiotics without a prescription. | 262 | 4.2 (1.1) | 4 (4,5) | 0.371 | ||||
| Reliability Cronbach’s alpha | 0.951 | 0.827 | 0.920 | 0.763 | 0.701 | |||
Note: Only the absolute values > 0.30 are reported in the table. Four items were excluded, because they were not loaded in the model (S1, S10, S18, S25). Seven items were excluded due to poor factor loading was (<0.3). All Factors had scale range between 1 = ‘strongly disagree’ and 5 = ‘strongly agree’. Factor 1, Professional competency to supply and monitor: pharmacy staff’s beliefs about their professional competency (e.g., due to their pharmacy training, knowledge, patient counselling ability and experiences) to supply antibiotics without a prescription and monitor people’s use of antibiotics (e.g., monitor side effects) without a prescription. Factor 2, Shared responsibility: staff’s beliefs that promoting appropriate use of antibiotics is a shared responsibility of various stakeholders including, policy makers, patients, pharmacists and doctors. Factor 3, Beliefs about effectiveness of antibiotics: beliefs about the effectiveness of antibiotics against conditions, such as wound infections, common cold and cough, diarrhoea, acute sore throat, fever and UTI. Factor 4, Access and availability: Pharmacy staff’s opinions about the ability of people to easily access and receive antibiotics without a prescription from pharmacies to meet their needs if they do not have enough money or time to see a doctor. And beliefs that antibiotics cure all bacterial infections, ABR is not a problem, and they were sufficiently trained on antibiotics in their pharmacy training. Factor 5, Appropriate and legal supply and use: participants’ attitudes towards antibiotics supply control strategies and included beliefs that antibiotic supply without a prescription should be controlled by authorities, and that patients’ demands and misuse of antibiotics and pharmacists’ contribution towards appropriate use of antibiotics should be stopped.
Weighted factor-based scale statistics.
| Factors | Range of the Weighted Scale | Mid-Point for the Weighted Scale | Mean (SD) | Median (IQR) | Kurtosis Value | Skewness |
|---|---|---|---|---|---|---|
| Factor 1: Professional competency to supply and monitor | 7.9–31.8 | 19.8 | 14.7 (5.7) | 15.9 (8.6, 16.6) | 0.62 | 0.77 |
| Factor 2: Shared responsibility | 2.8–14.0 | 8.4 | 11.8 (2.1) | 11.7 (11.2, 14.0) | 2.34 | −1.22 |
| Factor 3: Beliefs in effectiveness of antibiotics | 4.8–24.1 | 14.4 | 8.0 (3.4) | 8.1 (4.8, 9.6) | 1.98 | 1.16 |
| Factor 4: Access and availability | 2.5–12.6 | 7.5 | 10.7 (1.7) | 11.0 (10.1, 12.0) | 4.08 | −1.58 |
| Factor 5: Appropriate and legal supply and use | 2.5–12.6 | 7.5 | 10.7 (1.7) | 11.0 (10.1, 12.0) | 4.08 | −1.58 |
Factors related to antibiotic supply for different infections.
| Conditions for Which Antibiotics Supplied without a Prescription Last Week. Adj.OR (95% CI) | ||||||
|---|---|---|---|---|---|---|
| Predictors | Acute Sore Throat | Common Cold and Cough | Wound Infection | UTI | Diarrhoea | Overall Supply |
| Antibiotic supply without prescription in the last week | ||||||
| Never dispensed | 217 (81.9) a | 214 (80.8) a | 199 (75.1) a | 231 (87.2) a | 227 (85.7) a | 179 (67.5) a |
| Dispensed | 36 (13.6) a | 42 (15.8) a | 56 (21.1) a | 23 (8.7) a | 27 (10.2) a | 80 (30.2) a |
| Missing data | 12 (4.6) a | 9 (3.4) a | 10 (3.8) a | 11 (4.2) a | 11 (4.2) a | 6 (2.3) a |
| Factor 1: Professional competency to supply and monitor | 1.08(1.01–1.15) * | 1.06 (1.00–1.13) NS | 1.07 (0.99–1.15) NS | 1.12 (1.05–1.19) ** | ||
| Factor 2: Shared responsibility | 0.80 (0.67–0.96) * | |||||
| Factor 3: Beliefs about effectiveness of antibiotics | 1.2 (1.08–1.34) ** | 1.15 (1.03–1.28) * | 1.15 (1.05–1.28) ** | 1.13 (0.99–1.27) NS | - | 1.11 (1.01–1.22) * |
| Pharmacy education | ||||||
| Non-Pharmacists | 1 | 1 | 1 | 1 | ||
| Pharmacist | 0.33 (0.13–0.80) * | 0.31 (0.13–0.72) ** | 0.36 (0.14–0.97) * | 0.48 (0.21–1.08) NS | ||
| Age | - | - | - | 0.95 (0.92–0.98) ** | ||
a Frequency (%). NS Not significant; Significant at * <0.05; ** <0.01. Other predictors adjusted in the model: Knowledge about: effectiveness of antibiotics for minor infections, what is an antibiotic, adverse effects of antibiotics and ABR. Attitudes: Supply or access, Supply control. Socio-demographic characteristics: gender, geographical area, employment type, employment status, type of pharmacy, number of pharmacy assistants work at a time, number of pharmacists work at a time and years of work experience in the community pharmacy setting.