| Literature DB >> 35444979 |
Timothy R Muwonge1, Rogers Nsubuga1, Norma C Ware2, Monique A Wyatt2, Emily Pisarski2, Brenda Kamusiime1, Vicent Kasiita1, Grace Kakoola Nalukwago1, Charles Brown1, Agnes Nakyanzi1, Monica Bagaya1, Felix Bambia1, Timothy Ssebuliba1, Elly Katabira3, Peter Kyambadde4,5, Jared M Baeten6,7, Renee Heffron6, Connie Celum6, Andrew Mujugira1, Jessica E Haberer2,8.
Abstract
Background: Scale-up of HIV pre-exposure prophylaxis (PrEP) services in Uganda is ongoing. However, health care workers (HCWs) may not be aware of PrEP nor what offering this service entails. We explored the impact of standardized HCW training on the knowledge and perspectives of PrEP service delivery in Uganda.Entities:
Keywords: HIV prevention; PrEP training; Uganda; healthcare worker; serodiscordant couples; sub-Saharan Africa
Mesh:
Year: 2022 PMID: 35444979 PMCID: PMC9013815 DOI: 10.3389/fpubh.2022.658826
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Participant characteristics.
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| Urban | 24 (30%) | 18 (29%) | 0.81 | 6 (32%) | |
| Peri-urban | 30 (37%) | 26 (43%) | 4 (21%) | ||
| Rural | 26 (33%) | 17 (28%) | 9 (47%) | ||
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| District hospital | 20 (25%) | 12 (20%) | 0.93 | 8 (42%) | |
| Health center or dispensary | 47 (59%) | 38 (62%) | 9 (47%) | ||
| National referral hospital | 4 (5%) | 4 (6%) | 0 (0%) | ||
| Private not-for-profit organization | 6 (7%) | 4 (6%) | 2 (11%) | ||
| Non-governmental organization | 3 (4%) | 3 (5%) | 0 (0%) | ||
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| Administration | 3 (4%) | 2 (3%) | 0.65 | 1 (5%) | 0 (0%) |
| Medical/clinical officer | 15 (18%) | 10 (16%) | 5 (26%) | 4 (27%) | |
| Nurse counselors | 52 (65%) | 44 (72%) | 9 (47%) | 9 (60%) | |
| Midwife | 4 (5%) | 0 (0%) | 3 (16%) | 2 (13%) | |
| Laboratory personnel | 3 (4%) | 3 (5%) | 0 (0%) | 0 (0%) | |
| Pharmacist | 3 (4%) | 2 (3%) | 1 (5%) | 0 (0%) | |
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| <3 years | 31 (39%) | 24 (39%) | 0.86 | 8 (42%) | 2 (13%) |
| 3–6 years | 32 (40%) | 22 (36%) | 7 (37%) | 10 (67%) | |
| >6 years | 17 (21%) | 15 (25%) | 4 (21%) | 3 (20%) | |
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| <3 years | 23 (29%) | 12 (20%) | 0.31 | 9 (47%) | |
| 3–6 years | 33 (41%) | 24 (39%) | 5 (26%) | ||
| >6 years | 24 (30%) | 25 (41%) | 5 (26%) |
HIV prevention knowledge.
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| Condom use | 74 (93%) | 73 (91%) | 57 (93%) | 0.89 |
| Abstinence | 41 (51%) | 56 (70%) | 30 (49%) |
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| Post-exposure prophylaxis | 35 (44%) | 49 (61%) | 34 (56%) | 0.08 |
| Safe male circumcision | 24 (30%) | 48 (60%) | 25 (41%) |
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| ART uptake and adherence | 28 (35%) | 40 (50%) | 24 (39%) | 0.15 |
| STI treatment | 14 (17%) | 32 (40%) | 14 (23%) |
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| PrEP | 15 (19%) | 20 (25%) | 23 (38%) |
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| Faithfulness | 24 (30%) | 17 (21%) | 11 (18%) | 0.20 |
| Safer sex/ risk reduction | 18 (22%) | 17 (21%) | 11 (18%) | 0.80 |
| EMTCT | 4 (5%) | 28 (35%) | 11 (18%) |
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| Family planning | 9 (11%) | 12 (15%) | 4 (6%) | 0.29 |
| Routine testing | 7 (9%) | 5 (6%) | 2 (3%) | 0.48 |
| Partner HIV testing and disclosure | 4 (5%) | 2 (2%) | 6 (10%) | 0.16 |
| Not sharing sharps | 4 (5%) | 2 (2%) | 5 (8%) | 0.31 |
STI, sexually transmitted infections; EMTCT, elimination of mother to child transmission.
Multiple response questions; boldface indicates statistical significance (p < 0.05).
Indicates that this value is significant in comparison with the pre-training value in a post-hoc analysis of the Fisher's exact test.
PrEP knowledge and willingness to prescribe PrEP.
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| 62 (78%) | 80 (100%) | 61 (100%) |
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| 25 (31%) | 48 (60%) | 33 (54%) |
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| Discordant couples | 48 (77%) | 71 (89%) | 53 (87%) |
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| MSM | 14 (23%) | 44 (55%) | 28 (46%) |
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| Fisher folk | 22 (35%) | 38 (48%) | 21 (34%) |
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| Sex workers | 51 (82%) | 78 (98%) | 56 (92%) |
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| Transgender individuals | 1 (2%) | 7 (9%) | 0 (0%) |
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| People who use drugs | 4 (6%) | 14 (18%) | 3 (5%) |
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| Truckers | 16 (26%) | 41 (51%) | 23 (38%) |
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| Sex worker clients | 5 (8%) | 3 (4%) | 3 (5%) | 0.93 |
| Sexual violence survivors | 1 (2%) | 0 (0%) | 1 (2%) | 0.73 |
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| PrEP is for HIV-uninfected people | 31 (39%) | 55 (69%) | 39 (64%) |
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| PrEP is before exposure | 23 (29%) | 41 (51%) | 22 (36%) |
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| PrEP uses ARVs | 16 (20%) | 17 (21%) | 7 (11%) | 0.30 |
| PrEP is for people at high risk | 9 (11%) | 16 (20%) | 22 (36%) |
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| PrEP is short-term | 8 (10%) | 12 (15%) | 7 (11%) | 0.61 |
| Effective for HIV prevention | 4 (5%) |
| 6 (10%) |
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| PrEP side effects | 2 (3%) | 2 (3%) | 1 (2%) | 1.00 |
| PrEP does not prevent STI | 0 (0%) | 6 (8%) | 0 (0%) |
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| During periods of HIV risk (yes/no) | 34 (43%) | 73 (91%) | 42 (69%) |
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| Life-long (yes/no) | 8 (10%) | 1 (1%) | 2 (3%) |
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| Within 3 months (1-3 months) (yes/no) | 7 (9%) | 1 (1%) | 2 (3%) | 0.07 |
| Within 1 year (6 months - 1 year) (yes/no) | 2 (3%) | 4 (5%) | 12 (20%) |
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| PrEP can promote unsafe sex | 39 (63%) | 31 (39%) | 32 (52%) | 0.23 |
| PrEP causes drug resistance | 38 (61%) | 9 (11%) | 18 (30%) |
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| PrEP has “bad side effects” | 35 (56%) | 26 (33%) | 16 (26%) | 0.08 |
| PrEP can immunize one from HIV | 11 (18%) | 13 (16%) | 12 (20%) | 0.63 |
| PrEP is taken for 28 days | 6 (10%) | 8 (10%) | 4 (7%) | 0.82 |
| PrEP is not very effective at protecting against HIV | 6 (10%) | 5 (6%) | 3 (5%) | 0.94 |
| PrEP is given after exposure | 4 (6%) | 5 (6%) | 4 (7%) | 0.94 |
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| Counseling | 52 (65%) | 67 (84%) | 47 (77%) |
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| Reminders | 17 (21%) | 22 (28%) | 23 (38%) | 0.10 |
| Pillbox | 5 (6%) | 8 (10%) | 2 (3%) | 0.31 |
| Explaining PrEP Benefits and Side Effects | 3 (4%) | 8 (10%) | 3 (5%) | 0.30 |
| Follow up visits and calls | 3 (4%) | 7 (9%) | 5 (8%) | 0.40 |
| Providing health education on PrEP | 1 (1%) | 11 (14%) | 4 (7%) |
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| Treatment support groups | 3 (4%) | 8 (10%) | 6 (10%) | 0.27 |
Multiple response questions, boldface indicates statistical significance (p < 0.05).
Data were missing from some surveys due to nonresponse; the total available number of surveys are noted for each question.
Indicates that this value is significant in comparison with the pre-training value in a post-hoc analysis of the Fisher's exact test.
The Fishers exact p-value was statistically significant but data were too sparse to fit a multinomial regression.
Provision, support, and preparedness for PrEP service delivery.
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| Very well | 28 (45%) | 43 (54%) | 44 (72%) |
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| Somewhat | 31 (50%) | 34 (42%) | 17 (28%) | |
| Not at all | 1 (2%) | 2 (3%) | 0 (0%) | |
| Unsure | 2 (3%) | 1 (1%) | 0 (0%) | |
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| Very well | 30 (49%) | 46 (57%) | 45 (74%) |
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| Somewhat | 28 (46%) | 30 (37%) | 16 (26%) | |
| Not at all | 0 (0%) | 2 (3%) | 0 (0%) | |
| Unsure | 3 (5%) | 2 (3%) | 0 (0%) | |
| Yes | 57 (95%) | 76 (99%) | 61 (100%) | 0.15 |
| No | 3 (5%) | 1 (1%) | 0 (0%) | |
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| Yes | 13 (16%) | 17 (21%) | 3 (5%) | |
| No | 67 (84%) | 63 (79%) | 58 (95%) | |
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| Yes | 6 (8%) | 11 (14%) | 13 (21%) | 0.07 |
| No | 74 (92%) | 69 (86%) | 47 (79%) |
Boldface indicates statistical significance (p < 0.05).
Data were missing from some surveys due to nonresponse; the total available number of surveys are noted for each question.
HCWs were asked if they felt that either workmates, friends, or their families would stigmatize them if they prescribed PrEP.
Indicates that this value is significant in comparison with the pre-training value in a post-hoc analysis of the Fisher's exact test.