| Literature DB >> 28212400 |
Beata Mazińska1, Izabela Strużycka2, Waleria Hryniewicz1.
Abstract
BACKGROUND: Antimicrobial resistance is a global public health problem. Monitoring the level of knowledge regarding antibiotics is a part of the European Union Community strategy against antimicrobial resistance.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28212400 PMCID: PMC5315279 DOI: 10.1371/journal.pone.0172146
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of respondents compared with the Polish general population.
| Characteristics | Study, Respondents n = 5004 (%) | Polish population 31 December 2011, 38538 |
|---|---|---|
| Male | 2243 (44.8) | 18654.6 (48.4) |
| Female | 2761 (55.2) | 19883.9 (51.6) |
| 18–24 | 513 (10.3) | 3762.2 (12.0) |
| 25–34 | 887 (17.7) | 6381.1 (20.3) |
| 35–44 | 812 (16.2) | 5275.0 (16.8) |
| 45–59 | 1508 (30.1) | 8176.9 (26.0) |
| ≥60 | 1284 (25.7) | 7796.5 (24.8) |
| Primary not completed | - | 354.0 (1.1) |
| Lower secondary and primary | 400 (8.00) | 7094.2 (21.7) |
| Trade school | 960 (19.2) | 7260.7 (22.2) |
| Secondary education | 2195 (43.9) | 9705.6 (29.7) |
| Post-secondary | - | 868.1 (2.7) |
| University education | 1442 (28.8) | 5690.2 (17.4) |
| Refused to answer (unknown) | 7 (0.1) | 1706.8 (5.2) |
| Employed | 2402 (48.0) | 14233 (52.2) |
| Unemployed | 473 (9.5) | 1983 (7.3) |
| Post secondary/university students | 368 (7.4) | 2094.7 (7.7) |
| Retired | 1761 (35.2) | 8970.7 (32.9) |
*As of 31.12.2011 Statistical Yearbook of the Republic of Poland 2012
** Economic activity of the population aged 15 and more. Statistical Yearbook of the Republic of Poland 2012
Reason for last taking of an antibiotic (socio-demographic profile).
| Characteristics | n | Cold n (%) | Adjusted ORs (95% CI) | sig. | Flu n (%) | Adjusted ORs (95% CI) | sig. | Cough n (%) | Adjusted ORs (95% CI) | sig. | Sore throat n (%) | Adjusted ORs (95% CI) | sig. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1919 | 575 (30) | 303 (16) | 294 (15) | 445 (23) | |||||||||
| Male | 810 | 275 (34) | 1 | - | 147 (18) | 1 | - | 125 (15) | 1 | - | 172 (21) | 1 | - |
| Female | 1109 | 300 (27) | 1.34 (1.09-1.64) | 156 (14) | 1.28 (0.99-1.65) | 0.061 | 169 (15) | 0.97 (0.75-1.26) | 0.835 | 273 (25) | 0.82 (0.66-1.02) | 0.076 | |
| 18-24 | 236 | 73 (31) | 1 | - | 62 (26) | 1 | - | 45 (19) | 1 | - | 67 (28) | 1 | - |
| 25-34 | 363 | 120 (33) | 1.39 (0.88-2.22) | 0.161 | 63 (17) | 0.62 (0.37-1.04) | 0.070 | 58 (19) | 0.94 (0.54-1.65) | 0.830 | 84 (23) | 0.75 (0.47-1.22) | 0.253 |
| 35-44 | 292 | 88 (30) | 1.22 (0.74-2.01) | 0.434 | 49 (17) | 0.56 (0.32-0.97) | 41 (14) | 0.77 (0.42-1.41) | 0.395 | 76 (26) | 0.88 (0.53-1.47) | 0.630 | |
| 45-59 | 583 | 170 (29) | 1.18 (0.74-1.9) | 0.483 | 81 (14) | 0.42 (0.25-0.71) | 81 (14) | 0.73 (0.42-1.29) | 0.284 | 129 (22) | 0.72 (0.44-1.17) | 0.181 | |
| ≥60 | 445 | 124 (28) | 1.2 (0.71-2.05) | 0.494 | 48 (11) | 0.33 (0.18-0.62) | 69 (16) | 0.86 (0.45-1.64) | 0.653 | 89 (20) | 0.66 (0.38-1.15) | 0.140 | |
| University education | 547 | 159 (29) | 1 | - | 65 (12) | 1 | - | 68 (12) | 1 | - | 129 (24) | 1 | - |
| Primary education | 162 | 48 (30) | 1.14 (0.76-1.72) | 0.520 | 32 (20) | 1.94 (1.18-3.21) | 30 (19) | 1.62 (0.98-2.67) | 0.057 | 40 (25) | 1.05 (0.68-1.62) | 0.820 | |
| Trade school | 352 | 116 (33) | 1.27 (0.94-1.72) | 0.122 | 72 (20) | 2.02 (1.37-2.97) | 63 (18) | 1.67 (1.13-2.47) | 85 (24) | 1.06 (0.76-1.47) | 0.742 | ||
| Secondary education | 854 | 251 (29) | 1.07 (0.83-1.36) | 0.613 | 133 (16) | 1.38 (0.99-1.92) | 0.061 | 133 (16) | 1.31 (0.95-1.82) | 0.102 | 191 (22) | 0.92 (0.71-1.21) | 0.562 |
| Employed | 895 | 278 (31) | 1 | - | 144 (16) | 1 | - | 133 (15) | 1 | - | 209 (23) | 1 | - |
| Unemployed | 167 | 46 (28) | 0.86 (0.59-1.26) | 0.445 | 32 (19) | 1.06 (0.68-1.65) | 0.808 | 24 (14) | 0.82 (0.5-1.33) | 0.414 | 45 (27) | 1.14 (0.77-1.68) | 0.521 |
| Pupils and students | 188 | 65 (35) | 1.38 (0.86-2.21) | 0.185 | 43 (23) | 0.84 (0.49-1.44) | 0.521 | 36 (19) | 1.06 (0.6-1.89) | 0.838 | 52 (28) | 1.04 (0.63-1.71) | 0.888 |
| Retired | 669 | 186 (28) | 0.88 (0.65-1.18) | 0.398 | 84 (13) | 0.93 (0.63-1.36) | 0.699 | 101 (15) | 0.92 (0.63-1.35) | 0.671 | 139 (21) | 0.95 (0.69-1.31) | 0.756 |
Base: respondents who had taken antibiotics (n = 1919)
*sig.–statistically significant (in bold)
Knowledge about antibiotics (socio-demographic profile).
| Characteristics | Waves 1–5 n | Antibiotics kill viruses (answer YES) | Antibiotics kill bacteria (answer YES) | Antibiotics kill bacteria, antibiotics do not kill viruses (answer YES) | Does imprudent use of antibiotics lead to antimicrobial resistance? (answer YES) | Waves 1–4 n | Antibiotics are effective against cold (answer YES) | Antibiotics are effective against flu (answer YES) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| % | Adjusted ORs (95% CI) | sig. | % | Adjusted ORs (95% CI) | sig. | % | Adjusted ORs (95% CI) | sig. | % | Adjusted ORs (95% CI) | sig. | % | Adjusted ORs (95%CI) | sig. | % | Adjusted ORs (95% CI) | sig. | |||
| 5004 | 60 | 80 | 28 | 86 | 4003 | 36 | 49 | |||||||||||||
| Male | 2243 | 66 | 1 | - | 78 | 1 | - | 23 | 1 | - | 88 | 1 | - | 1812 | 47 | 1 | - | 58 | 1 | - |
| Female | 2761 | 56 | 1.64 (1.44–1.86) | 81 | 0.83 (0.7–0.98) | 32 | 0.59 (0.51–0.68) | 90 | 0.79 (0.66–0.96) | 2191 | 29 | 2.16 (1.88–2.48) | 41 | 2.2 (1.91–2.54) | ||||||
| 18–24 | 513 | 69 | 1 | - | 78 | 1 | - | 21 | 1 | - | 87 | 1 | - | 428 | 44 | 1 | - | 78 | 1 | - |
| 25–34 | 887 | 62 | 1.03 (0.75–1.41) | 0.858 | 81 | 1.39 (0.96–2.03) | 0.081 | 29 | 1.19 (0.84–1.69) | 0.332 | 90 | 1.13 (0.73–1.77) | 0.580 | 730 | 37 | 0.89 (0.64–1.23) | 0.484 | 60 | 0.5 (0.35–0.72) | |
| 35–44 | 812 | 57 | 0.71 (0.51–0.98) | 83 | 1.69 (1.14–2.5) | 34 | 1.96 (1.37–2.80) | 93 | 1.97 (1.21–3.20) | 654 | 35 | 0.7 (0.5–0.98) | 44 | 0.22 (0.15–0.33) | ||||||
| 45–59 | 1508 | 60 | 0.73 (0.53–1) | 80 | 1.62 (1.12–2.34) | 29 | 1.84 (1.30–2.61) | 88 | 1.11 (0.72–1.70) | 0.646 | 1210 | 34 | 0.64 (0.47–0.89) | 43 | 0.2 (0.14–0.29) | |||||
| ≥60 | 1284 | 59 | 0.67 (0.47–0.94) | 77 | 1.45 (0.96–2.18) | 0.075 | 26 | 1.80 (1.23–2.64) | 0.002 | 86 | 0.93 (0.58–1.50) | 0.779 | 981 | 34 | 0.65 (0.46–0.93) | 38 | 0.19 (0.13–0.28) | |||
| University education | 1442 | 45 | 1 | - | 81 | 1 | - | 46 | 1 | - | 94 | 1 | - | 1141 | 27 | 1 | - | 40 | 1 | - |
| Primary education | 400 | 77 | 6.17 (4.51–8.44) | 76 | 0.88 (0.63–1.23) | 0.453 | 9 | 0.11 (0.07–0.17) | 77 | 0.25 (0.18–0.36) | 305 | 49 | 3.05 (2.3–4.05) | 61 | 3.53 (2.62–4.76) | |||||
| Trade school | 960 | 74 | 4.04 (3.3–4.94) | 78 | 0.91 (0.71–1.17) | 0.460 | 13 | 0.18 (0.14–0.23) | 84 | 0.38 (0.28–0.50) | 774 | 48 | 2.45 (1.99–3.01) | 59 | 2.56 (2.08–3.15) | |||||
| Secondary education | 2195 | 62 | 2.14 (1.85–2.48) | 80 | 0.98 (0.8–1.2) | 0.854 | 27 | 0.44 (0.38–0.52) | 90 | 0.60 (0.46–0.78) | 1776 | 34 | 1.45 (1.22–1.33) | 48 | 1.56 (1.32–1.84) | |||||
| Employed | 2402 | 57 | 1 | - | 81 | 1 | - | 33 | 1 | - | 91 | 1 | - | 1924 | 35 | 1 | - | 50 | 1 | - |
| Unemployed | 473 | 68 | 1.31 (1.03–1.66) | 80 | 0.97 (0.72–1.31) | 0.854 | 22 | 0.81 (0.62–1.05) | 0.107 | 85 | 0.72 (0.53–0.97) | 383 | 40 | 1.32 (1.03–1.69) | 0.221 | 58 | 1.32 (1.03–1.69) | |||
| Pupils and students | 368 | 67 | 1 (0.71–1.4) | 0.982 | 80 | 1.15 (0.76–1.74) | 0.496 | 24 | 1.10 (0.76–1.59) | 0.625 | 89 | 1.08 (0.66–1.77) | 0.770 | 311 | 41 | 1.03 (0.7–1.53) | 0.850 | 75 | 1.03 (0.7–1.53) | 0.872 |
| Retired | 1761 | 61 | 1.29 (1.07–1.55) | 78 | 0.92 (0.72–1.17) | 0.474 | 24 | 0.73 (0.59–0.89) | 0.002 | 87 | 0.98 (0.74–1.28) | 0.858 | 1385 | 35 | 0.9 (0.74–1.1) | 0.269 | 39 | 0.9 (0.74–1.1) | 0.316 | |
*sig.–statistically significant (in bold)
Attitudes about antibiotics and expected prescription of an antibiotic (socio-demographic profile).
| Characteristics | Wave 5 (n) | Current use of antibiotics should be restricted in order to keep them effective in the future (%) | Antibiotics should be prescribed and taken “just in case”, with the hope that other equally effective drugs will be developed (%) | Adjusted ORs (95% CI) | sig. | Waves 1–5 (n) | Expected prescription of antibiotic for flu (%) | Adjusted ORs (95% CI) | Sig. | Expected prescription of antibiotic for cold (%) | Adjusted ORs (95% CI) | sig. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1001 | 82 | 15 | 5004 | 41 | 19 | |||||||
| Male | 431 | 79 | 18 | 1 | - | 2243 | 47 | 1 | - | 21 | 1 | - |
| Female | 570 | 84 | 14 | 1.45 (1.01–2.09) | 2761 | 36 | 1.54 (1.36–1.74) | 17 | 1.42 (1.23-1-66) | |||
| 18–24 | 85 | 75 | 24 | 1 | - | 513 | 69 | 1 | - | 17 | 1 | - |
| 25–34 | 157 | 89 | 10 | 0.33 (0.14–0.83) | 887 | 50 | 0.54 (0.41–0.73) | 16 | 1.35 (0.92–1.97) | 0.123 | ||
| 35–44 | 158 | 86 | 13 | 0.45 (0.19–1.08) | 0.074 | 812 | 35 | 0.26 (0.19–0.36) | 16 | 1.17 (0.79–1.73) | 0.431 | |
| 45–59 | 298 | 79 | 19 | 0.63 (0.28–1.41) | 0.260 | 1508 | 37 | 0.28 (0.21–0.38) | 20 | 1.35 (0.93–1.96) | 0.110 | |
| ≥60 | 303 | 82 | 14 | 0.30 (0.12–0.72) | 1284 | 31 | 0.23 (0.16–0.31) | 21 | 1.5 (1.01–2.25) | |||
| University education | 301 | 85 | 14 | 1 | - | 1442 | 34 | 1 | - | 11 | 1 | - |
| Primary education | 95 | 66 | 25 | 1.96 (1.07–3.62) | 400 | 49 | 2.2 (1.72–2.81) | 32 | 3.45 (2.61–4.56) | |||
| Trade school | 186 | 82 | 16 | 0.94 (0.55–1.61) | 0.826 | 960 | 47 | 1.89 (1.58–2.26) | 26 | 2.58 (2.06–3.24) | ||
| Secondary education | 419 | 84 | 14 | 0.84 (0.53–1.31) | 0.434 | 2195 | 41 | 1.38 (1.19–1.59) | 18 | 1.65 (1.35–2.02) | ||
| Employed | 478 | 85 | 14 | 1 | - | 2402 | 41 | 1 | - | 16 | 1 | - |
| Unemployed | 90 | 84 | 11 | 0.68 (0.32–1.45) | 0.316 | 473 | 46 | 1.06 (0.85–1.31) | 0.611 | 24 | 1.37 (1.07–1.77) | |
| Pupils and students | 57 | 77 | 21 | 0.90 (0.34–2.37) | 0.833 | 368 | 67 | 1.15 (0.83–1.58) | 0.403 | 17 | 1.2 (0.8–1.82) | 0.380 |
| Retired | 376 | 79 | 18 | 1.78 (1.09–2.91) | 1761 | 33 | 0.92 (0.77–1.09) | 0.346 | 21 | 1.11 (0.9–1.38) | 0.319 | |
*sig.–statistically significant (in bold)
Impact of the EAAD campaigns on perception and behavior (Waves 1–5).
| Management | Wave 1 October 2009% | Wave 2 December 2009% (change) | Wave 2 vs.1 sig. | Wave 3 October 2010% (change) | Wave 3 vs.1 sig. | Wave 4 December 2010% (change) | Wave 4 vs.1 sig. | Wave 5 December 2011% (change) | Wave 5 vs.1 sig. |
|---|---|---|---|---|---|---|---|---|---|
| Cold | 30 | 33 (↑3) | 0.35 | 38 (↑8) | 28 (↓2) | 0.654 | 21 (↓9) | ||
| Sore throat | 24 | 25 (↑1) | 0.721 | 29 (↑5) | 0.112 | 27 (↑3) | 0.307 | 12 (↓12) | |
| Flu | 16 | 18 (↑2) | 0.465 | 18 (↑2) | 0.658 | 14 (↓2) | 0.341 | 13 (↓3) | 0.124 |
| Cold | 19 | 18 (↓1) | 0.801 | 22 (↑3) | 0.06 | 20 (↑1) | 0.569 | 15 (↓4) | |
| Flu | 43 | 41 (↓2) | 0.345 | 46 (↑3) | 0.143 | 41 (↓2) | 0.319 | 32 (↓11) | |
| 75 | 80 (↑5) | 0.074 | 79 (↑4) | 0.255 | 78 (↑3) | 0.511 | 81 (↑6) | 0.063 | |
| 38 | 39 (↑1) | 0.662 | 52 (↑14) | 47 (↑9) | 48 (↑10) | ||||
| I have limited the use of antibiotics | 27 | 43 (↑16) | 38 (↑11) | 0.073 | 42 (↑15) | 43 (↑16) | |||
| I have become more cautious regarding the use of antibiotics | 4 | 24 (↑20) | 19 (↑15) | 20 (↑16) | 16 (↑12) | ||||
* sig.–statistically significant (in bold), significance obtained using Chi2-test
Impact of the obtained information on perception and behavior.
| n | Antibiotics kill viruses | Expected a prescription of antibiotic | n | Antibiotics are effective against cold | Antibiotics are effective against flu | ||
|---|---|---|---|---|---|---|---|
| Waves 1–5 (answer YES) % | Waves 1–5 (answer YES) Cold % | Waves 1–5 (answer YES) Flu % | Waves 1–4 (answer YES) % | Waves 1–4 (answer YES) % | |||
| 1442 | 49 | 13 | 34 | 1150 | 27 | 38 | |
| 3562 | 65 | 21 | 44 | 2842 | 40 | 53 | |