INTRODUCTION
Daily oral tenofovir-based pre-exposure prophylaxis (PrEP ) is highly effective at reducing the risk of acquiring HIV infection. Clinical trials have demonstrated safety and efficacy of PrEP , with >90% reduction in the risk of sexual transmission among men who have sex with men and heterosexual men and women and >70% in the risk of transmission among people who inject drugs.1–5 The Centers for Disease Control and Prevention recommends PrEP for adolescent and adult men and women with sexual and injection risk behaviors, including men who have sex with men, people who inject drug, and heterosexual men and women at substantial risk of HIV acquisition.3 In June 2019, PrEP received an A grade from the US Preventive Services Task Force.6 Expanding the use of PrEP is one of the key strategies to achieve the Ending the HIV Epidemic in the US (EHE) initiative goal of reducing HIV infections by 90% or more in the United States by 2030.7,8
PrEP uptake in the United States has been increasing in recent years,9–11 but most persons who can benefit from PrEP have not used it. The Centers for Disease Control and Prevention estimated that 1.2 million persons in the United States have clinical indications for PrEP , yet only 23% were prescribed PrEP in 2019.10 Racial/ethnic disparities in PrEP use have been identified, with smaller percentages of persons prescribed PrEP in Black/African American and Hispanic/Latino populations that have the largest numbers of persons with PrEP indications.10,12 PrEP requires a prescription from an authorized health care provider , including physicians, physician assistants (PAs), and nurse practitioners (NPs). Although providers' knowledge of and willingness to prescribe PrEP has increased, many are still unaware of or unfamiliar with PrEP for HIV prevention.13 Other barriers might prevent a provider from prescribing PrEP , such as not having enough time, skill, or comfort to conduct an HIV risk assessment; concerns about its out-of-pocket medication cost; or that patients might have poor adherence.14 PrEP remains an underused HIV prevention service, and many persons still lack access to PrEP .15
Understanding the capacity of the US health care system to prescribe PrEP is critical to support expanded PrEP coverage and to inform interventions to increase access to PrEP services. The total number of US PrEP prescribers has not been reported. A public database of PrEP providers, the National Prevention Information Network PrEP Provider Data and Locator Widget (https://npin.cdc.gov/preplocator ), includes clinicians who reported they are currently providing PrEP clinical services and chose to be listed. This database serves as a resource for persons to locate a PrEP provider in their community.16 However, this database does not include all PrEP prescribers, but only those who were aware of this registry and chose to provide their information. The objective of this study was to estimate the number of clinicians who have ever prescribed PrEP in the United States and to assess their characteristics and trends in prescribing practices from 2014 to 2019.
METHODS
We analyzed IQVIA Real World Data–Longitudinal Prescriptions (“IQVIA data”), a commercial database with prescription and clinical information from pharmacy benefit managers, prescription processors, and health insurance companies. It included >90% of all prescriptions dispensed by retail pharmacies and 60%–86% dispensed by mail-order outlets in the United States.17 The database included information about antiretroviral prescriptions and patients and health care providers who provided each prescription. We linked IQVIA provider data to the Centers for Medicaid and Medicare Services (CMS) National Plan and Provider Enumeration System (NPPES) that included variables for provider characteristics including sex and practice location.18 We linked IQVIA provider data to the National Uniform Claim Committee Health Care Provider Taxonomy Code Set to categorize health care provider types as a physician, NP, or PA and to assign physician specialty using the National Uniform Claim Committee taxonomy codes.19 Providers with a missing taxonomy record or a registered taxonomy that indicated they were not a physician, NP, or PA were grouped as unknown. We estimated the US geographic and metropolitan or micropolitan statistical area locations where PrEP providers practiced by linking their 5-digit zip codes to core-based statistical areas in the US Department of Housing and Urban Development ZIP-USPS crosswalk file.20 We defined providers' rural or urban status by linking their 5-digit zip to codes in the CMS National Breakout of Geographic Area Definitions by Zip Code for Rural-Urban Commuting Area.21 Both rural and super rural zip codes were coded as rural.
To estimate the number of providers who prescribed PrEP from 2014 to 2019, we identified all PrEP prescriptions in the IQVIA database using a previously developed and validated algorithm that discerned ARVs prescribed for PrEP , PEP, HIV treatment, and hepatitis B treatment.9,11,22 Next, we identified providers who prescribed PrEP at least once during each year of our study period and described their demographic characteristics, including sex, US geographic region of practice, urban or rural location of practice, provider type, and physician specialty, by year. We categorized physician specialties of general practice/family medicine, internal medicine, preventive medicine, obstetrics and gynecology, and pediatrics as primary care specialties. We also estimated the number of PrEP providers by metropolitan statistical area (MSA) for each year during 2014–2019. To calculate the proportion of providers prescribing PrEP among all providers in the United States, we divided the number of PrEP prescribers by the total number of registered physicians, NPs, and PAs in the CMS NPPES database. We used providers' dates of enumeration, deactivation, and reactivation to approximate the number of active providers in each year.18
To understand the capacity of PrEP providers in the US geographic regions and states, we calculated the number of PrEP providers per 100 persons with PrEP indications using published estimates of persons with PrEP indications.12 We computed the Gini coefficients and plotted Lorenz curves for cumulative distribution for each year from 2014 to 2019 as a measure of dispersion of PrEP patients among PrEP providers.23 A Gini coefficient of 1 indicates a single provider served all PrEP patients, and a Gini coefficient of 0 indicates that all PrEP providers served equal numbers of patients. All analyses were performed using SAS version 9.4 (SAS Institute, Carey, NC) and the DescTools package with R 4.0.2.24
RESULTS
In 2019, we found that 65,822 providers prescribed PrEP for 279,054 patients, an increase from 9621 providers who prescribed PrEP for 22,278 patients in 2014 (Table 1 ). The proportion of female providers increased from 37.6% in 2014 to 51.9% in 2019. In 2019, 31.2% of PrEP providers were in the South, followed by 27.5% in the West, 23.3% in the Northeast, and 17.8% in the Midwest. Most providers (92.6%) practiced in urban areas. The number and proportion of PrEP providers practicing in rural areas increased from 482 (5.0%) in 2014 to 4836 (7.3%) in 2019.
TABLE 1. -
HIV Pre-Exposure Prophylaxis Providers by Sex, Region, and Urban or Rural Location—United States, 2014–2019
2014
2015
2016
2017
2018
2019
N (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
Total
9621 (100.0)
18,970 (100.0)
97.2
31,470 (100.0)
65.9
41,927 (100.0)
33.2
54,356 (100.0)
29.6
65,822 (100.0)
21.1
Sex
Male
5850 (60.8)
11,067 (58.3)
89.2
17,213 (54.7)
55.5
21,714 (51.8)
26.1
26,794 (49.3)
23.4
30,992 (47.1)
15.7
Female
3618 (37.6)
7626 (40.2)
110.8
13,669 (43.4)
79.2
19,521 (46.6)
42.8
26,848 (49.4)
37.5
34,150 (51.9)
27.2
Unknown
153 (1.6)
277 (1.5)
81.0
588 (1.9)
112.3
692 (1.7)
17.7
714 (1.3)
3.2
680 (1.0)
−4.8
US geographic region
Northeast
2346 (24.4)
4622 (24.4)
97.0
7612 (24.2)
64.7
9977 (23.8)
31.1
12,853 (23.6)
28.8
15,350 (23.3)
19.4
Midwest
1444 (15.0)
2950 (15.6)
104.3
5172 (16.4)
75.3
7141 (17.0)
38.1
9373 (17.2)
31.3
11,736 (17.8)
25.2
South
2952 (30.7)
5615 (29.6)
90.2
9411 (29.9)
67.6
12,703 (30.3)
35.0
16,718 (30.8)
31.6
20,504 (31.2)
22.6
West
2821 (29.3)
5728 (30.2)
103.0
9196 (29.2)
60.5
12,015 (28.7)
30.7
15,306 (28.2)
27.4
18,093 (27.5)
18.2
Unknown
58 (0.6)
55 (0.3)
−5.2
79 (0.3)
43.6
91 (0.2)
15.2
106 (0.2)
16.5
139 (0.2)
31.1
Urban or rural location*
Urban
9131 (94.9)
17,934 (94.5)
96.4
29,462 (93.6)
64.3
39,066 (93.2)
32.6
50,467 (92.8)
29.2
60,944 (92.6)
20.8
Rural
482 (5.0)
1023 (5.4)
112.2
1990 (6.3)
94.5
2827 (6.7)
42.1
3853 (7.1)
36.3
4836 (7.3)
25.5
Unknown
8 (0.1)
13 (0.1)
62.5
18 (0.1)
38.5
34 (0.1)
88.9
36 (0.1)
5.9
42 (0.1)
16.7
* An urban location was based on the 2019 CMS zipcode-to-carrier locality file for urban or rural locations.
The percentage of PrEP prescribers who were primary care providers (primary care physicians, NPs, or PAs) increased from 69.5% in 2014 to 87.1% in 2019. Among all providers who prescribed PrEP , NP and PA prescribers increased faster than physician prescribers. In 2014, 10.2% of the PrEP providers were NPs and 7.8% were PAs. By 2019, 20.8% of PrEP providers were NPs and 8.9% were PAs (Table 2 ). The percentage of PrEP providers who were physicians decreased from 79.8% in 2014 to 68.1% in 2019. In 2019, an NP prescribed PrEP for a mean of 6.4 patients and a PA for a mean of 5.2, compared with a physician who prescribed PrEP for a mean of 3.5 patients. Similarly, the number of general practice or internal medicine physicians who prescribed PrEP increased faster than infectious disease (ID) physicians who prescribed PrEP . Among physicians who prescribed PrEP , most were general practice/family medicine physicians (48.1%) or internal medicine physicians (29.5%). There were 1362 ID physicians who prescribed PrEP in 2014, accounting for 17.7% of the physician providers, and in 2019, ID physicians increased to 3378, but the percentage decreased to 7.5% because of relatively more increase in other types of physicians.
TABLE 2. -
HIV Pre-Exposure Prophylaxis Providers by Provider Type and Physician Specialty—United States, 2014–2019
2014
2015
2016
2017
2018
2019
N (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
N (%)
Annual Change (%)
Total
9621 (100.0)
18,970 (100.0)
97.2
31,470 (100.0)
65.9
41,927 (100.0)
33.2
54,356 (100.0)
29.6
65,822 (100.0)
21.1
Provider type
Physician
7678 (79.8)
14,946 (78.8)
94.7
23,789 (75.6)
59.2
30,539 (72.8)
28.4
38,207 (70.3)
25.1
44,800 (68.1)
17.3
Nurse practitioner
984 (10.2)
2204 (11.6)
124.0
4293 (13.6)
94.8
6730 (16.1)
56.8
10,180 (18.7)
51.3
13,723 (20.8)
34.8
Physician assistant
750 (7.8)
1419 (7.5)
89.2
2591 (8.2)
82.6
3674 (8.8)
41.8
4809 (8.8)
30.9
5877 (8.9)
22.2
Unknown type
209 (2.2)
401 (2.1)
91.9
797 (2.5)
98.8
984 (2.3)
23.5
1160 (2.1)
17.9
1422 (2.2)
22.6
Physicians: Primary care specialty
General practice/family medicine
2529 (32.9)
5919 (39.6)
134.0
10,190 (42.8)
72.2
13,727 (44.9)
34.7
17,876 (46.8)
30.2
21,564 (48.1)
20.6
Internal medicine
2074 (27.0)
4279 (28.6)
106.3
6857 (28.8)
60.2
8846 (29.0)
29.0
11,188 (29.3)
26.5
13,230 (29.5)
18.3
Preventive medicine
59 (0.8)
82 (0.5)
39.0
125 (0.5)
52.4
160 (0.5)
28.0
185 (0.5)
15.6
219 (0.5)
18.4
Obstetrics and gynecology
98 (1.3)
176 (1.2)
79.6
284 (1.2)
61.4
400 (1.3)
40.8
599 (1.6)
49.8
763 (1.7)
27.4
Pediatrics
196 (2.6)
475 (3.2)
142.3
812 (3.4)
70.9
1142 (3.7)
40.6
1496 (3.9)
31.0
1925 (4.3)
28.7
Physicians: Nonprimary care specialty
Infectious disease
1362 (17.7)
2089 (14.0)
53.4
2812 (11.8)
34.6
3102 (10.2)
10.3
3264 (8.5)
5.2
3378 (7.5)
3.5
Emergency medicine
579 (7.5)
726 (4.9)
25.4
1003 (4.2)
38.2
1128 (3.7)
12.5
1413 (3.7)
25.3
1466 (3.3)
3.8
Others
781 (10.2)
1200 (8.0)
53.6
1706 (7.2)
42.2
2034 (6.7)
19.2
2186 (5.7)
7.5
2255 (5.0)
3.2
Among all active US health care providers in the NPPES data, the percentage who prescribed PrEP increased from 0.7% in 2014 to 4.3% in 2019. The increase can be attributed to the increased prescribing by NPs (from 0.5% in 2014 to 4.5% in 2019), PAs (from 0.7% to 4.1%), general practice/family medicine physicians (from 1.8% to 13.6%), internal medicine physicians (from 1.4% to 8.1%), and ID physicians (from 14.2% to 34.2%) (Table 3 ).
TABLE 3. -
Percentage of
HIV Pre-Exposure Prophylaxis Providers Among Health care Providers by Provider Type and Specialty—United States, 2014–2019
2014
2015
2016
2017
2018
2019
Total providers, N
PrEP Providers, N (%)
Total providers, N
PrEP Providers, N (%)
Total providers, N
PrEP Providers, N (%)
Total providers, N
PrEP Providers, N (%)
Total providers, N
PrEP Providers, N (%)
Total providers, N
PrEP Providers, N (%)
Total
1,260,751
9412 (0.7)
1,315,466
18,569 (1.4)
1,368,765
30,673 (2.2)
1,418,971
40,943 (2.9)
1,466,423
53,196 (3.6)
1,514,967
64,400 (4.3)
Physicians by specialty
Infectious disease
9558
1362 (14.2)
9706
2089 (21.5)
9781
2812 (28.7)
9819
3102 (31.6)
9848
3264 (33.1)
9866
3378 (34.2)
General practice/Family medicine
140,294
2529 (1.8)
144,794
5919 (4.1)
149,007
10,190 (6.8)
152,882
13,727 (9.0)
155,570
17,876 (11.5)
158,101
21,564 (13.6)
Internal medicine
144,186
2074 (1.4)
149,912
4279 (2.9)
155,310
6857 (4.4)
159,720
8846 (5.5)
162,138
11,188 (6.9)
164,245
13,230 (8.1)
Preventive medicine
7399
59 (0.8)
7521
82 (1.1)
7612
125 (1.6)
7699
160 (2.1)
7752
185 (2.4)
7830
219 (2.8)
Obstetrics and gynecology
49,985
98 (0.2)
51,171
176 (0.3)
52,162
284 (0.5)
52,576
400 (0.8)
53,018
599 (1.1)
53,471
763 (1.4)
Pediatrics
95,373
196 (0.2)
97,880
475 (0.5)
100,139
812 (0.8)
102,080
1142 (1.1)
103,207
1496 (1.4)
104,226
1925 (1.8)
Emergency medicine
58,162
579 (1.0)
60,357
726 (1.2)
62,458
1003 (1.6)
64,126
1128 (1.8)
64,969
1413 (2.2)
65,612
1466 (2.2)
Others
469,870
781 (0.2)
478,999
1200 (0.3)
485,355
1706 (0.4)
490,432
2034 (0.4)
494,921
2186 (0.4)
499,177
2255 (0.5)
NP and PA
Nurse Practitioner
183,201
984 (0.5)
204,484
2204 (1.1)
228,178
4293 (1.9)
252,693
6730 (2.7)
279,205
10,180 (3.6)
307,625
13,723 (4.5)
Physician assistant
102,723
750 (0.7)
110,642
1419 (1.3)
118,763
2591 (2.2)
126,944
3674 (2.9)
135,795
4809 (3.5)
144,814
5877 (4.1)
*The number of total providers is estimated from the NPPES developed by the CMS, January 2020 (URL:
https://nppes.cms.hhs.gov/#/ ). For each year, only activated providers are counted as the denominators. We inferred the status of active provider each year using providers' dates of enumeration, deactivation, and reactivation in the NPPES data.
Figure 1 shows the growth in the number of PrEP providers in MSAs with >10 PrEP providers from 2014 to 2019. In 2019, the 10 MSAs with the largest number of PrEP providers were New York–Newark–Jersey City (n = 5870), Los Angeles–Long Beach–Anaheim (n = 3234), Chicago–Naperville–Elgin (n = 2269), Boston–Cambridge–Newton (n = 2192), Philadelphia–Camden–Wilmington (n = 1923), Washington DC–Arlington–Alexandria (n = 1893), San Francisco–Oakland–Hayward (n = 1763), Seattle–Tacoma–Bellevue (n = 1612), Miami–Fort Lauderdale–West Palm (n = 1458), and Dallas–Fort Worth–Arlington (n = 1240).
FIGURE 1.: Number of HIV pre-exposure prophylaxis providers in the MSAs—United States, 2014–2019.
In 2019, the ratio of number of PrEP providers to persons with PrEP indications was highest in the Northeast, with 8.5 providers per 100 persons with PrEP indications, then 6.2 per 100 in the West, 5.7 per 100 in the Midwest, and lowest in the South, with 4.4 per 100. The 10 states with the highest ratio of PrEP providers per persons with PrEP indications were Massachusetts (13.0 providers per 100 persons with indications), New Hampshire (11.5), Iowa (11.3), Nebraska (11.0), Kansas (10.6), Maine (9.7), Connecticut (9.3), West Virginia (8.8), Utah (8.7), and New York (8.3) (see Table 1, Supplemental Digital Content, https://links.lww.com/QAI/B700 ).
PrEP patients were not evenly distributed among PrEP providers. On average, each prescriber had 4.2 patients (median = 1, interquartile range of 1–3). In 2019, 55.3% of providers had only one PrEP patient, whereas the leading prescriber served 3245 patients. We found that the average number of patients prescribed PrEP by the top 5% PrEP providers increased from 22 in 2014 to 52 in 2019, whereas the average number of patients prescribed PrEP by the remaining 95% of PrEP providers remained less than 5 patients (see Table 2, Supplemental Digital Content, https://links.lww.com/QAI/B700 ). The Lorenz curves and the Gini coefficients demonstrated that in 2019, 50% of the PrEP patients were prescribed PrEP by 2.2% of the PrEP providers. The Gini coefficient of the cumulative number of PrEP patients to the cumulative number of PrEP providers increased from 0.59 in 2014 to 0.75 in 2019 (Fig. 2 ). The increase of Gini coefficient indicates that during 2014–2019 a smaller portion of PrEP providers served an increasingly larger portion of PrEP patients.
FIGURE 2.: Lorenz curves and Gini coefficients of cumulative HIV pre-exposure prophylaxis patient distribution over cumulative PrEP providers—United States, 2014–2019. *A Gini coefficient of 0 means all PrEP providers served an equal number of patients and is represented by the diagonal line; a Gini coefficient of 1 means a single provider served all PrEP patients. **The increasing trend in the Gini coefficient from 2014 to 2019 suggests that, over time, a smaller portion of PrEP providers are serving an increasingly larger portion of PrEP patients. In 2019, 2.2% of PrEP providers served 50.0% of all PrEP patients.
DISCUSSIONS
The number of PrEP providers in the United States increased from 9621 in 2014 to 65,822 in 2019, representing an increase of 0.7% of all the US health care providers in 2014 to 4.3% in 2019. This trend is parallel to the increases in the number of PrEP users, which increased from 13,748 in 2014 to 284,464 in 2019.9,10 Among all PrEP providers, the proportion who were primary care providers increased over the study period. The increased number of providers, especially primary care physicians, NPs, and PAs, provides a strong foundation to increase PrEP capacity in the United States. Although a small proportion of PrEP providers prescribed most PrEP , the large number of providers who ever prescribed PrEP indicates that these providers are prepared to provide PrEP services with the support of provider education, tools, and system-level interventions to identify patients with PrEP indications and prescribe PrEP .
Most PrEP providers were physicians. About one-third of ID physicians have ever prescribed PrEP , the highest percentage of any clinical specialty (Table 3 ). ID physicians were likely more aware of PrEP as an HIV prevention option than other types of physicians and were probably more comfortable and experienced prescribing antiretroviral medications.26 ID physicians also might encounter more patients with PrEP indications than other types of physicians, such as persons with sexually transmitted infections or who have a partner(s) with HIV . Yet, PrEP is a preventive health care service that should be easily and safely delivered by primary care providers. It is encouraging that the proportion of primary care providers who prescribed PrEP increased from 2014 to 2019. We found that NPs and PAs had higher average numbers of PrEP patients compared with physicians. NPs and PAs providers can play an important role in increasing the use of PrEP to help accomplish the goals of the EHE initiative. Studies have found that midlevel providers provide quality patient care on par with physicians and often adhere better to clinical practice guidelines than physicians.27,28 They can serve as physician extenders in communities and areas with underserved populations.29 These attributes make them good candidates for education about PrEP and tools to support increased PrEP assessments and prescribing.
PrEP providers were not proportionately distributed in the US geographic regions with the greatest need for PrEP , similar to findings in another study.15 We found that less than one-third of PrEP providers practiced in the South despite this region having the largest proportion of persons (52.4%) with an HIV diagnosis in 2019 (52.0%)30 and the largest proportion of persons with PrEP indications (40.8%).12 More than 92% of PrEP providers practiced in urban areas and were concentrated in large metropolitan areas such as New York, Los Angeles, and Chicago. Only about 8% PrEP providers practiced in rural areas in 2019. The small number of rural PrEP providers presents challenges to provide PrEP to persons in these communities. The EHE initiative will support 7 states with high numbers of HIV diagnosis in rural areas to increase HIV testing, PrEP services, HIV care services, and other HIV prevention services.8
We found that 2.2% of PrEP providers cared for about half of all PrEP patients in 2019, and the Gini coefficient of patient distribution among providers was 0.75. Furthermore, we observed that the Gini coefficients of PrEP patient distribution increased from 2014 to 2018, indicating that patient volume of a small proportion of PrEP providers increased faster than that of most PrEP providers and that most new PrEP users were served by these leading providers (Fig. 2 and see Table 2, Supplemental Digital Content, https://links.lww.com/QAI/B700 ). Over the 5-year period of our study it seems that PrEP “centers of excellence” have emerged, with a small number of providers having the highest volume of PrEP patients and thus the most experience prescribing PrEP . Centers of excellence have been demonstrated to have better outcomes and less morbidity and mortality for some health services, such as complex surgical procedures and cardiovascular procedures.31–33 Some advantages exist for communities to have a large PrEP clinic where persons can seek care. However, in 2018, 82% of persons with PrEP indications did not use PrEP for many reasons such as a lack of access to these providers or being unaware of PrEP . Therefore, the increasing number of primary care providers who ever prescribed PrEP can be supported to increase PrEP use in their patient populations as a common preventive service similar to prescribing an antihypertensive medication or providing a vaccination.
Our study has 4 limitations. First, the IQVIA data did not include PrEP providers and prescriptions for all US PrEP users, such as those in Veterans Affairs health clinics. This likely resulted in an underestimate of the number of PrEP providers and prescriptions. Second, PrEP prescriptions were identified using an algorithm that had high sensitivity and specificity to identify a PrEP prescription,22 yet might exclude a very small number of PrEP prescriptions resulting in an underestimate of PrEP prescriptions. In addition, prescriptions for ARV treatment of persons with incomplete clinical information in the IQVIA database might be misclassified as PrEP , resulting in an overestimate of the number of PrEP providers and prescriptions. Third, it is possible that specialist physicians provided some primary care services and prescribed PrEP , resulting in an underestimate of the proportion of US primary care providers. Fourth, it is possible that some providers enumerated in the CMS NPPES database were not actively providing clinical care, resulting in an underestimate of the proportion of providers who prescribed PrEP .
Our study revealed steady growth in health care workforce that prescribes PrEP in the United States and indicated the large clinical capacity for PrEP services. However, the distribution of the PrEP providers is not proportionate to the distribution of persons who need PrEP . Interventions are needed to support the expansion of PrEP services that are appropriate for the diverse community health care resources and HIV prevention needs of the population. In areas with too few PrEP providers to serve the needs of the community, implementation studies are needed to understand best practices to increase PrEP capacity. Education of health care providers can increase their PrEP awareness, and implementation of support tools, including the use of clinical decision support tools,34 ,35 can increase screening of patients for PrEP indications and prescribing PrEP . These interventions can support and enhance the existing capacity to provide access to quality PrEP services for all who need PrEP . To achieve the goals of EHE, the United States will need more equally distributed PrEP services and an increasing number of PrEP providers.
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