| Literature DB >> 35203764 |
Rojjares Netthong1,2, Ros Kane3, Keivan Ahmadi4.
Abstract
Global action plans to tackle antimicrobial resistance (AMR) are the subject of ongoing discussion between experts. Community pharmacists have a professional responsibility to tackle AMR. This study aimed to evaluate the knowledge of antibiotic resistance and attitudes to promoting Antibiotic Smart Use (ASU) amongst part and full-time practicing community pharmacists across Thailand. An online mixed-method survey applying Appreciative Inquiry theory was validated and conducted in 2020. Non-probability sampling was used, with online survey dissemination via social networks. A total of 387 community pharmacists located in 59 out 77 provinces seemed knowledgeable about antimicrobial resistance (mean score = 82.69%) and had acceptable attitudes towards antibiotic prescribing practices and antimicrobial stewardship (mean score = 73.12%). Less than 13% of pharmacists had postgraduate degrees. Postgraduate education, training clerkship, preceptors, and antibiotic stewardship training positively affected their attitudes. The community pharmacists proposed solutions based on the Appreciative Inquiry theory to promote ASU practices. Among these were educational programmes consisting of professional conduct, social responsibility and business administration knowledge, up-to-date legislation, and substitutional strategies to compensate business income losses.Entities:
Keywords: Appreciative Inquiry; Thailand; antibiotic smart use programme; antibiotic stewardship; antimicrobial resistance; community pharmacist; mixed method survey
Year: 2022 PMID: 35203764 PMCID: PMC8868194 DOI: 10.3390/antibiotics11020161
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Socio-demographic characteristics of participants.
| Characteristics | N = 387 (%) |
|---|---|
|
| |
| Male | 131 (33.85) |
| Female | 256 (66.15) |
|
| |
| Less than 30 | 163 (42.12) |
| 30–39 | 162 (41.86) |
| 40–49 | 42 (10.85) |
| 50–59 | 13 (3.36) |
| 60 and above | 7 (1.81) |
|
| |
| Yes | 47 (12.14) |
| No | 340 (87.86) |
|
| |
| Central | 149 (38.50%) |
| Northeastern (Isan) | 117 (30.23%) |
| Eastern | 39 (10.08%) |
| Southern | 38 (9.82%) |
| Northern | 22 (5.68%) |
| Western | 5 (1.29%) |
Participants’ knowledge regarding antibiotic resistance.
| Statements | Those Who Chose the Right Answer | Those Who Chose the Wrong Answer |
|---|---|---|
| Dispensing antibiotics without a prescription is a legal practice in Thailand. | 93.80% ( | 6.20% ( |
| Dispensing antibiotics without a prescription is a common practice among community pharmacists in Thailand. | 96.38% ( | 3.62% ( |
| Dispensing antibiotics without a prescription is contributing to the development of antibiotic resistance. | 55.81% ( | 44.19% ( |
| Dispensing antibiotics without a prescription is contributing to the inappropriate use of antibiotics by patients. | 57.62% ( | 42.38% ( |
| Antibiotics are indicated to reduce any kind of pain and inflammation. | 3.36% ( | 96.64% ( |
| Antibiotics are useful for bacterial infections. | 97.93% ( | 2.07% ( |
| Antibiotics can cause secondary infections after killing the normal flora of the human body. | 93.54% ( | 6.46% ( |
| Superbugs are microorganisms which generate antimicrobial resistance. They include bacteria, fungal, viruses or parasites. | 71.32% ( | 28.68% ( |
| Resistance DNA in bacteria can transfer to other bacteria by a virus (bacteriophage). | 73.90% ( | 26.10% ( |
| The main objective of antibiotic stewardship is the achievement of the most effective clinical outcome with the least adverse reactions. | 89.92% ( | 10.08% ( |
Figure 1Graphical representation of participants’ Knowledge scores in the study (Powered by Bing ©GeoNames, Microsoft, TomTom).
Figure 2Graphical representation of participants’ Discovery phase scores in the study (Powered by Bing ©GeoNames, Microsoft, TomTom).
Participants’ attitude.
| Questions | Very Good | Good | Unsure | Poor | Very Poor |
|---|---|---|---|---|---|
| How do you rate the implementation of local guidelines such as Antibiotic Smart Use (ASU) by the Ministry of Health, before dispensing antibiotics? | 22.74% | 64.60% | 12.14% | 0.52% | 0% |
| How do you rate the clarity of the advice given to the patients about their dispensed antibiotics? | 35.65% | 61.76% | 2.58% | 0% | 0% |
| How do you rate the acknowledgment of the patients’ understanding of the advice given to them about their dispensed antibiotics? | 10.85% | 51.68% | 34.63% | 2.58% | 0.26% |
| How do you rate the answering of patients’ questions about their dispensed antibiotics? | 36.18% | 61.76% | 2.07% | 0% | 0% |
| How do you rate patients’ satisfaction with antibiotic dispensing? | 19.64% | 60.98% | 19.12% | 0.26% | 0% |
| How do you rate the patients’ knowledge about antibiotic stewardship before counseling? | 4.65% | 26.87% | 32.56% | 31.01% | 4.91% |
| How do you rate the Thai- FDA support to implement antibiotic stewardship in community pharmacy? | 4.39% | 34.89% | 45.74% | 12.40% | 2.58% |
| How do you rate engagement with antibiotic awareness campaigns? | 17.83% | 62.01% | 17.83% | 2.33% | 0% |
| How do you rate engagement with health promotion campaigns on prevention/reduction transmission of infection? | 17.05% | 59.17% | 20.16% | 3.10% | 0.52% |
| How do you rate collaboration (such as referral) with other healthcare professionals to implement antibiotic stewardship? | 27.91% | 54.01% | 15.50% | 2.33% | 0.26% |
| How do you rate the relationship between clients/patients and pharmacists in regards with antibiotic stewardship? | 15.76% | 68.48% | 13.95% | 1.81% | 0% |
Bivariate analysis of Attitude with socio-demographic factors such as age, gender and postgraduate education.
| Variables | Attitude | |||
|---|---|---|---|---|
| β 1 | SE 2 | 95% CI 3 | ||
| Age | 0.34 | 0.57 | 0.78–1.46 | 0.5550 |
| Male | −2.37 | 1.07 | −4.46–−0.28 | 0.0265 * |
| Postgraduate education | 5.16 | 1.50 | 2.21–8.11 | 0.000664 ** |
1—Parameter estimate coefficient, 2—[Robust] Standard Error, 3—Confidence interval, * p < 0.05, ** p < 0.01.
Bivariate analysis of Attitude with antibiotic stewardship training factors.
| Variables | N = 387 (%) | Attitude | ||||
|---|---|---|---|---|---|---|
| β 1 | SE 2 | 95% CI 3 | ||||
| Knowledge | Mean = 82.96 | −0.01 | 0.03 | −0.08–0.6 | 0.82 | |
| Training experience during pharmacy course | ||||||
| No | 211 (54.52) | 1.78 | 1.01 | −0.21–3.77 | 0.0804 | |
| Yes | 97 (25.07) | |||||
| Not sure | 79 (20.41) | |||||
| Training experience since degree qualified | ||||||
| Yes | 120 (31.01) | 2.07 | 1.09 | −0.07–4.21 | 0.0593 # | |
| No | 267 (68.99) | |||||
| Sources of knowledge a | ||||||
| Training session | 274 | 3.14 | 1.11 | 0.96–5.31 | 0.00485 ** | |
| Special literature | 245 | 2.63 | 1.04 | 0.58–4.69 | 0.0122 * | |
| Patient information leaflet | 139 | −0.12 | 1.06 | −2.19–1.97 | 0.9140 | |
| Sales representative | 106 | 2.38 | 1.13 | 0.14–4.60 | 0.0365 * | |
| Articles in CCPE | 297 | 0.82 | 1.21 | −1.55–3.18 | 0.4980 | |
| Guidelines | 258 | 1.51 | 1.07 | −0.60–3.62 | 0.1600 | |
| Others | 9 | −2.74 | 3.37 | −9.36–3.87 | 0.4160 | |
a Multiple answers accepted. 1—Parameter estimate coefficient, 2—[Robust] Standard Error, 3—Confidence interval, # p < 0.1, * p < 0.05, ** p < 0.01, CCPE: Center for Continuing Pharmaceutical Education.
Bivariate analysis of Attitude with professional background factors.
| Variables | N = 387 (%) | Attitude | |||
|---|---|---|---|---|---|
| β 1 | SE 2 | 95% CI 3 | |||
|
| |||||
| BSc in Pharmacy | 202 (52.20) | 0.41 | 1.02 | −1.58–2.41 | 0.68 |
| PharmD (Pharmaceutical Care) | 150 (38.76) | −0.69 | 1.04 | −2.74–1.36 | 0.507 |
| PharmD (Industrial Pharmacy) | 31 (8.00) | 0.84 | 1.87 | −2.83–4.52 | 0.651 |
| PharmD (Pharmaceutical and Health Consumer Protection) | 2 (0.52) | 0.38 | 7.08 | −13.55–14.30 | 0.9570 |
| PharmD (English programme) | 2 (0.52) | −0.63 | 7.08 | −14.55–13.30 | 0.9290 |
|
| |||||
| Community pharmacy | 329 | 1.36 | 1.42 | −1.42–4.15 | 0.3380 |
| Hospital pharmacy | 319 | 0.06 | 1.33 | −2.55–2.68 | 0.9630 |
| Manufacturing | 105 | 1.65 | 1.14 | −0.59–3.88 | 0.1490 |
| Drug registration | 31 | 2.85 | 1.86 | −0.81–6.50 | 0.1280 |
| Regulation and jurisdiction | 44 | 2.81 | 1.59 | −0.31–5.93 | 0.0787 # |
| Research and development | 56 | 2.22 | 1.42 | −0.58–5.02 | 0.1210 |
a Multiple answers accepted, 1—Parameter estimate coefficient, 2—[Robust] Standard Error, 3—Confidence interval, # p < 0.1.
Bivariate analysis of Attitude with work employment factors.
| Variables | N = 387 (%) | Attitude | |||
|---|---|---|---|---|---|
| β 1 | SE 2 | 95% CI 3 | |||
| Experience as community pharmacist | |||||
| Year | Mean = 5.59 | 0.07 | 0.08 | −0.09–0.23 | 0.0593 # |
| Student internships | |||||
| No | 303 (78.29) | 4.28 | 1.21 | 1.91–6.66 | 0.000463 *** |
| Yes | 84 (21.71) | ||||
1—Parameter estimate coefficient, 2—[Robust] Standard Error, 3—Confidence interval, # p < 0.1, *** p < 0.001.
Figure 3Mixed methods survey tool.