| Literature DB >> 30645626 |
Gracious Yoofi Donkor1, Ebenezer Dontoh1, Alex Owusu-Ofori2.
Abstract
There has been a significant rise in global antibiotic use in recent years. Development of resistance has been linked to easy accessibility, lack of regulation of sale, increased tendency to self-medicate and the lack of public knowledge. The increase in antibiotic misuse, including self-medication, has not been well documented in developing countries. Antibiotic use prior to visiting health facilities has been found to be prevalent in developing countries. It has been identified by some studies to increase the likelihood of missed diagnoses and influence the outcome of bacteriological tests. This study is aimed at determining the prevalence of prior antibiotic use through a cross-sectional survey of patients undergoing laboratory tests at two health facilities in Ghana. Face-to-face questionnaires were used to interview 261 individuals chosen by random sampling of patients visiting the bacteriology laboratory of the hospitals within a two-month period. The questionnaire investigated participant demographic characteristics, knowledge about antibiotics and the nature of antibiotic use. Antibiotic property detection bioassay was performed on patient's urine sample using a disk diffusion method to accurately determine antibiotic use within 72 hours. Culture results were used as an index to evaluate the effect of prior antibiotic use on bacteriological tests. Out of a 261 participants enrolled, 19.9% (95% CI, 14.9-24.9) acknowledged using antibiotics prior to their visit to the laboratory during the study period. On the contrary, 31.4% (95% CI, 25.7-37.5) of participants' urine samples were positive for antimicrobial activity. Participants within the age ranges of 20-30, 31-40 and 41-50 years had significantly lower odds of urine antimicrobial activity. Participants who had urine antimicrobial activity were more likely to have no growth on their culture plates than participants who had no urine antimicrobial activity [OR 2.39(1.37-4.18), p = 0.002]. The most commonly used antibiotics were the penicillins, fluoroquinolones and metronidazole. Although, majority of the participant (54.8%) had knowledge of antibiotics, most of them had inadequate information on their proper use. The commonest indications for antibiotic use were aches and pains (30.3%), diarrhoea (43.3%) and urinary tract infections (28.0%). Prior antibiotic use was found to increase the likelihood of obtaining a culture negative result and can affect the outcome of bacteriological tests.Entities:
Mesh:
Substances:
Year: 2019 PMID: 30645626 PMCID: PMC6333348 DOI: 10.1371/journal.pone.0210716
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1A model for the arrangement of filter paper and antibiotics discs on the agar plates.
(A) Escherichia coli plate (ATCC 25922) (B) Staphylococcus aureus (ATCC 25923) plate.
Sociodemographic characteristics of study participants.
| Category | Health Facility | Total | |
|---|---|---|---|
| Bomso, | St. Dominic's, | ||
| Female | 70 (70) | 130 (80.7) | 200 (76.6) |
| <20 years | 7 (7) | 12 (7.5) | 19 (7.3) |
| 20–30 years | 38 (38) | 52 (32.3) | 90 (34.5) |
| 31–40 years | 31 (31) | 49 (30.4) | 80 (30.7) |
| 41–50 years | 12 (12) | 21 (13.0) | 33 (12.6) |
| 51–60 years | 6 (6) | 11 (6.8) | 17 (6.5) |
| >60 years | 6 (6) | 16 (9.9) | 22 (8.4) |
| Outpatient | 100 (100) | 62 (38.5) | 162 (62.1) |
| In-patient | 0 (0) | 99 (61.5) | 99 (37.9) |
| No formal education | 3 (3) | 12 (7.4) | 15 (5.7) |
| Basic School | 11 (11) | 27 (16.8) | 38 (14.6) |
| Junior High School | 19 (19) | 48 (29.8) | 67 (25.7) |
| Senior High School | 23 (23) | 47 (29.2) | 70 (26.8) |
| Tertiary | 44 (44) | 27 (16.8) | 71 (27.2) |
| Yes | 33 (33) | 85 (52.8) | 118 (45.2) |
| Good | 44 (44) | 107 (66.5) | 151 (57.9) |
| Moderate | 36 (36) | 46 (28.6) | 82 (31.4) |
| Poor | 20 (20) | 8 (4.9) | 28 (10.7) |
Study participants’ knowledge and use of antibiotics.
| Variable | Health Facility | Total | |
|---|---|---|---|
| Bomso, | St. Dominic's, | ||
| Yes | 65 (65.0) | 108 (67.1) | 143 (54.8) |
| Yes | 67 (67.0) | 26 (16.2) | 93 (35.6) |
| No | 3 (3.0) | 51 (31.7) | 54 (20.7) |
| Unknowingly | 30 (30.0) | 84 (52.1) | 114 (43.7) |
| Prescription | 78 (78.0) | 118 (73.3) | 196 (75.1) |
| Relative advice | 6 (6.0) | 4 (2.5) | 10 (6.2) |
| Pharmacist | 24 (24.0) | 0 (0) | 24 (14.9) |
| Self-medication | 41 (41.0) | 92 (57.1) | 133 (70.2) |
| Advertisement | 2 (2.0) | 0 (0) | 2 (1.2) |
| On admission | 13 (13.0) | 0 (0) | 13 (8.1) |
| Left over drug | 2 (2.0) | 7 (4.3) | 9 (5.6) |
| Cough | 8 (8.0) | 30 (18.6) | 38 (14.6) |
| Nasal congestion | 26 (26.0) | 1 (0.6) | 27 (10.3) |
| Runny nose | 19 (19.0) | 0 (0) | 38 (7.3) |
| Sore throat | 34 (34.0) | 1 (0.6) | 35 (13.4) |
| Fever | 17 (17.0) | 0 (0) | 17 (6.5) |
| Vomiting | 4 (4.0) | 2 (1.2) | 6 (2.3) |
| Diarrhoea | 34 (34.0) | 79 (49.1) | 113 (43.3) |
| Aches and pains | 35 (35.0) | 44 (27.3) | 79 (30.3) |
| Skin wounds | 30 (30.0) | 41 (25.5) | 71 (27.2) |
| Boils | 17 (17.0) | 8 (5.0) | 25 (9.6) |
| Urinary Tract Infections | 11 (11.0) | 62 (38.5) | 73 (28.0) |
| Others | 10 (10.0) | 6 (3.7) | 16 (6.1) |
Fig 2Antibiotic classes used by respondents stratified by location.
Prior antibiotic use stratified by location.
| Variable | Health Facility | Total | p-value | |
|---|---|---|---|---|
| Bomso | St. Dominic's | |||
| 0.177 | ||||
| Yes | 28 (28.0) | 59 (36.6) | 87 (33.3) | |
| 0.1511 | ||||
| Yes | 15 (15.0) | 37 (23.0) | 52 (19.9) | |
| 1–12 hours | 0 (0) | 3 (1.9) | 3 (1.1) | |
| 12–24 hours | 5 (5.0) | 29 (18.0) | 34 (13.0) | |
| 24–48 hours | 3 (3.0) | 5 (3.1) | 8 (3.1) | |
| 48–72 hours | 3 (3.0) | 0 (0) | 3 (1.1) | |
| 72 hours and above | 4 (4.0) | 0 (0) | 4 (1.5) | |
| None | 85 (0) | 124 (47.5) | 209 (80.1) | |
| Positive | 14 (14.0) | 68 (42.2) | 82 (31.4) | |
Results of participants’ culture tests.
| Culture results | Frequency | Percentage(%) |
|---|---|---|
| No growth | 128 | 48.85 |
| Insignificant growth | 70 | 26.72 |
| Significant growth | 65 | 24.43 |
| 29 | 11.07 | |
| 2 | 0.76 | |
| 3 | 1.15 | |
| 5 | 1.90 | |
| 1 | 0.38 | |
| 3 | 1.15 | |
| 21 | 8.02 |
Bacterial isolates and their susceptibility patterns among participants.
| CIP | NIT | AMK | AUG | CXM | GEN | NAL | PPA | CTZ | AMP | TET | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bacterial isolates | N | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n(%) | n (%) | n (%) |
| E. coli | 29 | 7(24.1) | 14(48.3) | 24 (82.8) | 2(14.2) | 5(17.2) | 14(48.3) | 3(10.3) | 7(24.1) | 1(3.4) | 0(0) | 1(3.4) |
| Klebsiella spp | 5 | 1(20) | 1(20) | 4(80) | 0(0) | 0(0) | 2(40) | 0(0) | 1(20) | 0(0) | 0(0) | 0(0) |
| P. mirabilis | 3 | 2(66.7) | 1(33.3) | 2(66.7) | 1(33.3) | 1(33.3) | 2(66.7) | 1(33.3) | 1(33.3) | 2(66.7) | 0(0) | 0(0) |
| Enterobacteria | 3 | 1(33.3) | 1(33.3) | 1(33.3) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) |
| Enterococcus spp | 1 | 1(100) | 1(100) | 0(0) | 1(100) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) | 1(100) | 1(100) |
| Staphylococcus spp | 2 | 1(50) | 0(0) | 1(50) | 1(50) | 1(50) | 2(100) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) |
E. coli = Escherichia coli, P. mirabilis = Proteus mirabilis, Klebsiella spp. = Klebsiella pneumonia and Klebsiella spp., Staphylococcus spp = Staphylococcus aureus and Coagulase Negative Staphylococcus, CIP = Ciprofloxacin, NIT = Nitrofurantoin, AMK = Amikacin, AUG = Augmentin, CXM = Cefuroxime, GEN = Gentamicin, NAL = Nalidixic acid, PPA = Pipemidic acid, CTZ = Cotrimoxazole, AMP = Ampicillin, TET = Tetracycline.