| Literature DB >> 35742513 |
Elena Narcisa Pogurschi1, Carmen Daniela Petcu2, Alexandru Eugeniu Mizeranschi3, Corina Aurelia Zugravu4, Daniela Cirnatu5, Ioan Pet6, Oana-Mărgărita Ghimpețeanu2.
Abstract
Considering the major limitations of the latest studies conducted in Romania on the knowledge, attitudes and practices (KAPs) of antibiotic use and antibiotic resistance, we conducted this study to assess this major public health threat. A cross-sectional survey based on a validated questionnaire was conducted among the general population of Romania for a period of 5 months, i.e., September 2021-January 2022. The questionnaire was distributed using Google Form and it covered demographic characteristics and KAP assessments consisting of 12 items on knowledge, 10 items on attitudes and 3 items on practices. Latent class analyses (LCAs) were conducted to group respondents based on their responses. The response rate was 77%, of which females responded in a greater number (n = 1251) compared to males (n = 674). For most of the respondents (67.32%, n = 1296), the education level was high school, while 23.58% (n = 454) of respondents were college graduates. One in three Romanians (33.3%) know the WHO predictions related to this topic. Overall, the Romanian population is less disciplined when it comes to completing antibiotic treatments, as 29.19% of the respondents stop the course of antibiotic administration if their symptoms improve. The key findings from the present study may help policy makers in designing targeted interventions to decrease confusion, ambiguity or misconceptions about antibiotic use.Entities:
Keywords: antibiotics; antimicrobial resistance; attitudes; knowledge; practices
Mesh:
Substances:
Year: 2022 PMID: 35742513 PMCID: PMC9224212 DOI: 10.3390/ijerph19127263
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Demographic characteristics of the respondents.
| Variables | N | % | |
|---|---|---|---|
| Age (years) | 18–24 | 1332 | 69.19 |
| 25–34 | 301 | 15.64 | |
| 35–44 | 140 | 7.27 | |
| 45–54 | 124 | 6.44 | |
| 55–64 | 23 | 1.19 | |
| ≥60 | 5 | 0.26 | |
| Gender | Male | 674 | 35.01 |
| Female | 1251 | 64.99 | |
| Education level | Secondary | 20 | 1.04 |
| High school | 1296 | 67.32 | |
| Graduate | 454 | 23.58 | |
| Postgraduate | 155 | 8.05 | |
| Civil status | Married | 309 | 16.05 |
| In a relationship | 842 | 43.74 | |
| Single | 774 | 40.21 | |
| Monthly income | <RON 1500 (EUR 300) * | 446 | 23.17 |
| RON 1501–3000 (EUR 301–600) | 408 | 21.19 | |
| RON 3001–4500 (EUR 601–900) | 193 | 10.03 | |
| RON 4500 (EUR 900) | 164 | 8.52 | |
| Undisclosed | 714 | 37.09 | |
* Exchange rate: 1 EURO = 5 RON.
Respondents’ knowledge related to antibiotics efficacy, mode of action and antibiotic resistance.
| Statement | Agree | Unsure | Disagree | |
|---|---|---|---|---|
| Antibiotics kill bacteria | AK01 | 22.23% | 35.38% | 42.39% |
| Antibiotics treat the majority of diseases | AK02 | 26.49% | 24.31% | 49.19% |
| Antibiotics treat viral infections | AK03 | 37.51% | 29.61% | 32.88% |
| Antibiotics reduce pain and inflammation | AK04 | 52.31% | 16.52% | 31.17% |
| Antibiotics significantly reduce fever | AK05 | 47.27% | 22.55% | 30.18% |
| Antibiotics help a lot with dental pain | AK06 | 47.12% | 21.66% | 31.22% |
| Excessive antibiotic use leads to AMR | AK07 | 53.87% | 24.31% | 21.82% |
| Antibiotics can cause allergies | AK08 | 73.77% | 24.21% | 2.03% |
| Antibiotics have side effects | AK09 | 81.77% | 16.52% | 1.71% |
| Antibiotic treatment may be discontinued when symptoms have disappeared | AK10 | 24.99% | 17.66% | 57.35% |
| Animal products can contain antibiotic residues, which may increase AMR when entering the human body | AK11 | 40.57% | 47.95% | 11.48% |
| The latest WHO prognoses estimate that, by 2050, antibiotic-resistant microorganisms will kill more people than cancer | AK12 | 33.3% | 62.18% | 4.52% |
Figure 1Knowledge regarding antibiotics efficacy, mode of action and antibiotic resistance.
Multinomial logistic regression analysis of factors influencing KAPs of antibiotics use and antibiotics resistance among respondents.
| Predictor Level | Knowledge (AK) | Attitudes (AC) | Practices (AU) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| OR (Class 2/1) | CI |
| OR (Class 2/1) | CI |
| OR (Class 2/1) | CI |
| ||
| Age | 18–24 | 1 | 1 | 1 | ||||||
| 25–34 | 0.736 | 0.545–0.993 |
| 0.489 | 0.344–0.689 |
| 0.827 | 0.563–1.197 | 0.322 | |
| 35–44 | 0.436 | 0.283–0.668 |
| 0.256 | 0.137–0.451 |
| 0.503 | 0.258–0.916 |
| |
| 45–54 | 0.433 | 0.261–0.711 |
| 0.227 | 0.101–0.466 |
| 0.898 | 0.459–1.694 | 0.746 | |
| 55–64 | 0.244 | 0.068–0.689 |
| 0.818 | 0.251–2.272 | 0.715 | 1.423 | 0.437–3.963 | 0.523 | |
| >65 | 0.499 | 0.064–3.086 | 0.453 | 0.463 | 0.023–3.407 | 0.503 | 0 | NA | 0.972 | |
| Sex | Male | 1 | 1 | 1 | ||||||
| Female | 0.57 | 0.465–0.699 |
| 0.449 | 0.361–0.558 |
| 0.919 | 0.717–1.182 | 0.508 | |
| Education | Secondary | 1 | 1 | 1 | ||||||
| High school | 0.207 | 0.047–0.639 |
| 0.378 | 0.14–1.008 |
| 1.827 | 0.515–11.617 | 0.424 | |
| Graduate | 0.161 | 0.036–0.504 |
| 0.353 | 0.129–0.96 |
| 2.19 | 0.606–14.049 | 0.303 | |
| Postgraduate | 0.092 | 0.02–0.305 |
| 0.34 | 0.112–1.018 | 0.053 | 2.031 | 0.515–13.594 | 0.373 | |
| Civil Status | Married | 1 | 1 | 1 | ||||||
| In a relationship | 1.155 | 0.818–1.63 | 0.411 | 1.584 | 1.006–2.539 | 0.051 | 1.815 | 1.128–2.977 |
| |
| Single | 1.116 | 0.785–1.583 | 0.541 | 2.155 | 1.37–3.451 |
| 2.076 | 1.287–3.41 |
| |
| Income | <RON 1500 | 1 | 1 | 1 | ||||||
| RON 1501–3000 | 1.356 | 1.02–1.804 |
| 1.6 | 1.162–2.204 |
| 1.52 | 1.07–2.163 |
| |
| RON 3001–4500 | 1.279 | 0.875–1.875 | 0.205 | 1.813 | 1.172–2.79 |
| 1.17 | 0.709–1.899 | 0.53 | |
| >RON 4500 | 1.205 | 0.786–1.85 | 0.394 | 1.756 | 1.064–2.875 |
| 1.528 | 0.897–2.566 | 0.113 | |
| Undisclosed | 1.137 | 0.889–1.454 | 0.307 | 1.65 | 1.256–2.175 |
| 1.103 | 0.805–1.52 | 0.546 | |
ORs: odds ratios; CIs: 95% confidence intervals; p: p-value.
Respondents’ attitude towards antibiotics consumption.
| Statement | Agree | Unsure | Disagree | |
|---|---|---|---|---|
| I always try to have an antibiotic in the house | AC01 | 52.73% | 8.62% | 38.65% |
| If a family member feels unwell, I usually give them an antibiotic | AC02 | 8.42% | 7.95% | 83.64% |
| If I have a few antibiotic pills left, I will use them with confidence for the following similar symptoms | AC03 | 21.19% | 11.22% | 67.58% |
| I use antibiotics according to the instructions for use | AC04 | 83.32% | 5.14% | 11.53% |
| Even if the shelf life has expired, antibiotics can still be used for up to one year | AC05 | 5.04% | 18.18% | 76.78% |
| I most often use antibiotics when the symptoms are cold/flu | AC06 | 30.13% | 10.44% | 59.43% |
| I most often use antibiotics when the symptoms are related to toothache | AC07 | 30.29% | 15.48% | 54.23% |
| I most often use antibiotics when the symptoms are related to gastrointestinal disorders | AC08 | 9.19% | 21.19% | 69.61% |
| When I feel better, I stop using antibiotics | AC09 | 29.19% | 11.84% | 58.96% |
| I need to pay close attention to the kind of food I eat when using antibiotics. There are many interactions between antibiotics and food consumed | AC10 | 57.3% | 32% | 10.7% |
Figure 2Attitudes towards antibiotic consumption.
Respondents’ antibiotic use practices.
| Statement | Frequency | Percentage | |
|---|---|---|---|
| 1. How do you use antibiotics? | AU01 | ||
| Only on the doctor’s prescription | 1518 | 78.86 | |
| When I feel sick, with or without a doctor’s prescription | 198 | 10.29 | |
| On the advice of the pharmacist | 74 | 3.84 | |
| From the experience of acquaintances/friends | 135 | 7.01 | |
| 2. When you feel bad, the first impulse is: | AU02 | ||
| To go to a medical consultation | 1036 | 53.82 | |
| To inform someone about your symptoms from the information on the Internet | 576 | 29.92 | |
| To use antibiotics based on personal experience or knowledge | 164 | 8.52 | |
| To ask the pharmacist for advice | 149 | 7.74 | |
| 3. How long after the onset of a disease symptom do you use antibiotics? | AU03 | ||
| Immediately, the passage of time does not help at all | 200 | 10.39 | |
| 1–2 days after the onset of symptoms | 230 | 11.95 | |
| Only after I went to the doctor and received the prescription | 1382 | 71.79 | |
| More than 4 days after the onset of symptoms | 113 | 5.87 |
Figure 3Respondents’ antibiotic use practices.