| Literature DB >> 35959456 |
Esum Mathias Eyong1, Nwana Yvette Ngwe2, Claude Ngwayu Nfuksai3,4, Loveline Lum Niba5, Akoachere Jane-Francis1.
Abstract
Background: Although a few studies have assessed occupational exposure and knowledge on post-exposure prophylaxis (PEP) for HIV among health care workers (HCWs), limited information is available on the factors that influence the use of HIV PEP among HCWs after occupational exposure in Cameroon. This study aimed to assess the prevalence and determinants of occupational exposure to HIV infection and identify factors (knowledge, attitudes, and practices) that influence compliance to the use of HIV PEP among HCWs in the Biyem-Assi, Buea, and Limbe health districts.Entities:
Keywords: Health Care Workers; Human Immunodeficiency Virus; Occupational Exposure; Post-Exposure Prophylaxis
Year: 2022 PMID: 35959456 PMCID: PMC9359212 DOI: 10.21106/ijma.557
Source DB: PubMed Journal: Int J MCH AIDS ISSN: 2161-864X
Socio-demographic characteristics of participants (N=312)
| Variable | Categories | Frequency (N) | Percentage (%) |
|---|---|---|---|
| Gender | Female | 253 | 81.1 |
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| Male | 59 | 18.9 | |
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| Age (Years) | 19-29 | 149 | 47.8 |
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| 30-39 | 106 | 34.0 | |
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| ≥ 40 | 57 | 18.3 | |
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| Marital status | Married | 129 | 41.4 |
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| Single | 176 | 56.4 | |
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| Divorced | 2 | 0.6 | |
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| Widow | 5 | 1.6 | |
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| Type of health facility | Secondary hospital | 66 | 21.2 |
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| Tertiary hospital | 105 | 33.7 | |
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| Primary hospital | 141 | 45.2 | |
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| Years of service | 1-5 | 207 | 66.3 |
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| 6 – 10 | 55 | 17.6 | |
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| ≥ 11 | 45 | 14.4 | |
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| Specialty | Medical doctor | 16 | 5.1 |
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| Nurse | 209 | 67.0 | |
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| Laboratory technician | 87 | 27.9 | |
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| Religion | Christian | 298 | 95.5 |
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| Muslim | 10 | 3.2 | |
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| Others | 4 | 1.3 | |
Figure 1Prevalence of Occupational Injury Types Among Study Participants
Figure 2Prevalence of Occupational Injury Types Per the Participant’s Specialty
Determinants of occupational exposure to HIV
| Determinant | N | Presence of Injury | Crude odds ratio (95% CI) | ||
|---|---|---|---|---|---|
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| Yes (%) | No (%) | ||||
| Age (years) | |||||
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| 20-29 | 146 | 85 (58.2) | 61 (41.8) | 0.308 (0.084-1.124) | 0.075 |
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| 30-39 | 106 | 81 (76.4) | 25 (23.6) | 0.199 (0.065-0.609) | 0.005 |
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| ≥40 | 57 | 32 (56.1) | 25 (43.9) | Ref | |
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| Subtotal | 309 | ||||
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| Gender | |||||
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| Male | 58 | 36 (62.1) | 22 (37.9) | Ref | |
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| Female | 251 | 162 (64.5) | 89 (35.5) | 1.193 (0.553-2.576) | 0.652 |
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| Subtotal | 309 | ||||
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| Marital Status | |||||
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| Married/Cohabiting | 129 | 96 (74.4) | 33 (26.6) | 0.362 (0.029-4.588) | 0.433 |
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| Single | 173 | 100 (57.8) | 73 (42.2) | 1.142 (0.087-15.045) | 0.920 |
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| Divorce | 2 | 0 (0.0) | 2 (100.0) | ||
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| Widowed | 5 | 2 (40.0) | 3 (60.0) | Ref | |
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| Subtotal | 309 | ||||
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| Place of work | |||||
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| Secondary Hospital | 64 | 32 (50.0) | 32 (50.0) | Ref | |
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| Tertiary Hospital | 104 | 72 (69.2) | 32 (30.8) | 0.343 (0.156-0.750) | 0.007 |
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| Primary Hospital | 141 | 94 (66.7) | 47 (33.3) | 0.487 (0.234-1.015) | 0.055 |
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| Subtotal | 309 | ||||
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| Duration in service (years) | |||||
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| 1-9 | 204 | 125 (61.3) | 79 (38.7) | Ref | |
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| 10-18 | 55 | 38 (69.1) | 17 (30.9) | 1.525 (0.577-4.030) | 0.395 |
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| 19+ | 45 | 31 (68.1) | 14 (31.1) | 0.364 (0.091-1.446) | 0.151 |
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| Subtotal | 304 | ||||
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| Specialty | |||||
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| Lab tech | 86 | 47 (54.7) | 39 (45.3) | Ref | |
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| Medical Doctor | 16 | 10 (62.5) | 6 (37.5) | 0.568 (0.150-2.149) | 0.405 |
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| Nurse | 207 | 141 (68.1) | 66 (31.9) | 0.854 (0.228-3.203) | 0.815 |
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| Subtotal | 309 | ||||
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| Knowledge | |||||
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| Inadequate | 146 | 86 (58.9) | 60 (41.1) | 0.536 (0.288-1.000) | 0.050 |
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| Adequate | 158 | 110 (69.6) | 48 (30.4) | Ref | |
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| Subtotal | 304 | ||||
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| Guideline awareness | |||||
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| Yes | 253 | 167 (66.0) | 86 (34.0) | Ref | |
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| No | 48 | 28 (58.3) | 20 (41.7) | 1.589 (0.711-3.548) | 0.259 |
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| Subtotal | 301 | ||||
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| Attitude | |||||
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| Positive | 240 | 156 (65.0) | 84 (35.0) | Ref | |
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| Negative | 37 | 20 (54.1) | 17 (45.9) | 1.426 (0.637-3.195) | 0.388 |
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| Subtotal | 277 | ||||
Legend: χ2=Chi-square; Ref: Reference category;
=Significant association
Factors that influence compliance with HIV Post Exposure Prophylaxis (PEP)
| Factors | N | PEP Practice | Crude Odds Ratio(95% CI) | ||
|---|---|---|---|---|---|
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| Good (%) | Poor (%) | ||||
| Age (years) | |||||
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| 20-29 | 85 | 38 (44.7) | 47 (55.3) | Ref | |
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| 31-39 | 81 | 56 (77.0) | 25 (23.0) | 0.394 (0.147-1.051) | 0.063 |
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| ≥40 | 32 | 20 (62.5) | 12 (37.5) | 0.755 (0.126-4.519) | 0.759 |
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| Subtotal | 198 | ||||
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| Gender | |||||
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| Male | 36 | 16 (44.4) | 20 (56.6) | 0.344 (0.125-0.950) | 0.039* |
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| Female | 162 | 98 (60.5) | 64 (39.5) | Ref | |
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| Subtotal | 198 | ||||
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| Marital Status | |||||
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| M/C | 96 | 61 (63.5) | 35 (36.5) | Ref | |
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| Single | 100 | 52 (52.0) | 48 (48.0) | 1.50 (0.618-3.642) | 0.370 |
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| Widowed | 2 | 1 (50.0) | 1 (50.0) | 4.13 (0.199-85.663) | 0.359 |
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| Subtotal | 198 | ||||
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| Religion | |||||
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| Christian | 191 | 113 (59.2) | 78 (40.8) | 0.215 (0.016-2.873) | 0.245 |
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| Muslim | 6 | 1 (16.7) | 5 (83.3) | Ref | |
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| Subtotal | 197 | ||||
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| Place of work | |||||
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| Secondary Hospital | 32 | 19 (59.4) | 13 (40.6) | 0.757 (0.271-2.110) | 0.594 |
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| Tertiary Hospital | 72 | 41 (56.9) | 31 (43.1) | 0.549 (0.239-1.260) | 0.157 |
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| Primary Hospital | 94 | 54 (57.4) | 40 (43.6) | Ref | |
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| Subtotal | 198 | ||||
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| Duration in service (years) | |||||
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| 1-9 | 125 | 67 (53.6) | 58 (46.5) | Ref | |
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| 10-18 | 38 | 25 (65.8) | 13 (34.2) | 1.270 (0.379-4.259) | 0.698 |
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| 19+ | 31 | 21 (67.7) | 10 (23.3) | 0.796 (0.148-4.282) | 0.791 |
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| Subtotal | 194 | ||||
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| Specialty | |||||
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| Lab tech | 47 | 35 (74.5) | 12 (25.5) | 0.975 (0.155-6.134) | 0.979 |
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| Medical Doctor | 10 | 6 (60.0) | 4 (40.0) | 4.496 (1.762-11.469) | 0.002* |
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| Nurse | 141 | 73 (51.8) | 68 (48.2) | Ref | |
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| Subtotal | 198 | ||||
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| Knowledge | |||||
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| Inadequate | 86 | 41 (47.7) | 45 (52.3) | Ref | |
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| Adequate | 110 | 71 (64.5) | 39 (35.5) | 0.937 (0.405-2.169) | 0.879 |
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| Guideline Awareness | |||||
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| Yes | 167 | 103 (61.7) | 64 (38.3) | 4.018 (1.199-13.460) | 0.024* |
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| No | 28 | 8 (28.6) | 20 (71.4) | Ref | |
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| Subtotal | 195 | ||||
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| Attitude | |||||
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| Positive | 156 | 96 (61.5) | 60 (38.5) | 1.942 (0.646-5.838) | 0.237 |
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| Negative | 20 | 9 45.0) | 11 (55.0) | Ref | |
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| Subtotal | 176 | ||||
Notes: χ2=Chi-square; M/C: Married/Cohabiting; Ref: Reference category; β = regression coefficient;
= Significant association
Figure 3Compliance with Post-Exposure Prophylaxis as Per Injury Type Notes: NSI=needle stick injury; SBBF=splashing of blood/bodily fluids; BBI=broken bottle injury