| Literature DB >> 32978196 |
In Han Song1,2, Elizabeth Palley3, Madhu Sudhan Atteraya4.
Abstract
OBJECTIVE: To investigate the effect of different aspects of inequality on childhood immunisation rates in Nepal. The study hypothesised that social inequality factors (eg, gender of a child, age of mother, caste/ethnic affiliation, mother's socioeconomic status, place of residence and other structural barrier factors such as living in extreme poverty and distance to health facility) affect the likelihood of children being immunised.Entities:
Keywords: child protection; community child health; paediatric infectious disease & immunisation; public health
Mesh:
Year: 2020 PMID: 32978196 PMCID: PMC7520859 DOI: 10.1136/bmjopen-2020-037646
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Childhood immunisation by the vaccine type
| Vaccination | A BCG vaccine | Three polio vaccines | Three DPT vaccine | A measles vaccine | Complete immunisation |
| % vaccinated | 97.7 | 88.6 | 87.4 | 91.1 | 79.2 |
| Gender of the child | |||||
| Male | 98.2 | 88.4 | 86.5 | 91.1 | 78.1 |
| Female | 96.9 | 88.8 | 88.6 | 91.4 | 80.6 |
| Age of the mother | |||||
| 15–19 | 98.3 | 89.3 | 86.0 | 94.2 | 80.2 |
| 20–29 | 97.9 | 88.6 | 87.5 | 90.4 | 79.0 |
| 30–39 | 96.5 | 88.3 | 87.7 | 93.6 | 80.1 |
| 40–49 | 95.2 | 85.7 | 90.5 | 81.0 | 71.4 |
| Caste/ethnic affiliation | |||||
| High Hindu caste | 99.7 | 91.1 | 92.5 | 96.1 | 85.2 |
| Previously untouchables | 97.0 | 88.1 | 87.5 | 88.6 | 74.9 |
| Indigenous | 97.5 | 90.4 | 89.8 | 95.0 | 84.8 |
| Terai caste, Muslims | 95.6 | 83.0 | 77.3 | 81.2 | 66.4 |
| Mother’s education | |||||
| None | 96.7 | 84.4 | 83.8 | 84.1 | 70.8 |
| Primary | 97.1 | 89.4 | 87.0 | 91.3 | 77.3 |
| Secondary and higher | 98.4 | 90.7 | 89.7 | 95.3 | 84.9 |
| Wealth status | |||||
| Poorest | 98.0 | 85.8 | 88.2 | 92.5 | 77.6 |
| Poor | 97.0 | 88.7 | 87.8 | 91.3 | 80.0 |
| Middle | 97.8 | 86.5 | 83.4 | 86.5 | 74.0 |
| Richer | 98.6 | 93.3 | 89.0 | 94.7 | 84.6 |
| Richest | 96.3 | 89.9 | 89.9 | 90.8 | 81.7 |
| Ecological region | |||||
| Mountain | 98.9 | 80.5 | 85.1 | 94.3 | 72.4 |
| Hill | 98.8 | 92.5 | 93.2 | 96.0 | 86.5 |
| Terai | 96.5 | 86.4 | 82.9 | 86.6 | 74.2 |
| Place of residence | |||||
| Urban | 97.8 | 89.1 | 87.0 | 91.1 | 79.3 |
| Rural | 97.5 | 88.0 | 88.0 | 91.2 | 79.0 |
| Provinces | |||||
| Province 1 | 97.2 | 85.1 | 85.8 | 96.5 | 79.4 |
| Province 2 | 96.0 | 82.5 | 77.8 | 80.8 | 65.7 |
| Province 3 | 98.1 | 92.5 | 92.5 | 95.3 | 86.0 |
| Province 4 | 100 | 96.7 | 94.3 | 97.6 | 91.9 |
| Province 5 | 98.3 | 96.1 | 90.4 | 87.0 | 79.7 |
| Province 6 | 97.9 | 86.1 | 84.7 | 94.4 | 77.1 |
| Province 7 | 97.0 | 89.6 | 91.8 | 94.0 | 83.6 |
| Money needed to visit a healthcare facility | |||||
| Not a big problem | 98.6 | 91.1 | 93.5 | 96.2 | 86.8 |
| Big problem | 97.0 | 86.9 | 83.3 | 87.8 | 74.0 |
| Distance to health facility | |||||
| Not a big problem | 98.2 | 92.0 | 91.3 | 94.9 | 84.6 |
| Big problem | 97.3 | 86.5 | 95.1 | 86.0 | 75.9 |
BCG, Bacillus Calmette-Guerin; DPT, diphtheria-tetanus-pertussis.
Descriptive characteristics of the sample and bivariate association between independent variables and complete childhood immunisation (N=1025)
| Variables | All population | Three polio vaccines | Three DPT vaccines | A measles vaccine | Completely immunised | |||||
| N | (%) | Yes (N) | % | Yes (N) | % | Yes (N) | % | Yes (N) | % | |
| Gender of the child | ||||||||||
| Male | 570 | 55.6 | 504 | 88.4 | 493 | 86.5 | 519 | 91.1 | 145 | 78.1 |
| Female | 455 | 44.4 | 404 | 88.8 | 403 | 88.6 | 415 | 91.4 | 366 | 80.6 |
| Age of the mother | ||||||||||
| 25–19 | 121 | 11.8 | 108 | 89.3 | 104 | 86.0 | 114 | 94.2 | 97 | 80.2 |
| 20–29 | 712 | 69.5 | 631 | 88.6 | 623 | 87.5 | 643 | 90.4 | 562 | 79.0 |
| 30–39 | 171 | 16.7 | 151 | 88.3 | 150 | 87.7 | 160 | 93.6 | 137 | 80.1 |
| 40–49 | 21 | 2.0 | 18 | 85.7 | 19 | 90.5 | 17 | 81.0 | 15 | 71.4 |
| Caste/ethnic affiliation | ** | **** | **** | **** | ||||||
| High Hindu caste | 305 | 29.8 | 278 | 91.1 | 282 | 92.5 | 293 | 96.1 | 260 | 82.5 |
| Previously untouchables | 168 | 16.4 | 148 | 88.1 | 147 | 87.5 | 148 | 88.6 | 125 | 74.9 |
| Indigenous | 232 | 31.5 | 292 | 90.4 | 290 | 89.8 | 307 | 95.0 | 274 | 84.8 |
| Terai caste, Muslims | 299 | 22.3 | 190 | 83.0 | 177 | 77.3 | 186 | 81.2 | 152 | 66.4 |
| Mother’s education | ** | ** | **** | **** | ||||||
| None | 302 | 29.5 | 255 | 84.4 | 253 | 83.9 | 253 | 84.1 | 213 | 70.8 |
| Primary education | 207 | 20.2 | 185 | 89.4 | 180 | 87.0 | 189 | 91.3 | 160 | 77.3 |
| Secondary and higher | 516 | 50.3 | 468 | 90.7 | 463 | 89.7 | 492 | 95.3 | 438 | 84.9 |
| Wealth status | ** | * | ||||||||
| Poorest | 254 | 24.8 | 218 | 85.8 | 224 | 88.2 | 235 | 92.5 | 197 | 77.6 |
| Poor | 230 | 22.4 | 204 | 88.7 | 202 | 87.8 | 210 | 91.3 | 184 | 80.0 |
| Middle | 223 | 21.8 | 193 | 86.5 | 186 | 83.4 | 193 | 86.5 | 165 | 74.0 |
| Richer | 209 | 20.4 | 195 | 93.3 | 186 | 89.0 | 197 | 94.7 | 176 | 84.6 |
| Richest | 109 | 10.6 | 98 | 89.9 | 98 | 89.9 | 99 | 90.8 | 89 | 81.7 |
| Ecological region | **** | **** | **** | **** | ||||||
| Mountain | 87 | 8.5 | 70 | 80.5 | 74 | 85.1 | 82 | 94.3 | 63 | 72.4 |
| Hill | 429 | 41.9 | 398 | 92.8 | 400 | 93.2 | 412 | 96.0 | 371 | 86.5 |
| Terai | 509 | 49.7 | 440 | 86.4 | 422 | 82.9 | 440 | 86.6 | 377 | 74.2 |
| Place of residence | ||||||||||
| Urban | 585 | 57.1 | 521 | 89.1 | 509 | 87.0 | 533 | 91.1 | 464 | 79.3 |
| Rural | 440 | 42.9 | 387 | 88.0 | 387 | 88.0 | 401 | 91.3 | 347 | 79.0 |
| Provinces | *** | **** | **** | **** | ||||||
| Province 1 | 141 | 13.8 | 120 | 85.1 | 121 | 85.8 | 136 | 96.5 | 112 | 79.4 |
| Province 2 | 198 | 19.3 | 163 | 82.3 | 154 | 77.8 | 160 | 80.8 | 130 | 65.7 |
| Province 3 | 107 | 10.4 | 99 | 92.5 | 99 | 92.5 | 102 | 95.3 | 92 | 86.0 |
| Province 4 | 123 | 12.0 | 119 | 96.7 | 116 | 94.3 | 120 | 97.6 | 113 | 91.9 |
| Province 5 | 178 | 17.4 | 163 | 91.6 | 161 | 90.4 | 154 | 87.0 | 141 | 79.7 |
| Province 6 | 144 | 14.0 | 124 | 86.1 | 122 | 84.7 | 136 | 94.4 | 111 | 77.1 |
| Province 7 | 134 | 13.1 | 120 | 89.6 | 123 | 91.8 | 126 | 94.0 | 112 | 83.6 |
| Number of children under 5 (M; SD) | 1.61; | 2.12; 1.38 | 2.10; 1.38*** | 2.09; 1.38**** | 2.05; 1.36**** | |||||
| Money needed to visit | ** | **** | **** | **** | ||||||
| Not a bimg problem | 416 | 40.6 | 379 | 91.1 | 389 | 93.5 | 400 | 96.2 | 361 | 86.8 |
| Big problem | 609 | 59.4 | 529 | 98.9 | 507 | 83.3 | 534 | 87.8 | 450 | 74.0 |
| Distance to health facility | ** | *** | *** | **** | ||||||
| Not a big problem | 389 | 38.0 | 358 | 92.0 | 355 | 91.3 | 369 | 94.9 | 329 | 84.6 |
| Big problem | 636 | 62.0 | 550 | 86.5 | 541 | 85.1 | 565 | 89.0 | 482 | 75.9 |
*p ≤ 0.10. **p≤0.05. ***p≤0.01. ****p≤0.001.
DPT, diphtheria-tetanus-pertussis; N, number.
Logistic regression analysis for complete immunisation in Nepal
| Variables | Three polio vaccines | Three DPT vaccines | A measles vaccine | Complete immunisation | ||||
| OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| Caste/ethnic affiliation | ||||||||
| High Hindu caste (ref.) | 1.00 | 1.00 | 1.00 | 1.00 | ||||
| Untouchables | 0.61 | 0.30 to 1.24 | 0.57 | 0.28 to 1.17 | 0.54 | 0.22 to 1.30 | 0.58** | 0.33 to 0.99 |
| Indigenous | 0.79 | 0.42 to 1.48 | 0.72 | 0.38 to 1.39 | 0.96 | 0.40 to 2.34 | 0.96 | 0.58 to 1.59 |
| Terai caste, Muslims | 0.48* | 0.22 to 1.05 | 0.36** | 0.16 to 0.79 | 0.56 | 0.22 to 1.44 | .54** | 0.29 to 0.99 |
| Mother’s education | ||||||||
| None (ref.) | 1.00 | 1.00 | 1.00 | 1.00 | ||||
| Primary | 1.24 | 0.70 to 2.19 | 0.95 | 0.55 to 1.62 | 1.77* | 0.96 to 3.28 | 1.13 | 0.73 to 1.75 |
| Secondary and higher | 1.07 | 0.64 to 1.81 | 0.78 | 0.47 to 1.30 | 1.95** | 1.04 to 3.63 | 1.23 | 0.81 to 1.86 |
| Wealth status | ||||||||
| Poorest (ref.) | 1.00 | 1.00 | 1.00 | 1.00 | ||||
| Poor | 1.56 | 0.84 to 2.90 | 1.14 | 0.60 to 2.16 | 1.45 | 0.65 to 3.21 | 1.32 | 0.80 to 2.18 |
| Middle | 1.54 | 0.78 to 3.05 | 1.06 | 0.53 to 2.08 | 1.12 | 0.49 to 2.54 | 1.16 | 0.67 to 2.00 |
| Richer | 2.70* | 1.20 to 6.09 | 1.25 | 0.59 to 2.62 | 2.44* | 0.93 to 6.39 | 1.71* | 0.93 to 3.15 |
| Richest | 1.44 | 0.57 to 3.58 | 1.19 | 0.48 to 2.99 | 1.03 | 0.36 to 2.94 | 1.19 | 0.57 to 2.45 |
| Ecological region | ||||||||
| Mountain (ref.) | 1.00 | 1.00 | 1.00 | 1.00 | ||||
| Hill | 2.51** | 1.23 to 5.09 | 2.72** | 1.24 to 5.99 | 1.25 | 0.41 to 3.76 | 2.14** | 1.17 to 3.90 |
| Terai | 1.32 | 0.56 to 3.07 | 0.76 | 0.31 to 1.88 | 0.58 | 0.16 to 2.10 | 1.27 | 0.62 to 2.60 |
| Provinces | ||||||||
| Province 3 (ref.) | 1.00 | 1.00 | 1.00 | 1.00 | ||||
| Province 1 | 0.57 | 0.22 to 1.43 | 0.99 | 0.38 to 2.59 | 2.04 | 0.51 to 8.15 | 0.83 | 0.39 to 1.73 |
| Province 2 | 0.67 | 0.23 to 1.94 | 1.31 | 0.45 to 3.74 | 0.72 | 0.20 to 2.64 | 0.75 | 0.32 to 1.72 |
| Province 4 | 1.95 | 0.55 to 6.90 | 1.15 | 0.38 to 3.43 | 1.66 | 0.37 to 7.49 | 1.62 | 0.67 to 3.89 |
| Province 5 | 1.10 | 0.39 to 3.05 | 2.02 | 0.71 to 5.78 | 0.54 | 0.16 to 1.84 | 0.91 | 0.42 to 1.98 |
| Province 6 | 0.55 | 0.21 to 1.40 | 0.39* | 0.15 to 1.09 | 1.02 | 0.29 to 3.56 | 0.65 | 0.31 to 1.36 |
| Province 7 | 0.94 | 0.34 to 2.54 | 1.67 | 0.59 to 4.74 | 1.28 | 0.36 to 4.55 | 1.26 | 0.57 to 2.77 |
| Number of children under 5 | 1.15 | 0.92 to 1.43 | 0.98 | 0.80 to 1.19 | 0.97 | 0.78 to 1.21 | 0.96 | 0.81 to 1.44 |
| Money needed to visit | ||||||||
| Not a big problem | 1.00 | 1.00 | 1.00 | 1.00 | ||||
| Big problem * | 1.14 | 0.69 to 1.88 | 0.47*** | 0.28 to 0.81 | 0.55* | 0.28 to 1.09 | 0.66** | 0.44 to 1.00 |
| Distance to health facility | ||||||||
| Not a big problem | 1.00 | 1.00 | 1.00 | 1.00 | ||||
| Big problem | 0.65 | 0.39 to 1.09 | 0.81 | 0.49 to 1.32 | 0.63 | 0.34 to 1.18 | 0.81 | 0.54 to 1.22 |
| Overall model χ | 48.856 | 71.466 | 85.663 | 80.948 | ||||
| Cox and Snell R2 | 0.047 | 0.067 | 0.080 | 0.076 | ||||
**p≤0.10. **p≤0.05. ***p≤0.01. ****p≤0.001.
DPT, diphtheria-tetanus-pertussis.