| Literature DB >> 25928311 |
Sudesh Gyawali1, Devendra Singh Rathore2, Pathiyil Ravi Shankar3, Vikash K C Kumar4, Manisha Maskey5, Nisha Jha6.
Abstract
BACKGROUND: Previous studies have shown that unsafe injection practice is a major public health problem in Nepal but did not quantify the problem. The present community-based study was planned to: 1) quantify injection usage, 2) identify injection providers, 3) explore differences, if any, in injection usage and injection providers, and 4) study and compare people's knowledge and perception about injections between the urban and rural areas of Kaski district.Entities:
Mesh:
Year: 2015 PMID: 25928311 PMCID: PMC4425888 DOI: 10.1186/s12889-015-1775-5
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Comparison of demographic characteristics of the surveyed respondents
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| Gender | Female | 632 (52.84) | 658 (51.65) | 1290 (52.23) | 0.353 (>0.05) |
| Male | 564 (47.14) | 616 (48.35) | 1180 (47.77) | ||
| Age in years | <1 | 3 (0.25) | 10 (0.78) | 13 (0.53) | 20.935 (<0.001) |
| 1 to 4 | 50 (4.18) | 61 (4.79) | 111 (4.49) | ||
| 5 to14 | 214 (17.89) | 222 (17.43) | 436 (17.65) | ||
| 15 to 60 | 849 (70.99) | 837 (65.70) | 1686 (68.26) | ||
| >60 | 80 (6.69) | 144 (11.30) | 224 (9.07) | ||
| Literacy | Illiterate | 86 (7.19) | 179 (14.05) | 265 (10.73) | 41.922 (<0.001) |
| Literate | 1090 (91.14) | 1048 (82.26) | 2138 (86.56) | ||
| Not applicable** | 20 (1.67) | 47 (3.69) | 67 (2.71) | ||
| Education | Primary | 186 (15.55) | 257 (20.17) | 443 (23.46) | 114.750 (<0.001) |
| Secondary | 353 (29.52) | 405 (31.79) | 758 (40.15) | ||
| Higher secondary | 170 (14.21) | 109 (8.56) | 279 (14.78) | ||
| Graduation | 218 (18.23) | 91 (7.14) | 309 (16.37) | ||
| Post-graduation | 82 (6.86) | 17 (1.33) | 99 (5.24) | ||
| Occupation | Farming | 68 (6.00) | 305 (25.50) | 373 (16.01) | 271.983 (<0.001) |
| Student | 470 (41.45) | 462 (38.63) | 932 (40.00) | ||
| Housewife/ unemployed | 190 (16.75) | 235 (19.65) | 425 (18.24) | ||
| Business | 166 (14.64) | 57 (4.77) | 223 (9.57) | ||
| Private employee | 124 (10.93) | 48 (4.01) | 172 (7.38) | ||
| Government employee | 81 (7.14) | 29 (2.42) | 110 (4.72) | ||
| Others | 35 (3.09) | 60 (5.02) | 95 (4.08) | ||
*Chi-square & p values (two-sided) were calculated by Pearson chi-square test, **Children of age less than or equal to three years are not sent to school so literacy was not applicable to them.
Percentage of injection receivers classified according to age and place of residence
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| 66.67 (3) | 100.00 (10) | 92.30 (13) |
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| 16.00 (50) | 11.47 (61) | 13.51 (111) |
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| 5.14 (214) | 3.60 (222) | 4.36 (436) |
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| 9.42 (849) | 12.19 (837) | 10.79 (1686) |
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| 15.00 (80) | 12.5 (144) | 13.39 (224) |
Percentage of respondents classified by place of residence according to selected demographic characteristics
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| Gender | Male | 213 (60.17) | 206 (57.22) | 419 (58.68) | 0.639 (0.424) |
| Female | 141 (39.84) | 154 (42.78) | 295 (41.32) | ||
| No. of respondents who received injections in last 3 months**. | 92 (25.99) | 119 (33.06) | 211 (29.55) | 4.282 (0.039) | |
| Literacy | Literate | 324 (91.53) | 294 (81.67) | 618 (86.55) | 14.907 (<0.001) |
| Illiterate | 30 (8.47) | 66 (18.33) | 96 (13.45) | ||
| Education# | Primary | 7 (2.43) | 50 (23.36) | 57 (11.35) | 92.714 (<0.001) |
| Secondary | 108 (37.50) | 110 (51.40) | 218 (43.43) | ||
| Higher secondary | 62 (21.53) | 28 (13.08) | 90 (17.93) | ||
| Graduation | 66 (22.91) | 22 (10.28) | 88 (17.53) | ||
| Post-graduation | 45 (15.63) | 4 (1.87) | 49 (9.76) | ||
| Occupation | Farming | 28 (8.14) | 166 (47.16) | 194 (27.87) | 177.276 (<0.001) |
| Student | 26 (7.56) | 12 (3.41) | 38 (5.46) | ||
| Housewife/unemployed | 65 (18.89) | 70 (19.89) | 135 (19.40) | ||
| Business | 96 (27.91) | 41 (11.65) | 137 (19.68) | ||
| Private employee | 54 (15.70) | 13 (3.69) | 67 (9.63) | ||
| Government employee | 52 (15.12) | 13 (3.69) | 65 (9.34) | ||
| Others | 23 (6.68) | 37 (10.51) | 60 (8.62) | ||
*Chi-square and p value (two-sided) were calculated by Pearson chi-square test comparing urban and rural frequencies; **The injection receivers were of age ≥ 15 years; # The percentage was adjusted as per the number of literate in the respective groups.
Injection providers and venue of injection events
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| Injection providers | Formal sector | 171 (69.23) | 180 (85.31) | 351 (76.64) | 18.047 (<0.001) |
| Medical dispenser | 68 (27.53) | 30 (14.22) | 98 (21.40) | ||
| Relative | 4 (1.62) | 0 (0.00) | 4 (0.87) | ||
| Self | 4 (1.62) | 1 (0.47) | 5 (1.09) | ||
| Venue of injection events | Health care facilities | 126 (51.02) | 143 (67.77) | 269 (58.73) | 18.698 (0.001) |
| Clinic | 35 (14.17) | 23 (10.90) | 58 (12.66) | ||
| Medical Shop | 75 (30.36) | 38 (18.01) | 113 (24.67) | ||
| Home | 9 (3.64) | 2 (0.95) | 11 (2.40) | ||
| School** | 2 (0.81) | 5 (2.37) | 7 (1.53) | ||
*Chi-square and p value (two-sided) were calculated by Pearson chi-square test comparing urban and rural frequencies; **During national vaccination programs, schools were also used as a vaccination venue.
Respondents’ knowledge about safe injection practice
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| Unsterile syringe can transmit diseases | Yes | 345 (97.46) | 314 (87.22) | 659 (92.30) | 26.410 (<0.001) |
| No | 0 (0.00) | 1 (0.28) | 1 (0.14) | ||
| Don’t know | 9 (2.54) | 45 (12.50) | 54 (7.56) | ||
| Sharing syringe can transmit diseases$ | Yes | 341 (96.33) | 317 (88.06) | 658 (92.16) | 16.920 (<0.001) |
| No | 1 (0.28) | 4 (1.11) | 5 (0.70) | ||
| Don’t know | 12 (3.39) | 39 (10.83) | 51 (7.14) | ||
| Sharing syringe between family members also transmit diseases$ | Yes | 326 (95.60) | 304 (95.90) | 630 (95.74) | 0.653 (>0.05) |
| No | 8 (2.35) | 5 (1.58) | 13 (1.98) | ||
| Don’t know | 7 (2.05) | 8 (2.52) | 15 (2.28) | ||
*Chi-square & p value (two-sided) were calculated by Pearson chi-square test.
Peoples’ knowledge about diseases that might be transmitted through unsterile syringes
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| HIV/ AIDS | 291 (84.35) | 221 (70.38) | 512 (77.69) | 18.500 (<0.001) |
| Hepatitis/ Jaundice | 77 (22.32) | 14 (4.46) | 91 (13.81) | 44.057 (<0.001) |
| Tetanus | 62 (17.97) | 25 (7.96) | 87 (13.20) | 14.372 (<0.001) |
| Tuberculosis | 40 (11.59) | 29 (9.24) | 69 (10.47) | 0.975 (>0.05) |
| Malaria | 14 (4.06) | 12 (3.82) | 26 (3.95) | 0.024 (>0.05) |
| Hepatitis B | 10 (2.90) | 1 (0.32) | 11 (1.67) | 6.667 (<0.05) |
| Hepatitis C | 3 (0.87) | 0 (0.00) | 3 (0.46) | 2.743 (>0.05) |
| Other diseases | 53 (15.36) | 13 (4.14) | 66 (21.02) | 22.972 (<0.001) |
#The question was multiple response so the total is more than 100%; *Chi-square and p value (two-sided) were calculated by Pearson chi-square test comparing urban and rural frequencies.