Table 3.
Factors associated with a low knowledge score on hepatitis B in medical doctors from Dakar, Saint-Louis, and Ziguinchor (N = 127), Senegal, 2015
| Univariate analysis |
Multivariable analysis |
||||
|---|---|---|---|---|---|
| n/N | OR (95% CI) | P | OR (95% CI) | P | |
| Age | 0.20 | 0.04 | |||
| ≤ 40 years | 17/92 | 1 | 1 | ||
| > 40 years | 10/35 | 1.8 (0.7–4.3) | 3.1 (1.0–9.2) | ||
| Gender | 0.19 | 0.28 | |||
| Women | 12/43 | 1 | 1 | ||
| Men | 15/84 | 1.8 (0.7–4.2) | 1.7 (0.6–4.4) | ||
| City | 0.23 | 0.39 | |||
| Dakar | 16/75 | 1 | 1 | ||
| Saint-Louis | 3/22 | 0.6 (0.2–2.2) | 0.3 (0.1–1.5) | ||
| Ziguinchor | 8/30 | 1.3 (0.5–3.6) | 0.8 (0.3–2.5) | ||
| Medical practice | 0.12 | 0.05 | |||
| Specialist | 14/82 | 1 | 1 | ||
| General practitioner | 13/45 | 2.0 (0.8–4.7) | 2.6 (1.0–7.3) | ||
| Time since first medical certification | 0.43 | ||||
| < 4 years | 15/62 | 1 | |||
| ≥ 4 years | 12/65 | 0.7 (0.3–1.7) | |||
| Lectures on HBV* | 0.009 | 0.02 | |||
| Yes | 2/39 | 1 | 1 | ||
| No | 25/88 | 7.3 (1.6–32.8) | 6.0 (1.4–26.4) | ||
| HBV screening proposed† | 0.02 | 0.03 | |||
| Frequent/systematic | 12/81 | 1 | 1 | ||
| Never/rarely | 15/46 | 2.8 (1.2–6.6) | 3.0 (1.1–8.2) | ||
| Personal history of HBV screening | 0.72 | ||||
| Yes | 21/101 | 1 | |||
| No | 6/25 | 0.8 (0.3–2.3) | |||
| HBV vaccination status assessed‡ | 0.99 | ||||
| Yes | 19/88 | 1 | |||
| No | 6/27 | 1.0 (0.3–2.7) | |||
| Personal history of HBV vaccination | 0.83 | ||||
| Yes | 1 | ||||
| No | 1.1 (0.4–2.9) | ||||
CI = confidence interval; HBV = hepatitis B virus; OR = odd ratio; n/N = number of practitioners with a low knowledge score/total number of practitioners for a specific category.
Practitioners that attended at least one lecture or other didactic event dedicated to HBV infection aside their initial medical training.
In your medical practice, do you propose the screening of HBV infection to your patients?
In case of a pediatric patient, would you usually check his/her HBV vaccination status?