| Literature DB >> 29939488 |
Sarah K Calabrese1,2, Valerie A Earnshaw3, Kristen Underhill4,5, Douglas S Krakower6,7,8, Manya Magnus9, Nathan B Hansen10, Kenneth H Mayer6,7,11, Joseph R Betancourt12, Trace S Kershaw2, John F Dovidio2,13.
Abstract
INTRODUCTION: Despite healthcare providers' growing awareness of pre-exposure prophylaxis (PrEP), prescription rates remain low. PrEP is an efficacious HIV prevention strategy recommended for use with condoms but still protective in their absence. Concern about the impact of PrEP on condom use and other risk behaviour is, nonetheless, among the barriers to prescription commonly reported. To understand the implications of this concern for PrEP access, we examined how medical students' willingness to prescribe PrEP varied by patients' condom use and partnering practices. We also assessed the perceived acceptability of various reasons for condom discontinuation with PrEP.Entities:
Keywords: zzm321990HIVzzm321990; health personnel; healthcare disparities; pre-exposure prophylaxis; prescriptions; sexual minorities
Mesh:
Year: 2018 PMID: 29939488 PMCID: PMC6016621 DOI: 10.1002/jia2.25147
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Sample characteristics (n = 111)
| n (%) | |
|---|---|
| Age | |
| <25 years | 62 (55.9) |
| ≥25 years | 49 (44.1) |
| Race/ethnicity | |
| White | 69 (62.2) |
| Asian | 30 (27.0) |
| Black/African American | 7 (6.3) |
| Latino/Hispanic | 3 (2.7) |
| Other | 2 (1.8) |
| Gender | |
| Female | 73 (65.8) |
| Male | 37 (33.3) |
| Other | 1 (0.9) |
| Sexual orientation | |
| Heterosexual | 96 (86.5) |
| Bisexual | 6 (5.4) |
| Gay/Lesbian | 6 (5.4) |
| Other | 3 (2.7) |
| Years of medical school completed | |
| <1 (currently in first year) | 24 (21.6) |
| 1 (currently in second year) | 37 (33.3) |
| 2 (currently in third year) | 27 (24.3) |
| ≥3 (currently in fourth year+) | 23 (20.7) |
| PrEP familiarity | |
| Heard of PrEP | 94 (84.7) |
| Never heard of PrEP | 17 (15.3) |
| Prior PrEP education | |
| Learned about PrEP in medical school | 56 (50.5) |
| Did not learn about PrEP in medical school | 55 (49.5) |
PrEP, pre‐exposure prophylaxis.
Figure 1Medical students’ willingness to prescribe pre‐exposure prophylaxis (PrEP) for a hypothetical male patient. Patient condom use and partnering practices were systematically varied using a 3 × 2 within‐subjects design such that every participant rated six patients with differing combinations of condom use and partnering practices. AORs represent the effect of partnering practice on willingness to prescribe within each condom use category, adjusting for relevant background characteristics (age, race/ethnicity, gender, sexual orientation, and prior PrEP education).
Additive and interaction effects of condom use and partnering practices on willingness to prescribe PrEP
| Model | Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|---|
| Wald χ2 | df |
| Wald χ2 | df |
| |
| 1. Additive effects | ||||||
| Condom use | 100.42 | 2 | <0.001 | 100.76 | 2 | <0.001 |
| Partnering practice | 5.79 | 1 | 0.016 | 6.21 | 1 | 0.013 |
| 2. Conditional and interaction effects | ||||||
| Condom use | 95.73 | 2 | <0.001 | 96.40 | 2 | <0.001 |
| Partnering practice | 5.67 | 1 | 0.017 | 5.85 | 1 | 0.016 |
| Condom use × partnering practice | 6.63 | 2 | 0.036 | 6.57 | 2 | 0.037 |
PrEP, pre‐exposure prophylaxis.
Model adjusted for relevant background characteristics (age, race/ethnicity, gender, sexual orientation, and prior PrEP education).
Comparisons of willingness to prescribe PrEP across condom use categories and partnering practices (additive model)
| Unadjusted | Adjusted | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI |
| AOR | 95% CI |
| |
| Sustained condom use (ref) | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Sustained nonuse | 0.14 | 0.08, 0.23 | <0.001 | 0.14 | 0.09, 0.23 | <0.001 |
| Planned discontinuation | 0.05 | 0.03, 0.09 | <0.001 | 0.05 | 0.03, 0.09 | <0.001 |
| Single partner (ref) | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Multiple partners | 0.77 | 0.63, 0.95 | 0.016 | 0.76 | 0.61, 0.94 | 0.013 |
PrEP, pre‐exposure prophylaxis.
Model adjusted for relevant background characteristics (age, race/ethnicity, gender, sexual orientation, and prior PrEP education).
Comparison of willingness to prescribe PrEP for patients with single versus multiple partners, stratified by condom use
| Condom use category | Partnering practice | Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI |
| AOR | 95% CI |
| ||
| Sustained condom use | Single partner (ref) | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Multiple partners | 0.46 | 0.23, 0.94 | 0.033 | 0.45 | 0.21, 0.95 | 0.035 | |
| Sustained nonuse | Single partner (ref) | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Multiple partners | 0.72 | 0.56, 0.93 | 0.011 | 0.72 | 0.56, 0.93 | 0.011 | |
| Planned discontinuation | Single partner (ref) | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Multiple partners | 1.05 | 0.76, 1.44 | 0.781 | 1.05 | 0.76, 1.45 | 0.782 | |
PrEP, pre‐exposure prophylaxis.
To probe the interaction, the effect of partnering practice was examined in separate models for sustained condom use, sustained nonuse, and planned discontinuation.
Model adjusted for relevant background characteristics (age, race/ethnicity, gender, sexual orientation, and prior PrEP education).
Perceived acceptability of reasons a man may discontinue condoms while taking PrEP
| Reason for discontinuing condoms | Participants reporting reason to be acceptable | Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|---|---|
| n (%) | OR | 95% CI |
| AOR | 95% CI |
| |
| Conception (ref) | 76 (68.5) | ‐ | ‐ | ‐ | ‐ | ‐ | ‐ |
| Intimacy | 26 (23.4) | 0.14 | 0.08, 0.24 | <0.001 | 0.14 | 0.08, 0.24 | <0.001 |
| Pleasure | 16 (14.4) | 0.08 | 0.04, 0.15 | <0.001 | 0.08 | 0.04, 0.14 | <0.001 |
| Sexual functioning | 14 (12.6) | 0.07 | 0.04, 0.13 | <0.001 | 0.07 | 0.03, 0.13 | <0.001 |
PrEP, pre‐exposure prophylaxis.
Reasons were not mutually exclusive (participants could report multiple reasons to be acceptable).
Model adjusted for relevant background characteristics (age, race/ethnicity, gender, sexual orientation, and prior PrEP education).