| Literature DB >> 34976649 |
Samuel R Bunting1, Brian A Feinstein2, Aniruddha Hazra3, Neeral K Sheth4, Sarah S Garber5.
Abstract
Pre-exposure prophylaxis (PrEP) is a highly effective strategy for preventing HIV. However, prescription of PrEP has not reached the scale that is necessary to meet the public health need of reducing HIV incidence. A factor contributing to this slow scale-up is limited healthcare practitioners' knowledge of PrEP, making PrEP education a priority. We conducted a national, cross-sectional study of medical (allopathic and osteopathic) and pharmacy students regarding knowledge of PrEP and HIV between October 2020 and February 2021. We included 28 items in our knowledge assessment. Analysis sought to identify gaps in knowledge as well as academic and demographic correlates of knowledge. A total of 2,353 students participated in the study (response rate = 17.0%). The overall mean HIV knowledge score was 79.6% correct. Regarding specific items, 68.7% of participants believed HIV treatment was difficult because it required many pills, and 61.1% incorrectly indicated a person with an undetectable HIV viral load could transmit the virus to their sexual partners. Overall mean PrEP knowledge was 84.1%. Approximately one-third of participants did not identify HIV-negative status as a requirement to be a PrEP candidate. Gay/lesbian participants and those who were in the late-phase of training reported higher knowledge of both HIV and PrEP than did heterosexual participants and those in the early-phase of training. This study identifies specific gaps in training on HIV prevention with PrEP that must be improved in health professions education to ensure PrEP reaches its full potential in ending the HIV epidemic.Entities:
Keywords: HIV; Knowledge; Medical education; Pharmacy education; Pre-exposure prophylaxis
Year: 2021 PMID: 34976649 PMCID: PMC8683973 DOI: 10.1016/j.pmedr.2021.101590
Source DB: PubMed Journal: Prev Med Rep ISSN: 2211-3355
Demographics of Complete Sample and Individual Professions.
| Overall | Allopathic Medicine | Osteopathic Medicine | Pharmacy | |||||
|---|---|---|---|---|---|---|---|---|
| % | % | % | % | |||||
| 1st year | 677 | 28.8% | 354 | 30.1% | 273 | 27.7% | 50 | 25.8% |
| 2nd year | 651 | 27.7% | 328 | 27.9% | 280 | 28.5% | 43 | 22.2% |
| 3rd year | 507 | 21.5% | 235 | 20.0% | 221 | 22.5% | 51 | 26.3% |
| 4th+ yeara | 518 | 22.0% | 258 | 22.0% | 210 | 21.3% | 50 | 25.8% |
| Men | 905 | 38.5% | 456 | 38.8% | 397 | 40.3% | 52 | 26.8% |
| Women | 1,423 | 60.5% | 699 | 59.5% | 582 | 59.1% | 142 | 73.2% |
| Gender Diverseb | 25 | 1.1% | 20 | 1.7% | 5 | 0.5% | 0 | 0.0% |
| White | 1,267 | 53.8% | 591 | 50.3% | 565 | 57.4% | 111 | 57.2% |
| Black | 82 | 3.5% | 48 | 4.1% | 24 | 2.4% | 10 | 5.2% |
| Hispanic/Latino | 101 | 4.3% | 52 | 4.4% | 38 | 3.9% | 11 | 5.7% |
| Asian | 734 | 31.2% | 389 | 33.1% | 288 | 29.3% | 57 | 29.4% |
| Other Racec | 169 | 7.2% | 95 | 8.1% | 69 | 7.0% | 5 | 2.6% |
| Heterosexual (straight) | 2,061 | 87.6% | 1,020 | 86.8% | 863 | 87.7% | 178 | 91.8% |
| Gay/Lesbian | 99 | 4.2% | 47 | 4.0% | 47 | 4.8% | 5 | 2.6% |
| Bisexual | 143 | 6.1% | 77 | 6.6% | 59 | 6.0% | 7 | 3.6% |
| Otherd | 50 | 2.1% | 31 | 2.6% | 15 | 1.5% | 4 | 2.1% |
| South | 215 | 9.1% | 138 | 11.7% | 8 | 0.8% | 69 | 35.6% |
| Northeast | 512 | 21.8% | 212 | 18.0% | 269 | 27.3% | 31 | 16.0% |
| West | 533 | 22.7% | 174 | 14.8% | 305 | 31.0% | 54 | 27.8% |
| Midwest | 1,093 | 46.5% | 651 | 55.4% | 402 | 40.9% | 40 | 20.6% |
a. The year in training numbers also include 14 students who were in combined MD/MBA, MD/MPH, or MD/PhD programs, who were categorized into the year of medical school they indicated currently being enrolled, or the last year of medical school completed before transitioning to graduate coursework.
b. Includes those gender identities other than cisgender identities, including transgender, gender fluid, agender, and gender nonbinary.
c. Includes participants who indicated their race was other than the listed options.
d. Includes sexual orientations other than the listed options, including asexual, demisexual, and pansexual.
e. Northeast: CT, ME, MA, NH, NJ, NY, PA, RI, VT; Midwest: IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI; South: AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV; West: AK, AZ, CA, CO, HI, ID, MT, NV, NM, OR, UT, WA, WY.
HIV and PrEP Knowledge Scale Analyses.
| HIV Knowledge Scale | PrEP Knowledge Scale | |||||||
|---|---|---|---|---|---|---|---|---|
| Unadjusted | Adjusted | Unadjusted | Adjusted | |||||
| Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | |||||
| Allopathic Medicine (MD) | 80.1% (79.3, 80.8) | 76.5% (74.6, 78.4) | 84.5% (83.7, 85.3) | 79.3% (77.2, 81.4) | ||||
| Osteopathic Medicine (DO) | 79.1% (78.4, 79.9) | .26 | 75.4% (73.4, 77.4) | .11 | 83.8% (83.0, 84.7) | .75 | 78.4% (76.2, 80.6) | .39 |
| Pharmacy | 79.3% (77.6, 80.9) | .99 | 76.3% (73.8, 78.8) | .99 | 83.0% (81.1, 84.8) | .42 | 77.8% (75.1, 80.6) | .51 |
| 1st year | 76.3% (75.3, 77.2) | 72.6% (70.5, 74.7) | 83.2% (82.2, 84.3) | 77.2% (74.9, 79.5) | ||||
| 2nd year | 79.8% (78.8, 80.8) | 75.9% (73.8, 78.0) | 84.2% (83.1, 85.4) | .99 | 78.4% (76.1, 80.7) | .56 | ||
| 3rd year | 81.1% (80.1, 82.2) | 76.9% (74.8, 79.1) | 84.1% (82.8, 85.3) | .99 | 78.1% (75.8, 80.5) | .99 | ||
| 4th+ year | 82.3% (81.2, 83.3) | 78.9% (76.7, 81.0) | 85.7% (84.4, 86.9) | 80.3% (77.9, 82.6) | ||||
| Not religious at all | 80.5% (79.5, 81.4) | 77.0% (75.0, 79.0) | 85.5% (84.6, 86.4) | 80.0% (77.8, 82.2) | ||||
| Somewhat Religious | 78.8% (77.3, 80.3) | .61 | 75.1% (72.8, 77.5) | .28 | 84.4% (82.7, 86.1) | .99 | 78.7% (76.1, 81.4) | .99 |
| Neither Religious/Non-Religious | 78.9% (77.8, 80.1) | .33 | 75.6% (73.5, 77.7) | .40 | 83.3% (81.9, 84.6) | 78.1% (75.8, 80.4) | .11 | |
| Moderately Religious | 80.0% (79.1, 80.9) | .99 | 76.9% (74.8, 79.0) | .99 | 83.9% (82.8, 85.0) | .35 | 78.8% (76.5, 81.1) | .99 |
| Very Religious | 78.4% (76.9, 80.0) | .27 | 75.7% (73.3, 78.2) | .99 | 81.7% (80.1, 83.4) | 76.9% (74.2, 79.5) | ||
| Man | 79.7% (78.9, 80.5) | 79.7% (78.1, 81.4) | 82.8% (81.8, 83.7) | 81.2% (79.5, 83.0) | ||||
| Woman | 79.7% (79.1, 80.4) | .99 | 80.5% (79.0, 82.0) | .44 | 85.2% (84.5, 85.8) | 84.2% (82.5, 85.9) | ||
| Gender Diverse | 68.0% (55.6, 80.4) | 68.0% (63.1, 72.8) | 71.7% (59.4, 84.1) | 70.1% (64.7, 75.4) | ||||
| White | 81.0% (80.4, 81.6) | 78.5% (76.6, 80.4) | 86.4% (85.8, 87.1) | 82.8% (80.7, 84.9) | ||||
| Black | 78.1% (74.1, 82.2) | .42 | 76.2% (73.0, 79.3) | .89 | 78.5% (74.0, 82.9) | 75.0% (71.5, 78.4) | ||
| Hispanic/Latino | 77.8% (74.8, 80.7) | .11 | 75.6% (72.6, 78.5) | .19 | 84.0% (81.2, 86.8) | .86 | 80.2% (77.0, 83.5) | .62 |
| Asian | 78.5% (77.7, 79.4) | 76.4% (74.3, 78.4) | 81.9% (81.0, 82.9) | 78.4% (76.1, 80.6) | ||||
| Other | 75.4% (72.7, 78.1) | 73.8% (71.4, 76.2) | 79.1% (76.3, 81.9) | 76.1% (73.5, 78.8) | ||||
| Heterosexual (straight) | 79.2% (78.7, 79.7) | 73.2% (71.3, 75.1) | 83.7% (83.2, 84.3) | 76.2% (74.1, 78.3) | ||||
| Gay/Lesbian | 88.0% (85.6, 90.3) | 83.2% (80.3, 86.1) | 89.4% (87.0, 91.8) | 83.0% (79.8, 86.2) | ||||
| Bisexual | 81.7% (79.5, 83.8) | .12 | 75.8% (73.1, 78.5) | .08 | 87.1% (85.2, 89.0) | 78.7% (75.7, 81.7) | .17 | |
| Other | 75.1% (67.5, 82.7) | .13 | 72.0% (68.5, 75.5) | .99 | 80.5% (73.0, 88.0) | .60 | 76.1% (72.3, 80.0) | .99 |
| South | 78.0% (76.1, 80.0) | 74.5% (72.1, 77.0) | 83.4% (81.3, 85.4) | 77.6% (74.9, 80.3) | ||||
| Northeast | 79.8% (78.7, 80.8) | .54 | 76.9% (74.8, 79.1) | .14 | 83.8% (82.7, 84.9) | .99 | 78.3% (75.9, 80.7) | .99 |
| West | 77.5% (76.3, 78.7) | .99 | 74.9% (72.8, 77.0) | .99 | 82.6% (81.3, 83.9) | .99 | 78.0% (75.7, 80.3) | .99 |
| Midwest | 80.9% (80.2, 81.6) | 77.9% (75.9, 80.0) | 85.2% (84.4, 85.9) | .44 | 80.1% (77.8, 82.3) | .12 | ||
Fig. 1Percent correct and incorrect for all PrEP/HIV knowledge items.
Knowledge item comparisons by phase of training.
| Percent Correct | |||||
|---|---|---|---|---|---|
| Early-Phase | Late-Phase | Early vs. Late | |||
| % | % | ||||
| Treatment for HIV can suppress viral load to an undetectable level (T) | 1,202 | 90.5% | 970 | 94.6% | |
| A person with an undetectable HIV viral load cannot transmit the virus to their sexual partners (T) | 495 | 37.3% | 420 | 41.0% | .07 |
| HIV is difficult to treat because treatment typically requires several pills with many side effects (F) | 388 | 29.2% | 349 | 34.0% | |
| There is a cure for HIV (F) | 1,244 | 93.7% | 944 | 92.1% | .14 |
| HIV can be transmitted by sharing a drink with someone who is HIV-positive (F) | 1,197 | 90.1% | 969 | 94.5% | |
| Once a person is diagnosed with HIV, they will have the virus for the rest of their life (T) | 1,258 | 94.7% | 964 | 94.0% | .48 |
| If a person is exposed to HIV, there is effective medicine that can be administered to prevent them from becoming HIV-positive (T) | 933 | 70.3% | 847 | 82.6% | |
| There is no risk of HIV from vaginal sex (F) | 1,298 | 97.7% | 1,006 | 98.1% | .50 |
| CD4+ cell count is used as a marker of how susceptible a person living with HIV is to opportunistic infections (T) | 1,271 | 95.7% | 992 | 96.8% | .18 |
| HIV damages the human immune system (T) | 1,268 | 95.5% | 981 | 95.7% | .79 |
| People living with HIV who are virally suppressed should not receive vaccines (F) | 917 | 69.1% | 863 | 84.2% | |
| New HIV infections occur disproportionately in men who have sex with men (T) | 1,015 | 76.4% | 783 | 76.4% | .98 |
| The incidence of HIV diagnoses in Black men who have sex with men is higher than for any other group of people in the U.S. (T) | 976 | 73.5% | 800 | 78.0% | |
| A patient must be HIV-negative to take PrEP (T) | 928 | 69.9% | 702 | 68.5% | .47 |
| Patients taking PrEP should have a follow-up HIV test at 3-month intervals (T) | 1,249 | 94.1% | 933 | 91.0% | |
| If a patient seroconverts (becomes HIV-positive) while taking PrEP, they may continue taking PrEP (F) | 941 | 70.9% | 703 | 68.6% | .23 |
| Infectious disease physicians are the only practitioners who can prescribe PrEP (F) | 1,263 | 95.1% | 981 | 95.7% | .49 |
| With daily dosing, PrEP is >90% effective in preventing HIV infection (T) | 1,195 | 90.0% | 951 | 92.8% | |
| There is limited scientific evidence to support the use of PrEP for HIV prevention (F) | 1,182 | 89.0% | 953 | 93.0% | |
| An HIV-positive patient with an undetectable HIV viral load can take PrEP (F) | 781 | 58.8% | 629 | 61.4% | .21 |
| PrEP is known to cause kidney failure in a majority of patients who take it (F) | 1,096 | 82.5% | 923 | 90.0% | |
| A patient is protected against HIV immediately after beginning PrEP (F) | 1,237 | 93.1% | 946 | 92.3% | .43 |
| PrEP may be used by men who have sex with men to prevent HIV (T) | 1,247 | 93.9% | 952 | 92.9% | .32 |
| PrEP may be used by people who inject drugs to prevent HIV (T) | 982 | 73.9% | 750 | 73.2% | .67 |
| PrEP is not effective for transgender and gender non-conforming people to prevent HIV (F) | 1,267 | 95.4% | 977 | 95.3% | .92 |
| PrEP is only used by men who have sex with men (F) | 1,266 | 95.3% | 991 | 96.7% | .10 |
| Adolescents (age 13–18) with risk-factors for HIV can take PrEP (T) | 919 | 69.2% | 807 | 78.7% | |
| A majority of prescriptions for PrEP are given to transgender women who have sex with men (F) | 1,072 | 80.7% | 863 | 84.2% | . |