Abstract
The COVID-19 pandemic is reinforcing health inequities among vulnerable populations, including men who have sex with men (MSM). We conducted a rapid online survey (April 2 to April 13, 2020) of COVID-19 related impacts on the sexual health of 1051 US MSM. Many participants had adverse impacts to general wellbeing, social interactions, money, food, drug use and alcohol consumption. Half had fewer sex partners and most had no change in condom access or use. Some reported challenges in accessing HIV testing, prevention and treatment services. Compared to older MSM, those 15–24 years were more likely to report economic and service impacts. While additional studies of COVID-19 epidemiology among MSM are needed, there is already evidence of emerging interruptions to HIV-related services. Scalable remote solutions such as telehealth and mailed testing and prevention supplies may be urgently needed to avert increased HIV incidence among MSM during the COVID-19 pandemic era.
Electronic supplementary material
The online version of this article (10.1007/s10461-020-02894-2) contains supplementary material, which is available to authorized users.
Keywords: Coronavirus, COVID-19, MSM, Gay, HIV
Introduction
The COVID-19 pandemic, caused by the 2019 novel coronavirus (SARS-CoV-2), was first documented in China in December 2019 with cases identified in the United States shortly thereafter [1, 2]. As of 6 April 2020, there were 330,891 COVID-19 cases in the US with every US state impacted [3]. Though the majority of cases have been diagnosed in densely populated urban areas, substantial numbers of cases are being reported in smaller communities across the country, albeit with far less SARS-CoV-2 testing infrastructure.
With limited evidence supporting specific pharmaceutical treatment strategies and no vaccine available, the current response has included general COVID-19 mitigation efforts, testing, and healthcare infrastructure supports to slow the spread of the virus that causes COVID-19 and avert as many deaths as possible [4]. The COVID-19 pandemic is also exacerbating multiple health and wellness disparities such as unequal distribution of SARS-CoV-2 acquisition and transmission risks, more severe clinical courses in some patients, and reduced access to food, housing, ongoing medical care, and prescription medications. Given intersecting biological and structural risks, gay, bisexual and other men who have sex with men (MSM) have long been understood to be far more likely to be at risk for and living with HIV than other reproductive aged adults in the US [5]. Over one-third of MSM in the US who are already diagnosed with HIV are not on adequate treatment and may be immunocompromised, potentially increasing risks associated with COVID-19 [6]. MSM at risk of HIV infection may also continue to engage in risky health behaviors or have problems accessing necessary sexual health and HIV prevention services during the COVID-19 pandemic. Younger MSM may be more impacted by the economic effects of COVID-19 and may be particularly vulnerable to reduced access to these services [7].
Characterizing the impacts of the US COVID-19 epidemic and response among MSM with and without diagnosed HIV infection may emphasize the need for new approaches to engaging affected communities with remote services. Since 2013, we have used remote procedures to engage 10,000 US MSM each year in an online behavioral survey, the American Men’s Internet Survey (AMIS) and have conducted mailed HIV/STI testing the past 2 years [8]. Our research group is also validating at-home self-collection of specimens for SARS-CoV-2 testing and plan on implementing a COVID-19 prevalence survey this spring. As part of the planning for that study, we conducted a brief survey with previous AMIS participants to understand how COVID-19 is impacting their general wellbeing, sexual health, substance use and access to HIV prevention and treatment services.
Methods
Participants and Procedures
AMIS is conducted in annual rounds with a goal of at least 10,000 complete surveys from eligible US MSM each year [8, 9]. Briefly, participants are recruited each year through convenience sampling from a variety of websites and through social media applications using banner ads and email blasts to members. Participants were eligible to participate if they were age 15 years or older, male sex at birth, resided in the US, and reported oral or anal sex with a man at least once at any time in the past. Participants of the August through December 2019 AMIS data collection cycle who provided their email address for future study invitations were sent a link to a special COVID-19 impact survey screener where AMIS eligibility was reassessed. If they still met the eligibility criteria and consented to participate in the COVID-19 impact study, they immediately started the online secure survey. No incentive was provided to participants.
Measures
The survey measured COVID-19 related impacts on several areas: general wellbeing; sexual and substance use behavior; HIV and STI prevention; and HIV treatment (see supplemental file for COVID-19 related questions). Participants were asked to report whether they had COVID-19 related increases, decreases or no changes (or no changes due to COVID-19) in each of the items. Participants were also asked to report on their local area’s COVID-19 mitigation plans, how well they adhered to them, and any recent symptoms, risks and COVID-19 diagnoses. We also asked several questions regarding willingness to collect various specimens at home for research or for clinical diagnosis of COVID-19 disease. The survey collected standard demographic information and self-reported HIV status.
Analyses
The prevalence of COVID-19 related impacts was calculated overall and stratified by age groups of 15–24 years and 25 + years. Differences in the prevalence of adverse COVID-19 related impacts by participant age are reported as bivariate prevalence ratios (PR) and 95% confidence intervals (CI). When the potential beneficial change (either increased or decreased depending on the measure) was infrequent, the comparison group for the adverse change PR calculations collapsed the no change or potential beneficial change categories. PRs for trouble accessing services due to COVID-19 were only examined among those who had attempted to access those services. The age group comparisons were not performed for HIV treatment because there were too few participants age 15–24 who were living with HIV infection. Analyses were conducted using SAS 9.4 (SAS Institute, Cary, NC).
Results
Study Sample
There were 1051 completed responses collected from April 2 through April 13, 2020. The median age of participants was 35 years (SD = 15.83) and most were white, non-Hispanic, had private health insurance at the start of the COVID-19 pandemic, lived in urban or suburban counties, and were from the US South (Table 1). A substantial proportion of participants were Hispanic or Latino, had public health insurance, were food insecure in the past year, and were from small/medium metropolitan counties. Eleven percent (n = 122) of participants had a previous HIV diagnosis. Over one-third of participants had symptoms in the past 24 h, including 16.2% who reported a cough. Few participants had contact with someone with COVID-19 disease, but over one-quarter reported that they did not know if they had these contacts. Only 1 participant had been diagnosed with COVID-19. All but 1 participant reported that their local area was under a stay-at-home order. When asked about compliance with local COVID-19 measures, 20.1% (173/861) of participants reported 100% adherence, 71.4% (615/861) reported greater than 50% but less than 100% adherence, and 8.5% (73/861) reported less than 50% adherence to the measures (n = 190 did not answer this question).
Table 1.
Characteristics of Men who have Sex with Men Who Participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 1051) |
||
|---|---|---|
| N | (%) | |
| Age (years) | ||
| 15–24 | 214 | (20.4) |
| 25–29 | 179 | (17.0) |
| 30–39 | 210 | (20.0) |
| 40 + | 448 | (42.6) |
| Race/ethnicity | ||
| Black, non-Hispanic | 89 | (8.5) |
| Hispanic or Latino | 146 | (13.9) |
| White, non-Hispanic | 740 | (70.4) |
| Other or multiple races | 65 | (6.2) |
| Health insurance | ||
| None | 59 | (5.6) |
| Private only | 781 | (74.3) |
| Public only | 152 | (14.5) |
| Other or multiple insurance | 53 | (5.0) |
| Food insecure past 12 months | ||
| No | 891 | (84.8) |
| Yes | 155 | (14.8) |
| Population density | ||
| Urban | 452 | (43.0) |
| Suburban | 222 | (21.1) |
| Small/medium metropolitan | 281 | (26.7) |
| Rural | 94 | (8.9) |
| Region | ||
| Northeast | 187 | (17.8) |
| Midwest | 194 | (18.5) |
| South | 427 | (40.6) |
| West | 241 | (22.9) |
| US Territories | 2 | (0.2) |
| Local COVID-19 measures | ||
| No | 1 | (0.1) |
| Yes | 1050 | (99.9) |
| Self-reported HIV status | ||
| Positive | 122 | (11.6) |
| Negative or unknown | 929 | (88.4) |
| Symptoms in Past 24 h | ||
| No symptoms | 654 | (62.2) |
| Fever | 9 | (0.9) |
| Cough | 170 | (16.2) |
| Shortness of breath | 47 | (4.5) |
| Muscle aches | 46 | (4.4) |
| Diarrhea | 59 | (5.6) |
| Other (Less Likely COVID-19)a | 270 | (25.7) |
| Close contact with someone with COVID-19 | ||
| No | 731 | (69.6) |
| Yes | 36 | (3.4) |
| Don't know | 279 | (26.6) |
| COVID-19 diagnosis | ||
| No | 1046 | (99.5) |
| Yes | 1 | (0.1) |
aOther symptoms included sneezing, sore throat and feeling of being unwell
General Impacts
The majority of participants had decreased quality of life, increased anxiety, and decreased connection to friends due to COVID-19 or the plans to manage it (Table 2). Substantial proportions of participants also had decreased quality of sleep and decreased connection to family. Large proportions of participants had also experienced problems with basic resource needs, including difficulties buying food, paying rent, decreased work hours, and increased needs to support family members or partners who had lost their jobs. Many participants (n = 201, 19.1%) reported losing their job due to COVID-19, but few had lost their health insurance or were experiencing homelessness. Young participants were more likely to have COVID-19 related impacts on their economic resources.
Table 2.
General COVID-19 impacts among United States men who have sex with men who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 1051) | Participants 15 to 24 years (N = 214) | Participants 25 + years (N = 837) | PR (CI)a | ||||
|---|---|---|---|---|---|---|---|
| n | (%) | n | (%) | n | (%) | ||
| Quality of life | |||||||
| Decreased/less | 729 | (69.4) | 152 | (71.0) | 577 | (68.9) | 1.03 (0.93, 1.13) |
| No change | 275 | (26.2) | 50 | (23.4) | 225 | (26.9) | Ref. |
| Increased/more | 46 | (4.4) | 12 | (5.6) | 34 | (4.1) | |
| Anxiety | |||||||
| Decreased/less | 36 | (3.4) | 13 | (6.1) | 23 | (2.7) | Ref. |
| No change | 248 | (23.6) | 49 | (22.9) | 199 | (23.8) | |
| Increased/more | 764 | (72.7) | 150 | (70.1) | 614 | (73.4) | 0.96 (0.88, 1.06) |
| Quality of sleep | |||||||
| Decreased/less | 389 | (37.0) | 79 | (36.9) | 310 | (37.0) | 1.00 (0.82, 1.21) |
| No change | 530 | (50.4) | 92 | (43.0) | 438 | (52.3) | Ref. |
| Increased/more | 131 | (12.5) | 43 | (20.1) | 88 | (10.5) | |
| Feeling connected to family | |||||||
| Decreased/less | 313 | (29.8) | 64 | (29.9) | 249 | (29.7) | 1.00 (0.80, 1.26) |
| No change | 482 | (45.9) | 84 | (39.3) | 398 | (47.6) | Ref. |
| Increased/more | 254 | (24.2) | 66 | (30.8) | 188 | (22.5) | |
| Feeling connected to friends | |||||||
| Decreased/less | 590 | (56.1) | 133 | (62.1) | 457 | (54.6) | 1.13 (1.00, 1.28) |
| No change | 293 | (27.9) | 57 | (26.6) | 236 | (28.2) | Ref. |
| Increased/more | 165 | (15.7) | 24 | (11.2) | 141 | (16.8) | |
| Access to food or money | |||||||
| Decreased/less | 466 | (44.3) | 109 | (50.9) | 357 | (42.7) | 1.19 (1.02, 1.39) |
| No change | 547 | (52.1) | 90 | (42.1) | 457 | (54.6) | Ref. |
| Increased/more | 37 | (3.5) | 15 | (7.0) | 22 | (2.6) | |
| Difficulty buying food | |||||||
| Decreased/less | 45 | (4.3) | 9 | (4.2) | 36 | (4.3) | Ref. |
| No change | 508 | (48.3) | 98 | (45.8) | 410 | (49.0) | |
| Increased/more | 495 | (47.1) | 107 | (50.0) | 388 | (46.4) | 1.07 (0.92, 1.25) |
| Difficulty paying rent | |||||||
| Decreased/less | 23 | (2.2) | 4 | (1.9) | 19 | (2.3) | Ref. |
| No change | 841 | (80.0) | 154 | (72.0) | 687 | (82.1) | |
| Increased/more | 182 | (17.3) | 55 | (25.7) | 127 | (15.2) | 1.69 (1.28, 2.24) |
| Access or stability of internet | |||||||
| Decreased/less | 126 | (12.0) | 35 | (16.4) | 91 | (10.9) | 1.50 (1.04, 2.15) |
| No change | 864 | (82.2) | 167 | (78.0) | 697 | (83.3) | Ref. |
| Increased/more | 57 | (5.4) | 12 | (5.6) | 45 | (5.4) | |
| Number of paid work hours | |||||||
| Decreased/less | 340 | (32.4) | 107 | (50.0) | 233 | (27.8) | 1.79 (1.51, 2.13) |
| No change | 653 | (62.1) | 96 | (44.9) | 557 | (66.5) | Ref. |
| Increased/more | 50 | (4.8) | 10 | (4.7) | 40 | (4.8) | |
| Need to support family or partners who lost job | |||||||
| Decreased/less | 36 | (3.4) | 11 | (5.1) | 25 | (3.0) | Ref. |
| No change | 799 | (76.0) | 165 | (77.1) | 634 | (75.7) | |
| Increased/more | 212 | (20.2) | 38 | (17.8) | 174 | (20.8) | 0.85 (0.62, 1.17) |
| Lost job | |||||||
| No | 828 | (78.8) | 139 | (65.0) | 689 | (82.3) | Ref. |
| Yes, COVID-related | 201 | (19.1) | 69 | (32.2) | 132 | (15.8) | 2.06 (1.61, 2.64) |
| Yes, other reason | 21 | (2.0) | 6 | (2.8) | 15 | (1.8) | – |
| Lost health insurance | |||||||
| No | 1001 | (95.2) | 202 | (94.4) | 799 | (95.5) | Ref. |
| Yes, COVID-related | 20 | (1.9) | 6 | (2.8) | 14 | (1.7) | 1.68 (0.65, 4.31) |
| Yes, other reason | 29 | (2.8) | 6 | (2.8) | 23 | (2.7) | – |
| Homeless or Moved in with Friend because can't pay housing cost | |||||||
| No | 1020 | (97.1) | 206 | (96.3) | 814 | (97.3) | Ref. |
| Yes, COVID-related | 15 | (1.4) | 5 | (2.3) | 10 | (1.2) | 1.95 (0.67, 5.65) |
| Yes, other reason | 15 | (1.4) | 3 | (1.4) | 12 | (1.4) | – |
aPrevalence ratios (PR) with 95% confidence intervals (CI) are from bivariate modified Poisson regression models testing associations between age group and outcome. Bold indicates significant at P < 0.05
Sexual and Substance Use Behavior Impacts
The majority of participants reported fewer sex partners and opportunities to have sex due to COVID-19 or the plans to manage it (Table 3). Many participants also had decreased use of dating or hook-up apps, but many had unchanged usage and a substantial proportion reported increased usage of these apps to connect with other men but not to meet them in person. Condom access and usage were unchanged due to COVID-19. One-tenth of participants had increased use of recreational drugs and one-quarter had increased alcohol consumption. Young participants were more likely to have increased use of apps to connect to men, problems accessing condoms, and increased drug and alcohol use due to COVID-19.
Table 3.
Sexual health and substance use COVID-19 impacts among United States men who have sex with men who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 1051) | Participants 15 to 24 years (N = 214) | Participants 25 + years (N = 837) | PR (CI)a | ||||
|---|---|---|---|---|---|---|---|
| n | (%) | n | (%) | n | (%) | ||
| Number of sex partners | |||||||
| Decreased/less | 539 | (51.3) | 97 | (45.3) | 442 | (52.8) | 0.86 (0.73, 1.00) |
| No change | 500 | (47.6) | 114 | (53.3) | 386 | (46.1) | Ref. |
| Increased/more | 9 | (0.9) | 3 | (1.4) | 6 | (0.7) | |
| Opportunities to have sex | |||||||
| Decreased/less | 715 | (68.0) | 148 | (69.2) | 567 | (67.7) | 1.01 (0.91, 1.12) |
| No change | 282 | (26.8) | 55 | (25.7) | 227 | (27.1) | Ref. |
| Increased/more | 45 | (4.3) | 11 | (5.1) | 34 | (4.1) | |
| Use of dating/hook-up apps to connect with other men | |||||||
| Decreased/less | 369 | (35.1) | 65 | (30.4) | 304 | (36.3) | 0.93 (0.75, 1.14) |
| No change | 522 | (49.7) | 102 | (47.7) | 420 | (50.2) | Ref. |
| Increased/more | 157 | (14.9) | 47 | (22.0) | 110 | (13.1) | 1.52 (1.14, 2.03) |
| Use of dating/hook-up apps to meet men in person | |||||||
| Decreased/less | 513 | (48.8) | 101 | (47.2) | 412 | (49.2) | 0.95 (0.82, 1.11) |
| No change | 472 | (44.9) | 101 | (47.2) | 371 | (44.3) | Ref. |
| Increased/more | 61 | (5.8) | 12 | (5.6) | 49 | (5.9) | 0.91 (0.50, 1.65) |
| Access to condoms | |||||||
| Decreased/less | 99 | (9.4) | 34 | (15.9) | 65 | (7.8) | 2.03 (1.38, 2.99) |
| No change | 940 | (89.4) | 179 | (83.6) | 761 | (90.9) | Ref. |
| Increased/more | 5 | (0.5) | 1 | (0.5) | 4 | (0.5) | |
| Use of condoms | |||||||
| Decreased/less | 57 | (5.4) | 15 | (7.0) | 42 | (5.0) | 1.39 (0.79, 2.45) |
| No change | 976 | (92.9) | 196 | (91.6) | 780 | (93.2) | Ref. |
| Increased/more | 8 | (0.8) | 2 | (0.9) | 6 | (0.7) | |
| Use of recreational drugs | |||||||
| Decreased/less | 71 | (6.8) | 19 | (8.9) | 52 | (6.2) | Ref. |
| No change | 863 | (82.1) | 156 | (72.9) | 707 | (84.5) | |
| Increased/more | 104 | (9.9) | 39 | (18.2) | 65 | (7.8) | 1.91 (1.45, 2.52) |
| Alcohol consumption | |||||||
| Decreased/less | 106 | (10.1) | 29 | (13.6) | 77 | (9.2) | Ref. |
| No change | 658 | (62.6) | 118 | (55.1) | 540 | (64.5) | |
| Increased/more | 273 | (26.0) | 67 | (31.3) | 206 | (24.6) | 1.30 (1.09, 1.56) |
aPrevalence ratios (PR) with 95% confidence intervals (CI) are from bivariate modified Poisson regression models testing associations between age group and outcome. Bold indicates significant at P < 0.05
HIV and STI Prevention Impacts
Many participants reported problems accessing HIV or STI testing and STI treatment due to COVID-19 or the plans to manage it (Table 4) Though only about one-third of participants had recently sought an HIV or STI test, substantial proportions of those who had sought testing reported trouble due to COVID-19. Among participants who were currently on HIV pre-exposure prophylaxis (PrEP), the majority had no problems getting the PrEP prescription or getting their medications from the pharmacy, but some participants did report these difficulties. Young participants were more likely to report that COVID-19 was causing problems for access to HIV and STI testing and treatment services.
Table 4.
COVID-19 as a barrier for HIV/STI prevention among United States men who have sex with men who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 1051) | Participants 15 to 24 years (N = 214) | Participants 25 + years (N = 837) | PR (CI)a | ||||
|---|---|---|---|---|---|---|---|
| n | (%) | n | (%) | n | (%) | ||
| Total | |||||||
| Access to STI testing or treatment | |||||||
| Decreased/less | 267 | (25.4) | 76 | (35.5) | 191 | (22.8) | 1.54 (1.23, 1.91) |
| No change | 771 | (73.4) | 138 | (64.5) | 633 | (75.6) | Ref. |
| Increased/more | 3 | (0.3) | 0 | (0.0) | 3 | (0.4) | |
| Trouble getting an STI test | |||||||
| No | 324 | (30.8) | 53 | (24.8) | 271 | (32.4) | Ref. |
| Yes | 49 | (4.7) | 15 | (7.0) | 34 | (4.1) | 1.98 (1.14, 3.42) |
| Haven't tried to get | 678 | (64.5) | 146 | (68.2) | 532 | (63.6) | – |
| Access to HIV testingb | |||||||
| Decreased/less | 175 | (18.8) | 47 | (22.6) | 128 | (17.8) | 1.26 (0.94, 1.69) |
| No change | 712 | (76.8) | 154 | (74.0) | 558 | (77.4) | Ref. |
| Increased/more | 2 | (0.2) | 0 | (0.0) | 2 | (0.3) | |
| Getting an HIV testb | |||||||
| Decreased/less | 142 | (15.3) | 38 | (18.3) | 104 | (14.4) | 1.24 (0.89, 1.74) |
| No change | 733 | (78.9) | 162 | (77.9) | 571 | (79.2) | Ref. |
| Increased/more | 5 | (0.5) | 0 | (0.0) | 5 | (0.7) | |
| Trouble getting an HIV testb | |||||||
| No | 234 | (25.2) | 45 | (21.6) | 189 | (26.2) | Ref. |
| Yes | 52 | (5.6) | 14 | (6.7) | 38 | (5.3) | 1.42 (0.82, 2.44) |
| Haven't tried to get | 626 | (67.4) | 146 | (70.2) | 480 | (66.6) | – |
| Trouble getting A PrEP prescriptionc | |||||||
| No | 140 | (54.9) | 21 | (61.8) | 119 | (53.8) | Ref. |
| Yes | 18 | (7.1) | 1 | (2.9) | 17 | (7.7) | 0.36 (0.05, 2.60) |
| Haven't tried to get | 46 | (18.0) | 4 | (11.8) | 42 | (19.0) | – |
| Trouble getting PrEP medicationsc | |||||||
| No | 138 | (54.1) | 16 | (47.1) | 122 | (55.2) | – |
| Yes | 12 | (4.7) | 0 | (0.0) | 12 | (5.4) | – |
| Haven't tried to get | 54 | (21.2) | 10 | (29.4) | 44 | (19.9) | – |
aPrevalence ratios (PR) with 95% confidence intervals (CI) are from bivariate modified Poisson regression models testing associations between age group and outcome. Bold indicates significant at P < 0.05
bAmong participants who did not report being HIV-positive
cAmong participants on PrEP, PR could not be calculated
HIV Treatment Impacts
Few participants living with HIV infection had decreased access to their HIV medications or had trouble taking them due to COVID-19 or the plans to manage it (Table 5). Substantial proportions had decreased ability to get HIV care visits or laboratory testing. More than three-quarters had recently attempted to get an HIV care appointment, and a quarter of those had trouble making or keeping the appointment due to COVID-19.
Table 5.
COVID-19 as a barrier for HIV treatment among United States men who have sex with men living with HIV infection who participated in a COVID-19 Impact Survey, American Men's Internet Survey, 2020
| All participants (N = 122) | ||
|---|---|---|
| n | (%) | |
| Getting HIV care visits | ||
| Decreased/less | 33 | (27.0) |
| No change | 86 | (70.5) |
| Increased/more | 1 | (0.8) |
| Trouble making or keeping HIV appointments | ||
| No | 68 | (55.7) |
| Yes | 24 | (19.7) |
| Haven't tried to get | 29 | (23.8) |
| Getting viral loads or other labs | ||
| Decreased/less | 29 | (23.8) |
| No change | 88 | (72.1) |
| Increased/more | 3 | (2.5) |
| Access to HIV medications | ||
| Decreased/less | 7 | (5.7) |
| No change | 112 | (91.8) |
| Increased/more | 2 | (1.6) |
| Trouble getting an ART prescription | ||
| No | 95 | (77.9) |
| Yes | 10 | (8.2) |
| Haven't tried to get | 15 | (12.3) |
| Trouble getting ART medications | ||
| No | 100 | (82.0) |
| Yes | 8 | (6.6) |
| Haven't tried to get | 13 | (10.7) |
| Taking HIV medications daily | ||
| Decreased/less | 6 | (4.9) |
| No change | 111 | (91.0) |
| Increased/more | 4 | (3.3) |
Willingness to Collect Specimens
The vast majority of participants were willing to collect specimens at home for mailed-in SARS-CoV-2 COVID-19 testing for diagnostic purposes (97.9%; 1029/1051) and for research purposes (95.2%; 1001/1051). There were only minor differences in willingness to self-collect by specimen type with throat swabs (97.6%; 1026/1051) and saliva (96.8%; 1017/1051) being more preferred than blood spot (86.1%; 905/1051). Overall, 85.1% (894/1051) of participants were willing to collect all three specimens regardless of whether they would be for research or diagnostic purposes. Willingness to self-collect specimens for testing did not significantly differ by age group, except youth were slightly less willing to provide specimens for research purposes than were older participants (91.1% [195/214] versus 96.3% [806/837]; chi-square p = 0.0015).
Discussion
Many US MSM are experiencing COVID-19 related impacts on their general wellbeing and resources, which is not unexpected given the widespread economic and social effects of the pandemic [10–12]. The economic impacts of COVID-19 are also being felt disproportionately among younger MSM who may be more reliant on hourly and in-person service employment as part of the “gig economy” [7]. Though few of our participants had yet to report loss of health insurance or housing due to COVID-19, many had already lost jobs or had money problems setting the stage for additional troubles if economic policies are not implemented rapidly. This is particularly concerning because substantial proportions of our participants are already reporting COVID-19 related barriers to HIV and STI testing, PrEP access, and HIV treatment. Many participants had not yet tried to access these services, but if the COVID-19 pandemic is protracted, more MSM will have trouble getting these vital health services. A longer COVID-19 mitigation or recovery process could also potentially impact access to PrEP and HIV medications as longer-term prescriptions expire and medical care visits are required for renewal. Relaxing follow-up laboratory guidelines, increasing prescription refill numbers, and having providers transition to telehealth services are solutions already being promoted by professional organizations [13].
In addition to the potential direct impacts of COVID-19 on resources and access to critical sexual healthcare, many participants are also reporting changes in sexual behaviors and substance use. Though condom access and usage appears to be minimally affected by COVID-19, participants are reporting fewer sex partners likely as a result of COVID-19 social distancing recommendations and stay-at-home orders [11]. This may have an immediate effect on decreasing HIV and STI transmission risk among MSM, but substantial proportions of MSM are already reporting that they aren’t strictly adhering to COVID-19 mitigation recommendations. It is possible that protracted mitigation orders will result in even further compliance challenges, placing these MSM at increased risk of acquiring or transmitting SARS-CoV-2 infection, particularly if they are ignoring stay-at-home orders so they can meet sexual partners. There is also evidence from a study conducted after the September 11 terrorist attacks that showed a small but significant increase in condomless anal sex among US MSM after the tragedy, with people who lost a friend or relative reporting even greater increases [14]. If MSM have a similar response to COVID-19 but are experiencing sustained interruptions in HIV/STI services, we may see increased HIV and STI incidence among MSM. In addition, these data also indicate that young MSM may be disproportionately impacted by HIV and STI service interruptions, which may reverse some of the recent gains in reducing HIV incidence among young MSM [5].
Several limitations with this approach should be considered. AMIS data are from convenience sampling and are not generalizable to all MSM in the US or to all MSM online. The surveys only involved self-report of COVID-19 related impacts, it’s unclear whether this would be prone to misreporting and what effects those biases would have on our findings. More detailed quantitative and qualitative studies of the COVID-19 impacts would be needed to clarify these effects. Our findings are also likely to be very transient in nature due to the changing nature of local COVID-19 transmission, mitigation efforts and their impacts on healthcare and economies. This may limit reproducibility of the findings but could also be a substantial benefit in rapidly examining changes in these impacts as the COVID-19 pandemic evolves. Online surveys are uniquely suited to these types of rapid re-assessments.
Conclusion
COVID-19 has produced widespread disruptions to US economic resources, social networks and healthcare services. Our study provides the first evidence of the scope of these disruptions among US MSM, including direct impacts on sexual partnering and access to HIV prevention and treatment. To avert increased HIV and STI incidence, steps need to be taken immediately to improve access to these services, such as increasing the use of telehealth for PrEP and HIV care and mailed self-collection of specimens for HIV and STI testing. To avoid exacerbating health disparities, we must also make rapid progress on deploying large-scale seroprevalence studies to better understand potential co-morbidity of HIV and SARS-CoV-2 among MSM from across the US. Ultimately, systematically characterizing the outcomes and mitigation strategies of both the US COVID-19 epidemic and associated impacts on HIV prevention and care represents a rapidly emerging priority for gay men and other MSM in 2020.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
The study was funded by a grant from the National Institutes of Health [Grant No. P30AI050409 and R01MH110358].
Author Contributions
TS, MZ and SB developed the research questions, designed the study and materials. TS and MZ implemented the study data collection. MZ and MR conducted the data analyses for this manuscript. TS, MZ, and SB wrote the manuscript. All authors critically reviewed and edited the manuscript.
Compliance with Ethical Standards
Conflict of interest
The authors report no conflict of interest.
Ethical Approval
The study was conducted in compliance with federal regulations governing protection of human subjects and was reviewed and approved by Emory University’s institutional review board.
Informed Consent
Informed consent was obtained from all individual participants in the study.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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