| Literature DB >> 28462275 |
Koh Chee Teck1, Hasanain Faisal Ghazi2, Mohd Ikhwan Bin Ahmad1, Nuraqilah Binti Abdul Samad1, Karen Lai Ee Yu1, Nurul Farhana Binti Ismail1, Muhammad Amirul Aizat Bin Esa1.
Abstract
OBJECTIVES: To assess the knowledge, attitude, and practice of parents regarding antibiotic usage for treating upper respiratory tract infection (URTI) among children.Entities:
Keywords: Malaysia; antibiotic usage; attitude and practice; children’s upper respiratory tract infection; parental knowledge; primary health care
Year: 2016 PMID: 28462275 PMCID: PMC5266440 DOI: 10.1177/2333392816643720
Source DB: PubMed Journal: Health Serv Res Manag Epidemiol ISSN: 2333-3928
Sociodemographic Characteristics of the Respondents.
| Sociodemographic | Frequency | % |
|---|---|---|
| Gender of respondents | ||
| Male | 83 | 25.9 |
| Female | 237 | 74.1 |
| Race | ||
| Malay | 275 | 85.9 |
| Chinese | 33 | 10.3 |
| Indian | 12 | 3.8 |
| Father’s education | ||
| Primary school | 1 | 0.3 |
| Secondary school | 119 | 37.2 |
| Preuniversity | 37 | 11.6 |
| University | 163 | 50.9 |
| Mother’s education | ||
| Primary school | 5 | 1.5 |
| Secondary school | 110 | 34.4 |
| Preuniversity | 62 | 19.4 |
| University | 143 | 44.7 |
| Occupation | ||
| Private | 69 | 21.6 |
| Government | 192 | 60.0 |
| Not working | 59 | 18.4 |
| Median | Interquartile range (IQR) | |
| Age of respondents, years | 32 | 7 |
| Monthly family income, RM | 4125.00 | 3000.00 |
Association of Sociodemographics and Knowledge Level.
| Knowledge |
| POR | 95% CI | ||
|---|---|---|---|---|---|
| Poor, n (%) | Good, n (%) | ||||
| Gender of respondents | |||||
| Female | 162 (68.4) | 75 (31.6) | .643a | 1.138 | 0.658-1.968 |
| Male | 59 (71.1) | 24 (28.9) | |||
| Occupation | |||||
| Private sector | 43 (62.3) | 26 (37.7) | .392a | 1.052 | 0.779-1.422 |
| Government Sector | 136 (70.8) | 56 (29.2) | |||
| Not working | 42 (71.2) | 17 (28.8) | |||
| Father’s educational level | |||||
| Low education | 98 (81.7) | 22 (18.3) | <.001a | 2.789 | 1.620-4.800 |
| High education | 123 (61.5) | 77 (38.5) | |||
| Mother’s educational level | |||||
| Low education | 92 (80.0) | 23 (20.0) | .002a | 2.357 | 1.376-4.035 |
| High education | 129 (62.9) | 76 (37.1) | |||
| Median (IQR) | Median (IQR) | ||||
| Age, years | 32 (8) | 32 (6) | .420b | ||
| Family income, RM | 4000.00 (2100.00) | 5000.00 (4000.00) | .002b | ||
Abbreviations: POR, prevalence odds ratio; CI, confidence interval; IQR, interquartile range.
aA chi-square test was performed; level of significance is at P < .05.
bMann-Whitney U test was performed; level of significance is at P < .05.
Association Between Sociodemographics and Attitude Level.
| Attitude |
| POR | 95% CI | ||
|---|---|---|---|---|---|
| Poor, n (%) | Good, n (%) | ||||
| Gender of respondents | |||||
| Female | 28 (11.8) | 209 (88.2) | .564a | 1.262 | 0.609-2.612 |
| Male | 12 (14.5) | 71 (85.5) | |||
| Occupation | |||||
| Private sector | 7 (10.1) | 62 (89.9) | .795a | 0.665-1.558 | |
| Government sector | 25 (13.0) | 167 (87.0) | |||
| Not working | 8 (13.6) | 51 (86.4) | |||
| Father’s educational level | |||||
| Low education | 19 (15.8) | 101 (84.2) | .163a | 1.603 | 0.823-3.124 |
| High education | 21 (10.5) | 179 (89.5) | |||
| Mother’s educational level | |||||
| High education | 19 (9.3) | 186 (90.7) | .020a | 2.187 | 1.121-4.267 |
| Low education | 21 (18.3) | 94 (81.7) | |||
| Median (IQR) | Median (IQR) | ||||
| Age, years | 31 (5) | 32 (7) | .118b | ||
| Family income, RM | 4350.00 (2000.00) | 4100.00 (3000.00) | .444b | ||
Abbreviations: POR, prevalence odds ratio; CI, confidence interval; IQR, interquartile range.
aChi-square test was performed, level of significant is at P < .05.
bMann-Whitney U test was performed, level of significant is at P < .05.
Association Between Sociodemographics and Practice Statements.
| Questiona | Sociodemography | Frequency | χ2 |
| ||||
|---|---|---|---|---|---|---|---|---|
| Always (%) | Most of the times (%) | Often (%) | Sometimes (%) | Never (%) | ||||
| Q29b | Gender of respondents | |||||||
| Male | 26 (31.3) | 22 (26.5) | 17 (20.5) | 12 (14.5) | 6 (7.2) | 11.301 | .023 | |
| Female | 35 (14.8) | 79 (33.3) | 53 (22.4) | 44 (18.6) | 26 (11.0) | |||
| Occupation | ||||||||
| Private Sector | 15 (21.7) | 24 (34.8) | 13 (18.8) | 10 (14.5) | 7 (10.1) | 14.113 | .079 | |
| Government Sector | 32 (16.7) | 66 (34.4) | 48 (25.0) | 31 (16.1) | 15 (7.8) | |||
| Not working | 14 (23.7) | 11 (18.6) | 9 (15.3) | 15 (15.4) | 10 (16.9) | |||
| Father’s education | ||||||||
| Low education | 26 (21.7) | 33 (27.5) | 26 (21.7) | 23 (19.2) | 12 (10.0) | 1.996 | .737 | |
| High education | 35 (17.5) | 68 (34.0) | 44 (22.0) | 33 (16.5) | 20 (10.0) | |||
| Mother’s education | ||||||||
| Low education | 26 (22.6) | 31 (27.0) | 24 (20.9) | 22 (19.1) | 12 (10.4) | 2.780 | .595 | |
| High education | 35 (17.1) | 70 (34.1) | 46 (22.4) | 34 (16.6) | 20 (9.8) | |||
| Q30c | Gender of respondents | |||||||
| Male | 20 (24.1) | 19 (22.9) | 10 (12.0) | 17 (20.5) | 17 (20.5) | 12.843 | .012 | |
| Female | 44 (18.6) | 26 (11.0) | 59 (24.9) | 63 (26.6) | 45 (19.0) | |||
| Occupation | ||||||||
| Private sector | 14 (20.3) | 12 (17.4) | 15 (21.7) | 15 (21.7) | 13 (18.8) | 11.606 | .170 | |
| Government sector | 40 (20.8) | 28 (14.6) | 43 (22.4) | 52 (27.1) | 29 (15.1) | |||
| Not working | 10 (16.9) | 5 (8.5) | 11 (18.6) | 13 (22.0) | 20 (33.9) | |||
| Father’s education | ||||||||
| Low education | 24 (20.0) | 25 (20.8) | 6 (5.0) | 35 (29.2) | 30 (25.0) | 35.154 | <.001 | |
| High education | 40 (20.0) | 20 (10.0) | 63 (31.5) | 45 (22.5) | 32 (16.0) | |||
| Mother’s education | ||||||||
| Low education | 24 (20.9) | 17 (14.8) | 14 (12.2) | 29 (25.2) | 31 (27.0) | 12.801 | .012 | |
| High education | 40 (19.5) | 28 (13.7) | 55 (26.8) | 51 (24.9) | 31 (15.1) | |||
| Q31d | Gender of respondents | |||||||
| Male | 30 (36.1) | 14 (16.9) | 9 (10.8) | 7 (8.4) | 23 (27.7) | 17.330 | .002 | |
| Female | 74 (31.2) | 68 (28.7) | 37 (15.6) | 32 (13.5) | 26 (11.0) | |||
| Occupation | ||||||||
| Private sector | 25 (36.2) | 16 (23.2) | 9 (13.0) | 10 (14.5) | 9 (13.0) | 11.349 | .183 | |
| Government sector | 53 (27.6) | 58 (30.2) | 30 (15.6) | 20 (10.4) | 31 (16.1) | |||
| Not working | 26 (44.1) | 8 (13.6) | 7 (11.9) | 9 (15.3) | 9 (15.3) | |||
| Father’s education | ||||||||
| Low education | 57 (47.5) | 15 (12.5) | 20 (16.7) | 9 (7.5) | 19 (15.8) | 30.397 | <.001 | |
| High education | 47 (23.5) | 67 (33.5) | 26 (13.0) | 30 (15.0) | 30 (15.0) | |||
| Mother’s education | ||||||||
| Low education | 49 (42.6) | 15 (13.0) | 16 (13.9) | 14 (12.2) | 21 (18.3) | 17.779 | .001 | |
| High education | 55 (26.8) | 67 (32.7) | 30 (14.6) | 25 (12.2) | 28 (13.7) | |||
| Q32e | Gender of respondents | |||||||
| Male | 20 (24.1) | 15 (18.1) | 6 (7.2) | 8 (9.6) | 34 (41.0) | 12.809 | .012 | |
| Female | 34 (14.3) | 49 (20.7) | 42 (17.7) | 41 (17.3) | 71 (30.0) | |||
| Occupation | ||||||||
| Private sector | 10 (14.5) | 14 (20.3) | 9 (13.0) | 11 (15.9) | 25 (36.2) | 4.928 | .765 | |
| Government sector | 34 (17.7) | 37 (19.3) | 34 (17.7) | 30 (15.6) | 57 (29.7) | |||
| Not working | 10 (16.9) | 13 (22.0) | 5 (8.5) | 8 (13.6) | 23 (39.0) | |||
| Father’s education | ||||||||
| Low education | 22 (18.3) | 28 (23.3) | 5 (4.2) | 20 (16.7) | 45 (37.5) | 17.847 | .001 | |
| High education | 32 (16.0) | 36 (18.0) | 43 (21.5) | 29 (14.5) | 60 (30.0) | |||
| Mother’s education | ||||||||
| Low education | 22 (19.1) | 26 (22.6) | 9 (7.8) | 18 (15.7) | 40 (34.8) | 7.537 | .110 | |
| High education | 32 (15.6) | 38 (18.5) | 39 (19.0) | 31 (15.1) | 65 (31.7) | |||
| Q33f | Gender of respondents | |||||||
| Male | 21 (25.3) | 26 (31.3) | 7 (8.4) | 14 (16.9) | 15 (18.1) | 15.551 | .004 | |
| Female | 55 (23.2) | 79 (33.3) | 32 (13.5) | 59 (24.9) | 12 (5.1) | |||
| Occupation | ||||||||
| Private sector | 17 (24.6) | 29 (42.0) | 4 (5.8) | 16 (23.2) | 3 (4.3) | 13.860 | .085 | |
| Government sector | 41 (21.4) | 63 (32.8) | 29 (15.1) | 39 (20.3) | 20 (10.45) | |||
| Not working | 18 (30.5) | 13 (22.0) | 6 (10.2) | 18 (30.5) | 4 (6.8) | |||
| Father’s education | ||||||||
| Low education | 33 (27.5) | 33 (27.5) | 9 (7.5) | 32 (26.7) | 13 (10.8) | 8.806 | .066 | |
| High education | 43 (21.5) | 72 (36.0) | 30 (15.0) | 41 (20.5) | 14 (7.0) | |||
| Mother’s education | ||||||||
| Low education | 34 (29.6) | 33 (28.7) | 12 (10.4) | 25 (21.7) | 11 (9.6) | 4.297 | .367 | |
| High education | 42 (20.5) | 72 (35.1) | 27 (13.2) | 48 (23.4) | 16 (7.8) | |||
| Age | Family Monthly Income | |||||||
| Questiong | Frequency | Median (IQR, years) | Test |
| Median (IQR, RM) | Test |
| |
| Q29b | Always | 32.00 (6) | 2.678 | .613 | 4000.00 (3400.00) | 8.394 | .078 | |
| Most of the time | 32.00 (7) | 4800.00 (2929.00) | ||||||
| Often | 32.00 (6) | 4000.00 (2000.00) | ||||||
| Sometimes | 31.00 (8) | 4250.00 (4000) | ||||||
| Never | 33.00 (8) | 4000.00 (2375.00) | ||||||
| Q30c | Always | 32.00 (7) | 1.975 | .740 | 4125.00 (2000.00) | 13.847 | .008 | |
| Most of the time | 32.00 (9) | 4000.00 (.3500.00) | ||||||
| Often | 33.00 (6) | 5000.00 (2500.00) | ||||||
| Sometimes | 31.00 (7) | 4000.00 (3500) | ||||||
| Never | 32.00 (8) | 4000.00 (2150.00) | ||||||
| Q31d | Always | 33.00 (8) | 2.848 | .584 | 3500.00 (2450.00) | 26.618 | <.001 | |
| Most of the time | 32.00 (6) | 5000.00 (3000.00) | ||||||
| Often | 34.00 (6) | 4000.00 (200.00) | ||||||
| Sometimes | 31.00 (4) | 4000.00 (2500.00) | ||||||
| Never | 31.00 (7) | 4500.00 (2500.00) | ||||||
| Q32e | Always | 34.00 (7) | 9.078 | .059 | 4050.00 (2250.00) | 11.815 | .019 | |
| Most of the time | 31.00 (5) | 4000.00 (3000.00) | ||||||
| Often | 33.00 (6) | 5000.00 (1875.00) | ||||||
| Sometimes | 32.00 (7) | 4000.00 (3000.00) | ||||||
| Never | 32.00 (7) | 4000.00 (3050.00) | ||||||
| Q33f | Always | 32.00 (8) | 4.203 | .379 | 4000.00 (2000.00) | 9.817 | .044 | |
| Most of the time | 33.00 (8) | 4500.00 (2500.00) | ||||||
| Often | 32.00 (7) | 4000.00 (4500.00) | ||||||
| Sometimes | 33.00 (6) | 3942.00 (2000.00) | ||||||
| Never | 31.00 (5) | 4000.00 (2500.00) | ||||||
Abbreviation: IQR, interquartile range.
aA chi-square test was performed, level of significant is at P < .05.
bQ29: How often do you ask your pediatrician whether or not the prescription of antibiotics is necessary?
cQ30: How often do you ask directly your pediatrician to prescribe antibiotics?
dQ31: How often do you completely follow all the pediatrician’s instructions and advice?
eQ32: How often do you insist on your pediatrician’s prescribing antibiotics as a precaution even if any diagnosis is not confirmed?
fQ33: How often does your pediatrician inform you about your child’s disease and notifies you whether it is necessary or not to receive antibiotics?
gA Kruskal Wallis test was performed, level of significant is at P < .05.