| Literature DB >> 26545721 |
Leopold Ndemnge Aminde1,2, Noah F Takah3,4, Jean Jacques N Noubiap5,6, Maxime Tindong7, Calypse Ngwasiri8, Ahmadou M Jingi9, Andre Pascal Kengne10,11,12, Anastase Dzudie13,14,15,16.
Abstract
BACKGROUND: Adequate knowledge and practices on post exposure prophylaxis (PEP) for HIV among health care providers are crucial for HIV prevention. However there is limited data on PEP knowledge and practice from developing countries where the burden of HIV infection continues to increase. We assessed the knowledge of clinical medical students on PEP, their practices in response to occupational exposure to HIV, as well as the determinants of good knowledge on PEP.Entities:
Mesh:
Year: 2015 PMID: 26545721 PMCID: PMC4636782 DOI: 10.1186/s12889-015-2468-9
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic characteristics of the included medical students from the University of Buea, Cameroon, 2014
| Variables | N (%) or Median (25th-75th percentiles) |
|---|---|
| Age | 22.5 (21.0–25.0) |
| Sex | |
| Male | 89 (57.8) |
| Female | 65 (42.2) |
| Religion | |
| Christian | 145 (94.2) |
| Muslim | 9 (5.8) |
| Academic level | |
| 4th year | 55 (35.7) |
| 5th year | 63 (40.9) |
| 6th year | 36 (23.4) |
Sources of and knowledge levels on PEP for HIV among clinical medical students according to level of education at the University of Buea, Cameroon, 2014
| Variables and responses | 4th Year | 5th Year | 6th Year | Total |
|
|---|---|---|---|---|---|
| Sources of knowledge | |||||
| Heard about PEP ( | 0.051 | ||||
| Yes | 47 (85) | 54 (86) | 36 (100) | 137 (89) | |
| No | 08 (15) | 09 (14) | 00 (0.0) | 17 (11) | |
| Source of knowledge ( | |||||
| Newspaper/journal | 02 (4.3) | 01 (1.9) | 03 (8.3) | 6 (4.4) | 0.342 |
| Television | 00 (0.0) | 00 (0.0) | 03 (8.3) | 03 (2.2) | 0.013 |
| Radio | 02 (4.3) | 00 (0.0) | 00 (0.0) | 2 (1.5) | 0.142 |
| Seminar/workshop | 00 (0.0) | 02 (3.7) | 01 (2.8) | 3 (2.2) | 0.436 |
| Ward rounds | 30 (63.8) | 46 (85.2) | 26 (72.2) | 101 (73.7) | 0.045 |
| PEP training | 00 (0.0) | 04 (7.4) | 04 (11.1) | 08 (5.8) | 0.081 |
| Can’t remember | 17 (36.2) | 01 (1.9) | 00 (0.0) | 18 (13.1) | 0.001 |
| Ever had training on PEP ( | 0.011 | ||||
| Yes | 00 (0.0) | 04 (6.3) | 06 (16.7) | 10 (6.5) | |
| No | 52 (100) | 59 (93.7) | 30 (83.3) | 144 (93.5) | |
| Knowledge of PEP for HIV | |||||
| Overall knowledge score | 12.7 ± 3.9 | 13.7 ± 4.1 | 15.0 ± 3.9 | 13.7 ± 4.1 | 0.031 |
| Overall knowledge level | 0.456 | ||||
| Good | 01 (1.8) | 04 (6.4) | 04 (11.1) | 09 (5.8) | |
| Moderate | 35 (63.7) | 38 (60.3) | 22 (61.1) | 95 (61.7) | |
| Poor | 19 (34.5) | 21 (33.3) | 10 (27.8) | 50 (32.5) | |
| What proportion of needle prick injuries from HIV infected individuals result in HIV transmission? | 0.001 | ||||
| 1/100 | 18 (32.7) | 31 (49.3) | 11 (30.6) | 60 (39.0) | |
| 1/500 | 04 (7.3) | 08 (12.7) | 03 (8.3) | 15 (9.7) | |
| 3/1000a | 19 (34.5) | 12 (19.0) | 17 (47.2) | 48 (31.2) | |
| Do not know | 14 (25.5) | 12 (19.0) | 05 (13.9) | 31 (20.1) | |
| Which of the following are high risk fluids for transmission of HIV? (multiple answers) | |||||
| Breast milka | 41 (75.9) | 56 (94.9) | 33 (97.1) | 130 (84.4) | 0.001 |
| Urine | 00 (0.0) | 01 (1.7) | 01 (1.7) | 2 (1.3) | 0.496 |
| Peritoneal fluida | 09 (16.9) | 17 (27.8) | 11 (32.4) | 37 (24.0) | 0.216 |
| Saliva | 07 (13.2) | 09 (15.3) | 06 (17.6) | 22 (14.3) | 0.851 |
| Pleural fluida | 03 (5.7) | 13 (21.3) | 07 (20.6) | 23 (14.9) | 0.046 |
| Cerebrospinal fluida | 11 (20.8) | 17 (27.9) | 10 (29.4) | 38 (24.7) | 0.584 |
| Faeces | 00 (0.0) | 01 (1.7) | 00 (0.0) | 1 (0.6) | 0.476 |
| Synovial fluida | 03 (5.7) | 06 (9.8) | 11 (32.4) | 20 (13.0) | 0.001 |
| Indication for initiation of PEP (multiple answers acceptable) | |||||
| Needle prick injurya | 48 (90.6) | 55 (94.8) | 36 (100.0) | 139 (90.3) | 0.156 |
| Splashing of blood/bodily fluid on mucosal surfacesa | 26 (49.1) | 28 (48.3) | 25 (69.4) | 79 (51.3) | 0.094 |
| Rapea | 37 (69.8) | 45 (77.6) | 32 (88.9) | 114 (74.0) | 0.106 |
| Infants born HIV positive mothersa | 32 (60.4) | 20 (34.5) | 14 (38.9) | 66 (42.9) | 0.017 |
| First aid measure to institute following needle stick injury | |||||
| Promote active bleeding of the wound | 20 (36.4) | 18 (28.6) | 07 (19.4) | 45 (29.2) | 0.044 |
| Wash thoroughly with soap and watera | 25 (45.4) | 37 (58.7) | 29 (80.6) | 91 (59.1) | |
| Do not know | 10 (18.2) | 08 (12.7) | 00 (0.0) | 18 (11.7) | |
| How soon after needle prick should PEP be started? | 0.109 | ||||
| Within 1 ha | 26 (47.3) | 21 (33.3) | 20 (55.6) | 67 (43.5) | |
| After 72 h | 12 (21.8) | 10 (15.9) | 03 (8.3) | 25 (16.2) | |
| Don’t know | 17 (30.9) | 32 (50.8) | 13 (36.1) | 62 (40.3) | |
| What is the ideal HIV-PEP regimen following needle stick injury? | 0.014 | ||||
| One drug regimen | 13 (23.6) | 15 (23.8) | 22 (61.1) | 50 (32.5) | |
| Two drugs regimen | 15 (27.4) | 19 (30.2) | 06 (16.7) | 40 (26.0) | |
| Expanded three drugs regimena | 14 (25.4) | 20 (31.7) | 07 (19.4) | 41 (26.6) | |
| Don’t know | 13 (23.6) | 09 (14.3) | 01 (2.8) | 23 (14.9) | |
| Which of the following drugs are used in PEP (multiple answers acceptable) | |||||
| Zidovudinea | 32 (72.7) | 38 (67.8) | 19 (63.3) | 89 (57.8) | 0.689 |
| Glymepiride | 01 (2.3) | 00 (0.0) | 02 (6.7) | 03 (1.9) | 0.150 |
| Jevirapine | 02 (4.5) | 07 (12.7) | 00 (0.0) | 09 (5.8) | 0.065 |
| Lamivudinea | 07 (15.9) | 34 (61.8) | 12 (40.0) | 53 (34.4) | <0.001 |
| Levamisole | 00 (0.0) | 00 (0.0) | 00 (0.0) | 25 (16.2) | --- |
| Stavudinea | 03 (6.8) | 09 (16.4) | 05 (16.7) | 17 (11.0) | 0.307 |
| Famotidine | 01 (2.3) | 00 (0.0) | 00 (0.0) | 01 (0.6) | 0.378 |
| Nevirapinea | 30 (68.2) | 37 (67.3) | 18 (60.0) | 85 (55.2) | 0.736 |
| Duration of PEP with antiretroviral drugs | 0.001 | ||||
| For life | 00 (0.0) | 02 (3.2) | 00 (0.0) | 2 (1.3) | |
| 2 weeks | 00 (0.0) | 02 (3.2) | 03 (8.3) | 5 (3.2) | |
| 4 weeksa | 11 (20.0) | 21 (33.3) | 22 (61.1) | 54 (35.1) | |
| 24 weeks | 04 (7.3) | 08 (12.7) | 00 (0.0) | 12 (7.8) | |
| 28 weeks | 08 (14.5) | 02 (3.2) | 03 (8.3) | 13 (8.4) | |
| Do not know | 32 (58.2) | 28 (44.4) | 08 (22.2) | 68 (44.2) |
aCorrect answers
Exposures and practices of clinical medical students regarding PEP for HIV at the University of Buea, Cameroon, 2014
| Variables | Frequency (%) |
|---|---|
| Do you consider yourself to be at risk of HIV acquisition at your work place? | |
| Yes | 148 (96.1) |
| No | 6 (3.9) |
| Have you ever had occupational exposure to HIV in the past? | |
| Yes | 81 (52.6) |
| No | 73 (47.4) |
| What type of exposure was it? ( | |
| Needle prick | 31 (38.3) |
| Splashing of blood/bodily fluid on mucosal surfaces | 30 (37.0) |
| Both Needle prick and splashing of blood on mucosal surface | 20 (24.7) |
| How many exposures have you had in during the last 12 months? ( | |
| 1 | 40 (49.4) |
| 2–3 | 38 (46.9) |
| > 4 | 3 (3.7) |
| What were circumstances of exposure? (multiple answers accepted) ( | |
| Setting up IV line | 2 (2.5) |
| During surgery | 31 (38.3) |
| Giving injections | 16 (19.7) |
| Collecting blood samples | 6 (7.4) |
| Recapping needles | 16 (19.7) |
| During delivery | 29 (35.8) |
| Other | 10 (12.3) |
| If you have had occupational exposure to HIV, did you screen or test for HIV? ( | |
| Yes | 36 (44.4) |
| No | 45 (55.6) |
| If No, why did you not test for HIV? ( | |
| Not aware | 2 (4.4) |
| Assumed patient was HIV negative | 22 (48.9) |
| Other reasons | 21 (46.7) |
| Did you receive PEP after exposure? ( | |
| Received | 4 (4.9) |
| Did not receive | 77 (95.1) |
| What was the time lapse from exposure to which PEP was received after exposure? ( | |
| < 24 h | 2 (50) |
| > 24 h | 2 (50) |
| Reason for not receiving PEP? ( | |
| Deemed not necessary | 8 (10.4) |
| ARVs not available | 2 (2.6) |
| Source HIV was negative | 24 (31.2) |
| Not aware of need to take PEP after exposure | 13 (16.9) |
| Not aware of hospital protocol concerning PEP at the time | 13 (16.9) |
| Did not believe I could be infected with HIV | 13 (16.9) |
| Other | 4 (5.2) |
| Post exposure screening of the source of exposure? ( | |
| Screened | 50 (61.7) |
| Not screened | 31 (38.3) |
| What was the HIV status of the source of exposure? ( | |
| Positive | 19 (38) |
| Negative | 31 (62) |
Fig. 1Circumstances of exposure to HIV among clinical medical students at the University of Buea, Cameroon, 2014
Unadjusted correlates of average-to-good knowledge on PEP for HIV among clinical medical students at the University of Buea, Cameroon, 2014
| Variables | Odds ratio | 95 % CI |
|
|---|---|---|---|
| Age (year) | |||
| < 23 | 1 | ||
| ≥ 23 | 1.35 | 0.56–2.45 | 0.476 |
| Sex | |||
| Female | 1 | ||
| Male | 1.17 | 0.56–2.45 | 0.671 |
| Religion | |||
| Christian | 1 | ||
| Muslim | 0.51 | 0.09–2.96 | 0.450 |
| Academic level | |||
| 4th and 5th years | 1 | ||
| 6th year | 0.48 | 0.16–1.43 | 0.187 |
| Training on PEP | |||
| No | 1 | ||
| Yes | 0.51 | 0.11–2.39 | 0.391 |
| History of exposure | |||
| Yes | 1 | ||
| No | 0.75 | 0.29–1.95 | 0.553 |
| HIV status of source of exposure | |||
| Positive | 1 | ||
| Negative | 1.74 | 0.51–5.90 | 0.373 |