| Literature DB >> 32894182 |
Pius G Horumpende1,2,3, Stephen E Mshana4, Elise F Mouw5, Blandina T Mmbaga6,7, Jaffu O Chilongola6,7, Quirijn de Mast5.
Abstract
BACKGROUND: Antimicrobial resistance (AMR) is one of the most urgent global health threats with low-resource countries being disproportionately affected. Targeted interventions require insight in antibiotic prescription practices. A point prevalence survey (PPS) is a well-known tool to get insight in antibiotic dispensing practices in hospitals and identify areas for improvement. Here, we describe the results of a PPS performed in a tertiary, regional and district hospital in Kilimanjaro region in Tanzania.Entities:
Keywords: Antibiotic prescription; Antibiotic stewardship; Antimicrobial resistance; Point prevalence survey; Tanzania
Year: 2020 PMID: 32894182 PMCID: PMC7487761 DOI: 10.1186/s13756-020-00809-3
Source DB: PubMed Journal: Antimicrob Resist Infect Control ISSN: 2047-2994 Impact factor: 4.887
Demographics
| Characteristic | n (%) |
|---|---|
| Patients included | 399 (100) |
| KCMC | 232 (58.1) |
| Mawenzi | 94 (23.6) |
| St. Joseph | 73 (18.3) |
| Median age in years | 42 |
| Gender | |
| Male | 162 (40.7) |
| Female | 233 (58.5) |
| Not noted | 2 (0.8) |
| Antibiotic prescribed | 176 (44) |
| Antibiotics on admission | 223 (56) |
| Active Hospital acquired infection | 19 (4.8) |
Antibiotic use in the three hospitals
| Ward | Hospital | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| KCMC | Mawenzi | St. Joseph | |||||||
| Pts on antibiotics | Total pts | Prevalence (%) | Pts on antibiotics | Total pts | Prevalence (%) | Pts on antibiotics | Total | Prevalence (%) | |
| Medical wards | 26 | 75 | 35 | 20 | 31 | 65 | 26 | 42 | 62 |
| Surgical wards total | 62 | 157 | 40 | 35 | 63 | 56 | 20 | 31 | 65 |
| Surgery | 11 | 34 | 32 | 19 | 29 | 66 | 5 | 8 | 63 |
| Urology | 9 | 15 | 60 | 0 | 1 | 0 | |||
| Gynecology | 24 | 53 | 45 | 16 | 33 | 48 | 15 | 23 | 65 |
| ENT | 11 | 13 | 85 | ||||||
| Orthopedic | 7 | 42 | 17 | ||||||
Frequencies of used antibiotics
| KCMC | Mawenzi | St. Joseph | Total | |
|---|---|---|---|---|
| Ceftriaxone | 54 (35.8) | 11 (11.2) | 29 (35.8) | 94 (28.5) |
| Chloramphenicol | 2 (1.4) | 0 (0.0) | 0 (0.0) | 2 (0.6) |
| Ciprofloxacin | 2 (1.4) | 0 (0.0) | 2 (2.5) | 4 (1.2) |
| Clindamycin | 0 (0.0) | 1 (1.0) | 0 (0.0) | 1 (0.3) |
| Trimethoprim/sulfamethoxazole | 5 (7.0) | 6 (6.1) | 2 (2.5) | 13 (3.9) |
| Doxycycline | 1 (0.7) | 1 (1.0) | 3 (3.7) | 5 (1.5) |
| Fluconazole | 6 (7.7) | 2 (2.0) | 2 (2.5) | 10 (3.0) |
| Gentamicin | 8 (8.4) | 7 (7.1) | 7 (8.6) | 22 (6.6) |
| Macrolides | 3 (2.1) | 0 (0.0) | 1 (1.3) | 4 (1.2) |
| Meropenem | 2 (1.4) | 0 (0.0) | 0 (0.0) | 2 (0.6) |
| Metronidazole | 35 (23.2) | 23 (23.5) | 21 (26.3) | 79 (23.9) |
| Penicillins | 32 (21.2) | 43 (43.9) | 14 (17.3) | 89 (26.9) |
| Amoxicillin | 11 (7.0) | 5 (5.1) | 2 (2.5) | 18 (5.5) |
| Amoxicillin - flucloxacillin | 1 (0.7) | 0 (0.0) | 0 (0.0) | 1 (0.3) |
| Amoxicillin – clavulanic acid | 3 (2.1) | 0 (0.0) | 0 (0.0) | 3 (0.9) |
| Ampicillin | 2 (1.4) | 20 (20.4) | 1 (1.2) | 23 (7.0) |
| Ampicillin - cloxacillin | 5 (3.3) | 12 (12.2) | 11 (13.6) | 28 (8.5) |
| Cloxacillin | 6 (4.0) | 5 (5.1) | 0 (0.0) | 11 (3.3) |
| Benzylpenicillin | 4 (2.6) | 1 (1.0) | 0 (0.0) | 5 (1.5) |
Surgical prophylaxis practices
| Single dose | 1 day | 2–3 days | > 3 days | |
|---|---|---|---|---|
| KCMC ( | 0 (0%) | 1 (3%) | 12 (40%) | 17 (57%) |
| Mawenzi ( | 0 (0%) | 3 (23%) | 2 (15%) | 8 (62%) |
| St. Joseph ( | 1 (7%) | 1 (7%) | 5 (36%) | 7 (50%) |
| Total ( | 1 (2%) | 5 (9%) | 19 (33%) | 32 (56%) |
Likelihood of infection
| Infection status | KCMC (n (%)) | Mawenzi (n (%)) | St. Joseph (n (%)) | Total (N (%)) |
|---|---|---|---|---|
| Proven | 16(25) | 9(20) | 4(12) | 29(20) |
| Probable | 7(11) | 6(14) | 11(32) | 24(16) |
| Possible | 20(31) | 12(27) | 10(29) | 42(28) |
| Unlikely | 22(34) | 17(39) | 9(26) | 48(36) |
| Total |