| Literature DB >> 32894121 |
Shongkour Roy1, Kanij Sultana2, Sharif Mohammed Ismail Hossain2, Pooja Sripad3, Charlotte E Warren3.
Abstract
BACKGROUND: Pharmacy workers in Bangladesh play an important role in managing pregnancy complications by dispensing, counselling and selling drugs to pregnant women and their families. This study examined pharmacy workers' drug knowledge and practice for pre-eclampsia and eclampsia (PE/E) management, including antihypertensives and anticonvulsants, and determine factors associated with their knowledge.Entities:
Keywords: Anticonvulsant; Antihypertensives; Eclampsia; Knowledge; MgSO4; Pharmacy workers; Preeclampsia
Mesh:
Substances:
Year: 2020 PMID: 32894121 PMCID: PMC7487640 DOI: 10.1186/s12913-020-05685-6
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Background characteristics of pharmacy workers
| Variables | N | % |
|---|---|---|
| Comilla | 124 | 32.5 |
| Rangpur | 80 | 20.9 |
| Tangail | 90 | 23.6 |
| Bhola | 88 | 23.0 |
| Male | 316 | 82.7 |
| Female | 66 | 17.3 |
| < 30 | 69 | 18.1 |
| 30–39 | 114 | 29.8 |
| 40–49 | 88 | 23.0 |
| > =50 | 111 | 29.1 |
| < 1 year | 15 | 3.9 |
| 1–5 years | 87 | 22.8 |
| > 5 | 280 | 73.3 |
| No | 92 | 24.1 |
| Yes | 290 | 75.9 |
| District Hospital/MCWC | 8 | 2.1 |
| Upazila Health Complex (UHC) | 21 | 5.5 |
| Union Health and Family Welfare Center (UH&FWC) | 114 | 29.8 |
| Private | ||
| Private pharmacies/drug stores | 239 | 62.6 |
| | ||
| Pharmacist | 28 | 7.3 |
| Service providers (FWV/SACMO) additional work in pharmacy | 103 | 27.0 |
| Drug store keeper | 12 | 3.1 |
| | ||
| Drug seller/store manager | 37 | 9.7 |
| Drug store owner | 202 | 52.9 |
Basic training on pharmacy by type of pharmacy workers
| Public | Private | ||||
|---|---|---|---|---|---|
| Pharmacist | Service provider (FWV/SACMO) ( | Drug store keeper ( | Drug seller/ store manager | Drug store owner | |
| Pharmacist/diploma pharmacist | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| Certificate course | 0.0 | 0.0 | 0.0 | 17.9 | 30.3 |
| Learned from experience | 0.0 | 100.0 | 100.0 | 75.0 | 26.9 |
| Informal healthcare (village doctor/Pollichikitshok) | 0.0 | 0.0 | 0.0 | 7.1 | 58.4 |
aMultiple response
Pharmacy workers’ knowledge on antihypertensive and anticonvulsant drug by demographic and employment characteristics
| Variables | Knowledge on antihypertensive | Knowledge on anticonvulsant | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Poor | Correct ( | P-value | Poor | Correct ( | P-value | |||||
| n | % | n | % | n | % | n | % | |||
| 0.919a | 0.09a | |||||||||
| Male | 246 | 77.8 | 70 | 22.2 | 255 | 80.7 | 61 | 19.3 | ||
| Female | 51 | 77.3 | 15 | 22.7 | 59 | 89.4 | 7 | 10.6 | ||
| 0.396a | 0.38a | |||||||||
| < 30 | 56 | 81.2 | 13 | 18.8 | 59 | 85.5 | 10 | 14.5 | ||
| 30–39 | 92 | 80.7 | 22 | 19.3 | 96 | 84.2 | 18 | 15.8 | ||
| 40–49 | 63 | 71.6 | 25 | 28.4 | 67 | 76.1 | 21 | 23.9 | ||
| > =50 | 86 | 77.5 | 25 | 22.5 | 92 | 82.9 | 19 | 17.1 | ||
| < 0.001b | 0.07b | |||||||||
| | ||||||||||
| District Hospital /MCWC | 4 | 50.0 | 4 | 50.0 | 6 | 75.0 | 2 | 25.0 | ||
| UHC | 16 | 76.2 | 5 | 23.8 | 16 | 76.2 | 5 | 23.8 | ||
| UH&FWC | 72 | 63.2 | 42 | 36.8 | 86 | 75.4 | 28 | 24.6 | ||
| | ||||||||||
| Private pharmacies/ drug stores | 205 | 85.8 | 34 | 14.2 | 206 | 86.2 | 33 | 13.8 | ||
| 0.01a | < 0.001a | |||||||||
| Comilla | 98 | 79.0 | 26 | 21.0 | 105 | 84.7 | 19 | 15.3 | ||
| Rangpur | 51 | 63.8 | 29 | 36.2 | 67 | 83.8 | 13 | 16.3 | ||
| Tangail | 75 | 83.3 | 15 | 16.7 | 62 | 68.9 | 28 | 31.1 | ||
| Bhola | 73 | 82.9 | 15 | 17.1 | 80 | 90.9 | 8 | 9.1 | ||
| < 0.001b | 0.09b | |||||||||
| | ||||||||||
| Pharmacist | 20 | 71.4 | 8 | 28.6 | 21 | 75.0 | 7 | 25.0 | ||
| Service providers (FWV/SACMO) additionally, work in pharmacy | 62 | 60.2 | 41 | 39.8 | 77 | 74.8 | 26 | 25.2 | ||
| Drug store keeper | 10 | 83.3 | 2 | 16.7 | 10 | 83.3 | 2 | 16.7 | ||
| | ||||||||||
| Drug seller/ store manager | 34 | 91.9 | 3 | 8.1 | 33 | 89.2 | 4 | 10.8 | ||
| Drug store owner | 171 | 84.7 | 32 | 15.3 | 173 | 85.6 | 29 | 14.4 | ||
| 0.59b | 0.36b | |||||||||
| Less than 1 year | 11 | 73.3 | 4 | 26.7 | 12 | 80.0 | 3 | 20.0 | ||
| 1–5 years | 71 | 81.6 | 16 | 18.4 | 76 | 87.4 | 11 | 12.6 | ||
| More than 5 | 215 | 76.8 | 65 | 23.2 | 226 | 80.7 | 54 | 19.3 | ||
| 0.32a | 0.003a | |||||||||
| No | 75 | 81.5 | 17 | 18.5 | 85 | 92.4 | 7 | 7.6 | ||
| Yes | 222 | 76.5 | 68 | 23.5 | 229 | 78.9 | 61 | 21.1 | ||
Note: a: Chi-square test and b: Fisher exact test: FWV Family Welfare Visitor, SACMO Sub Assistant Community Medical Officer, MCWC Maternal and Child Welfare Center, UHC Upazila Health Complex, UH&FWC Union Health and Family Welfare Center
Odd Ratios of pharmacy workers correct knowledge of antihypertensive and anticonvulsant drugs in pregnancy by demographic and employment characteristics
| Variables | Anti-hypertensive Knowledge, | Anticonvulsant Knowledge, | ||
|---|---|---|---|---|
| OR (95%CI) | AOR (95%CI) | OR (95%CI) | AOR (95%CI) | |
| Female | 1 | 1 | 1 | 1 |
| Male | 0.9 (0.5–1.8) | 4.2* (1.7–10.6) | 2.0 (0.9–4.6) | 6.5** (2.1–19.9) |
| < 30 | 1 | 1 | 1 | 1 |
| 30–39 | 1.1 (0.5–2.2) | 0.9 (0.4–2.1) | 1.1 (0.5–2.6) | 1.2 (0.5–3.3) |
| 40–49 | 1.7 (0.8–3.7) | 1.1 (0.4–2.8) | 1.2 (0.5–2.8) | 1.9 (0.6–5.6) |
| > =50 | 1.3 (0.6–2.7) | 0.5 (0.2–1.2) | 1.2 (0.5–2.8) | 0.7 (0.2–2.2) |
| Comilla | 1 | 1 | 1 | 1 |
| Rangpur | 2.1* (1.1–4.0) | 2.9** (1.4–6.2) | 1.1 (0.5–2.3) | 1.1 (0.4–2.7) |
| Tangail | 0.7 (0.4–1.5) | 0.8 (0.4–1.8) | 2.5** (1.3–4.8) | 3.6** (1.7–7.6) |
| Bhola | 0.8 (0.1–1.6) | 1.1 (0.5–2.5) | 0.6 (0.2–1.3) | 0.9 (0.3–2.4) |
| Public | ||||
| Pharmacist | 1 | 1 | 1 | 1 |
| Service providers (FWV/SACMO) additionally, work in pharmacy | 1.6 (0.7–4.1) | 4.2** (1.3–12.3) | 1.0 (0.4–2.7) | 4.9** (1.3–18.1) |
| Drug store keeper | 0.5 (0.1–2.8) | 0.6 (0.1–3.9) | 0.6 (0.1–3.4) | 0.9 (0.2–5.4) |
| Private | ||||
| Drug seller/store manager | 0.2* (0.1–0.9) | 0.1** (0.02–0.6) | 0.4 (0.1–1.4) | 0.5 (0.1–2.5) |
| Drug store owner | 0.5* (0.2–1.1) | 0.3* (0.1–0.9) | 0.5 (0.2–1.3) | 0.5 (0.2–1.6) |
| Less than 1 year | 1 | 1 | 1 | 1 |
| 1–5 years | 0.6 (0.1–2.2) | 0.9 (0.2–3.8) | 0.6 (0.1–2.4) | 0.5 (0.1–2.2) |
| More than 5 | 0.8 (0.3–2.7) | 1.2 (0.3–4.5) | 0.9 (0.3–3.5) | 0.7 (0.2–3.1) |
| No | 1 | 1 | 1 | |
| Yes | 1.4 (0.7–2.4) | 2.6* (1.2–5.7) | 3.0* (1.4–7.4) | 3.2* (1.1–8.1) |
Inference: * p < 0.05; ** P < 0.01; *** P < 0.001
Correctly know any drugs such as Alpha Methyldopa, Labetalol, Nifedipine and Hydralazine for hypertension during pregnancy and MgSO4 for PE/E associated with correct antihypertensive and anticonvulsant knowledge using multivariate logistic model
| Indicators | Antihypertensive knowledge | Anticonvulsant knowledge | ||
|---|---|---|---|---|
| OR (95%CI) | AOR | OR (95%CI) | AOR | |
| Correctly know any drug for hypertension during pregnancy | 16.5*** (7.4–36.9) | 17.9*** (7.7–41.6) | 3.1*** (1.5–6.2) | 3.2*** (1.6–6.2) |
| Correctly know any drug for hypertension during SPE/E | 11.4*** (4.5–28.5) | 14.6*** (5.5–38.8) | 2.9** (1.4–7.8) | 3.0** (1.1–7.7) |
| Correctly know injection MgSO4 for management of convulsion | 1.9 (0.7–5.7) | 1.6 (0.6–4.8) | 5.5*** (1.9–15.8) | 5.6*** (2.0–15.9) |
Wald chi-square (p-value) [R-square] | 101.5 (p < 0.001) [48.1%] | 97.3 (p < 0.001) [49.4%] | 73.7 (p < 0.001) [27.8%] | 74.1 (p < 0.001) [28.0%] |
Inference: * p < 0.05; ** P < 0.01; *** P < 0.001; 〹 adjusted for age and districts.