| Literature DB >> 31496899 |
Kim Heng Tay1, Farnaza Ariffin2, Benedict Lh Sim1, Sheau Yin Chin3, Ammar Che Sobry4.
Abstract
BACKGROUND: Antimicrobial resistance is a global problem that is perpetuated by the inappropriate use of antibiotics among doctors. This study aims to assess the antibiotic prescription rate for patients with acute upper respiratory infection (URI) and acute diarrhoea.Entities:
Keywords: acute diarrhoea; acute upper respiratory infection; antibiotics; clinical audit; multifaceted intervention; prescription; rational
Year: 2019 PMID: 31496899 PMCID: PMC6719880 DOI: 10.21315/mjms2019.26.4.12
Source DB: PubMed Journal: Malays J Med Sci ISSN: 1394-195X
Frequency of the diagnosis and patients details (sex and age group) among pre-intervention and post-intervention patients
| Data population | Pre-intervention | Post-intervention | |
|---|---|---|---|
| Acute Diarrhoea | 216 (16.2) | 321 (26.8) | |
| Acute URI | 1118 (83.8) | 875 (73.2) | |
| Male | 689 (51.6) | 589 (49.2) | |
| Female | 645 (48.4) | 607 (50.8) | |
| 2–12 | 752 (56.4) | 545 (45.6) | |
| 13–19 | 120 (9.0) | 107 (8.9) | |
| 20–39 | 268 (20.1) | 344 (28.8) | |
| 40–59 | 134 (10.0) | 151 (12.6) | |
| > 59 | 60 (4.5) | 49 (4.1) |
Comparing pre and post intervention on the number of patients according to age group, antibiotics prescribing rate to national standard, types of antibiotics prescribed and repeated visit to ED among patients with acute diarrhoea and acute URI
| No. of patients | Condition population | Pre-intervention | Post-intervention | ||
|---|---|---|---|---|---|
|
|
| ||||
| Acute diarrhoea | Acute URI | Acute diarrhoea | Acute URI | ||
| Total variable | |||||
| Age group | 2–12 | 122 (56.5) | 630 (56.4) | 132 (41.1) | 413 (47.2) |
| 13–19 | 20 (9.3) | 100 (8.9) | 38 (11.8) | 69 (7.9) | |
| 20–39 | 50 (23.1) | 218 (19.5) | 106 (33.0) | 238 (28.2) | |
| 40–59 | 13 (6.0) | 121 (10.8) | 33 (10.3) | 118 (13.5) | |
| > 59 | 11 (5.1) | 49 (4.4) | 12 (3.7) | 37 (4.2) | |
| Total variable | |||||
| Antibiotics prescribed to patients | No | 191 (88.8) | 792 (70.9) | 301 (93.8) | 755 (86.3) |
| Yes | 24 (11.2) | 325 (29.1) | 20 (6.2) | 120 (13.7) | |
| Antibiotics prescribing rate | Rate (%) | 11.2% | 29.1% | 6.2% | 13.7% |
| Standard rate of antibiotics prescribed according to NMCS. | Rate (%) | 9.1% | 16.8% | 9.1% | 16.8% |
| Comparing antibiotics prescribing rate to the standard of NMCS | Higher or lower than the national standard | Higher | Higher | Lower | Lower |
| Total variable | |||||
| Types of antibiotics used | Amoxycillin | 14 (58.3) | 280 (86.4) | 6 (30.0) | 102 (85.7) |
| Erythromycin | – | 32 (9.9) | – | 12 (10.1) | |
| Cloxacillin | – | 6 (1.9) | – | 2 (1.7) | |
| Penicillin | 1 (4.2) | 3 (0.9) | – | 1 (0.8) | |
| Metronidazole | 8 (33.3) | – | 10 (50.0) | – | |
| Others | 1 (4.2) | 3 (0.9) | 4 (20.0) | 2 (1.7) | |
| Total variable | |||||
| Repeated visits | Yes | 18 (11.7) | 91 (10.6) | 18 (5.6) | 79 (9.0) |
| No | 136 (88.3) | 770 (89.4) | 303 (94.4) | 796 (91.0) | |
refers to missing data
Statistical analysis using Chi-squared test to identify the significance between pre-intervention and post-intervention outcomes on antibiotics prescribing rate and repeated visits
| Pre-intervention | Post-intervention | Chi-squared test | ||||
|---|---|---|---|---|---|---|
|
|
| |||||
| Number ( | Rate (%) | Number ( | Rate (%) | |||
| Repeated visits | Yes | 109 | 10.7 | 97 | 8.1 | 0.021 |
| No | 906 | 89.3 | 1099 | 91.9 | ||
| Antibiotics prescribing | Yes | 349 | 26.2 | 140 | 11.7 | 0.001 |
| No | 983 | 73.7 | 1056 | 88.3 | ||
refers to missing data