| Literature DB >> 23849402 |
Nisha Jha1, Omi Bajracharya, P Ravi Shankar.
Abstract
BACKGROUND: Few studies regarding Knowledge, Attitude and Practice (KAP) towards medicines among school teachers have been carried out in Nepal. Obtaining baseline KAP is important to note deficiencies and plan appropriate interventions. School teachers have to know about medicines as they can be an important source of information about rational and safe use of medicines. The department of Clinical Pharmacology, KIST Medical College, Lalitpur, conducted a study regarding KAP of school teachers about medicines before and after an educational intervention from April 2011 to December 2011.Entities:
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Year: 2013 PMID: 23849402 PMCID: PMC3744160 DOI: 10.1186/1471-2458-13-652
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Demographic characteristics of the respondents
| Gender | |
| Male | 191 (48.6) |
| Female | 190 (48.3) |
| Not mentioned | 12 (3.1) |
| Age | |
| Below 20 | 6 (1.5) |
| 21-30 | 190 (48.3) |
| 31-40 | 104 (26.5) |
| 41-50 | 74 (18.8) |
| 51-60 | 7 (1.8) |
| Above 60 | 3 (0.8) |
| Not mentioned | 9 (2.3) |
| Teachers | |
| Primary | 215 (54.7) |
| Secondary | 159 (40.5) |
| Not mentioned | 19 (4.8) |
| Ethnic/caste Group | |
| Brahmin | 56 (14.2) |
| Chettri | 106 (27.0) |
| Newar | 145 (36.9) |
| Janajati | 40 (10.2) |
| Not mentioned | 46 (11.7) |
| Subjects | |
| Nepali | 49 (12.5) |
| Science | 45 (11.5) |
| Maths | 105 (26.7) |
| English | 80 (20.4) |
| Others | 100 (25.4) |
| Not mentioned | 14 (3.5) |
| Qualification | |
| Intermediate | 20 (5.1) |
| Bachelors | 225 (57.3) |
| Masters | 126 (32.1) |
| Not mentioned | 22 (5.6) |
| Type of school | |
| Private | 258 (65.6) |
| Government | 135 (34.4) |
Median knowledge, attitude, practice and overall scores before and after intervention
| Attitude | | |
| Before Intervention | 23 | <0.001 |
| After Intervention | 28 | |
| Knowledge | | |
| Before Intervention | 63 | <0.001 |
| After Intervention | 71 | |
| Practice | | |
| Before Intervention | 270 | 0.528 |
| After Intervention | 270 | |
| Total score | | |
| Before Intervention | 354 | <0.001 |
| After Intervention | 365 |
The scores before and after the intervention were compared using Wilcoxon signed ranks test.
Comparison of median scores among different subgroups of respondents before and after intervention
| Gender * | | | | | | | | | | | | |
| Male | 63 | 70 | <0.001 | 23 | 28 | <0.001 | 262 | 270 | 0.378 | 352 | 365 | <0.001 |
| Female | 63 | 72 | 0.001 | 23 | 28 | <0.001 | 270 | 270 | 0.277 | 356 | 366 | <0.001 |
| Age (in years) Δ | | | | | | | | | | | | |
| Below 20 | 63 | 55.5 | 0.805 | 21.5 | 28.5 | 0.015 | 270 | 270 | 0.592 | 349 | 364 | 0.144 |
| 21–30 | 63 | 70 | <0.001 | 23 | 29 | <0.001 | 270 | 260 | 0.547 | 356 | 358 | 0.046 |
| 31–40 | 63 | 70 | <0.001 | 23 | 27 | <0.001 | 260 | 270 | 0.159 | 346 | 372 | <0.001 |
| 41–50 | 61.5 | 71 | <0.001 | 23 | 27 | <0.001 | 270 | 280 | 0.006 | 356 | 378.5 | <0.001 |
| 51-60 | 63 | 70 | 0.949 | 22 | 23 | 1.000 | 290 | 210 | 0.027 | 363 | 286 | 0.062 |
| Teachers * | | | | | | | | | | | | |
| Primary | 63 | 72 | <0.001 | 23 | 28 | <0.001 | 270 | 270 | 0.440 | 351 | 366 | <0.001 |
| Secondary | 63 | 72 | <0.001 | 24 | 28 | <0.001 | 270 | 270 | 0.423 | 350 | 365 | <0.001 |
| Ethnic/Caste groupΔ | | | | | | | | | | | | |
| Brahmin | 63 | 71.5 | <0.001 | 23 | 29 | <0.001 | 260 | 270 | 0.457 | 348 | 372 | 0.004 |
| Chettri | 63 | 74 | <0.001 | 23 | 28 | <0.001 | 260 | 270 | 0.509 | 351 | 372 | <0.001 |
| Newar | 63 | 68 | <0.001 | 23 | 27 | <0.001 | 210 | 270 | 0.309 | 353 | 363 | 0.030 |
| Others | 64 | 74 | <0.001 | 23 | 28 | <0.001 | 260 | 270 | 0.665 | 325 | 355 | 0.411 |
| Subject taughtΔ | | | | | | | | | | | | |
| Nepali | 63 | 70 | <0.001 | 23 | 29 | <0.001 | 270 | 270 | 0.457 | 355 | 372 | 0.031 |
| Science | 63 | 73 | <0.001 | 23 | 29 | <0.001 | 270 | 290 | 0.455 | 352 | 385 | 0.001 |
| Math | 63 | 72 | <0.001 | 24 | 29 | <0.001 | 270 | 270 | 0.576 | 357 | 365 | 0.211 |
| English | 63 | 67 | <0.001 | 22 | 26.5 | <0.001 | 270 | 270 | 0.945 | 356 | 356 | 0.224 |
| Others | 62.5 | 72 | <0.001 | 22.5 | 27 | <0.001 | 265 | 275 | 0.157 | 349.5 | 371 | <0.001 |
| QualificationsΔ | | | | | | | | | | | | |
| Intermediate | 62.5 | 69 | 0.223 | 23 | 23 | 0.017 | 255 | 270 | 0.895 | 337 | 346 | 0.845 |
| Bachelor | 63 | 70 | <0.001 | 23 | 28 | <0.001 | 270 | 270 | 0.281 | 353 | 362 | <0.001 |
| Master | 62.5 | 71 | <0.001 | 23 | 28.5 | <0.001 | 270 | 270 | 0.452 | 359 | 371 | <0.001 |
| Type of school * | | | | | | | | | | | | |
| Government | 66 | 70 | <0.004 | 22 | 28 | <0.001 | 230 | 270 | 0.148 | 321 | 359 | <0.001 |
| Private | 63 | 71 | <0.001 | 23 | 28 | <0.001 | 270 | 270 | 0.071 | 357 | 369 | <0.001 |
* Mann–Whitney test was used as there were only two subgroups in this category.
Δ Kruskal Wallis test was used as there were more than two subgroups in this category.