| Literature DB >> 29982636 |
Le Thi Quynh Nhi1,2, Ruklanthi de Alwis1,3, Phung Khanh Lam1, Nguyen Nhon Hoa2, Nguyen Minh Nhan2, Le Thi Tu Oanh2, Dang Thanh Nam2, Bui Nguyen Ngoc Han2, Hoang Thi Thuy Huyen2, Dinh Thi Tuyen2, Vu Thuy Duong1,4, Lu Lan Vi5, Bui Thi Thuy Tien6, Hoang Thi Diem Tuyet6, Le Hoang Nha7, Guy E Thwaites1,3, Do Van Dung2, Stephen Baker1,3,8.
Abstract
Objectives: Antimicrobial-resistant infections are a major global health issue. Ease of antimicrobial access in developing countries is proposed to be a key driver of the antimicrobial resistance (AMR) epidemic despite a lack of community antimicrobial usage data.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29982636 PMCID: PMC6105870 DOI: 10.1093/jac/dky231
Source DB: PubMed Journal: J Antimicrob Chemother ISSN: 0305-7453 Impact factor: 5.790
Pharmacies and healthcare clinics in the various wards in the study area
| Population | Pharmacy density (per 10000 people) | |||||
|---|---|---|---|---|---|---|
| Ward in District 8 | Healthcare facilities | Pharmacies | all | 1 to <5 years | all | 1 to <5 years |
| 1 | 7 | 10 | 25782 | 944 | 3.88 | 105.93 |
| 2 | 20 | 29 | 20694 | 843 | 14.01 | 344.01 |
| 3 | 15 | 16 | 24803 | 1139 | 6.45 | 140.47 |
| 4 | 51 | 36 | 42200 | 2284 | 8.53 | 157.62 |
| 5 | 46 | 48 | 40177 | 2538 | 11.95 | 189.13 |
| 6 | 15 | 34 | 30144 | 1353 | 11.28 | 251.29 |
| 7 | 12 | 28 | 31685 | 1414 | 8.84 | 198.02 |
| 8 | 4 | 5 | 9024 | 444 | 5.54 | 112.61 |
| 9 | 8 | 14 | 21564 | 1194 | 6.49 | 117.25 |
| 10 | 15 | 14 | 15841 | 836 | 8.84 | 167.46 |
| 11 | 7 | 5 | 7591 | 294 | 6.59 | 170.07 |
| 12 | 7 | 10 | 16653 | 816 | 6.00 | 122.55 |
| 13 | 12 | 7 | 8809 | 480 | 7.95 | 145.83 |
| 14 | 4 | 6 | 20575 | 1144 | 2.92 | 52.45 |
| 15 | 10 | 13 | 39623 | 2354 | 3.28 | 55.23 |
| 16 | 6 | 26 | 41010 | 1243 | 6.34 | 209.17 |
| Total | 239 | 301 | 396175 | 19320 | 7.59 | 142 |
Data from HCMC Demographic Department, 30 June 2017.
Figure 1.Estimating antimicrobial usage for diarrhoea in children aged 1–5 years in pharmacies and hospital. Diagram outlining the sources of data, parameters, and calculations used to quantify antimicrobial usage for diarrhoea in children aged 1–5 years in this population. Note each of the parameters have been given an initial (A–F), which informs the calculations in Table 3.
The burden of diarrhoea and antimicrobial treatment for diarrhoea in children aged 1–5 years
| Diarrhoea episodes per year (95% CI) | |||||
|---|---|---|---|---|---|
| Parameter | total | attending hospital | receiving an antimicrobial in hospital | attending a pharmacy | receiving an antimicrobial at a pharmacy |
| Calculation | (A × B) | (A × C) | (A × C × D) | (A × B × E) | (A × B × E × F) |
| Diarrhoea type | |||||
| watery | 10355 (8945–11765) | 2163 (1622–2724) | 898 (673–1130) | 2275 (1965–2584) | 184 (159–209) |
| mucoid | 4057 (2975–5158) | 2241 (1603–2878) | 1462 (1046–1878) | 667 (489–848) | 144 (105–183) |
| Total | 14427 (12636–16 219) | 4404 (3560–5249) | 2359 (1884–2834) | 2945 (2585–3305) | 329 (282–375) |
Calculation derived from parameters described in Figure 1.
Figure 2.The geographical distribution of pharmacies in the Ho Chi Minh City study area. Maps of district 8 in Ho Chi Minh City. (a) The point locations of pharmacies and the kernel distribution of pharmacy shop density. Green points identify the pharmacy shops and pharmacy density is determined by colour intensity (see key). (b) The distribution of pharmacy shops density per 10 000 inhabitants. The greater the intensity of red the higher the number of pharmacy shops per 10 000 people (see key, areas in grey are those with no data owing to missing data in the population raster). (c) The geographical areas in District 8 that are within 250 m of a pharmacy. Red shaded areas are locations in which residents live with 250 m of a location selling antimicrobials.
Figure 3.Medications sold by pharmacies in the study area for paediatric diarrhoea. (a) Rotated histogram showing the number and proportion (x-axis) of the 37 pharmacies visited during the ‘mystery shopper’ simulated client method selling between 1 and 5 medications (y-axis) for watery and mucoid diarrhoea, respectively. (b) Rotated histogram showing the number and proportion (x-axis) of the 37 pharmacies visited during the ‘mystery shopper’ simulated client method selling different mediations (y-axis) for watery and mucoid diarrhoea, respectively.
Figure 4.Healthcare utilization for paediatric diarrhoea by caregivers. Pyramid plot showing the number and proportions of 396 individual caregivers or parents of children aged <5 years residing in the study area (x-axis) selecting the various healthcare services (y-axis) as first, second or third choices (see key for shading) for watery and mucoid diarrhoea.
The demographic characteristics of parents and caregivers who chose a pharmacy or a hospital as first choice for a child with diarrhoea
| Watery diarrhoea | Mucoid diarrhoea | |||||
|---|---|---|---|---|---|---|
| pharmacy ( | hospital ( | pharmacy ( | hospital ( | |||
| Female sex | 73/87 (84) | 72/89 (81) | 0.693 | 55/65 (85) | 113/142 (80) | 0.448 |
| Role of parent (not caregivers) | 54/86 (63) | 39/89 (44) | 43/64 (67) | 69/142 (49) | ||
| Age in years, mean (IQR) | 38 (30–50) | 40 (32–57) | 0.051 | 38 (31–50) | 40 (32–56) | 0.198 |
| Healthcare trained | 7/83 (8) | 11/83 (13) | 0.461 | 4/63 (6) | 16/138 (12) | 0.316 |
| Employment | 87/87 (100) | 89/89 (100) | 0.661 | 65/65 (100) | 142/142 (100) | 0.943 |
| worker | 10/87 (11) | 10/89 (11) | 6/65 (9) | 16/142 (11) | ||
| officer | 6/87 (7) | 6/89 (7) | 5/65 (8) | 10/142 (7) | ||
| health staff | 2/87 (2) | 6/89 (7) | 1/65 (2) | 6/142 (4) | ||
| business owner | 15/87 (17) | 10/89 (11) | 11/65 (17) | 23/142 (16) | ||
| housewife | 35/87 (40) | 34/89 (38) | 29/65 (45) | 56/142 (39) | ||
| other (retired) | 19/87 (22) | 23/89 (26) | 13/65 (20) | 31/142 (22) | ||
| Education ≤12 years | 75/87 (86) | 68/88 (77) | 0.171 | 55/65 (85) | 115/141 (82) | 0.695 |
| Monthly income (VND) | 0.406 | 0.739 | ||||
| ≤1.3 million | 15/78 (19) | 14/80 (18) | 11/57 (19) | 20/127 (16) | ||
| 1.3–9 million | 59/78 (76) | 57/80 (71) | 42/57 (74) | 95/127 (75) | ||
| >9 million | 4/78 (5) | 9/80 (11) | 4/57 (7) | 12/127 (9) | ||
| Only 1 child | 36/84 (43) | 37/84 (44) | 1.000 | 21/65 (32) | 61/134 (46) | 0.091 |
| Only 1 child aged <5 years | 68/85 (80) | 71/86 (83) | 0.699 | 49/65 (75) | 105/134 (78) | 0.718 |
| Age of first child, years, mean (IQR) | 3 (2–4) | 2/87 (2–4) | 0.486 | 3 (2–4) | 3/140 (2–4) | 0.553 |
| Infections in previous month | 57/86 (66) | 44/86 (51) | 0.063 | 43/65 (66) | 73/139 (53) | 0.071 |
| Medication in previous month | 60/87 (69) | 51/87 (59) | 0.207 | 45/65 (69) | 83/141 (59) | 0.167 |
| Antimicrobials in previous month | 24/60 (40) | 26/70 (37) | 0.857 | 18/41 (44) | 46/118 (39) | 0.585 |
All values shown are n/N (%) unless otherwise indicated.
P values calculated using Fisher’s exact test for categorical variables and the Mann–Whitney U-test for continuous variables. Significant P values are highlighted in bold.
Number of respondents = 81.
Number of respondents = 60.
Number of respondents = 139.
Monthly income <1300000 VND/month is determined to be poor and below average (as suggested by the Vietnamese government), whereas income ≥9000000 VND/month is considered a good monthly income and above average.
Number of respondents = 87.
Number of respondents = 140.