| Literature DB >> 29954344 |
I B Omotowo1, I A Meka2, U N Ijoma3, V E Okoli4, O Obienu3, T Nwagha5, A C Ndu4, D O Onodugo3, L C Onyekonwu6, E O Ugwu7.
Abstract
BACKGROUND: Hepatitis B vaccination is the most effective method of prevention for hepatitis B virus infection. It is a major public health problem in Nigeria, and health workers are at increased risk. This study determined the uptake of hepatitis B vaccination and assessed its determinants among health care workers (HCWs).Entities:
Keywords: Health care workers; Hepatitis B; Hepatitis B vaccine; Nigeria
Mesh:
Substances:
Year: 2018 PMID: 29954344 PMCID: PMC6027786 DOI: 10.1186/s12879-018-3191-9
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Participants flow chart
Socio-demographic characteristics of the respondents (N = 3132)
| Socio-demographic characteristics | Doctors ( | Nurses/Pharmacists/Lab Workers ( | Admin staff ( | Total | ||||
|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % | |
| Sex | ||||||||
| Male | 185 | 62.3 | 277 | 38.7 | 489 | 23.1 | 951 | 30.4 |
| Female | 112 | 37.7 | 439 | 61.3 | 1630 | 76.9 | 2181 | 69.6 |
| Age – group (Years) | ||||||||
| < 20 | 0 | 0 | 0 | 0 | 12 | 0.6 | 12 | 0.4 |
| 20–30 | 94 | 31.7 | 84 | 11.7 | 414 | 19.5 | 592 | 18.9 |
| 31–40 | 112 | 37.7 | 196 | 27.4 | 843 | 39.8 | 1151 | 36.7 |
| 41–50 | 66 | 22.2 | 298 | 41.6 | 558 | 26.3 | 922 | 29.5 |
| 51–60 | 21 | 7.1 | 138 | 19.3 | 273 | 12.9 | 432 | 13.8 |
| > 60 | 4 | 1.3 | 0 | 0 | 19 | 0.9 | 23 | 0.7 |
| Education Level | ||||||||
| Primary | 0 | 0 | 0 | 0 | 269 | 12.7 | 269 | 8.6 |
| Secondary | 0 | 0 | 23 | 3.2 | 603 | 28.5 | 626 | 20.0 |
| Tertiary | 297 | 100 | 693 | 96.8 | 1247 | 58.8 | 2237 | 71.4 |
| Marital status | ||||||||
| Married | 198 | 66.7 | 510 | 71.2 | 1466 | 69.2 | 2174 | 69.4 |
| Single | 97 | 32.6 | 201 | 28.1 | 571 | 26.9 | 869 | 27.7 |
| Separated | 0 | 0 | 0 | 0 | 11 | 0.5 | 11 | 0.4 |
| Widowed | 2 | 0.7 | 5 | 0.7 | 71 | 3.4 | 78 | 2.5 |
| Duration of work (Years of experience) | ||||||||
| < 1 Year | 38 | 12.8 | 19 | 2.7 | 206 | 9.7 | 263 | 8.3 |
| 1–5 Years | 152 | 51.2 | 101 | 14.1 | 678 | 32.0 | 931 | 29.8 |
| > 5–10 Years | 50 | 16.8 | 380 | 53.1 | 410 | 19.3 | 840 | 26.8 |
| > 10 Years | 57 | 19.2 | 216 | 30.1 | 825 | 39.0 | 1098 | 35.1 |
Knowledge on transmission of hepatitis B (N = 3132)
| Transmitted by: | Doctors ( | Nurses/Pharmacists/Lab Workers ( | Admin staff ( | Total | ||||
|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % | |
| Shaking of hands | ||||||||
| Yes | 11 | 3.7 | 24 | 3.4 | 49 | 2.3 | 84 | 2.7 |
| No | 286 | 96.3 | 692 | 96.6 | 2070 | 97.7 | 3048 | 97.3 |
| Needle prick | ||||||||
| Yes | 280 | 94.3 | 293 | 40.9 | 749 | 35.3 | 1322 | 42.2 |
| No | 17 | 5.7 | 423 | 59.1 | 1370 | 64.7 | 1810 | 57.8 |
| Blood transfusion | ||||||||
| Yes | 284 | 95.6 | 614 | 85.8 | 1282 | 60.5 | 2180 | 69.6 |
| No | 13 | 4.4 | 102 | 14.2 | 837 | 39.5 | 952 | 30.4 |
| Heat | ||||||||
| Yes | 12 | 4.0 | 57 | 8.0 | 140 | 6.6 | 209 | 6.7 |
| No | 285 | 96.0 | 659 | 92.0 | 1979 | 93.4 | 2923 | 93.3 |
| Sexual intercourse | ||||||||
| Yes | 249 | 83.8 | 524 | 73.2 | 759 | 0.4 | 1532 | 48.9 |
| No | 48 | 16.2 | 192 | 26.8 | 1360 | 99.6 | 1597 | 41.9 |
| Drinking contaminated water | ||||||||
| Yes | 49 | 16.5 | 105 | 14.7 | 232 | 10.9 | 386 | 12.3 |
| No | 248 | 83.5 | 611 | 85.3 | 1887 | 89.1 | 2746 | 87.7 |
| Contamination from surfaces | ||||||||
| Yes | 81 | 27.3 | 89 | 12.4 | 402 | 18.9 | 572 | 18.3 |
| No | 216 | 72.7 | 627 | 87.6 | 1717 | 81.1 | 2560 | 81.7 |
| Sharing of sharp objects | ||||||||
| Yes | 258 | 86.9 | 204 | 28.5 | 1027 | 48.5 | 1489 | 47.5 |
| No | 39 | 13.1 | 512 | 71.5 | 1092 | 51.5 | 1643 | 52.5 |
| Don’t know | ||||||||
| Yes | 0 | 0 | 26 | 3.6 | 486 | 22.9 | 512 | 16.3 |
| No | 297 | 100 | 690 | 96.4 | 1633 | 77.1 | 2620 | 83.7 |
Participants in the study flow chart (N = 3132)
| Variable: | Doctors ( | Nurses/Pharmacists/Lab workers ( | Admin staff ( | Total ( | ||||
|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % | |
| Participants who knew their HBsAg status: | ||||||||
| Yes | 162 | 54.6 | 282 | 39.4 | 449 | 21.2 | 893 | 28.5 |
| No | 135 | 45.4 | 434 | 60.6 | 1670 | 78.8 | 2239 | 71.5 |
| Total participants | 297 | 100.0 | 716 | 100.0 | 2119 | 100.0 | 3132 | 100.0 |
| HBsAg of participants who knew their status: | ||||||||
| HBsAg Positive | 1 | 0.6 | 6 | 2.1 | 14 | 3.3 | 21 | 2.4 |
| HBsAg Negative | 161 | 99.4 | 276 | 97.9 | 435 | 96.7 | 872 | 97.6 |
| Total who knew their status | 162 | 100.0 | 282 | 100.0 | 449 | 100.0 | 893 | 100.0 |
| Participants who were HBsAg negative, and took/ did not take any dose of hepatitis B vaccine: | ||||||||
| Took at least a dose | 98 | 60.9 | 155 | 56.2 | 192 | 44.1 | 445 | 51.0 |
| Did not take any dose | 63 | 39.1 | 121 | 43.8 | 243 | 55.9 | 427 | 49.0 |
| Total who were HBsAg negative | 161 | 100.0 | 276 | 100.0 | 435 | 100.0 | 872 | 100.0 |
| Doses of vaccine taken by the participants: | ||||||||
| Participants who were HBsAg negative, and took one dose | 8 | 8.2 | 26 | 16.8 | 122 | 63.5 | 156 | 35.1 |
| Participants who were HBsAg negative, and took two doses | 16 | 16.4 | 44 | 28.4 | 11 | 5.8 | 71 | 16.0 |
| Participants who were HBsAg negative, and took three doses | 74 | 75.4 | 85 | 54.8 | 59 | 30.7 | 218 | 48.9 |
| Total who took at least a dose | 98 | 100.0 | 155 | 100.0 | 192 | 100.0 | 445 | 100.0 |
Reasons for non–uptake of Hepatitis B vaccine by the Participants (N = 427)
| Reasons: | Doctors ( | Nurses/Pharmacists/Lab Workers ( | Admin staff ( | Total ( | ||||
|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % | |
| Cost | ||||||||
| Yes | 4 | 6.3 | 7 | 5.8 | 35 | 14.4 | 46 | 10.8 |
| No | 59 | 93.7 | 114 | 95.2 | 208 | 85.6 | 381 | 89.2 |
| Don’t know where to take the vaccine | ||||||||
| Yes | 34 | 54.0 | 35 | 28.9 | 134 | 55.1 | 203 | 47.5 |
| No | 29 | 46.0 | 86 | 71.1 | 109 | 45.9 | 224 | 52.5 |
| Don’t believe I could be infected | ||||||||
| Yes | 1 | 1.6 | 3 | 2.5 | 24 | 9.8 | 28 | 6.6 |
| No | 62 | 98.4 | 118 | 97.5 | 219 | 90.2 | 399 | 93.4 |
| Others e.g. long vaccination schedule and lack of time | ||||||||
| Yes | 3 | 4.8 | 19 | 15.7 | 128 | 52.7 | 150 | 35.1 |
| No | 60 | 95.2 | 102 | 84.3 | 115 | 47.3 | 277 | 64.9 |
Factors associated with Uptake of Hepatitis B Vaccination among participants that had Hepatitis B Negative (N = 872)
| Variable: | Uptake of Hepatitis B Vaccination ( | Chi-square | AOR (95% CI) | |||||
|---|---|---|---|---|---|---|---|---|
| Yes | % | No | % | (X2) | ||||
| Sex | ||||||||
| Male | 124 | 27.9 | 135 | 31.6 | 0.558 | 0.455 | 1.00 | |
| Female | 321 | 72.1 | 292 | 68.4 | 0.93 (0.69–1.24) | 0.305 | ||
| Age group (Years) | ||||||||
| < 30 | 60 | 13.5 | 80 | 18.7 | 14.048 | 0.003 | 1.00 | |
| 31–40 | 187 | 42.0 | 191 | 44.7 | 1.30 (1.08–1.59) | < 0.001 | ||
| 41–50 | 126 | 28.3 | 117 | 27.4 | 1.38 (1.09–1.65) | < 0.001 | ||
| 51–60 | 72 16.2 | 39 | 9.2 | 1.41 (1.12–1.73) | 0.032 | |||
| Marital status | ||||||||
| Married | 327 | 73.5 | 293 | 68.6 | 1.981 | 0.576 | 1.00 | |
| Single/Separated/Widowed | 118 | 26.5 | 134 | 31.4 | 1.38 (1.01–1.92) | 0.050 | ||
| Education level | ||||||||
| Primary | 8 | 1.8 | 13 | 3.0 | 1.825 | 0.768 | 1.00 | |
| Secondary | 58 | 13.0 | 56 | 13.2 | 2.06 (0.75–5.61) | 0.159 | ||
| Tertiary | 379 | 85.2 | 358 | 83.8 | 1.96 (0.76–5.07) | 0.164 | ||
| Professional Categories | ||||||||
| Doctors | 98 | 22.0 | 63 | 14.7 | 11.108 | 0.049 | 1.00 | |
| Nurses/Pharmacists/Lab workers | 155 | 34.8 | 121 | 28.4 | 0.78 (0.54–0.98) | 0.037 | ||
| Admin staff | 192 | 43.2 | 243 | 56.9 | 0.23 (2.67–5.69) | 0.241 | ||
| Duration of work in the hospital | ||||||||
| < 1 Year | 33 | 7.4 | 124 | 29.0 | 18.742 | < 0.001 | 1.00 | |
| 1–5 Years | 109 | 24.5 | 95 | 22.3 | 1.19 (1.09–1.32) | 0.032 | ||
| > 5–10 Years | 128 | 28.8 | 93 | 21.8 | 1.26 (1.08–1.45) | 0.043 | ||
| > 10 Years | 175 | 39.3 | 115 | 26.9 | 1.28 (1.12–1.49) | 0.042 | ||
AOR Adjusted Odds Ratio, 95% CI 95% Confidence Interval, Reference category 1, X2 = Chi-square