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      Barriers to the Wider Use of Pre-exposure Prophylaxis in the United States: A Narrative Review

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          Abstract

          Antiretroviral pre-exposure prophylaxis (PrEP) to prevent HIV transmission was first approved by the US Food and Drug Administration in 2012. Despite correlations of decreases in new HIV infections being greatest where PrEP has been deployed, the uptake of PrEP is lagging, particularly among populations with disproportionate HIV burden. This narrative review seeks to identify individual and systemic barriers to PrEP usage in the USA. A comprehensive search of recent literature uncovered a complex array of structural, social, clinical, and behavioral barriers, including knowledge/awareness of PrEP, perception of HIV risk, stigma from healthcare providers or family/partners/friends, distrust of healthcare providers/systems, access to PrEP, costs of PrEP, and concerns around PrEP side effects/medication interactions. Importantly, these barriers may have different effects on specific populations at risk. The full potential of PrEP for HIV prevention will not be realized until these issues are addressed. Strategies to achieve this goal should include educational interventions, innovative approaches to delivery of HIV care, financial support, and destigmatization of PrEP and PrEP users. Until then, PrEP uptake will continue to be suboptimal, particularly among those who need it most.

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          Pre-exposure prophylaxis (PrEP) is a way of preventing HIV. By taking a daily pill, which contains two medicines, HIV can be stopped before it causes an infection. PrEP is prescribed for people at risk of HIV infection. However, many people who are at risk do not use PrEP. We explored the reasons for this. We found that many individuals at risk had not heard of PrEP, so would be unable to ask their doctors for it. Even among healthcare providers themselves, some were not aware of PrEP or how it should be used. For individuals who have heard of PrEP, unfortunately a stigma remains around HIV that deters some people from seeking the treatment. Furthermore, many individuals at risk have experienced bias at the hands of healthcare providers, deepening distrust of the medical establishment. Many individuals at risk also experience poverty and although there are multiple financial assistance options for PrEP, these can be difficult to access without support. Public education and training of healthcare providers may address many of the barriers we found, but deep-rooted issues such as racism and bias will require significant changes within the healthcare system.

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          A decade of studying implicit racial/ethnic bias in healthcare providers using the implicit association test.

          Disparities in the care and outcomes of US racial/ethnic minorities are well documented. Research suggests that provider bias plays a role in these disparities. The implicit association test enables measurement of implicit bias via tests of automatic associations between concepts. Hundreds of studies have examined implicit bias in various settings, but relatively few have been conducted in healthcare. The aim of this systematic review is to synthesize the current knowledge on the role of implicit bias in healthcare disparities. A comprehensive literature search of several databases between May 2015 and September 2016 identified 37 qualifying studies. Of these, 31 found evidence of pro-White or light-skin/anti-Black, Hispanic, American Indian or dark-skin bias among a variety of HCPs across multiple levels of training and disciplines. Fourteen studies examined the association between implicit bias and healthcare outcomes using clinical vignettes or simulated patients. Eight found no statistically significant association between implicit bias and patient care while six studies found that higher implicit bias was associated with disparities in treatment recommendations, expectations of therapeutic bonds, pain management, and empathy. All seven studies that examined the impact of implicit provider bias on real-world patient-provider interaction found that providers with stronger implicit bias demonstrated poorer patient-provider communication. Two studies examined the effect of implicit bias on real-world clinical outcomes. One found an association and the other did not. Two studies tested interventions aimed at reducing bias, but only one found a post-intervention reduction in implicit bias. This review reveals a need for more research exploring implicit bias in real-world patient care, potential modifiers and confounders of the effect of implicit bias on care, and strategies aimed at reducing implicit bias and improving patient-provider communication. Future studies have the opportunity to build on this current body of research, and in doing so will enable us to achieve equity in healthcare and outcomes.
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            Mental health and HIV/AIDS: the need for an integrated response

            Tremendous biomedical advancements in HIV prevention and treatment have led to aspirational efforts to end the HIV epidemic. However, this goal will not be achieved without addressing the significant mental health and substance use problems among people living with HIV (PLWH) and people vulnerable to acquiring HIV. These problems exacerbate the many social and economic barriers to accessing adequate and sustained healthcare, and are among the most challenging barriers to achieving the end of the HIV epidemic. Rates of mental health problems are higher among both people vulnerable to acquiring HIV and PLWH, compared with the general population. Mental health impairments increase risk for HIV acquisition and for negative health outcomes among PLWH at each step in the HIV care continuum. We have the necessary screening tools and efficacious treatments to treat mental health problems among people living with and at risk for HIV. However, we need to prioritize mental health treatment with appropriate resources to address the current mental health screening and treatment gaps. Integration of mental health screening and care into all HIV testing and treatment settings would not only strengthen HIV prevention and care outcomes, but it would additionally improve global access to mental healthcare.
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              HIV Preexposure Prophylaxis, by Race and Ethnicity — United States, 2014–2016

              Preexposure prophylaxis (PrEP) with a daily, oral pill containing antiretroviral drugs is highly effective in preventing acquisition of human immunodeficiency virus (HIV) infection ( 1 – 4 ). The combination of tenofovir disoproxil fumarate (TDF) and emtricitabine (FTC) is the only medication approved by the Food and Drug Administration (FDA) for PrEP. PrEP is indicated for men and women with sexual or injection drug use behaviors that increase their risk for acquiring HIV ( 5 ). CDC analyzed 2014–2016 data from the IQVIA Real World Data — Longitudinal Prescriptions (IQVIA database) to estimate the number of persons prescribed PrEP (users) in the United States and to describe their demographic characteristics, including sex and race/ethnicity. From 2014 to 2016, the annual number of PrEP users aged ≥16 years increased by 470%, from 13,748 to 78,360. In 2016, among 32,853 (41.9%) PrEP users for whom race/ethnicity data were available, 68.7% were white, 11.2% were African American or black (black), 13.1% were Hispanic, and 4.5% were Asian. Approximately 7% of the estimated 1.1 million persons who had indications for PrEP were prescribed PrEP in 2016, including 2.1% of women with PrEP indications ( 6 ). Although black men and women accounted for approximately 40% of persons with PrEP indications ( 6 ), this study found that nearly six times as many white men and women were prescribed PrEP as were black men and women. The findings of this study highlight gaps in effective PrEP implementation efforts in the United States. In 2012, FDA approved TDF/FTC for use as PrEP ( 7 ), and CDC published clinical practice guidelines for use of PrEP ( 5 ). A previous study estimated PrEP uptake among U.S. commercially insured populations and found that PrEP use increased among men during 2010–2014, but was very low among women ( 8 ). It is important to monitor PrEP uptake both among persons with private and public insurance. Because racial and ethnic disparities in HIV diagnoses exist in the United States ( 9 ), it is also important to better understand PrEP use by race/ethnicity. Monitoring trends in PrEP use can inform the development of interventions to ensure that PrEP is provided for persons who need it most to reduce racial and ethnic disparities in PrEP use and new HIV infections. Data on antiretroviral drug prescriptions dispensed during 2014–2016 were extracted from the IQVIA database,* which captured prescriptions from all payers and represented approximately 92% of all prescriptions dispensed from retail pharmacies and 60%–86% dispensed from mail order outlets in the United States. The database included antiretroviral drugs dispensed, demographic variables of persons to whom the drugs were dispensed, and medical claims for these persons. IQVIA acquired medical claims and race/ethnicity data from various sources, including ambulatory, hospital, and consumer databases, and linked these data to persons in the prescription database. Among persons with any antiretroviral drug prescription (1,418,621), approximately 69% had medical claims data available, and race/ethnicity information was available for about 32%. CDC estimated the annual number of PrEP users based on a previously developed algorithm that discerns whether TDF/FTC was prescribed for PrEP or for HIV treatment, hepatitis B treatment, or HIV postexposure prophylaxis ( 8 ). For each year of the study, records of persons aged ≥16 years who had at least one TDF/FTC prescription were selected. Persons were then excluded if they had any diagnostic codes for HIV or hepatitis B infection that preceded their initial TDF/FTC prescription. In addition, persons prescribed TDF/FTC for ≤30 days were defined as postexposure prophylaxis users and excluded; the remaining persons with TDF/FTC prescribed for >30 days were considered PrEP users. Postexposure prophylaxis is recommended for 28 days; however, it is often prescribed for 30 days. The 30-day definition of postexposure prophylaxis was chosen to produce conservative estimates of TDF/FTC for PrEP. PrEP use among persons prescribed TDF/FTC for >28 days was also estimated, to assess the impact of different duration of drug use on the estimates. PrEP use estimates were reported by age group, sex, geographic region, payer type, and race/ethnicity. Payer type was estimated for each person prescribed PrEP using a payer hierarchy of Medicaid, Medicare, commercial insurance, cash, and other payers. The number of PrEP users who received medication assistance program benefits from the manufacturer of PrEP also was estimated. The annual number of PrEP users aged ≥16 years increased by 470%, from 13,748 in 2014 to 78,360 in 2016 (Table 1). In 2016, 65.0% of PrEP users were aged 25–44 years, and 0.1% were aged 16–17 years. Males accounted for 95.3% of all PrEP users. The percentage of PrEP users was highest in the Western U.S. Census Region (29.7%), followed by the Southern (27.2%) and Northeastern Regions (26.7%) and was lowest in the Midwestern Region (16.3%). Commercial health insurance was the payer for 81.0% of PrEP users’ medications and Medicaid for 12.2%. The number of PrEP users who received medication assistance program benefits from the manufacturer increased significantly, from 435 in 2014 to 5,437 in 2016. TABLE 1 Annual number of persons aged ≥16 years prescribed HIV preexposure prophylaxis, by selected characteristics — IQVIA* Longitudinal Prescription Database, United States, 2014─2016 Characteristic Year
no (%) 2014 2015 2016 Total    13,748 (100)    38,879 (100)    78,360 (100) Sex Male    12,624 (91.8)    36,845 (94.8)    74,639 (95.3) Female    1,110 (8.1)    2,012 (5.2)    3,678 (4.7) Unknown/Missing    14 (0.1)    22 (0.1)    43 (0.1) Age group (yrs) 16–17    22 (0.2)    29 (0.1)    64 (0.1) 18–24    953 (6.9)    3,223 (8.3)    7,382 (9.4) 25–34    4,687 (34.1)    14,766 (38.0)    30,959 (39.5) 35–44    3,825 (27.8)    10,156 (26.1)    19,989 (25.5) 45–54    2,845 (20.7)    7,564 (19.5)    13,913 (17.8) 55–64    1,080 (7.9)    2,543 (6.5)    5,046 (6.4) ≥65    336 (2.4)    598 (1.5)    1,007 (1.3) Census region Northeast    3,411 (24.8)    10,110 (26.0)    20,909 (26.7) Midwest    2,330 (17.0)    6,350 (16.3)    12,748 (16.3) South    3,562 (25.9)    10,223 (26.3)    21,335 (27.2) West    4,420 (32.2)    12,169 (31.3)    23,306 (29.7) Other†    22 (0.2)    22 (0.1)    55 (0.1) Unknown/Missing    3 (0.0)    5 (0.0)    7 (0.0) Payer type§ Medicaid/CHIP    1,430 (10.4)    4,547 (11.7)    9,542 (12.2) Medicare    488 (3.6)    968 (2.5)    1,832 (2.3) Commercial    9,980 (72.6)    31,993 (82.3)    63,430 (81.0) Cash    163 (1.2)    262 (0.7)    732 (0.9) Other¶    356 (2.6)    1,080 (2.8)    2,705 (3.5) Unknown/Missing    1,331 (9.7)    29 (0.1)    119 (0.2) Abbreviation: CHIP = Children's Health Insurance Program. * https://www.iqvia.com/. † Other region included U.S. territories. § Payer type is a calculated hierarchical variable, thus numbers of each category are mutually exclusive. Before 2014, payer type information was not available for some of the specialty mail order suppliers. ¶ Other payer types included coupon/voucher programs, discount card programs, and federal or state assistance programs. When length of TDF/FTC prescription drug use for PrEP was defined as >28 days rather than >30 days, the total number of PrEP users in 2016 increased 26%, from 78,360 to 98,599. Demographic and payer type distributions were similar using both algorithms (Table 2). TABLE 2 Number of persons aged ≥16 years prescribed HIV preexposure prophylaxis based on different durations of drug use, by selected characteristics — IQVIA Longitudinal Prescription Database, United States, 2016 Characteristic Length of drug use
no. (%) >30 days >28 days Total    78,360 (100)    98,599 (100) Sex Male    74,639 (95.3)    92,042 (93.4) Female    3,678 (4.7)    6,468 (6.6) Unknown/Missing    43 (0.1)    89 (0.1) Age group (yrs) 16–17    64 (0.1)    175 (0.2) 18–24    7,382 (9.4)    10,984 (11.1) 25–34    30,959 (39.5)    39,243 (39.8) 35–44    19,989 (25.5)    24,177 (24.5) 45–54    13,913 (17.8)    16,646 (16.9) 55–64    5,046 (6.4)    6,067 (6.2) ≥65    1,007 (1.3)    1,307 (1.3) Race/Ethnicity* White    22,574 (68.7)    26,832 (67.7) Black    3,687 (11.2)    4,693 (11.8) Hispanic    4,317 (13.1)    5,409 (13.6) Asian    1,486 (4.5)    1,779 (4.5) Unspecified    789 (2.4)    941 (2.4) Census region Northeast    20,909 (26.7)    26,460 (26.8) Midwest    12,748 (16.3)    15,704 (15.9) South    21,335 (27.2)    27,119 (27.5) West    23,306 (29.8)    29,217 (29.6) Other    55 (0.1)    87 (0.1) Unknown/Missing    7 (0.0)    12 (0.0) Payer type† Medicaid/CHIP    9,542 (12.2)    12,732 (12.9) Medicare    1,832 (2.3)    2,355 (2.4) Commercial    63,430 (81.0)    76,767 (77.9) Cash    732 (0.9)    2,332 (2.4) Other§    2,705 (3.5)    4,206 (4.3) Unknown/Missing    119 (0.2)    207 (0.2) Abbreviation: CHIP = Children's Health Insurance Program. * Percentages calculated among 32,853 (41.9%) >30-day users and 39,654 (40.2%) >28-day users with information on race/ethnicity available. † Payer type is a calculated hierarchical variable, thus numbers of each category are mutually exclusive. Persons who identified their race as white, black, Asian, or unspecified were all non-Hispanic. Persons who identified as Hispanic might be of any race. § Other payer type included coupon and voucher programs, discount card programs, and federal or state assistance programs. Among the 78,360 PrEP users identified in 2016, information on race/ethnicity was available for 32,853 (41.9%), including 22,574 (68.7%) who were white, 3,687 (11.2%) who were black, 4,317 (13.1%) who were Hispanic, and 1,486 (4.5%) who were Asian. When stratified by sex, among the 1,146 female PrEP users with race/ethnicity data, 554 (48.3%) were white, 297 (25.9%) were black, and 201 (17.5%) were Hispanic (Figure). FIGURE Number of PrEP users by sex and race/ethnicity*— IQVIA Longitudinal Prescription Database, United States, 2016 Abbreviation: PrEP = preexposure prophylaxis. * Among 32,853 (42%) persons with race/ethnicity data available, among all 78,360 PrEP users identified in 2016; information on sex was missing/unknown for four of these 32,853 persons. The figure is a bar chart showing the number of PrEP users, by sex and race/ethnicity in the United States in 2016. Discussion Compared with recently published estimates based on an analysis of the MarketScan database with commercial health insurance billing claims, the estimated number of PrEP users was higher using this IQVIA database ( 8 ). This is because the IQVIA database contains all third party payers, including Medicaid, and prescriptions claims paid by medication assistance programs. The number of PrEP users with commercial insurance was similar in both analyses. In 2014, a total of 7,792 PrEP users with commercial insurance were identified in the MarketScan database, compared with 9,980 users with commercial insurance in the IQVIA database ( 8 ); in 2015, a total of 33,273 PrEP users with commercial insurance were identified in MarketScan, † compared with 31,993 users with commercial insurance in IQVIA. The algorithm used in this study and in the MarketScan analysis defined postexposure prophylaxis as a TDF/FTC prescription for ≤30 days, resulting in a conservative estimate of PrEP use that might underestimate the number of PrEP users because persons might have been prescribed a 30-day supply of TDF/FTC for PrEP or postexposure prophylaxis. Persons prescribed TFD/FTC for ≤30 days might also have been using on-demand PrEP that is not taken daily. When a definition of postexposure prophylaxis as a TDF/FTC prescription for ≤28 days was used, the estimated number of PrEP users was higher. The true estimate of PrEP use likely falls between the estimate that defines PrEP use as a TDF/FTC prescription for >30 days and the one that defines it as >28 days. A validation study that compares estimates of PrEP use based on various algorithm definitions with a review of medical records will be helpful for future research. Women accounted for 3,678 (4.7%) of the 78,360 PrEP users and 2.1% of the estimated 176,670 heterosexual women for whom PrEP is indicated ( 6 ). Among the estimated 1.1 million adults for whom PrEP is indicated, 303,230 (26.3%) were white, 500,340 (43.7%) were black, and 282,260 (24.7%) were Hispanic ( 6 ). However, among PrEP users with available race/ethnicity data in this study, 68.7% were white, 11.2% were black, and 13.1% were Hispanic. The large gap between the numbers of persons with indications for PrEP and those who were prescribed PrEP, and the low proportions of women and racial/ethnic minorities prescribed PrEP, suggests that more equitable implementation of PrEP recommendations for women and persons in racial/ethnic minority populations is needed. In addition, whereas men and women in the South had 52% of HIV diagnoses in the United States in 2016 ( 8 ), this study found that only 27% of the PrEP users were in the South. The findings in this report are subject to at least four limitations. First, 58% of PrEP users identified in the IQVIA database did not have race/ethnicity information available. Race/ethnicity data were obtained from a convenience sample of a consumer database, in which persons who were older and had a credit history were more likely to be included. Although race/ethnicity data were not available for many PrEP users, this study suggests a substantial unmet prevention need for black and Hispanic populations who might benefit from PrEP. Second, PrEP users were identified using an algorithm that might be subject to misclassification bias. However, a similar algorithm was validated based on a review of electronic medical records ( 10 ). Third, the estimates were based on prescriptions dispensed rather than actual use. Finally, the IQVIA database did not include diagnosis data for 31% of persons, which might result in an overestimate of PrEP users by including persons potentially using TDF/FTC for treatment of HIV or hepatitis B infection. However, most persons (99%) with HIV in the IQVIA database had other antiretroviral medications in addition to TDF/FTC and were excluded. Barriers to the provision of PrEP for persons in populations with the highest rates of annual HIV diagnoses, such as black and Hispanic men and women, need to be better understood to help guide the development of interventions to increase access to and utilization of PrEP. Focused public health efforts to support increasing PrEP prescriptions for persons in populations who might benefit from its use could increase the impact of PrEP on HIV incidence in the United States. Summary What is already known about this topic? In 2015, approximately 1.1 million adults were at risk for acquiring human immunodeficiency virus infection and had indications for preexposure prophylaxis (PrEP); 26.3%, 43.7%, and 24.7% were white, black, and Hispanic, respectively. What is added by this report? In 2016, among 78,360 persons who filled prescriptions for PrEP in the United States, women accounted for only 4.7%. Among PrEP users with available race/ethnicity data, 68.7%, 11.2%, 13.1%, and 4.5% were white, black, Hispanic, and Asian, respectively. What are the implications for public health practice? The gap between numbers of persons with PrEP indications and those prescribed PrEP was substantial, especially among persons in female, black, and Hispanic populations. Focused efforts are needed to increase the impact of PrEP in the United States.
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                Contributors
                khmayer@gmail.com
                Journal
                Adv Ther
                Adv Ther
                Advances in Therapy
                Springer Healthcare (Cheshire )
                0741-238X
                1865-8652
                30 March 2020
                30 March 2020
                2020
                : 37
                : 5
                : 1778-1811
                Affiliations
                [1 ]GRID grid.245849.6, ISNI 0000 0004 0457 1396, The Fenway Institute and Harvard Medical School, ; Boston, MA USA
                [2 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Johns Hopkins University School of Medicine, ; Baltimore, MD USA
                [3 ]GRID grid.9001.8, ISNI 0000 0001 2228 775X, Morehouse School of Medicine, ; Atlanta, GA USA
                Article
                1295
                10.1007/s12325-020-01295-0
                7467490
                32232664
                e2a47cb0-9211-4653-a79e-698e6ba80026
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 30 January 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100005564, Gilead Sciences;
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                © Springer Healthcare Ltd., part of Springer Nature 2020

                access,barriers,distrust,emtricitabine,implementation,prevention,pre-exposure prophylaxis,stigma,tenofovir alafenamide,tenofovir disoproxil fumarate

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