| Literature DB >> 32287263 |
Katlego Tebogo Kabotho1, Tawanda Chivese2.
Abstract
BACKGROUND: While treatment for HIV has greatly improved patient outcomes, health care workers, including nurses, remain at high risk of occupational exposure. The risk of exposure is a continuous concern in the South African health system that is overburdened by multiple stressors, including the highest HIV caseload in the world. The aim of this study was to estimate the prevalence of occupational exposure to HIV, reporting and utilization of post-exposure prophylaxis, knowledge, attitudes towards HIV post-exposure prophylaxis and infection control practices amongst nurses at a tertiary hospital in the Western Cape, South Africa.Entities:
Mesh:
Year: 2020 PMID: 32287263 PMCID: PMC7156052 DOI: 10.1371/journal.pone.0230075
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographics of participants, compared between participants with occupational HIV exposure and those not exposed.
| Variable | Overall | Exposed, N = 17 | Not exposed, N = 143 | P value | |
|---|---|---|---|---|---|
| Gender | Females, n (%) | 147 (92.45) | 14 (9.52) | 133 (90.48) | 0.099 |
| Males, n (%) | 12 (7.55) | 3 (25) | 9 (75) | ||
| Race | Black, n (%) | 73 (45.91) | 3 (4.11) | 70 (95.89) | 0.013 |
| White, n (%) | 4 (2.52) | 0 | 4 (100) | ||
| Mixed ancestry, n (%) | 81 (50.94) | 14 (17.28) | 67 (82.72) | ||
| Marital status | Single, n (%) | 68 (43.40) | 7 (10.29) | 61 (89.71) | 0.902 |
| Married, n (%) | 70 (44.03) | 8 (10.43) | 62 (88.57) | ||
| Divorced, n (%) | 15 (9.43) | 1 (6.67) | 14 (93.33) | ||
| Widowed, n (%) | 5 (3.14) | 1 (20) | 4 (80) | ||
| Age | Mean (SD) | 40.63(9.91) | 45(34–49) | 41 (34–48) | 0.563 |
| Years of practice | Years | 9 (4–24) | 15 (6–25) | 8.5(4–24) | 0.254 |
| Education, n (%) | diploma | 126 (79.25) | 12 (9.52) | 113 (90.48) | 0.433 |
| bachelor | 20 (12.58) | 4 (20) | 16 (80) | ||
| Masters | 1 (0.63) | 0 | 1 (100) | ||
| other | 12 (7.55) | 1 (8.33) | 11 (91.67) | ||
| Training attendance on HIV PEP, n (%) | yes | 40 (25.16) | 3 (7.5) | 37(92.5) | 0.443 |
| Departments/wards | Medical n (%) | 80(50.31) | 5(6.25) | 75(93.75) | 0.199 |
| Casualty n (%) | 39(24.53) | 6(15.38) | 33(84.62) | ||
| OPD n (%) | 40(25.16) | 6(15.00) | 34(85.00) |
Fig 1Occupational exposure to HIV, reporting and utilisation of PEP.
Fig 2Occupational exposure to HIV classification.
Knowledge regarding HIV PEP.
| Question | Response | N (%) |
|---|---|---|
| Ever heard about PEP | Yes | 115 (72.33) |
| Situation when PEP should not be administered | When the source is HIV negative? | 70 (44.03) |
| When the patient is known to be HIV positive | 20(12.58) | |
| When HIV status of source is unknown | 16 (10.06) | |
| I don’t know | 52 (32.70) | |
| Recommended time to take PEP | Any time after exposure, does not matter when | 36 (22.64) |
| Within 72 hours of exposure | 93 (58.49) | |
| I don’t know | 30(18.87) | |
| Length of time to take PEP | For 28 days | 66 (41.51) |
| For six months | 28(17.61) | |
| For a lifetime | 6 (3.77) | |
| I don’t know | 59 (37.11) |
Overall scores and categories of knowledge, attitudes and practices, compared between participants with occupational exposure to HIV and those not exposed.
| Overall | Exposed to HIV, n = 17 | Unexposed to HIV, n = 143 | p-value | ||
|---|---|---|---|---|---|
| Knowledge score percent | Median (IQR) | 50 (25–75) | 75 (50–75) | 50 (25–75) | 0.258 |
| Knowledge score categories, n (%) | Poor | 51 (32.08) | 3 (17.65) | 48 (33.80) | 0.258 |
| Good | 34 (21.38) | 3 (17.65) | 31 (21.83) | ||
| Adequate | 74 (46.54) | 11 (64.71) | 63 (44.37) | ||
| Attitude score percent | Median (IQR) | 83.33 (66.67–88.33) | 83.33 (66.67–88.33) | 83.33 (66.67–88.33) | 0.373 |
| Attitude score categories, n (%) | Poor | 1 (0.67) | 1 (0.75) | 0 | 0.928 |
| Good | 49 (32.89) | 5(31.25) | 88 (66.17) | ||
| Adequate | 99 (66.44) | 11(68.75) | 88 (66.17) | ||
| Practice score Percent | Median IQR | 75 (75–100) | 100 (75–100) | 75 (75–100) | 0.153 |
| Practice score categories, n (%) | Poor | 5 (3.18) | 1 (5.88) | 4 (2.86) | 0.496 |
| Good | 22 (14.01) | 1 (5.88) | 21 (15.00) | ||
| Adequate | 130 (82.80) | 15 (88.24) | 115 (82.14) |
1. Exposed to HIV denotes participants that have been exposed to HIV occupationally
2. The percentage scores for knowledge, attitudes and practices were categorised as <50% poor, 50–74% good and ≥75% as adequate practice
Attitudes of participants towards HIV PEP.
| Response | Strongly agree | Agree | Neutral | Disagree | Strongly disagree |
|---|---|---|---|---|---|
| Importance of PEP n (%) | 115(7.23) | 26(17.69) | 4(2.72) | 1(0.68) | 1 (0.68) |
| Perception of compliance as a result of training n (%) | 108(72.48) | 41(27.52) | 0 | 0 | 0 |
| Perception of HIV PEP guideline posters on the walls in the n (%) | 113(75.33) | 36(24.00) | 1(0.67) | 0 | 0 |
| Perception of PEP reducing likelihood of testing HIV positive after n (%) | 70(49.65) | 51(36.17) | 11(7.80) | 9 (6.38) | 0 |
| Perception of PEP treatment for exposure from HIV negative patients n (%) | 64(46.38) | 42(31.16) | 17(12.32) | 14(9.42) | 1 (0.72) |
| Perception of PEP treatment for any sharps injury for patients of unknown HIV status n (%) | 79(57.25) | 45(32.61) | 12(8.70) | 0 | 2(1.45) |
Practices towards infection control measures.
| Question | Answer | N (%) |
|---|---|---|
| Yes | 151 (94.97) | |
| Every time | 154(98.72) | |
| When used on an HIV positive patient | 2 (1.28) | |
| Yes, if not used on a patient | 36 (23.53) | |
| Never | 117 (76.47) | |
| When ¾ full | 93 (60.78) | |
| When half full | 14 (9.15) | |
| When completely full | 46 (30.07) |
Fig 3Multiple variable logistic regression for factors associated with occupational exposure to HIV.
LCL- lower confidence level (lower 95%CI). UCL- upper confidence level (Upper 95%CI). OR- odds ratio.