| Literature DB >> 30241503 |
Elichilia R Shao1,2,3,4, Innocent B Mboya5, Daniel W Gunda6, Flora G Ruhangisa7,5, Elizabeth M Temu7, Mercy L Nkwama7, Jeremia J Pyuza7,5, Kajiru G Kilonzo7,5, Furaha S Lyamuya7,5, Venance P Maro5.
Abstract
BACKGROUND: Hepatitis B virus infection is a global health problem with the highest prevalence in East Asia and Sub-Saharan Africa. The majority of infected people, including healthcare workers are unaware of their status. This study is aimed to determining seroprevalence of hepatitis B virus infection and associated factors among healthcare workers in northern Tanzania.Entities:
Keywords: Healthcare workers; Hepatitis B virus; Risk factors; Tanzania
Mesh:
Substances:
Year: 2018 PMID: 30241503 PMCID: PMC6151054 DOI: 10.1186/s12879-018-3376-2
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographic characteristics of HCWs at KCMC Moshi Tanzania 2016/17 (N = 442)
| Variable | Frequency (n) | Percentage (%) |
|---|---|---|
| Age (years) | ||
| Median (IQR) | 37 | (31, 46) |
| 20–29 | 88 | 19.9 |
| 30–39 | 165 | 37.3 |
| 40+ | 189 | 42.8 |
| Sex | ||
| Male | 166 | 37.6 |
| Female | 276 | 62.4 |
| Education level | ||
| Primary | 27 | 6.2 |
| Secondary | 67 | 15.3 |
| Tertiary | 344 | 78.5 |
| Marital status | ||
| Single | 140 | 31.7 |
| Married/Cohabiting | 275 | 62.2 |
| Widow/Divorced | 27 | 6.1 |
| Religion* | ||
| Christian | 378 | 85.7 |
| Muslim | 63 | 14.3 |
| Area of residence | ||
| Rural | 187 | 42.3 |
| Urban | 255 | 57.7 |
| Department | ||
| Surgical | 194 | 43.9 |
| Non-surgical | 129 | 29.2 |
| Outpatient/Emergency | 21 | 4.8 |
| Administrative/Supportive | 42 | 9.5 |
| Laboratory/Pathology | 56 | 12.7 |
| Specialty | ||
| Doctor | 130 | 29.4 |
| Nurse | 137 | 31.0 |
| Laboratory | 37 | 8.4 |
| Other health professions | 56 | 12.7 |
| Administrative/ Supportive staff | 82 | 18.6 |
| Work in clinical area | ||
| Yes | 350 | 79.2 |
| No | 92 | 20.8 |
| Years of practice* | ||
| < 5 | 91 | 21.0 |
| ≥5 | 342 | 79.0 |
*Frequency do not tally to the total due to missing information on religion
Exposure to the risk of HBV infection among healthcare workers at KCMC Moshi Tanzania 2016/17
| Variable | n | % |
|---|---|---|
| History of surgery | ||
| Yes | 145 | 32.8 |
| No | 297 | 67.2 |
| History of blood splash to the eyes or mouth | ||
| Yes | 121 | 27.4 |
| No | 319 | 72.2 |
| Don’t know | 2 | 0.5 |
| Ever had intravenous injections | ||
| Yes | 367 | 83.0 |
| No | 75 | 17.0 |
| Ever had intramuscular injections | ||
| Yes | 387 | 87.6 |
| No | 55 | 12.4 |
| History of needle stick injury* | ||
| Yes | 167 | 37.9 |
| No | 274 | 62.1 |
| History of invasive procedure such as endoscopy* | ||
| Yes | 40 | 9.1 |
| No | 399 | 90.5 |
| Don’t know | 2 | 0.5 |
| Ever had blood transfusion | ||
| Yes | 34 | 7.9 |
| No | 399 | 92.2 |
| HBV Vaccine uptake* | ||
| Yes | 295 | 67.4 |
| No | 143 | 32.6 |
*Frequency do not tally to the total due to missing values
Demographic characteristics associated with Hepatitis B virus infection among HCWs at KCMC Moshi, Tanzania 2016/17
| Variable | Total | Serology n (%) | χ2* | p-value | |
|---|---|---|---|---|---|
| Negative | Positive | ||||
| Age (years) | 0.278 | 0.93** | |||
| 20–29 | 88 | 84 (95.4) | 4 (4.6) | ||
| 30–39 | 164 | 154 (93.9) | 10 (6.1) | ||
| 40+ | 187 | 176 (94.1) | 11 (5.9) | ||
| Sex | 0.432 | 0.51 | |||
| Male | 166 | 155 (93.4) | 11 (6.6) | ||
| Female | 273 | 259 (94.9) | 14 (5.1) | ||
| Education level | 1.835 | 0.30** | |||
| Primary | 26 | 24 (92.3) | 2 (7.7) | ||
| Secondary | 67 | 61 (91.0) | 6 (9.0) | ||
| Tertiary | 342 | 325 (95.0) | 17 (5.0) | ||
| Marital status | 4.212 | 0.14** | |||
| Single | 140 | 128 (91.4) | 12 (8.6) | ||
| Married/Cohabiting | 272 | 259 (95.2) | 13 (4.8) | ||
| Widow/Divorced | 27 | 27 (100) | 0 (0) | ||
| Religion | 3.992 | 0.05 | |||
| Christian | 375 | 357 (95.2) | 18 (4.8) | ||
| Muslim | 63 | 56 (88.9) | 7 (11.1) | ||
| Area of residence | 1.001 | 0.32 | |||
| Rural | 186 | 173 (93.0) | 13 (7.0) | ||
| Urban | 253 | 241 (95.3) | 12 (4.7) | ||
| Department | 2.653 | 0.47** | |||
| Surgical | 193 | 183 (94.8) | 10 (5.2) | ||
| Non-surgical | 129 | 122 (96.1) | 5 (3.9) | ||
| Outpatient/Emergency | 21 | 19 (90.5) | 2 (9.5) | ||
| Administrative/Supportive | 42 | 39 (92.9) | 3 (7.1) | ||
| Laboratory/Pathology | 56 | 51 (91.1) | 5 (8.9) | ||
| Specialty | 3.076 | 0.48** | |||
| Doctor | 130 | 123 (94.6) | 7 (5.4) | ||
| Nurse | 135 | 130 (96.3) | 5 (3.7) | ||
| Laboratory | 37 | 33 (89.2) | 4 (10.8) | ||
| Other health professions | 56 | 52 (92.9) | 5 (7.1) | ||
| Administrative/ Supportive staff | 81 | 76 (93.8) | 5 (6.2) | ||
| Work in clinical area | 1.229 | 0.32** | |||
| Yes | 348 | 326 (93.7) | 22 (6.3) | ||
| No | 91 | 88 (96.7) | 3 (3.3) | ||
| Years of practice | 2.756 | 0.13** | |||
| < 5 | 91 | 89 (97.8) | 2 (2.2) | ||
| ≥5 | 339 | 316 (93.2) | 23 (6.8) | ||
*Chi-square; **p-value by Fisher’s exact estimation
HBV infection by past exposure to potential risk factors among HCWs at KCMC Moshi Tanzania 2016/17
| Variable | Total | Serology n (%) | χ2* | p-value | |
|---|---|---|---|---|---|
| Negative | Positive | ||||
| History of surgery* | 8.897 | 0.003** | |||
| Yes | 144 | 129 (89.6) | 15 (10.4) | ||
| No | 295 | 285 (96.6) | 10 (3.4) | ||
| History of blood splash to the eyes or mouth* | 2.137 | 2.26 | |||
| Yes | 121 | 111 (91.7) | 10 (8.3) | ||
| No | 316 | 301 (95.3) | 15 (4.7) | ||
| Don’t know | 2 | 2 (100) | 0 (0) | ||
| Ever had intravenous injections* | 0.446 | 0.78 | |||
| Yes | 365 | 343 (94.0) | 22 (6.0) | ||
| No | 74 | 71 (96.0) | 3 (4.0) | ||
| Ever had intramuscular injections* | 0.414 | 0.75 | |||
| Yes | 386 | 363 (94.0) | 23 (6.0) | ||
| No | 53 | 51 (96.2) | 2 (3.8) | ||
| History of needle stick injury* | 0.452 | 0.50 | |||
| Yes | 165 | 154 (93.3) | 11 (6.8) | ||
| No | 273 | 259 (94.9) | 14 (5.1) | ||
| History of invasive procedure such as endoscopy* | 0.151 | 1.00** | |||
| Yes | 39 | 37 (94.9) | 2 (5.1) | ||
| No | 397 | 374 (94.2) | 23 (5.8) | ||
| Don’t know | 2 | 2 (100) | 0 (0) | ||
| Ever had blood transfusion* | 65.946 | < 0.001 | |||
| Yes | 34 | 22 (64.7) | 12 (35.3) | ||
| No | 399 | 388 (97.2) | 11 (2.8) | ||
| HBV Vaccine uptake* | 23.420 | < 0.001** | |||
| Yes | 293 | 289 (98.6) | 4 (1.4) | ||
| No | 142 | 125 (88.0) | 17 (12.0) | ||
| Knowledge on HBV infection | 5.886 | 0.04** | |||
| Poor | 108 | 98 (90.7) | 10 (9.3) | ||
| Fair | 217 | 204 (94.0) | 13 (6.0) | ||
| Good | 114 | 112 (98.2) | 2 (1.8) | ||
*Frequencies do not tally to the total due to missing values either in the outcome variable (serology status) or the independent variables, this also causes variations from numbers in Table 4; **p-value by Fisher’s exact estimation
Knowledge on HBV infection and vaccination among healthcare workers at KCMC* Moshi Tanzania 2016/17 (N = 442)
| Statement | n | % |
|---|---|---|
| 1. HBV can be transmitted through sexual intercourse | 354 | 80.6 |
| 2. HBV can be transmitted through unprotected sex with multiple sexual partner | 79 | 17.9 |
| 3. HBV is the most contagious blood-borne pathogen through accidental exposure to blood and its products | 379 | 85.9 |
| 4. Injury with needle contaminated with infected blood is the risk factor of HBV infection | 391 | 89.1 |
| 5. Contact with broken skin with infected body fluid is a risk factor of HBV infection | 365 | 83.0 |
| 6. Contact to mucous membrane in the eyes or mouth with infected blood is a risk factor of HBV infection | 321 | 72.8 |
| 7. Contact of healthy skin with infected blood or products is a risk factor of HBV infection | 144 | 32.7 |
| 8. HBV infection can be transmitted through oral-fecal route | 134 | 30.4 |
| 9. HBV could be transmitted from a mother to her fetus | 290 | 65.9 |
| 10. Immunoglobulin against HBV can prevent infection after exposure | 233 | 53.0 |
| 11. There is a vaccine which is available against HBV | 398 | 91.3 |
| 12. If Hepatitis B vaccination is taken properly as per protocol, it is more than 95% protective against HBV infection | 340 | 77.3 |
| 13. The minimum numbers of doses for a complete primary HBV vaccination is three doses | 278 | 63.0 |
| 14. An immune response test should be done after HBV vaccination | 199 | 46.5 |
| 15. Antibody titer above 10 IU is the recommended amount which is protective | 138 | 31.3 |
| 16. You can get HBV infection from recombinant HBV vaccination | 103 | 23.4 |
| Knowledge level | ||
| Median (IQR) | 62.5 | (50, 75) |
| Poor | 109 | 24.7 |
| Fair | 219 | 49.6 |
| Good | 114 | 25.8 |
*Frequency and percentage distributions of only those who answered correctly in these statements
Univariate and multivariate logistic regression for factors associated with HBV infection among HCWs at KCMC Moshi, Tanzania 2016/17
| Variable | Total | +Ve serology | cOR* (95%CI) | aOR** (95%CI) | ||
|---|---|---|---|---|---|---|
| Religion | ||||||
| Muslim | 63 | 7 (11.1) | Reference | Reference | ||
| Christian | 375 | 18 (4.8) | 0.40 (0.16, 1.01) | 0.05 | 1.05 (0.26, 4.18) | 0.94 |
| History of surgery | ||||||
| No | 295 | 10 (3.4) | Reference | Reference | ||
| Yes | 144 | 15 (10.4) | 3.31 (1.44, 7.58) | 0.005 | 2.31 (0.77, 6.90) | 0.13 |
| Ever had blood transfusion | ||||||
| No | 399 | 11 (2.8) | Reference | Reference | ||
| Yes | 34 | 12 (35.3) | 19.24 (7.64, 48.47) | < 0.001 | 21.44 (6.05, 76.01) | < 0.001 |
| HBV Vaccine uptake* | ||||||
| No | 142 | 17 (12.0) | Reference | Reference | ||
| Yes | 293 | 4 (1.4) | 0.10 (0.03, 0.31) | < 0.001 | 0.06 (0.02, 0.26) | < 0.001 |
| Knowledge on HBV infection | ||||||
| Poor | 108 | 10 (9.3) | Reference | Reference | ||
| Fair | 217 | 13 (6.0) | 0.62 (0.26, 1.47) | 0.28 | 0.48 (0.14, 1.65) | 0.25 |
| Good | 114 | 2 (1.8) | 0.18 (0.04, 0.82) | 0.03 | 0.38 (0.07, 2.09) | 0.25 |
*Crude odds ratio; **Adjusted odds ratio