| Literature DB >> 29986658 |
Yu-Ling Qin1, Bo Li1, Yue-Su Zhou1, Xin Zhang1, Lei Li1, Bing Song1, Peng Liu1, Yue Yuan1, Zhong-Peng Zhao2, Jun Jiao2, Jing Li2, Yi Sun2, Stephen Sevalie3, Joseph E Kanu3, Ya-Jun Song2, Jia-Fu Jiang4, Foday Sahr5,6, Tian-Jun Jiang7.
Abstract
BACKGROUND: Hepatitis B virus (HBV) is considered highly prevalent in West Africa. However, major gaps in surveillance exist in Sierra Leone. Although healthcare workers (HCWs) are at high risk for HBV infection, little is known about the prevalence and knowledge of hepatitis B among HCWs in Sierra Leone.Entities:
Keywords: Healthcare workers; Hepatitis B virus; Prevalence; Sierra Leone
Mesh:
Substances:
Year: 2018 PMID: 29986658 PMCID: PMC6038231 DOI: 10.1186/s12879-018-3235-1
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Prevalence of five hepatitis B virus serological markers by socio-demographic characteristics of the study participants
| Characteristic | Tested no. (%) | HBsAg (+) no. (%) | HBsAb (+) no. (%) | HBeAg (+) no. (%) | HBeAb (+) no. (%) | HBcAb (+) no. (%) | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Age (y) | |||||||||||
| ≥ 39y | 112 (53.1) | 6 (5.4) | 0.021* | 7 (6.3) | 0.342 | 0 (0.0) | 0.469 | 7 (6.3) | 0.027* | 10 (8.9) | 0.066 |
| < 39y | 99 (46.9) | 15 (15.2) | 3 (3.0) | 1 (1.0) | 16 (16.2) | 18 (18.2) | |||||
| Gender | |||||||||||
| Male | 108 (51.2) | 10 (9.3) | 0.820 | 7 (6.5) | 0.333 | 0 (0.0) | 0.488 | 11 (10.2) | 0.826 | 13 (12.0) | 0.686 |
| Female | 103 (48.8) | 11 (10.7) | 3 (2.9) | 1 (1.0) | 12 (11.7) | 15 (14.6) | |||||
| Working experience | |||||||||||
| ≥ 9y | 113 (53.6) | 8 (7.1) | 0.168 | 7 (6.2) | 0.345 | 0 (0.0) | 0.464 | 8 (7.1) | 0.076 | 10 (8.8) | 0.066 |
| < 9y | 98 (46.4) | 13 (13.3) | 3 (3.1) | 1 (1.0) | 15 (15.3) | 18 (18.4) | |||||
| Education level | |||||||||||
| High school | 39 (18.5) | 6 (15.4) | 0.365 | 1 (2.6) | 0.645 | 0 (0.0) | 0.873 | 5 (12.8) | 0.807 | 7 (17.9) | 0.601 |
| Diploma certificate | 166 (78.7) | 14 (8.4) | 9 (5.4) | 1 (0.6) | 17 (10.2) | 20 (12.0) | |||||
| Bachelor’s degree or higher | 6 (2.8) | 1 (16.7) | 0 (0.0) | 0 (0.0) | 1 (16.7) | 1 (16.7) | |||||
| Occupation | |||||||||||
| Medical doctor | 7 (3.3) | 2 (28.5) | 0 (0.0) | 0 (0.0) | 3 (42.9) | 3 (42.9) | |||||
| Nurse | 169 (80.1) | 17 (10.1) | 0.182 | 9 (5.3) | 0.687 | 1 (0.6) | 0.883 | 18 (10.7) | 0.015* | 23 (13.6) | 0.029* |
| Others staff | 35 (16.6) | 2 (5.7) | 1 (2.9) | 0 (0.0) | 2 (5.7) | 2 (5.7) | |||||
| Department | |||||||||||
| Internal Medicine | 21 (10.0) | 1 (4.8) | 0.560 | 1 (4.8) | 0.071 | 0 (0.0) | 0.338 | 2 (9.5) | 0.637 | 2 (9.5) | 0.384 |
| Surgical Department | 47 (22.3) | 8 (17.0) | 1 (2.1) | 0 (0.0) | 8 (17.0) | 9 (19.1) | |||||
| Emergency Department | 16 (7.6) | 1 (6.3) | 1 (6.3) | 0 (0.0) | 1 (6.3) | 1 (6.3) | |||||
| Paediatric | 19 (9.0) | 2 (10.5) | 0 (0.0) | 1 (5.3) | 2 (10.5) | 4 (21.1) | |||||
| Obstetrics and Gynecology | 9 (4.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | |||||
| Under Fives Clinic | 6 (2.8) | 0 (0.0) | 1 (16.7) | 0 (0.0) | 0 (0.0) | 0 (0.0) | |||||
| Laboratory | 16 (7.6) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | |||||
| OP Theatre | 22 (10.4) | 2 (9.0) | 1 (4.5) | 0 (0.0) | 2 (9.0) | 2 (9.0) | |||||
| Pharmacy | 5 (2.4) | 1 (20.0) | 2 (40.0) | 0 (0.0) | 1 (20.0) | 1 (20.0) | |||||
| Others | 50 (23.7) | 6 (12.0) | 3 (6.0) | 0 (0.0) | 7 (14.0) | 9 (18.0) | |||||
| Hepatitis history | |||||||||||
| YES | 14 (6.6) | 2 (14.3) | 0.268 | 1 (7.1) | 0.908 | 0 (0.0) | 0.905 | 2 (14.3) | 0.391 | 3 (21.4) | 0.429 |
| NO | 176 (83.4) | 15 (8.5) | 8 (4.5) | 1 (0.6) | 17 (9.7) | 21 (11.9) | |||||
| Unknown | 21 (10.0) | 4 (19.0) | 1 (4.8) | 0 (0.0) | 4 (19.0) | 4 (19.0) | |||||
| HBV vaccination | |||||||||||
| YES | 37 (17.5) | 1 (2.7) | 0.135 | 6 (16.2) | 0.002* | 0 (0.0) | 1.000 | 1 (2.7) | 0.087 | 1 (2.7) | 0.034* |
| NO | 174 (82.5) | 20 (11.5) | 4 (2.3) | 1 (0.6) | 22 (12.6) | 27 (15.5) | |||||
| Sharps injury | |||||||||||
| Never | 110 (52.1) | 11 (10.0) | 0.955 | 5 (4.5) | 0.739 | 1 (1.0) | 0.630 | 14 (12.7) | 0.586 | 15 (13.6) | 0.962 |
| Once | 36 (17.1) | 4 (11.1) | 1 (2.8) | 0 (0.0) | 4 (11.1) | 5 (13.9) | |||||
| More than once | 65 (30.8) | 6 (9.2) | 4 (6.2) | 0 (0.0) | 5 (7.7) | 8 (12.3) | |||||
| Total | 211 (100) | 21 (10.0) | 10 (4.7) | 1 (0.5) | 23 (10.9) | 28 (13.3) | |||||
*Statistically significant at P < 0.05
Summary of hepatitis B virus infection status among HCWs in the hospital, Sierra Leone
| HBV infection classification | Number (%) ( |
|---|---|
| Susceptible | 172 (81.5) |
| All markers negative | 172 (81.5) |
| Acute or chronic infection | 21 (10.0) |
| HBsAg (+), HBeAb (+), HBcAb (+) | 19 (9.0) |
| HBsAg (+), HBeAb (+) | 1 (0.5) |
| HBsAg (+), HBcAb (+) | 1 (0.5) |
| Immune due to hepatitis B vaccination | 9 (4.0) |
| Only HBsAb (+) | 9 (4.3) |
| Immune due to natural infection | 9 (4.0) |
| Only HBcAb (+) | 5 (2.4) |
| HBeAb (+), HBcAb (+) | 2 (0.9) |
| HBsAb (+), HBeAb (+) | 1 (0.5) |
| HBeAg (+), HBcAb (+) | 1 (0.5) |
Prevalence of four hepatitis B virus infection status by socio-demographic characteristics of the study participants
| Characteristic | Tested no. (%) | Susceptible no. (%) | Current infection no. (%) | Past infection no. (%) | Immune due to vaccination no. (%) | ||||
|---|---|---|---|---|---|---|---|---|---|
| Age (y) | 0.337 | 0.018* | 0.506 | 0.506 | |||||
| ≥ 39y | 112 (53.1) | 94 (83.9) | 6 (5.4) | 6 (5.4) | 6 (5.4) | ||||
| < 39y | 99 (46.9) | 78 (78.8) | 15 (15.2) | 3 (3.0) | 3 (3.0) | ||||
| Gender | 0.989 | 0.730 | 0.744 | 0.499 | |||||
| Male | 108 (51.2) | 88 (81.5) | 10 (9.3) | 4 (3.7) | 6 (5.6) | ||||
| Female | 103 (48.8) | 84 (81.6) | 11 (10.7) | 5 (4.9) | 3 (2.9) | ||||
| Working experience | 0.452 | 0.419 | 0.509 | 0.736 | |||||
| ≥ 9y | 113 (53.6) | 90 (79.6) | 13 (11.5) | 6 (5.3) | 4 (3.5) | ||||
| < 9y | 98 (46.4) | 82 (83.7) | 8 (8.2) | 3 (3.1) | 5 (5.1) | ||||
| Education level | 0.933 | 0.365 | 0.716 | 0.716 | |||||
| High school | 39 (18.5) | 31 (79.5) | 6 (15.4) | 1 (2.6) | 1 (2.6) | ||||
| Diploma certificate | 166 (78.7) | 136 (81.9) | 14 (8.4) | 8 (4.8) | 8 (4.8) | ||||
| Bachelor’s degree or higher | 6 (2.8) | 5 (83.3) | 1 (16.7) | 0 (0.0) | 0 (0.0) | ||||
| Occupation | 0.736 | 0.894 | 0.311 | 0.780 | |||||
| Medical doctor | 7 (3.3) | 6 (85.7) | 1 (14.3) | 0 (0.0) | 0 (0.0) | ||||
| Nurse | 169 (80.1) | 136 (80.5) | 17 (10.1) | 9 (5.3) | 7 (4.1) | ||||
| Other staff | 35 (16.6) | 30 (85.7) | 3 (8.6) | 0 (0.0) | 2 (5.7) | ||||
| Department | 0.000* | 0.560 | 0.738 | 0.007* | |||||
| Internal medicine | 21 (10.0) | 18 (85.7) | 1 (4.8) | 1 (4.8) | 1 (4.8) | ||||
| Surgical Department | 47 (22.3) | 36 (76.6) | 8 (17.0) | 3 (6.4) | 0 (0.0) | ||||
| Emergency Department | 16 (7.6) | 14 (87.5) | 1 (6.3) | 0 (0.0) | 1 (6.3) | ||||
| Pediatric | 19 (9.0) | 15 (78.9) | 2 (10.5) | 2 (10.5) | 0 (0.0) | ||||
| Obstetrics and Gynecology | 9 (4.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||||
| Under Fives Clinic | 6 (2.8) | 5 (83.3) | 0 (0.0) | 0 (0.0) | 1 (16.7) | ||||
| Laboratory | 16 (7.6) | 16 (100.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||||
| OP Theatre | 22 (10.4) | 19 (40.9) | 2 (9.0) | 0 (0.0) | 1 (4.5) | ||||
| Pharmacy | 5 (2.4) | 2 (40.0) | 1 (20.0) | 0 (0.0) | 2 (40.0) | ||||
| Others | 50 (23.7) | 38 (76.0) | 6 (12.0) | 3 (6.0) | 3 (6.0) | ||||
| Hepatitis history | 0.355 | 0.854 | 0.110 | 0.393 | |||||
| YES | 14 (6.6) | 10 (71.4) | 2 (14.3) | 2 (14.3) | 0 (0.0) | ||||
| NO | 176 (83.4) | 143 (81.3) | 17 (9.7) | 7 (4.0) | 9 (5.1) | ||||
| Unknown | 21 (10.0) | 19 (90.5) | 2 (9.5) | 0 (0.0) | 0 (0.0) | ||||
| HBV vaccination | 0.588 | 0.135 | 1.000 | 0.001* | |||||
| YES | 37 (17.5) | 29 (78.4) | 1 (2.7) | 1 (2.7) | 6 (16.2) | ||||
| NO | 174 (82.5) | 143 (82.2) | 20 (11.5) | 8 (4.6) | 3 (1.7) | ||||
| Sharps injury | 0.025* | 0.351 | 0.670 | 0.063 | |||||
| Never | 110 (52.1) | 82 (74.5) | 14 (12.7) | 6 (5.5) | 8 (7.3) | ||||
| Once | 36 (17.1) | 32 (88.9) | 2 (5.6) | 1 (2.8) | 1 (2.8) | ||||
| More than once | 65 (30.8) | 58 (89.2) | 5 (7.7) | 2 (3.1) | 0 (0.0) | ||||
| Total | 211 (100) | 172 (81.5) | 21 (10.0) | 9 (4.3) | 9 (4.3) |
*Statistically significant at P < 0.05
Multivariable analysis of possible risk factors for current HBV infection
| Variables | Category | Frequency | OR | 95% CI for OR | |
|---|---|---|---|---|---|
| Age | ≥39y | 6/112 | 0.337 | 0.116–0.980 | 0.046* |
| <39y | 15/99 | ||||
| Gender | Male | 10/108 | 1.304 | 0.471–3.609 | 0.609 |
| Female | 11/103 | ||||
| Working experience | ≥9y | 13/113 | 1.334 | 0.502–3.547 | 0.563 |
| <9y | 8/98 | ||||
| Education background | Low | 6/39 | 0.401 | 0.104–1.547 | 0.185 |
| Mid | 14/166 | ||||
| High | 1/6 | ||||
| Occupation | Doctors | 1/7 | 2.114 | 0.496–9.018 | 0.312 |
| Nurses | 17/169 | ||||
| Others | 3/35 | ||||
| Vaccination | Yes | 1/37 | 0.291 | 0.036–2.383 | 0.250 |
| No | 20/174 | ||||
| Sharps injury | Never | 14/110 | 0.692 | 0.391–1.225 | 0.207 |
| Once | 2/36 | ||||
| More than once | 5/65 |
*Statistically significant at P < 0.05
Responses of the study participants to basic hepatitis B knowledge
| Characteristic | The consequences of infection | Route of transmission | Preventive measures | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| no. (%) | no. (%) | no. (%) | ||||||||||
| Poor | Intermed | Good | Poor | Intermed | Good | Poor | Intermed | Good | ||||
| Age (y) | ||||||||||||
| < 39y | 77 (77.8) | 15 (15.2) | 7 (7.1) | 0.920 | 31 (31.3) | 35 (35.4) | 33 (33.3) | 0.896 | 41 (41.4) | 17 (17.2) | 41 (41.4) | 0.736 |
| ≥ 39y | 86 (76.8) | 19 (16.9) | 7 (6.3) | 32 (28.6) | 40 (35.7) | 40 (35.7) | 52 (46.4) | 19 (16.9) | 41 (36.7) | |||
| Gender | ||||||||||||
| Female | 75 (72.8) | 20 (19.4) | 8 (7.8) | 0.322 | 26 (25.4) | 42 (40.8) | 35 (33.9) | 0.222 | 42 (41.7) | 19 (18.5) | 42 (40.8) | 0.634 |
| Male | 88 (81.5) | 14 (12.9) | 6 (5.6) | 37 (34.3) | 33 (30.6) | 38 (35.2) | 51 (47.2) | 17 (15.7) | 40 (37.0) | |||
| Working experience | ||||||||||||
| < 9y | 74 (75.5) | 19 (19.4) | 5 (5.1) | 0.380 | 27 (27.6) | 35 (35.7) | 36 (36.7) | 0.752 | 33 (33.7) | 19 (19.4) | 46 (46.9) | 0.017* |
| ≥ 9y | 89 (78.8) | 15 (13.3) | 9 (7.9) | 36 (31.9) | 40 (35.4) | 37 (32.7) | 60 (53.1) | 17 (15.0) | 36 (31.9) | |||
| Education level | ||||||||||||
| High school | 25 (65.8) | 9 (23.7) | 4 (10.5) | 0.324 | 9 (20.5) | 16 (41.0) | 13 (33.3) | 0.378 | 15 (38.5) | 9 (23.1) | 14 (35.9) | 0.324 |
| Diploma certificate | 133 (79.6) | 24 (14.4) | 10 (5.9) | 51 (31.7) | 58 (35.4) | 58 (35.4) | 75 (45.7) | 26 (15.9) | 66 (40.2) | |||
| Bachelor’s degree or higher | 5 (83.3) | 1 (16.7) | 0 (0.0) | 3 (37.5) | 1 (12.5) | 2 (25.0) | 3 (50.0) | 1 (16.7) | 2 (33.3) | |||
| Occupation | ||||||||||||
| Medical doctor | 4 (57.1) | 2 (28.6) | 1 (14.3) | 0.050* | 0 (0.0) | 3 (42.9) | 4 (57.1) | 0.196 | 2 (28.6) | 1 (14.3) | 4 (57.1) | 0.221 |
| Nurse | 137 (81.1) | 21 (12.4) | 11 (6.5) | 56 (33.1) | 59 (34.9) | 54 (31.9) | 80 (47.3) | 30 (17.8) | 59 (34.9) | |||
| Other staff | 22 (62.9) | 11 (31.4) | 2 (5.7) | 7 (20.0) | 13 (37.1) | 15 (42.9) | 11 (31.4) | 5 (14.3) | 19 (54.3) | |||
| Total | 163 (77.3) | 34 (16.1) | 14 (6.6) | 63 (29.9) | 75 (35.5) | 73 (34.6) | 93 (44.1) | 36 (17.1) | 82 (38.9) | |||
*Statistically significant at P < 0.05