| Literature DB >> 31589632 |
Iman Kundu1, Ana Martinez-Donate2, Navya Karkada2, Alexis Roth2, Marisa Felsher2, Marcus Sandling3, Zsofia Szep3.
Abstract
OBJECTIVE: Adoption of pre-exposure prophylaxis (PrEP) to prevent HIV infection has been slow. The purpose of this study was to evaluate knowledge, attitudes and referral practices for PrEP among non-prescribing providers, who may play key role.Entities:
Mesh:
Year: 2019 PMID: 31589632 PMCID: PMC6779237 DOI: 10.1371/journal.pone.0223486
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristics of non-prescribing providers in Philadelphia.
| Characteristic | Quantitative Survey Participants | Qualitative Interviews Participants |
|---|---|---|
| 35.5 ± 11.9 | 40.0 ± 12.59 | |
| 4 (2 to 9) | 8.25 (2 to 30) | |
| 40 (61.5%) | 5 (42%) | |
| White | 26 (39.4%) | 4 (33.3%) |
| African-American/ Black | 19 (28.8%) | 4 (25%) |
| Hispanic/Latino | 11 (16.7%) | 4 (33.3%) |
| Asian | 1 (1.5%) | 0 |
| Multi-racial | 7 (10.6%) | 1 (8.3%) |
| 56 (84.6%) | 9 (75%) | |
| High school diploma | 6 (9%) | 2 (16.7%) |
| Some College | 7 (10.6%) | 1 (8.3%) |
| Associates College | 7 (10.6%) | 1 (8.3%) |
| Bachelors degree | 19 (28.8%) | 2 (16.7%) |
| Masters degree | 26 (39.4%) | 6 (50%) |
| Case manager | 34 (51.5%) | 6 (50%) |
| HIV tester | 18 (27.3%) | 5 (41.7%) |
| Navigator | 4 (6%) | 1 (8.3%) |
| Others | 10 (15.2%) | |
| Community health center | 20 (45.5%) | 3 (33.4%) |
| Academic hospital | 4 (9.1%) | 4 (44.4%) |
| Walk-in clinic | 4 (9.1%) | 0 (0%) |
| Community hospital | 3 (6.8%) | 1 (11.1%) |
| Sexual health clinic | 1 (2.2%) | 0 (0%) |
| Multiple | 12 (27.3%) | 1 (11.1%) |
| MSM | 55 (83.3%) | 10 (83.3%) |
| Trans women/men | 42 (63.6%) | 10 (83.3%) |
| Sex workers and their clients | 38 (57.6%) | 7 (58.3%) |
| Intravenous drug users | 37 (56.1%) | 8 (66.7%) |
| Prison inmates | 32 (48.5%) | 3 (25%) |
| Heterosexual men and women | 10 (15.5%) | 6 (50%) |
N, Number in that group; MSM, men who have sex with men.
a Mean±SD, n (%)
b Median (interquartile range)
c Others include non-prescribing providers who are non-tester, non-case manager, non-navigator providers or providers with multiple job roles
d Cumulative exceeds 100% due to multiple selections
Current referral practices and knowledge of non-prescribing providers in Philadelphia (N = 66).
| Practice | Total (N = 66) | Case managers | HIV testers | Other | P-value |
|---|---|---|---|---|---|
| 0.01 | |||||
| Yes | 33 (50%) | 12 (35.3%) | 12 (70.6%) | 9 (69.2%) | |
| No | 10 (15.2%) | 5 (14.7%) | 4 (23.5%) | 1 (7.7%) | |
| Don’t know | 21 (31.9%) | 17 (50%) | 1 (5.9%) | 3 (23.1%) | |
| 17 (27%) | 2 (6.1%) | 10 (58.8%) | 5 (38.5%) | <0.01 | |
| 41 (69.5%) | 17 (56.7%) | 14 (82.3%) | 10 (83.3%) | 0.10 | |
| 47 (74.6%) | 28 (84.9%) | 9 (52.9%) | 10 (76.9%) | 0.02 | |
| 54 (84.4%) | 30 (90.9%) | 11 (64.7%) | 13 (92.7%) | 0.05 | |
| 98 | 97 | 100 | 100 | 1.00 | |
| 40 | 52.9 | 29.4 | 21.4 | 0.10 | |
| 0.20 | |||||
| | 3.1 | 3 | 0 | 7.1 | |
| | 43.1 | 52.9 | 29.4 | 35.7 | |
| | 53.8 | 44.1 | 70.6 | 57.2 | |
| 72.3 | 70.6 | 82.3 | 64.3 | 0.50 | |
| 81.5 | 70.6 | 94.1 | 92.9 | 0.08 | |
| 72.3 | 61.8 | 82.3 | 85.7 | 0.20 | |
| 92.3 | 91.2 | 94.1 | 92.9 | 1.00 | |
| 86.2 | 85.3 | 88.2 | 85.7 | 1.00 | |
| 90.6 | 90.9 | 88.2 | 92.9 | 1.00 | |
| 3.4 ± 0.83 | 3.3 ± 0.86 | 3.5 ± 0.87 | 3.6 ± 0.65 | 0.20 | |
N, number in that group; PrEP, Pre-exposure prophylaxis for HIV; SD, Standard Deviation.
aDichotomous questions with yes/ no choices
bDichotomous questions with true/false choices
cOthers include non-tester, non-case manager providers or providers with multiple job roles
d P-value shows any difference between case-managers and HIV testers based on Chi-square/ Fisher’s exact test/ Mann-Whitney U test statistics.
Attitudes of non-prescribing providers in Philadelphia (N = 66).
| Total (N = 66) | Case managers | HIV testers | Other | P-value | |
|---|---|---|---|---|---|
| 98.5 | 100 | 100 | 92.9 | - | |
| 96.9 | 97 | 100 | 92.9 | 1.00 | |
| 95.2 | 97 | 88 | 100 | 0.30 | |
| 92.3 | 94.1 | 94.1 | 85.7 | 1.00 | |
| 77.8 | 81.3 | 76.5 | 71.4 | 0.70 | |
| 47.5 | 48.4 | 47.1 | 46.2 | 0.90 | |
| 35.9 | 39.4 | 23.5 | 42.9 | 0.40 | |
| 27.0 | 18.2 | 47.1 | 23.1 | 0.03 | |
| 33.3 | 24.2 | 52.9 | 30.8 | 0.04 | |
| 74.2 | 65.6 | 70.6 | 100 | 0.70 | |
| 21.9 | 12.1 | 41.2 | 21.4 | 0.03 |
PrEP, Pre-exposure prophylaxis for HIV; ARV, Antiretroviral (drugs); STIs, Sexually Transmitted Infections.
aDichotomous questions with yes/ no choices
bOthers include non-tester, non-case manager providers or providers with multiple job roles
cP-value shows any difference between case-managers and HIV testers based on Chi-square/ Fisher’s exact test statistics.
Themes emerging from the qualitative interviews.
| Main Themes | Main Findings | Participant Quotes |
|---|---|---|
| Most providers had positive views about PrEP and its effectiveness, and believed that their clients must be educated about PrEP. | ||
| Some of the main concerns expressed by 33.3% of the providers included potential increase in sexually transmitted diseases, and limited access to PrEP, in the case of lack of insurance, financial instability, and homelessness. | ||
| Providers perceived they had a short window of opportunity to interact with their clients, such as in the case of homeless IDUs encountered through street outreach. | ||
| Receiving support from coworkers and the organization, being able to share their experiences with their coworkers, and undergoing regular trainings boosted providers’ confidence and had a positive impact on the PrEP referral practices. | ||
| Some of the providers mentioned that they do not have sufficient time to talk to and answer all the queries of their clients, especially when the HIV testers have to meet a certain testing quota. In such circumstances, the providers do not initiate the conversation about PrEP. | ||
| Lack of availability of PrEP services was also found to be one of the barriers to PrEP referral. Under such circumstances, when clients are referred for PrEP, the providers fear that their clients may not act upon their initial interest or intent. | ||
| In organizations that have PrEP services on-site, we found that a limited number of physicians available to further assess the risk of the client and prescribe PrEP was one of the main barriers. |
PrEP, Pre-exposure prophylaxis for HIV; IDUs, intravenous drug users.