Back

Analyzing The Pattern Of Use Of Antibiotics In A Ghanaian District Hospital, Across Two Different Years, Using The WHO Aware Classification.

Opoku-Agyeman, K.; Forson, D.; Acheampong, G. A.; Addo, D.; Afrifa, T. A.; Asamoah, Y. A.; Ayum, P. B.; Adade-Boateng, B. K.; Frimpong, P. B.

2023-10-28 public and global health
10.1101/2023.10.27.23297681 medRxiv
Show abstract

BackgroundThere has been an increment in the resistance of microorganisms to various antibiotics used in regional hospitals in the Ashanti region of Ghana and the country. This has led to difficulty in selecting agents to treat patients without the associated increment in side effects, the astronomical increase in the cost of medical care and a longer duration of hospitalization. In this study, we analyze the pattern of antibiotic use in a district hospital using the WHO AWaRe recommendation. ObjectivesTo ascertain the general pattern of antibiotic use with reference to the Access, Watch and Reserve Classes using the selected parameters (year of visit and patient demographics) and to confirm if the standard set by the WHO with respect to Access Class antibiotics is met. MethodFiles of patients, in 2021 and 2022, were systematically sampled from the database of SDA Hospital - Kwadaso (the hospital involved), and data concerning the visits for which antibiotics were administered were extracted to carry out the analysis required. The data extracted included the year of visit, demographics of the patients involved (patient status, age and sex) and the antibiotics that were administered. ResultsThis study seeks to ascertain the distribution of antibiotics used across the two years in the hospital of interest using the 2021 WHO AWaRe (Access, Watch and Reserve Antibiotics) Classification. Ultimately, the value, in percentage, of the distribution of the antibiotics used in the Access class will be compared to the target of at least 60% of the total antibiotic consumption being Access group antibiotics as recommended by WHO.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Frontiers in Public Health
148 papers in training set
Top 0.1%
18.8%
2
JAC-Antimicrobial Resistance
14 papers in training set
Top 0.1%
18.8%
3
PLOS ONE
5266 papers in training set
Top 12%
15.3%
50% of probability mass above
4
Journal of Antimicrobial Chemotherapy
46 papers in training set
Top 0.3%
4.1%
5
Antibiotics
34 papers in training set
Top 0.2%
3.5%
6
PLOS Global Public Health
344 papers in training set
Top 4%
3.3%
7
Frontiers in Medicine
120 papers in training set
Top 0.9%
3.3%
8
F1000Research
88 papers in training set
Top 0.8%
2.5%
9
BMJ Open
601 papers in training set
Top 9%
1.9%
10
BMC Health Services Research
51 papers in training set
Top 1%
1.9%
11
Risk Management and Healthcare Policy
10 papers in training set
Top 0.2%
1.5%
12
Cureus
68 papers in training set
Top 3%
1.5%
13
International Journal of Infectious Diseases
129 papers in training set
Top 2%
1.1%
14
JMIRx Med
32 papers in training set
Top 1%
1.1%
15
Journal of Global Antimicrobial Resistance
17 papers in training set
Top 0.4%
1.1%
16
eLife
5828 papers in training set
Top 59%
1.1%
17
BMC Infectious Diseases
133 papers in training set
Top 4%
1.1%
18
Journal of Family Medicine and Primary Care
12 papers in training set
Top 0.5%
1.0%
19
Scientific Reports
3612 papers in training set
Top 73%
0.9%
20
Microbiology Spectrum
469 papers in training set
Top 10%
0.9%
21
BMJ Global Health
113 papers in training set
Top 3%
0.6%
22
Environmental Research
49 papers in training set
Top 1%
0.6%