| Literature DB >> 35115790 |
Kindu Geta1,2, Mulugeta Kibret2.
Abstract
BACKGROUND: Although inappropriate antibiotic use could contribute to the spread of antimicrobial resistance, data on the knowledge, attitude and practice of antibiotic use and resistance among patients in north-western Ethiopia are scarce. This study assessed patients' knowledge, attitudes and practices regarding antibiotic use and resistance in selected public hospitals of Amhara regional state, Ethiopia.Entities:
Keywords: antibiotic resistance; antibiotic use; attitude; knowledge; patients; practice
Year: 2022 PMID: 35115790 PMCID: PMC8799925 DOI: 10.2147/IDR.S348765
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Figure 1Map of the study area.
Demographic Characteristics of Patients (n=232)
| Variables | N | % | |
|---|---|---|---|
| Sex | Male | 147 | 63.4 |
| Female | 85 | 36.6 | |
| Age | 18–30 | 79 | 34.1 |
| 31–45 | 84 | 36.2 | |
| 46–55 | 31 | 13.4 | |
| 56–65 | 22 | 9.5 | |
| >65 | 16 | 6.9 | |
| Marital status | Single | 74 | 31.9 |
| Married | 138 | 59.5 | |
| Divorce | 14 | 6 | |
| Widowed | 6 | 2.6 | |
| Education | Uneducated | 85 | 36.6 |
| Primary | 47 | 20.3 | |
| Secondary | 38 | 16.4 | |
| Diploma | 21 | 9.1 | |
| Technique | 12 | 5.2 | |
| University | 29 | 12.5 | |
| Religion | Orthodox | 214 | 92.2 |
| Protestant | 2 | 0.9 | |
| Muslim | 16 | 6.9 | |
| Occupation | Farmer | 72 | 31 |
| House wife | 28 | 12.1 | |
| Merchant | 35 | 15.1 | |
| Teacher | 18 | 7.8 | |
| Student | 38 | 16.4 | |
| Daily labor | 20 | 8.6 | |
| Driver | 3 | 2.6 | |
| Health worker | 6 | 2.6 | |
| Others | 12 | 5.2 |
Patients Information on Antibiotics, Antibiotic Resistance and Uses
| Variables | Categories | N | % |
|---|---|---|---|
| Have you taken antibiotics? | Yes | 232 | 100 |
| No | 0 | 0 | |
| Sources of antibiotics | Medical prescription | 52 | 22.4 |
| Private pharmacy without prescription | 140 | 60.3 | |
| Left over from a previous course | 23 | 9.9 | |
| Relatives | 17 | 7.3 | |
| Frequency of taking antibiotics | Once | 59 | 25.4 |
| 2–5 times | 62 | 26.7 | |
| More than 5 times | 111 | 47.9 | |
| Do you hear the terms antibiotic and antibiotic resistance | Yes | 162 | 69.8 |
| No | 70 | 30.2 | |
| Source of information | Doctors and nurses | 87 | 37.5 |
| Family | 32 | 13.8 | |
| Pharmacy | 11 | 4.7 | |
| Media | 18 | 7.8 | |
| Course | 14 | 6 | |
| None | 70 | 30.2 | |
| Reasons for use of antibiotics without medical prescription | Minimize cost | 20 | 8.6 |
| Previous experience | 43 | 18.5 | |
| Quick relief | 34 | 14.7 | |
| Lack of time | 99 | 42.7 | |
| Absence of health insurance | 36 | 15.5 | |
| Mode of transmission of resistant bacteria to human | Direct contact | 20 | 8.6 |
| Animal product | 21 | 9.1 | |
| Contaminated water and soil | 25 | 10.8 | |
| Mobile genetic | 8 | 3.4 | |
| I do not know | 158 | 68.1 | |
| Impacts of antibiotic resistance | Difficult to treat | 15 | 6.5 |
| Medical cost | 3 | 1.3 | |
| Kill easily | 2 | 0.9 | |
| Difficult to treat and medical cost | 8 | 3.4 | |
| I do not know | 204 | 87.9 |
Figure 2Common antibiotics used by patients.
Knowledge, Attitude and Practice of Patients on Antimicrobial Resistances and Use in Amhara Regional State, North Western Ethiopia (n = 232)
| Antibiotics are useful in fighting bacterial infections | 139 (59.9) | 93 (40.1) | |
| Improper use of antibiotics can cause antibiotic resistance | 102 (40) | 130 (56) | |
| Antibiotic resistance is prompted by self-prescription | 125 (53.9) | 107 (46.1) | |
| Viral infection with fever should be treated with antibiotics | 110 (47.4) | 122 (52.6) | |
| Bacteria can become resistant against antibiotics | 133 (57.3) | 99 (42.7) | |
| Antibiotics have side effects | 121 (52.2) | 111 (47.8) | |
| Antibiotics help me to recover from a cold much quicker | 112 (48.3) | 34 (14.7) | 86 (37.1) |
| I request antibiotics even if the doctor has advised against it | 108 (46.6) | 27 (11.6) | 97 (41.8) |
| The doctor must prescribe more than one antibiotic if I have severe flu | 92 (39.7) | 107 (46.1) | 33 (14.2) |
| I prefer to be able to buy antibiotics from the pharmacy with a doctor’s prescription | 104 (44.8) | 45 (19.7) | 83 (35.8) |
| More expensive the antibiotics will be more effective. | 107 (46.1) | 73 (31.5) | 52 (22.4) |
| Antibiotics should be prescribed for all type of infections | 82 (35.3) | 97 (41.8) | 53 (22.8) |
| Antibiotic resistance is one of the biggest problems the world faces | 123 (53) | 37 (15.9) | 72 (31) |
| Everyone needs to take responsibility for using antibiotics | 129 (55.6) | 7 (3) | 96 (41.4) |
| I am worried about the impact that antibiotic resistance will have on my health, and that of my family | 115 (49.6) | 20 (8.6) | 97 (41.8) |
| I am not at risk of getting an antibiotic-resistant infection, as long as I take my antibiotics correctly. | 110 (47.4) | 31 (13.4) | 91 (39.2) |
| Farmers should give fewer antibiotics to food-producing animals | 101 (43.5) | 24 (10.3) | 107 (46.1) |
| People should not keep antibiotics and use them later for other illnesses | 126 (54.3) | 10 (4.3) | 96 (41.4) |
| Doctors should only prescribe antibiotics when they are needed | 111 (47.8) | 42 (18.1) | 79 (34.1) |
| I take my antibiotics according to directions on the label | 123 (53) | 109 (47) | |
| I take extra antibiotic pills if my condition worsens | 98 (42.2) | 134 (57.8) | |
| I stop taking my antibiotic when I start feeling better | 111 (47.8) | 121 (52.2) | |
| I share antibiotics with friends and family if they need them | 115 (49.6) | 117 (50.4) | |
| I reserve antibiotics to self-medicate for future use | 116 (50) | 116 (50) | |
| I have completed the full course of treatment | 132 (56.9) | 100 (43.1) | |
| I have check expiry date of the antibiotic before using | 111 (47.8) | 121 (52.2) | |
| I prefer to take an antibiotic when I have any cough and cold | 90 (38.8) | 142 (61.2) | |
| I use antibiotics only when they are prescribed by a doctor or nurse | 112 (48.3) | 120 (51.7) | |
| Overall level of knowledge | Frequency (%) | ||
| Better | 87 (37.5) | ||
| Poor | 145 (62.5) | ||
| Overall level of attitude | Frequency (%) | ||
| Better | 105 (45.3) | ||
| Poor | 127 (54.7) | ||
| Overall level of practices | Frequency (%) | ||
| Better | 102 (44) | ||
| Poor | 130 (56) | ||
Relation Between Participants’ Characteristics and Knowledge, Attitude and Behavior About Antibiotic Resistance and Use
| Demographic Variables | Knowledge Score | Attitude Score | Practice Score | ||||
|---|---|---|---|---|---|---|---|
| Mean ± SD | P-value | Mean ± SD | P-value | Mean ± SD | P-value | ||
| Sex | Male | 3.1±1.2 | 0.181 | 27.5±4.8 | 0.691 | 4.4±2.0 | 0.424 |
| Female | 3.3±1.2 | 27.8±5.2 | 4.2±2.0 | ||||
| Age | 15–30 | 3.2±1.2 | 0.698 | 28.7±5.2 | 0.006 | 4.6±2.2 | 0.218 |
| 31–45 | 3.1±1 | 27.9±4.9 | 4.2±2.1 | ||||
| 46–55 | 3.0±1.2 | 26.1±3.9 | 4.6±1.9 | ||||
| 56–65 | 3.0±1.3 | 24.9±2.5 | 4.0±1.5 | ||||
| >65 | 3.4±1.4 | 27.3±6.3 | 3.4±1.6 | ||||
| Marital status | Single | 3.3±1.2 | 0.103 | 29±5.5 | 0.005 | 5±2.1 | 0.006 |
| Married | 3.0±1.1 | 26.7±4.5 | 4.1±1.9 | ||||
| Divorce | 3.1±1.5 | 29.5±5.4 | 3.5±2.3 | ||||
| Widowed | 4±1.4 | 28.2±3.3 | 4.3±1.8 | ||||
| Education | Uneducated | 2.8±0.9 | <0.0001 | 25.8±4 | <0.0001 | 3.6±1.7 | <0.0001 |
| Primary | 2.7±1.3 | 26.7±4.6 | 4.6±1.9 | ||||
| Secondary | 3.1±1.1 | 27.2±4.7 | 4.6±1.9 | ||||
| Diploma | 4.0±1.0 | 30.6±5.3 | 5.2±2.5 | ||||
| Technique | 3.4±1.2 | 29.1±6.2 | 5.4±1.9 | ||||
| University | 4.1±1.0 | 32.4±3.8 | 4.8±2.2 | ||||
| Religion | Orthodox | 3.1±1.2 | 0.716 | 27.5±5.0 | 0.261 | 4.4±2.0 | 0.955 |
| Protestant | 3.0±1.4 | 31.0±2.8 | 4.0±0.0 | ||||
| Muslim | 3.4±1.2 | 29.2±4.9 | 4.3±2.0 | ||||
| Occupation | Farmer | 2.7±1.0 | 0.001 | 26.0±4.0 | <0.0001 | 3.7±1.9 | 0.001 |
| House wife | 2.8±1.1 | 25.8±4.3 | 3.5±1.4 | ||||
| Merchant | 3.4±1.3 | 27.1±4.5 | 4.6±2.0 | ||||
| Teacher | 3.9±1.0 | 28.6±5.5 | 5.2±2.5 | ||||
| Student | 3.3±1.2 | 29.6±5.2 | 4.7±1.9 | ||||
| Daily labor | 3.6±1.1 | 29.4±5.6 | 4.7±2.1 | ||||
| Driver | 3.7±0.6 | 32.3±5.7 | 6.7±0.6 | ||||
| Health worker | 3.5±1.4 | 28.8±4.7 | 5.7±2.6 | ||||
| Others | 3.1±1.2 | 30.8±5.3 | 4.5±2.2 | ||||
Multiple Linear Regression Analyses for Predicting Score of Knowledge, Attitude & Practice
| Variables | B | t | Sig. | 95.0% Confidence Interval for B | |
|---|---|---|---|---|---|
| Lower Bound | Upper Bound | ||||
| Knowledge | |||||
| Constant | 2.679 | 13.124 | 0.000 | 2.277 | 3.081 |
| Education | 0.303 | 5.648 | 0.000 | 0.198 | 0.409 |
| Attitude | |||||
| Constant | 25.694 | 30.511 | 0.000 | 24.034 | 27.353 |
| Education | 1.077 | 4.861 | 0.000 | 0.640 | 1.514 |
| Practice | |||||
| Constant | 3.916 | 10.675 | 0.0000 | 3.193 | 4.639 |
| Education | 0.231 | 2.395 | 0.017 | 0.041 | 0.421 |
Correlation Between KAP
| Variables | Knowledge | Attitude | Practice | N | |
|---|---|---|---|---|---|
| Knowledge | Pearson Correlation | 1 | 0.246** | 0.09 | 232 |
| Sig. (2-tailed) | <0.0001 | 0.174 | |||
| Attitude | Pearson Correlation | 0.246** | 1 | 0.017 | 232 |
| Sig. (2-tailed) | <0.0001 | 0.798 | |||
| Practice | Pearson Correlation | 0.09 | 0.017 | 1 | 232 |
| Sig. (2-tailed) | 0.174 | 0.798 |
Note: **Correlation is significant at the 0.01 level (2-tailed).
Factors that Contribute to Increasing of Antibiotic Resistance
| Factors Contributing to Antibiotic Resistance | Correct N (%) | Incorrect N (%) |
|---|---|---|
| 1. Lack of access to local antibiogram data | 120 (51.7) | 112 (48.3) |
| 2. Widespread or over use of antibiotics in agriculture | 96 (41.4) | 136 (58.6) |
| 3. Self-prescription by patients | 111 (47.8) | 121 (52.2) |
| 4. Bacterial mutations | 118 (50.9) | 114 (49.1) |
| 5. Poor hand washing practice in hospitals | 133 (57.3) | 99 (42.7) |
| 6. Poor hygiene, infection prevention and control practice | 114 (49.1) | 118 (50.9) |
| 7. Lack of rapid and effective diagnostic techniques | 126 (54.3) | 106 (45.7) |
| 8. Use of antimicrobials for animal growth promotion | 128 (55.2) | 104 (44.8) |
| 9. Sub-standard quality of antibiotics | 124 (53.4) | 108 (46.6) |
| 10. Poor awareness on AMR | 130 (56) | 102 (44) |
Interventions that Contribute to Reduce Antibiotic Use and Resistance
| Interventions to Reduce Antibiotic Use and Resistance | Correct N (%) | Incorrect N (%) |
|---|---|---|
| 1. Regular antibiotic surveillance programs | 120 (51.7) | 112 (48.3) |
| 2. Proper isolation of the patient | 133 (57.3) | 99 (42.7) |
| 3. Implementing hygiene, infection prevention and control practices | 139 (59.9) | 93 (40.1) |
| 4. Strict government policy for antibiotics restriction and rational antibiotic use in human and animals | 130 (56) | 102 (44) |
| 5. Reduction of antibiotic use for outpatient setting | 93 (40.1) | 139 (59.9) |
| 6. Develop institutional guideline for antimicrobial use | 134 (57.8) | 98 (42.2) |
| 7. Education on antimicrobial therapy for prescribers | 109 (47) | 123 (53) |
| 8. Establish rapid and effective diagnostic techniques | 129 (55.6) | 103 (44.4) |
| 9. Governments should reward the development of new antibiotics | 134 (57.8) | 98 (42.2) |
| 10. Pharmaceutical companies should develop new antibiotics | 126 (54.3) | 106 (45.7) |
| 11. Increasing the use of complementary treatments (herbs) | 132 (56.9) | 100 (43.1) |