Public Health Literacy, Knowledge, and Awareness Regarding Antibiotic Use and Antimicrobial Resistance during the COVID-19 Pandemic: A Cross-Sectional Study
Abstract
:1. Introduction
2. Results
2.1. Characteristics of Study Participants
2.2. Participants’ Health Literacy Levels
2.3. Knowledge of Antibiotic Use among Participants
2.4. Knowledge of Antibiotic Resistance among Participants
2.5. Pattern of Antibiotic Usage in Relation to Knowledge of Antibiotics and Antibiotic Resistance
2.6. Factors Associated with Participants’ Knowledge of Antibiotics and Antibiotic Resistance
2.7. Level of Awareness of Possible Solutions to the Problem of Antibiotic Resistance
2.8. Participants’ Perspectives on the Scope of the Antibiotic Resistance Problem
3. Discussion
3.1. Health Literacy
3.2. Knowledge of Antibiotics and Antibiotic Resistance
3.2.1. Factors Associated with Participants’ Knowledge of Antibiotics and Antibiotic Resistance
3.2.2. The Use of Antibiotics
3.2.3. Implications for Education Campaigns
3.3. Participants’ Awareness of Possible Solutions to the Problem of Antibiotic Resistance
3.4. Participants’ Perspectives on the Scope of the Antibiotic Resistance Problem
3.5. Limitations and Strengths
4. Materials and Methods
4.1. Study Design and Setting
4.2. Survey Instrument
4.3. Statistical Analysis
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variable | n (%) |
---|---|
Age (years) | |
18–24 | 279 (23) |
25–34 | 429 (35.4) |
35–44 | 334 (27.5) |
>45 | 171 (14.1) |
Gender | |
Male | 357 (29.4) |
Female | 856 (70.6) |
Area of Living | |
Urban | 741 (61.1) |
Suburban | 242 (20) |
Rural | 230 (19) |
Family Structure | |
Nuclear family | 607 (50) |
Joint family | 306 (25.2) |
Extended family | 300 (24.7) |
Education Level | |
Up to High School | 256 (21.1) |
Bachelor’s degree | 666 (54.9) |
Postgraduate degree (e.g., MSc, PhD) | 291 (24) |
Employment Status | |
Unemployed | 481 (39.7) |
Employed in nonmedical field | 389 (32.1) |
Employed in medical field | 343 (28.3) |
Family Monthly Income | |
Less than JOD 500 (USD 700) | 399 (32.9) |
JOD 501 (USD 700)–JOD 1000 (USD 1400) | 549 (45.3) |
JOD 1001 (USD 1400)–JOD 1500 (USD 2100) | 147 (12.1) |
Above JOD 1500 (USD 2100) | 118 (9.7) |
Do you have health insurance? | |
Yes | 931 (76.8) |
No | 282 (23.2) |
Have you ever been infected with COVID-19? | |
Yes | 486 (40.1) |
No | 727 (59.9) |
Statements | n (%) |
---|---|
When do you think you should stop taking antibiotics once you’ve begun treatment? | |
When you feel better | 208 (17.1) |
When you’ve taken all of the antibiotics as directed | 989 (81.5) |
Don’t know | 16 (1.3) |
Do you think this statement is “true” or “false”? “It’s okay to use antibiotics that were given to a friend or family member, as long as they were used to treat the same illness.” | |
True | 165 (13.6) |
False | 997 (82.2) |
Don’t know | 51 (4.2) |
Do you think this statement is “true” or “false”? “It’s okay to buy the same antibiotics, or request these from a doctor, if you’re sick and they helped you get better when you had the same symptoms before.” | |
True | 414 (34.1) |
False | 716 (59) |
Don’t know | 83 (6.8) |
Do you think these conditions can be treated with antibiotics? | n of “Yes” Answers (%) |
HIV/AIDS | 57 (4.7) |
Gonorrhea | 173 (14.3) |
Bladder infection or urinary tract infection | 914 (75.4) |
Diarrhea | 202 (16.7) |
Cold and flu | 524 (43.2) |
Fever | 299 (24.6) |
Malaria | 158 (13) |
Measles | 85 (7) |
Skin or wound infection | 805 (66.4) |
Sore throat | 1021 (84.2) |
Body aches | 163 (13.4) |
Headaches | 169 (13.9) |
COVID-19 | 319 (26.3) |
Statement | Correct Answer | n (%) | ||
---|---|---|---|---|
False | I Don’t Know | True | ||
| False | 172 (14.2) | 192 (15.8) | 849 (70.0) |
| True | 149 (12.3) | 222 (18.3) | 842 (69.4) |
| True | 363 (29.9) | 299 (24.6) | 550 (45.3) |
| True | 187 (15.4) | 275 (22.7) | 750 (61.8) |
| False | 568 (46.8) | 394 (32.5) | 250 (20.6) |
| False | 519 (42.8) | 281 (23.2) | 412 (34.0) |
| True | 361 (29.8) | 402 (33.2) | 449 (37.0) |
| True | 76 (6.3) | 304 (25.1) | 832 (68.6) |
Have you heard of any of the following terms before this survey? | n of “Yes” (%) | |||
Antibiotic resistance | 907 (74.8) | |||
Superbugs | 761 (62.7) | |||
Antimicrobial resistance | 583 (48.1) | |||
Drug resistance | 782 (64.5) | |||
Antibiotic-resistant bacteria | 830 (68.4) | |||
Never heard of any of these terms | 139 (11.5) |
Statements | n (%) | Knowledge of Antibiotics (Adequate vs. Inadequate) | Knowledge of Antibiotic Resistance (Adequate vs. Inadequate) | ||
---|---|---|---|---|---|
OR (95% CI) | p-Value | OR (95% CI) | p-Value | ||
When did you last take antibiotics? | |||||
More than a year ago | 188 (15.5) | 3.63 (2.44–5.41) | 0.000 | 2.08 (1.45–2.99) | 0.000 |
Last year | 119 (9.8) | 2.19 (1.42–3.39) | 0.000 | 2.13 (1.39–3.26) | 0.001 |
Six months ago | 365 (30.1) | 1.74 (1.29–2.35) | 0.000 | 1.42 (1.06–1.91) | 0.02 |
One month ago | 344 (28.4) | 1 | 1 | ||
On that occasion, did you get the antibiotics by a prescription from a doctor or nurse? (Appropriate self-medication of antibiotics) | |||||
Yes | 851 (70.2) | 2.01 (1.57–2.58) | 0.000 | 1.31 (1.03–1.68) | 0.03 |
No or can’t remember | 362 (29.8) | 1 | 1 | ||
On that occasion, did you get advice from a doctor, nurse, or pharmacist on how to take them? | |||||
Yes | 889 (73.3) | 1.98 (1.53–2.56) | 0.000 | 1.18 (0.91–1.52) | 0.215 |
No or can’t remember | 324 (26.7) | 1 | 1 | ||
Main sources of self-medication antibiotics (n = 362) | |||||
Pharmacy | 185 (51.1) | ||||
Healthcare centers | 45 (12.4) | ||||
Friends or family | 88 (24.3) | ||||
Using leftover antibiotics | 44 (12.2) |
Variables | Knowledge of Antibiotics (Adequate vs. Inadequate) | Knowledge of Antibiotic Resistance (Adequate vs. Inadequate) | ||||
---|---|---|---|---|---|---|
Standardized β (S.E.) | Adjusted OR (95% CI) | p-Value * | Standardized β (S.E.) | Adjusted OR (95% CI) | p-Value * | |
Age | ||||||
18–24 | 0.9 (0.23) | 2.46 (1.55–3.9) | 0.000 | 0.29 (0.22) | 1.34 (0.87–2.08) | 0.179 |
25–34 | 0.48 (0.22) | 1.61 (1.05–2.49) | 0.029 | 0.29 (0.2) | 1.34 (0.9–1.99) | 0.148 |
35–44 | 0.18 (0.22) | 1.2 (0.77–1.86) | 0.401 | 0.38 (0.2) | 1.46 (0.98–2.18) | 0.062 |
>45 | Reference | Reference | ||||
Gender | ||||||
Male | −0.39 (0.14) | 0.67 (0.5-0.89) | 0.007 | −0.11 (0.17) | 0.89 (0.69–1.14) | 0.364 |
Female (Ref.) | Reference | Reference | ||||
Area of Living | ||||||
Urban | 0.4 (0.17) | 1.5 (1.07–2.10) | 0.018 | 0.98 (0.67–1.41) | 0.928 | 0.269 |
Suburban | −0.04 (0.2) | 0.96 (0.64–1.43) | 0.847 | 1.15 (0.85–01.54) | 0.361 | |
Rural | Reference | Reference | ||||
Employment Status | ||||||
Employed in medical field | 1.12 (0.18) | 3.08 (2.13–4.44) | 0.000 | 1.02 (0.16) | 2.78 (2.00–3.87) | 0.000 |
Employed in nonmedical field | −0.03 (0.16) | 0.96 (0.69–1.33) | 0.822 | −0.03 (0.15) | 0.97 (0.71–1.30) | 0.849 |
Unemployed | Reference | Reference | ||||
Do you have health insurance? | ||||||
Yes | 0.15 (0.15) | 1.16 (0.85–1.57) | 0.332 | 0.32 (0.14) | 1.38 (1.03–1.85) | 0.026 |
No (Ref.) | Reference | Reference | ||||
How do you protect yourself and others from COVID-19? | ||||||
Received antibiotics? | ||||||
Yes (n = 250, 20.6%) | −1.11 (0.18) | 0.31 (0.22–0.45) | 0.000 | −0.29 (0.17) | 0.74 (0.53–1.05) | 0.093 |
No | Reference | Reference | ||||
Received COVID-19 vaccine? | ||||||
Yes (n = 377, 31.1%) | 0.48 (0.15) | 1.62 (1.20–2.18) | 0.002 | 0.22 (0.14) | 1.24 (10.94–1.64) | 0.130 |
No | Reference | Reference | ||||
Health Literacy | ||||||
Adequate (n = 759, 62.6%) | 0.31 (0.13) | 1.37 (1.05–1.77) | 0.017 | 0.38 (0.12) | 1.46 (1.14–1.89) | 0.003 |
Inadequate | Reference | Reference |
Variables | Awareness of Possible Solutions to the Problem of Antibiotic Resistance | Perspectives on the Scope of the Antibiotic Resistance Problem | ||
---|---|---|---|---|
Mean (SD) | p-Value * | Mean (SD) | p-Value * | |
Age | ||||
18–24 | 3.89 (0.97) | 0.004 | 3.42 (0.76) | 0.066 |
25–34 | 3.99 (0.89) | 3.51 (0.70) | ||
35–44 | 3.88 (0.95) | 3.57 (0.70) | ||
>45 | 3.68 (0.94) | 3.49 (0.71) | ||
Gender | ||||
Male | 3.85 (0.99) | 0.271 | 3.45 (0.72) | 0.071 |
Female | 3.92 (0.91) | 3.53 (0.72) | ||
Area of Living | ||||
Urban | 3.95 (0.93) | 0.061 | 3.53 (0.71) | 0.181 |
Suburban | 3.81 (0.95) | 3.46 (0.72) | ||
Rural | 3.82 (0.92) | 3.45 (0.73) | ||
Family Structure | ||||
Nuclear family | 3.89 (0.95) | 0.846 | 3.54 (0.76) | 0.162 |
Joint family | 3.92 (0.95) | 3.48 (0.71) | ||
Extended family | 3.89 (0.9) | 3.45 (0.63) | ||
Education Level | ||||
Up to high school | 3.77 (0.92) | 0.002 | 3.49 (0.77) | 0.489 |
Bachelor’s degree | 3.88 (0.94) | 3.52 (0.73) | ||
Postgraduate degree | 4.05 (0.93) | 3.46 (0.65) | ||
Employment Status | ||||
Employed in medical field | 3.92 (0.96) | 0.156 | 3.57 (0.74) | 0.828 |
Employed in nonmedical field | 3.89 (0.95) | 3.47 (0.7) | ||
Unemployed | 3.88 (0.9) | 3.48 (0.72) | ||
Family Monthly Income | ||||
Less than JOD 500 | 3.89 (0.93) | 0.742 | 3.47 (0.72) | 0.650 |
JOD 501–JOD 1000 | 3.87 (0.96) | 3.52 (0.73) | ||
JOD 1001–JOD 1500 | 3.96 (0.96) | 3.54 (0.73) | ||
Above JOD 1500 | 3.94 (0.81) | 3.5 (0.65) | ||
Do you have health insurance? | ||||
Yes | 3.89 (0.94) | 0.822 | 3.52 (0.72) | 0.157 |
No | 3.91 (0.92) | 3.45 (0.71) | ||
Have you ever been infected with COVID-19? | ||||
Yes | 3.91 (0.91) | 0.614 | 3.50 (0.69) | 0.896 |
No | 3.89 (0.95) | 3.51 (0.74) | ||
Health Literacy | ||||
Adequate | 3.95 (0.93) | 0.011 | 3.54 (0.72) | 0.016 |
Inadequate | 3.81 (0.94) | 3.44 (0.71) | ||
Knowledge of Antibiotics | ||||
Adequate | 3.93 (0.94) | 0.003 | 3.53 (0.71) | 0.001 |
Inadequate | 3.71 (0.91) | 3.34 (0.73) | ||
Knowledge of Antibiotic Resistance | ||||
Adequate | 4.01 (0.99) | 0.000 | 3.63 (0.74) | 0.000 |
Inadequate | 3.78 (0.86) | 3.36 (0.67) |
Subscales | No. of Items | Mean ± SD | Cronbach’s α |
---|---|---|---|
Knowledge of antibiotics | 15 | 9.76 ± 2.06 | 0.67 |
Knowledge of antibiotic resistance | 8 | 4.42 ± 2.03 | 0.65 |
Awareness of possible solutions to the problem of antibiotic resistance | 8 | 3.90 ± 0.97 | 0.94 |
Perspectives on the scope of the antibiotic resistance problem | 6 | 3.51 ± 0.73 | 0.82 |
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Muflih, S.M.; Al-Azzam, S.; Karasneh, R.A.; Conway, B.R.; Aldeyab, M.A. Public Health Literacy, Knowledge, and Awareness Regarding Antibiotic Use and Antimicrobial Resistance during the COVID-19 Pandemic: A Cross-Sectional Study. Antibiotics 2021, 10, 1107. https://doi.org/10.3390/antibiotics10091107
Muflih SM, Al-Azzam S, Karasneh RA, Conway BR, Aldeyab MA. Public Health Literacy, Knowledge, and Awareness Regarding Antibiotic Use and Antimicrobial Resistance during the COVID-19 Pandemic: A Cross-Sectional Study. Antibiotics. 2021; 10(9):1107. https://doi.org/10.3390/antibiotics10091107
Chicago/Turabian StyleMuflih, Suhaib M., Sayer Al-Azzam, Reema A. Karasneh, Barbara R. Conway, and Mamoon A. Aldeyab. 2021. "Public Health Literacy, Knowledge, and Awareness Regarding Antibiotic Use and Antimicrobial Resistance during the COVID-19 Pandemic: A Cross-Sectional Study" Antibiotics 10, no. 9: 1107. https://doi.org/10.3390/antibiotics10091107
APA StyleMuflih, S. M., Al-Azzam, S., Karasneh, R. A., Conway, B. R., & Aldeyab, M. A. (2021). Public Health Literacy, Knowledge, and Awareness Regarding Antibiotic Use and Antimicrobial Resistance during the COVID-19 Pandemic: A Cross-Sectional Study. Antibiotics, 10(9), 1107. https://doi.org/10.3390/antibiotics10091107