| Literature DB >> 34287754 |
Sharanya Rao1, Ashley E Reed2, Benjamin Parchem2, E Jennifer Edelman3, Manya Magnus4, Nathan B Hansen5, Trace S Kershaw6, Valerie A Earnshaw7, Douglas S Krakower8,9, John F Dovidio10, Kenneth H Mayer8,9, Kristen Underhill11, Joshua G Rosenberger12, Damon F Ogburn13, Joseph R Betancourt14, Sarah K Calabrese2,15.
Abstract
Expanding PrEP access necessitates training that supports healthcare providers' progression along the PrEP implementation cascade, moving from PrEP awareness to prescription. We surveyed 359 USA providers about PrEP training content and format recommendations. We examined the association between cascade location and training recommendations. Most providers were aware of PrEP (100%), willing to prescribe PrEP (97.2%), had discussed PrEP with patients (92.2%), and had prescribed PrEP (79.9%). Latent class regression analysis revealed that cascade location was associated with training recommendations. Although all providers recommended PrEP-specific content (e.g., patient eligibility), providers who were located further along the cascade also recommended more comprehensive content, including sexual history-taking and sexual and gender minority competence training. Providers further along the cascade were also more likely to recommend interactive training formats (e.g., role-playing). These insights from providers furthest along the cascade indicate the importance of including comprehensive content and interactive formats in future PrEP training initiatives.Entities:
Keywords: HIV prevention; Healthcare providers; Pre-exposure prophylaxis; Training programs
Mesh:
Substances:
Year: 2021 PMID: 34287754 PMCID: PMC8294250 DOI: 10.1007/s10461-021-03375-w
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
Provider sociodemographic and professional characteristics by current PrEP implementation cascade stage
| Characteristic | Total sample ( | Awareness of PrEP ( | Willing to prescribe PrEP ( | Discuss PrEP with patients ( | Actual prescription of PrEP ( |
|---|---|---|---|---|---|
| Gender** | |||||
| Female | 183 (50.97) | 8 (80.00) | 13 (72.22) | 25 (56.82) | 137 (47.90) |
| Men | 172 (47.91) | 2 (20.00) | 5 (27.78) | 18 (40.91) | 147 (51.39) |
| Trans and gender nonbinary individualsa | 3 (0.84) | 0 (0.00) | 0 (0.00) | 1 (2.27) | 2 (0.69) |
| Race | |||||
| White | 274 (76.32) | 6 (60.00) | 17 (94.44) | 37 (84.09) | 214 (74.83) |
| Black/African American | 26 (7.24) | 1 (10.00) | 1 (5.56) | 2 (4.55) | 22 (7.69) |
| Asian | 43 (11.98) | 2 (20.00) | 0 (0.00) | 3 (6.82) | 38 (13.29) |
| Other | 15 (4.18) | 1 (10.00) | 0 (0.00) | 2 (4.55) | 12 (4.20) |
| Ethnicity | |||||
| Latinx/Hispanic identity | 26 (7.24) | 0 (0.00) | 3 (16.67) | 6 (13.64) | 17 (5.94) |
| Sexual orientation** | |||||
| Heterosexual | 257 (71.59) | 6 (60.00) | 18 (100.00) | 37 (84.09) | 196 (68.29) |
| Sexual minority | 90 (25.07) | 3 (30.00) | 0 (0.00) | 3 (6.82) | 84 (29.27) |
| Prefer not to disclose | 12 (3.34) | 1 (10.00) | 0 (0.00) | 4 (9.09) | 7 (2.44) |
| Country of birth | |||||
| USA | 309 (86.07) | 7 (70.00) | 15 (83.33) | 39 (88.64) | 248 (86.41) |
| Other | 50 (13.93) | 3 (33.33) | 3 (16.67) | 5 (11.36) | 39 (13.59) |
| Medical title(s)/degree(s)* | |||||
| Doctorate degrees (e.g., MD, DO) | 239 (66.57) | 7 (70.00) | 16 (88.89) | 34 (77.27) | 182 (63.41) |
| Nursing degrees (e.g., APRN, NP) | 83 (23.12) | 2 (20.00) | 2 (11.11) | 9 (20.45) | 70 (24.39) |
| Physician’s assistant degree | 37 (10.31) | 1 (10.00) | 0 (0.00) | 1 (2.27) | 35 (12.20) |
| HIV specialist status*** | |||||
| Primary care provider | 116 (32.31) | 8 (80.00) | 16 (88.89) | 32 (72.73) | 60 (20.91) |
| HIV specialist | 243 (67.69) | 2 (20.00) | 2 (11.11) | 12 (27.27) | 227 (79.09) |
| Medical setting** | |||||
| Community health center only | 87 (24.23) | 1 (10.00) | 4 (22.22) | 7 (15.91) | 75 (26.13) |
| Hospital setting only | 18 (5.01) | 1 (10.00) | 2 (11.11) | 1 (2.27) | 14 (4.88) |
| University academic setting only | 58 (16.16) | 3 (30.00) | 7 (38.89) | 13 (29.55) | 35 (12.20) |
| Other single healthcare setting | 63 (17.55) | 0 (0.00) | 1 (5.56) | 6 (13.64) | 56 (19.51) |
| Two or more healthcare settings | 133 (37.05) | 5 (50.00) | 4 (22.22) | 17 (38.64) | 107 (37.28) |
| Region of practice** | |||||
| West | 89 (24.79) | 0 (0.00) | 3 (16.67) | 3 (6.82) | 83 (28.92) |
| Midwest | 41 (11.42) | 3 (30.00) | 5 (27.78) | 4 (9.09) | 29 (10.10) |
| Northeast | 143 (39.83) | 3 (30.00) | 6 (33.33) | 24 (54.55) | 110 (38.30) |
| South | 86 (23.96) | 4 (40.00) | 4 (22.22) | 13 (29.55) | 65 (22.65) |
| Geographic setting of practice | |||||
| Urban | 277 (77.16) | 9 (90.00) | 15 (83.33) | 35 (79.55) | 218 (75.96) |
| Suburban | 66 (18.38) | 1 (10.00) | 2 (11.11) | 6 (13.64) | 57 (19.86) |
| Rural | 16 (4.46) | 0 (0.00) | 1 (5.56) | 3 (6.82) | 12 (4.18) |
| Patient characteristicsb | |||||
| Men who have sex with women | 350 (97.49) | 10 (100.00) | 15 (83.33) | 42 (95.45) | 283 (98.61) |
| Men who have sex with men | 355 (98.89) | 10 (100.00) | 17 (94.44) | 43 (97.73) | 285 (99.30) |
| Women who have sex with men | 356 (99.16) | 10 (100.00) | 16 (88.89) | 43 (97.73) | 287 (100.00) |
| Women who have sex with women | 304 (84.68) | 10 (100.00) | 13 (72.22) | 36 (81.82) | 245 (85.37) |
| Transgender woman | 301 (83.84) | 7 (70.00) | 11 (61.11) | 24 (54.55) | 259 (90.24) |
| Transgender men | 205 (57.10) | 4 (40.00) | 4 (22.22) | 17 (38.64) | 180 (62.72) |
| Patients who exchange sex for money, drugs, or other goods | 329 (91.64) | 9 (90.00) | 13 (72.22) | 36 (81.82) | 271 (94.43) |
| Patients who inject drugs | 343 (96.66) | 9 (90.00) | 16 (88.89) | 41 (93.18) | 281 (97.91) |
*p < .05
**p < .01
***p < .001
aExcluded for comparative analyses
bRepresents the number of providers with 1 + current or former patients who they perceived as belonging to the specified group
Providers’ PrEP training content recommendations and format preferences relative to current PrEP implementation cascade stage
| Providers’ PrEP training needs | PrEP implementation cascade | |||
|---|---|---|---|---|
| Awareness of PrEP ( | Willing to prescribe PrEP ( | Discuss PrEP with patients ( | Actual prescription of PrEP ( | |
| Training content recommendations | ||||
| HIV background | 2 (20.00) | 2 (11.11) | 12 (27.27) | 130 (45.30) |
| Efficacy of PrEP | 7 (70.00) | 11 (61.11) | 34 (77.27) | 245 (85.37) |
| Risks/side effects of PrEP | 9 (90.00) | 14 (77.78) | 35 (79.55) | 239 (83.28) |
| Clinical trial evidence for PrEP | 9 (90.00) | 11 (61.11) | 32 (72.73) | 223 (77.70) |
| Biological mechanisms of PrEP | 4 (40.00) | 3 (16.67) | 12 (27.27) | 127 (44.25) |
| Clinical protocol for initiating and monitoring patients on PrEP | 9 (90.00) | 15 (83.33) | 39 (88.64) | 257 (89.55) |
| How to take sexual history | 4 (40.00) | 5 (27.78) | 14 (31.82) | 190 (66.20) |
| How to talk about sex with a patient who is a sexual minority | 4 (40.00) | 5 (27.78) | 17 (38.64) | 173 (60.28) |
| PrEP adherence and drug resistance | 7 (70.00) | 10 (55.56) | 27 (61.36) | 183 (63.76) |
| Clinical guidelines for determining patient eligibility for PrEP | 8 (80.00) | 15 (83.33) | 36 (81.82) | 243 (84.67) |
| Other content recommendationsa | 0 (0.00) | 0 (0.00) | 0 (0.00) | 9 (3.14) |
| Training format preferences | ||||
| Informal lecture with PowerPoint slides | 7 (70.00) | 12 (66.67) | 20 (45.45) | 178 (62.02) |
| Case presentation of actual PrEP patient | 6 (60.00) | 8 (44.44) | 32 (72.73) | 216 (75.26) |
| Full group discussion of hypothetical patient case | 3 (30.00) | 4 (22.22) | 12 (27.27) | 116 (40.42) |
| Small group breakout sessions to discuss hypothetical patient case | 2 (20.00) | 2 (11.11) | 12 (27.27) | 76 (26.48) |
| Multiple trainers role playing how to talk to patients about PrEP | 6 (60.00) | 6 (33.33) | 25 (56.82) | 169 (58.89) |
| Audience members role playing how to talk to patients about PrEP | 2 (20.00) | 7 (38.89) | 17 (38.64) | 124 (43.21) |
| Question and Answer sessions with trainers using anonymous handheld devices | 3 (30.00) | 0.00 (0.00) | 12 (27.27) | 113 (39.37) |
| Open Question and Answer sessions with trainersa | 0.00 (0) | 0.00 (0) | 0.00 (0) | 2 (0.70) |
| Other format preferencesa | 3 (30.00) | 4 (22.22) | 19 (43.18) | 136 (47.39) |
aExcluded from analyses
Fit statistics for competing latent class models of providers’ PrEP training content recommendation profiles with two to four classes and PrEP training format preference profiles with three to five classes (N = 359)
| Number of classes | Solution percentage | G2* | df | Log-likelihood | AIC | BIC | |
|---|---|---|---|---|---|---|---|
| PrEP training content recommendations | 2 | 100% | 607.87 | 1002 | − 1788.32 | 649.87 | 731.42 |
| 3 | 83% | 500.89 | 991 | − 1734.82 | 564.89 | 689.15 | |
| 4 | 71% | 436.22 | 980 | − 1702.49 | 522.22 | 689.20 | |
| PrEP training format preferences | 2 | 100% | 179.29 | 112 | − 1548.94 | 209.29 | 267.54 |
| 3 | 91% | 141.24 | 104 | − 1529.92 | 187.24 | 276.55 | |
| 4 | 70% | 118.89 | 96 | − 1518.75 | 180.89 | 301.27 |
G2* likelihood-ratio chi-square statistic, df degrees of freedom, AIC Akaike’s information criterion, BIC Bayesian information criterion
Item-response probabilities for three PrEP training content recommendation profiles reported by healthcare providers (N = 359)
| Class prevalence | Class 1 | Class 2 | Class 3 |
|---|---|---|---|
| PrEP clinical implementation only | PrEP clinical implementation and PrEP background | PrEP clinical implementation and comprehensive sexual health background | |
| 23.65% | 43.75% | 32.60% | |
| Content recommendation | Item response probabilities | ||
| HIV background | 0.12 | 0.23 | 0.87 |
| Efficacy of PrEP | 0.44 | 0.91 | 1.00 |
| Risks/side effects of PrEP | 0.41 | 0.93 | 1.00 |
| Clinical trial evidence for PrEP | 0.43 | 0.81 | 0.95 |
| Biological mechanism of PrEP | 0.15 | 0.25 | 0.80 |
| Clinical protocol for initiating and monitoring patients on PrEP | 0.62 | 0.98 | 0.97 |
| How to take sexual history | 0.41 | 0.42 | 0.97 |
| How to talk about sex with sexual minority patients | 0.42 | 0.32 | 0.96 |
| Adherence and drug resistance | 0.31 | 0.57 | 0.95 |
| Clinical guidelines for determining patient eligibility for PrEP | 0.50 | 0.95 | 0.94 |
Item-response probabilities for four PrEP training format preference profiles reported by healthcare providers (N = 359)
| Class prevalence | Class 1 | Class 2 | Class 3 |
|---|---|---|---|
| Information lecture only | Non-interactive diverse formats | Interactive diverse formats | |
| 17.35% | 73.44% | 9.20% | |
| Format preference | Item response probabilities | ||
| Informational lecture | 0.93 | 0.52 | 0.71 |
| Case presentation of actual PrEP patient | 0.42 | 0.77 | 1.00 |
| Trainer-led full group discussion of hypothetical patient case | 0.00 | 0.39 | 0.98 |
| Small group breakout session to discuss hypothetical patient cases | 0.00 | 0.22 | 0.96 |
| Multiple trainers role-playing how to talk to patients about PrEP | 0.26 | 0.60 | 0.94 |
| Audience members role-playing how to talk to patients about PrEP | 0.16 | 0.41 | 0.94 |
| Audience members responding anonymously via handheld devices to trainers’ questions | 0.00 | 0.37 | 0.91 |