| Literature DB >> 34750774 |
Rachel A Fikslin1,2,3, Alison J Goldberg1,2,3, Amanda N Gesselman4, Mora A Reinka5, Omaima Pervez1, Elissia T Franklin6,7, Olivia Ahn3, Devon M Price8,9.
Abstract
In the USA, the COVID-19 pandemic has created challenges beyond the direct consequences of the infection. Because of shifting resources in response to need, many domains within the healthcare sector unrelated to COVID-19 have had interrupted abilities to provide care. In the current study, we focus on preventative sexual health care during the pandemic. In a sample of 511 (mean age = 27.7) people, we examined quantitative data regarding continuation and discontinuation of birth control and PrEP during the pandemic, along with qualitative data illustrating the underlying reasons for participants' (dis)continuation. Results showed that most (92.5%) of birth control users reported continuation of their birth control, with the predominant reasons reported being use for health reasons, long-acting reversible contraceptive use, access to remote healthcare services, and increased vigilance over pregnancy prevention. Conversely, around half (52.6%) of PrEP-using participants reported already discontinuing or planning to discontinue their PrEP regimen. Temporary abstinence and concerns about accessing in-person health care were the predominant reasons for PrEP discontinuation. These results have implications for both researchers and sexual healthcare providers. Disruptions to preventative sexual health care should be considered in ongoing research about patient needs, and healthcare providers may wish to consider particular challenges faced by PrEP users concerning re-start and continuation.Entities:
Keywords: Birth control; COVID-19; PrEP; Preventative sexual health care
Mesh:
Year: 2021 PMID: 34750774 PMCID: PMC8574936 DOI: 10.1007/s10508-021-02086-6
Source DB: PubMed Journal: Arch Sex Behav ISSN: 0004-0002
Participant Demographics (N = 511)
| % or | ||
|---|---|---|
| Age | 27.73 | 9.13 |
| Racea | ||
| White | 369 | 72.21% |
| Native American or Alaska Native | 8 | 1.57% |
| East Asian | 24 | 4.70% |
| West Asian | 6 | 1.17% |
| Black/African American | 59 | 11.55% |
| Native Hawaiian or other Pacific Islander | 6 | 1.17% |
| Multiracial | 57 | 11.15% |
| Other | 28 | 5.48% |
| Latinx ( | 109 | 22.34% |
| Income ( | ||
| < $20,000 | 54 | 11.82% |
| $20,000–$55,000 | 101 | 22.10% |
| $55,000–$100,000 | 134 | 29.32% |
| $100,000 + | 119 | 26.04% |
| Don't know/prefer not to answer | 49 | 10.72% |
| Education ( | ||
| Less than BA | 169 | 36.82% |
| BA | 129 | 28.10% |
| More than BA | 156 | 33.99% |
| Other | 5 | 1.09% |
| Gender identity ( | ||
| Man | 235 | 46.63% |
| Woman | 217 | 43.06% |
| Non-binary | 44 | 8.73% |
| Agender | 3 | 0.60% |
| Do not know | 3 | 0.60% |
| Another gender identity not listed | 1 | 0.20% |
| Choose not to answer | 1 | 0.20% |
| Transgender ( | 48 | 9.45% |
| Sexual orientation ( | ||
| Asexual | 13 | 2.55% |
| Bisexual | 91 | 17.84% |
| Gay or lesbian | 84 | 16.47% |
| Heterosexual | 202 | 39.61% |
| Pansexual | 35 | 6.86% |
| Queer | 60 | 11.76% |
| I'm not sure | 14 | 2.75% |
| Another identity not listed | 11 | 2.16% |
| Relationship status ( | ||
| Single | 248 | 48.63% |
| One or more serious relationships | 251 | 49.22% |
| Other | 11 | 2.16% |
| Region ( | ||
| West | 115 | 23.09% |
| Midwest | 58 | 11.65% |
| South | 182 | 36.55% |
| Northeast | 140 | 28.11% |
| Pacific | 4 | 0.80% |
aParticipants were able to select all of the race and ethnicity categories presented. The total percentages equal greater than 100% because many participants selected more than one category
Descriptive characteristics of birth control users, continuers, and discontinuers
| Birth control User ( | Continuer ( | Discontinuer | ||||
|---|---|---|---|---|---|---|
| % or | % or | % or | ||||
| Age | 27.47 | 6.55 | 27.72 | 6.69 | 25.3 | 4.06 |
| Racea | ||||||
| White | 107 | 78.68 | 100 | 80.65 | 6 | 60.00 |
| Native American or Alaska Native | 4 | 2.94 | 3 | 2.42 | 1 | 10.00 |
| East Asian | 6 | 4.41 | 4 | 3.23 | 2 | 20.00 |
| West Asian | 2 | 1.47 | 2 | 1.61 | 0 | 0.00 |
| Black/African-American | 13 | 9.56 | 10 | 8.06 | 2 | 20.00 |
| Native Hawaiian or other Pacific Islander | 1 | 0.74 | 1 | 0.81 | 0 | 0.00 |
| Multiracial | 13 | 9.56 | 12 | 9.68 | 1 | 10.00 |
| Other | 4 | 2.94 | 4 | 3.23 | 0 | 0.00 |
| Latinx ( | 28 | 21.54 | 25 | 21.19 | 2 | 20.00 |
| Income ( | ||||||
| < $20,000 | 13 | 10.00 | 13 | 10.92 | 0 | 0.00 |
| $20,000-$55,000 | 24 | 18.46 | 20 | 16.81 | 4 | 40.00 |
| $55,000-$100,000 | 44 | 33.85 | 42 | 35.29 | 2 | 20.00 |
| $100,000 + | 39 | 30.00 | 38 | 31.93 | 1 | 10.00 |
| Don’t know/prefer not to answer | 10 | 7.69 | 6 | 5.04 | 3 | 30.00 |
| Education ( | ||||||
| Less than BA | 30 | 23.08 | 28 | 23.53 | 1 | 10.00 |
| BA | 41 | 31.54 | 36 | 30.25 | 5 | 50.00 |
| More than BA | 58 | 44.62 | 54 | 45.38 | 4 | 40.00 |
| Other | 1 | 0.77 | 1 | 0.84 | 0 | 0.00 |
| Gender identity | ||||||
| Man | 23 | 16.91 | 23 | 18.55 | 0 | 0.00 |
| Woman | 97 | 71.32 | 85 | 68.55 | 10 | 100.00 |
| Non-binary | 13 | 9.56 | 13 | 10.48 | 0 | 0.00 |
| Agender | 3 | 2.21 | 3 | 2.42 | 0 | 0.00 |
| Transgender | 13 | 9.56 | 13 | 10.48 | 0 | 0.00 |
| Sexual orientation ( | ||||||
| Asexual | 3 | 2.22 | 2 | 1.61 | 0 | 0.00 |
| Bisexual | 34 | 25.19 | 32 | 25.81 | 1 | 11.11 |
| Gay or lesbian | 4 | 2.96 | 4 | 3.23 | 0 | 0.00 |
| Heterosexual | 60 | 44.44 | 56 | 45.16 | 4 | 44.44 |
| Pansexual | 12 | 8.89 | 10 | 8.06 | 2 | 22.22 |
| Queer | 17 | 12.59 | 16 | 12.90 | 1 | 11.11 |
| I’m not sure | 3 | 2.22 | 2 | 1.61 | 1 | 11.11 |
| Another identity not listed | 2 | 1.48 | 2 | 1.61 | 0 | 0.00 |
| Relationship status ( | ||||||
| Single | 32 | 23.70 | 26 | 20.97 | 5 | 50.00 |
| One or more serious relationships | 103 | 76.30 | 97 | 78.23 | 5 | 50.00 |
| Other | 0 | 0.00 | 0.00 | 0.00 | ||
| Region ( | ||||||
| West | 35 | 25.93 | 33 | 26.61 | 1 | 11.11 |
| Midwest | 16 | 11.85 | 15 | 12.10 | 1 | 11.11 |
| South | 48 | 35.56 | 42 | 33.87 | 5 | 55.56 |
| Northeast | 36 | 26.67 | 34 | 27.42 | 2 | 22.22 |
| Pacific | 0 | 0.00 | 0.00 | 0.00 | ||
| Sexual behavior | ||||||
| Currently having sex with anyone outside of household/isolation pod | 17 | 12.50 | 16 | 12.90% | 1 | 10.00% |
| Oral sex in the past 12 months | 121 | 88.97% | 112 | 90.32% | 9 | 90.00% |
| Penetrative intercourse (either anal or vaginal) in the last 12 months | 122 | 89.71% | 113 | 91.13% | 9 | 90.00% |
| Engaged in any partnered activity since the beginning of the pandemic | 93 | 69.40% | 87 | 70.73% | 6 | 60.00% |
| Engaged in any partnered activity in the past two weeks | 79 | 58.96% | 74 | 60.16% | 5 | 50.00% |
| Planning on engaging in partnered sexual activity in the next two weeks | 84 | 62.69% | 78 | 63.41% | 6 | 60.00% |
| Number of sex partners last 3 months | 1.21 | 1.06 | 1.22 | 1.09 | 1 | 0.54 |
| Number of times gave oral sex in past 30 days | 4.39 | 5.37 | 4.31 | 5.3 | 5.44 | 6.41 |
| Number of times received oral sex in past 30 days | 3.89 | 7.19 | 3.76 | 7.17 | 5.44 | 7.7 |
| Number of times had vaginal sex in past 30 days | 6.74 | 8.14 | 6.81 | 8.29 | 5.89 | 6.39 |
| Number of times had anal sex in past 30 days | 0.50 | 1.47 | 0.54 | 1.53 | 0 | 0 |
| Percentage of time used a condom during intercourse in past 30 days | 16.11 | 33.51 | 16.73 | 34.26 | 5.17 | 12.17 |
| Likelihood of needing access to PrEP/PEP during lockdownb | 1.37 | 1.27 | 1.41 | 1.32 | 1 | 0 |
| Likelihood of needing access to contraceptives during lockdownb | 3.51 | 2.78 | 3.58 | 2.79 | 3 | 2.83 |
| Likelihood of needing access to morning after pill/emergency contraception during lockdownb | 1.56 | 1.36 | 1.59 | 1.39 | 1.3 | 0.95 |
aParticipants were able to select all of the race and ethnicity categories presented. The total percentages equal greater than 100% because many participants selected more than one category. bLikelihood of needing sexual healthcare services rated on a 7-point Likert scale (1 = very unlikely, 7 = very likely)
Full sample sexual behavior
| % or | ||
|---|---|---|
| Currently having sex with anyone outside of household/isolation pod | ||
| Yes | 64 | 12.52 |
| No | 447 | 87.48 |
| Oral sex in the past 12 months | ||
| Yes | 377 | 73.78 |
| No | 134 | 26.22 |
| Penetrative intercourse (either anal or vaginal) in the last 12 months ( | ||
| Yes | 340 | 66.67 |
| No | 170 | 33.33 |
| Engaged in any partnered activity since the beginning of the pandemic ( | ||
| Yes | 254 | 50.60 |
| No | 248 | 49.40 |
| Engaged in any partnered activity in the past two weeks ( | ||
| Yes | 187 | 37.33 |
| No | 314 | 62.67 |
| Planning on engaging in partnered sexual activity in the next two weeks ( | ||
| Yes | 212 | 42.40 |
| No | 288 | 57.60 |
| Number of sex partners last 3 months (n = 379) | 1.67 | 2.78 |
| Number of times gave oral sex in past 30 days (n = 370) | 3.12 | 4.97 |
| Number of times received oral sex in past 30 days (n = 372) | 2.98 | 6.04 |
| Number of times had vaginal sex in past 30 days (n = 334) | 4.26 | 7.36 |
| Number of times had anal sex in past 30 days (n = 332) | 1.06 | 3.61 |
| Percentage of time used a condom during intercourse (vaginal or anal) in past 30 days (0–100%) (n = 289) | 23.60 | 39.10 |
| Likelihood of needing access to PrEP/PEP during lockdown (n = 492)a | 1.59 | 1.56 |
| Likelihood of needing access to contraceptives during lockdown (n = 490)a | 2.20 | 2.14 |
| Likelihood of needing access to morning after pill/emergency contraception during lockdown (n = 488)a | 1.40 | 1.05 |
aLikelihood of needing sexual healthcare services rated on a 7-point Likert scale (1 = very unlikely, 7 = very likely)
Descriptive characteristics of PrEP users, continuers, and discontinuers
| PrEP user ( | Continuer ( | Discontinuer | ||||
|---|---|---|---|---|---|---|
| % or | % or | % or | ||||
| Age | 35.23 | 8.65 | 35.15 | 9.82 | 35.3 | 7.62 |
| Racea | ||||||
| White | 41 | 71.93% | 19 | 70.37% | 22 | 73.33% |
| Native American or Alaska Native | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
| East Asian | 1 | 1.75% | 0 | 0.00% | 1 | 3.33% |
| West Asian | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
| Black/African-American | 6 | 10.53% | 3 | 11.11% | 3 | 10.00% |
| Native Hawaiian or other Pacific Islander | 1 | 1.75% | 1 | 3.70% | 0 | 0.00% |
| Multiracial | 7 | 12.28% | 3 | 11.11% | 4 | 13.33% |
| Other | 3 | 5.26% | 1 | 3.70% | 2 | 6.67% |
| Latinx ( | 8 | 14.29% | 3 | 11.11% | 5 | 17.24% |
| Income ( | ||||||
| < $20,000 | 9 | 17.31% | 5 | 20.83% | 4 | 14.29% |
| $20,000-$55,000 | 9 | 17.31% | 6 | 25.00% | 3 | 10.71% |
| $55,000-$100,000 | 15 | 28.85% | 5 | 20.83% | 10 | 35.71% |
| $100,000 + | 19 | 36.54% | 8 | 33.33% | 11 | 39.29% |
| Don’t know/prefer not to answer | 0 | 0.00% | 0.00% | 0.00% | ||
| Education ( | ||||||
| Less than BA | 5 | 9.62% | 2 | 8.33% | 3 | 10.71% |
| BA | 20 | 38.46% | 6 | 25.00% | 14 | 50.00% |
| More than BA | 26 | 50.00% | 15 | 62.50% | 11 | 39.29% |
| Other | 1 | 1.92% | 1 | 4.17% | 0 | 0.00% |
| Gender identity ( | ||||||
| Man | 52 | 92.86% | 27 | 100.00% | 25 | 86.21% |
| Woman | 1 | 1.79% | 0 | 0.00% | 1 | 3.45% |
| Non-binary | 2 | 3.57% | 0 | 0.00% | 2 | 6.90% |
| Another gender not listed | 1 | 1.79% | 0 | 0.00% | 1 | 3.45% |
| Transgender ( | 7 | 12.50% | 3 | 11.11% | 4 | 13.79% |
| Sexual orientation | ||||||
| Asexual | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
| Bisexual | 2 | 3.51% | 2 | 7.41% | 0 | 0.00% |
| Gay or lesbian | 42 | 73.68% | 20 | 74.07% | 22 | 73.33% |
| Heterosexual | 3 | 5.26% | 0 | 0.00% | 3 | 10.00% |
| Pansexual | 1 | 1.75% | 1 | 3.70% | 0 | 0.00% |
| Queer | 7 | 12.28% | 4 | 14.81% | 3 | 10.00% |
| I'm not sure | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% |
| Another identity not listed | 2 | 3.51% | 0 | 0.00% | 2 | 6.67% |
| Relationship status | ||||||
| Single | 31 | 54.39% | 13 | 48.15% | 18 | 60.00% |
| One or more serious relationships | 19 | 33.33% | 9 | 33.33% | 10 | 33.33% |
| Other | 7 | 12.28% | 5 | 18.52% | 2 | 6.67% |
| Region ( | ||||||
| West | 4 | 7.14% | 1 | 3.70% | 3 | 10.00% |
| Midwest | 3 | 5.36% | 1 | 3.70% | 2 | 6.67% |
| South | 25 | 44.64% | 13 | 48.15% | 12 | 40.00% |
| Northeast | 23 | 41.07% | 11 | 40.74% | 12 | 40.00% |
| Pacific | 1 | 1.79% | 1 | 3.70% | 0 | 0.00% |
| Sexual behavior | ||||||
| Currently having sex with anyone outside of household/isolation pod | 17 | 29.82% | 14 | 51.85% | 3 | 10.00% |
| Oral sex in the past 12 months | 56 | 98.25% | 27 | 100.00% | 29 | 96.67% |
| Penetrative intercourse in the last 12 months | 54 | 94.74% | 27 | 100.00% | 27 | 90.00% |
| Engaged in any partnered activity since the beginning of the pandemic | 37 | 64.91% | 21 | 77.78% | 16 | 53.33% |
| Engaged in any partnered activity in the past two weeks | 27 | 47.37% | 18 | 66.67% | 9 | 30.00% |
| Planning on engaging in partnered sexual activity in the next two weeks | 29 | 50.88% | 19 | 70.37% | 10 | 33.33% |
| Number of sex partners last 3 months | 5.20 | 5.80 | 6.69 | 6.99 | 3.86 | 4.15 |
| Number of times gave oral sex in past 30 days | 2.70 | 4.94 | 4.23 | 6.33 | 1.29 | 2.54 |
| Number of times received oral sex in past 30 days | 3.09 | 6.00 | 4.19 | 6.13 | 2.1 | 5.8 |
| Number of times had vaginal sex in past 30 days | 0.83 | 2.20 | 1 | 2.56 | 0.67 | 1.82 |
| Number of times had anal sex in past 30 days | 3.63 | 7.42 | 5.35 | 8.3 | 1.92 | 6.1 |
| Percentage of time used a condom during intercourse in past 30 days | 9.24 | 22.02 | 10 | 24.88 | 8.12 | 17.64 |
| Likelihood of needing access to PrEP/PEP during lockdown | 4.69 | 2.40 | 6.04 | 1.64 | 3.48 | 2.36 |
| Likelihood of needing access to contraceptives during lockdown | 1.38 | 1.38 | 1.44 | 1.53 | 1.32 | 1.25 |
| Likelihood of needing access to morning after pill/emergency contraception during lockdown | 1.17 | 0.92 | 1.24 | 1.2 | 1.11 | 0.58 |
aParticipants were able to select all of the race and ethnicity categories presented. The total percentages equal greater than 100% because many participants selected more than one category. bLikelihood of needing sexual healthcare services rated on a 7-point Likert scale (1 = very unlikely, 7 = very likely)