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. Author manuscript; available in PMC: 2020 May 15.
Published before final editing as: AIDS Care. 2018 Nov 15:1–6. doi: 10.1080/09540121.2018.1545988

Discrimination in healthcare settings among adults with recent HIV diagnoses

Amy R Baugher 1, Linda Beer 1, Jennifer L Fagan 1, Christine L Mattson 1; for the Medical Monitoring Project1
PMCID: PMC6520212  NIHMSID: NIHMS1001176  PMID: 30431313

Abstract

The prevalence of discrimination in healthcare settings among HIV patients in the United States is unknown. The Medical Monitoring Project (MMP) is a complex sample survey of adults receiving HIV medical care in the United States. We analyzed nationally representative MMP data collected 2011–2015. We assessed the prevalence of self-reported healthcare discrimination, perceived reasons for discrimination, and factors associated with discrimination among persons with HIV diagnoses ≤5 years before interview (n = 3,770). Overall, 14.1% of patients living with HIV (PLWH) experienced discrimination, of whom 82.2% attributed the discrimination to HIV. PLWH reporting poverty, homelessness, or attending a non-Ryan White HIV/AIDS Program (RWHAP) facility were more likely to report discrimination compared with other groups. Of patients attending non-RWHAP facilities, discrimination was higher among those in poverty (27.5%) vs. not in poverty (15.1%). Discrimination was associated with homelessness regardless of facility type, and was highest among homeless persons attending non-RWHAP facilities.

Healthcare discrimination was commonly reported among PLWH, and was most often attributed to HIV status. Discrimination was higher among those reporting poverty or homelessness, particularly those attending non-RWHAP facilities. Incorporating practices, such as antidiscrimination training, in facilities may reduce healthcare discrimination.

Keywords: Discrimination, HIV/AIDS, United States, Ryan White

Introduction

Discrimination occurs when a person experiences unfair treatment because they are perceived to be part of an undesirable group (NHAS, 2015). Discrimination in healthcare settings can be overt, such as refusing to treat a patient, or it can be subtle, such as not giving a patient equitable care (Schuster et al., 2005). In the 1990s, 26% of patients with HIV receiving care in the U.S. reported discrimination in healthcare settings after their HIV diagnosis. Reducing discrimination is a national HIV prevention goal (HIV.gov, n.d.).

In healthcare settings, adults with diagnosed HIV who are in care (hereafter referred to as “patients living with HIV” or “PLWH”) have described situations where providers seemed afraid of them, discouraged them, or treated them differently (Zukoski & Thorburn, 2009). Discrimination has been reported across a range of clinical settings and types of clinic staff (Schuster et al., 2005; Zukoski & Thorburn, 2009). Studies suggest that discrimination discourages some PLWH from attending HIV provider visits or adhering to HIV medicines (Schuster et al., 2005), which is critical for achieving viral suppression (Cohen et al., 2011).

National estimates for the prevalence of healthcare discrimination among PLWH in U.S. healthcare settings were last reported during the mid-1990s by the HIV Cost and Services Utilization Study (HCSUS) (Schuster et al., 2005). Recent estimates are needed. There is also limited information on the perceived reasons for discrimination in healthcare settings (Schuster et al., 2005), which could help inform discrimination-reduction interventions.

The objectives of this analysis were to describe the prevalence of self-reported discrimination in healthcare settings among PLWH with recent diagnoses, and the behavioral, clinical, and facility characteristics associated with discrimination.

Materials and methods

Medical monitoring project

The Medical Monitoring Project (MMP) is an HIV surveillance system designed to produce nationally representative estimates of behavioral and clinical characteristics of adults receiving HIV care in the U.S using interview and medical record data (Bradley et al., 2015; Iachan et al., 2016). For the 2011–2014 cycles, MMP used a 3-stage, probability-proportional-to-size sampling method, which sampled states and one territory, then outpatient facilities providing HIV care, and finally PLWH ≥18 years old who reported ≥1 medical care visit(s) in a participating facility during January–April of each cycle year. This analysis used pooled, cross-sectional data from June 2011–May 2015. We also examined data on the characteristics of the HIV care facilities where respondents were sampled.

All sampled states and territories participated in MMP. Facility response rates ranged from 83–86% and patient response rates ranged from 49–56%. Data were weighted to account for unequal selection probabilities and both facility and patient non-response.

Measures

To measure discrimination, we asked respondents if, after receiving an HIV diagnosis, anyone in the healthcare system: (1) exhibited hostility or a lack of respect towards them, (2) gave them less attention than other patients, or (3) refused them service. Discrimination was defined as reporting at least one discriminatory experience in a healthcare setting since HIV diagnosis. Respondents reporting discrimination indicated the personal characteristics to which they attributed the discrimination: HIV status, gender identity, sexual orientation, race/ethnicity, and injection drug use.

Analytic methods

We analyzed the prevalence of any healthcare discrimination since HIV diagnosis among all persons receiving HIV medical care (n = 19,466), and then among PLWH diagnosed ≤5 years before interview date (n = 3,770). We restricted to persons with recent diagnoses to measure discrimination that occurred relatively recently, since patients receiving care in the early decades of the HIV epidemic likely had different experiences of discrimination (Herek, Capitanio, & Widaman, 2002).

Among persons with recent diagnoses, we next present the prevalence of the characteristics to which they attributed the perceived discrimination. We then assessed differences in discrimination by sociodemographic, behavioral, clinical, and facility characteristics using bivariate Rao-Scott chi-square tests.

We assessed whether attending a facility funded by the Ryan White HIV/AIDS Program (RWHAP) was an effect modifier of the relationship between discrimination and socioeconomic factors, specifically poverty and homelessness, since anti-discrimination is a core value of RWHAP (HRSA, n.d.).

The Centers for Disease Control and Prevention (CDC) determined MMP was public health surveillance used for disease control, program, or policy purposes (CDC, 2010). Local institutional review board approval was obtained at participating project areas and facilities when required. Informed consent was obtained from all interviewed participants.

Results

Among all PLWH in care, 22.8% (95% CI 21.1, 24.5) reported any discrimination in healthcare settings since diagnosis (data not shown in tables). Among PLWH in care with recent diagnoses, 14.1% reported any discrimination. Among PLWH reporting discrimination (n = 503), 82.2% attributed discrimination to their HIV status and 32.1% to their sexual orientation (Table 1). Among PLWH with recent diagnoses, discrimination was significantly more common among those who experienced poverty in the past 12 months, reported homelessness in the past 12 months, or received care from a non-RWHAP-funded facility (Table 2).

Table 1.

Discrimination in healthcare settings experienced by adults living with HIV in care with recent diagnoses, Medical Monitoring Project 2011–2014 (n = 3,770).

Question n Weighted % (95% CI)
Has anyone in the healthcare system done any of the following to you since testing positive for HIV?
Exhibited hostility or a lack of respect towards you? 428 12.0 (10.9, 13.2)
Given you less attention than other patients? 289 8.4 (7.3, 9.5)
Refused you service? 129 3.6 (3.0, 4.2)
Reported any discriminationa 503 14.1 (12.8, 15.5)
Did the discrimination occur because of your … ?b
Characteristic n Weighted % attributed discrimination to characteristic (95% CI)

HIV status 383 82.2 (77.9, 86.6)
Gender 58 10.8 (7.7, 13.8)
Sexual orientation 148 32.1 (25.9, 38.3)
Race/ethnicity 66 12.5 (9.6, 15.3)
Injection drug use 22 4.7 (2.2, 7.2)
a

Respondent experienced hostility or a lack of respect, was given less attention, or was refused service at a healthcare facility since testing positive for HIV.

b

Respondent could select more than one option.

Table 2.

Sociodemographic, behavioral, clinical, and facility characteristics of adults living with HIV in care with recent diagnoses reporting any discrimination, Medical Monitoring Project 2011–2014 (n = 3,770).

Variable n Any discrimination Weighted % (95% CI) No discrimination Weighted % (95% CI) p-value
Gender
Male 2838 373 14.0 (12.3, 15.8) 2465 86.0 (84.2, 87.7) 0.08
Female 877 118 13.8 (11.7, 16.0) 759 86.2 (84.0, 88.3) Ref
Transgendera 53 12 24.5 (11.7, 37.4) 41 75.5 (62.6, 88.3) 0.05
Race/ethnicity
Black 1746 184 11.5 (9.6, 13.4) 1562 88.5 (86.6, 90.4) Ref
Hispanic/Latinob 912 126 13.3 (11.0, 15.7) 786 86.7 (84.3, 89.0) 0.05
White 913 153 18.2 (15.1, 21.2) 760 81.8 (78.8, 84.9) 0.09
Otder/Multiracialc 199 40 21.3 (15.1, 27.5) 159 78.7 (72.5, 84.9) 0.02
Age (years)
18–29 973 127 14.0 (11.1, 16.9) 846 86.0 (83.1, 88.9) 0.95
30–39 952 134 14.7 (12.3, 17.2) 818 85.3 (82.8, 87.7) 0.57
40–49 963 133 15.0 (12.5, 17.6) 830 85.0 (82.4, 87.5) 0.37
≥50 882 109 12.7 (10.3, 15.1) 773 87.3 (84.9, 90.0) Ref
Sexual orientation
Homosexual 1195 173 15.3 (12.7, 17.9) 1022 84.7 (82.1, 87.3) 0.55
Heterosexual 1297 167 13.4 (11.4, 15.5) 1130 86.6 (84.5, 88.6) Ref
Bisexual 270 39 15.3 (10.7, 19.9) 231 84.7 (80.1, 89.3) 0.69
Education
< High school 711 79 11.6 (8.2, 15.1) 632 88.4 (84.9, 91.8) Ref
High school or equivalent 1108 127 12.9 (10.4, 15.3) 981 87.1 (84.7, 89.6) 0.58
> High school 1950 297 15.7 (14.3, 17.2) 1653 84.3 (82.8, 85.8) 0.04
Povertyd in past 12 months
Above poverty level 1736 216 13.4 (11.5, 15.3) 1520 86.6 (84.7, 88.5) Ref
At or below poverty level 1814 268 15.6 (13.8, 17.4) 1546 84.4 (82.6, 86.2) 0.04
Homelessnesse
Homeless in past 12 months 421 88 22.4 (16.9, 27.9) 333 77.6 (72.1, 83.1) <0.01
Not homeless in past 12 months 3349 415 13.1 (11.7, 14.6) 2934 86.9 (85.4, 88.3) Ref
Incarcerated in past 12 months
Yes 223 39 18.7 (13.4, 24.0) 184 81.3 (76.0, 86.6) 0.05
No 3546 463 13.8 (12.4, 15.3) 3083 86.2 (84.7, 87.6) Ref
Country of birth
Born outside U.S. 666 73 11.1 (6.7, 13.4) 593 88.9 (86.6, 91.3) Ref
Born in U.S. 3103 430 14.8 (13.2, 16.3) 2673 85.2 (83.7, 86.8) 0.01
Injection drug use
Injected drugs in past 12 months 84 18 25.1 (12.0, 38.1) 66 74.9 (61.9, 88.0) 0.04
Did not inject drugs in past 12 months 3675 481 13.8 (12.5, 15.2) 3194 86.2 (84.8, 87.5) Ref
ART use and adherencef
Not taking ART 343 40 13.8 (9.9, 17.8) 303 86.2 (82.2, 90.1) 0.97
Taking ART, Not Adherent 400 53 13.2 (9.8, 16.6) 347 86.8 (83.4, 90.2) Ref
Taking ART, Adherent 2927 395 14.3 (12.8, 15.8) 2532 85.7 (84.2, 87.2) 0.58
Sustained viral suppression in past 12 monthsg
All viral loads <200 copies/ml 2152 293 14.4 (12.7, 16.2) 1859 85.6 (83.8, 87.3) 0.59
≥1 viral loads ≥200 copies/ml 1618 210 13.8 (11.9, 15.6) 1408 86.2 (84.4, 88.1) Ref
Clinical status
AIDS or CD4+ cell count 0–199 cells/μl (nadir) 1914 250 14.0 (12.0, 16.0) 1664 86.0 (84.0, 88.0) 0.08
No AIDS and CD4+ cell count 200–499 cells/μl (nadir) 1431 192 13.7 (11.7, 15.7) 1239 88.3 (84.3, 88.3) Ref
No AIDS and CD4+ cell count ≥500 cells/μl (nadir) 402 60 17.2 (13.0, 21.3) 342 82.8 (78.7, 87.0) 0.42
Ryan White HIV/AIDS Program (RWHAP) funded facilityh
Yes 2877 359 13.4 (12.1, 14.8) 2518 86.6 (85.2, 87.9) Ref
No 643 115 18.3 (13.6, 23.0) 528 81.7 (77.0, 86.4) 0.03
Facility typei
Public 1435 180 13.5 (11.2, 15.8) 1255 86.5 (84.2, 88.8) Ref
Private 2151 295 14.5 (12.9, 16.1) 1856 85.5 (83.9, 87.1) 0.53
Other 115 21 17.7 (11.4, 24.0) 94 82.3 (76.0, 88.6) 0.21
Facility sizej
Small 158 23 15.5 (8.0, 23.1) 135 84.5 (76.9, 92.0) 0.72
Medium 1386 194 14.5 (12.1, 17.0) 1192 85.5 (83.0, 87.9) 0.97
Large 2226 286 13.8 (12.3, 15.3) 1940 86.2 (84.7, 87.7) Ref
Single pace of care in past 12 months 3758 501 14.1 (12.8, 15.5) 3257 85.9 (84.5, 87.2) 0.20
a

Patients were classified as transgender if sex at birth and gender reported by patient were different, or if patient chose transgender in response to the question about self-identified gender.

b

Hispanic/Latinos might be of any race. Patients are classified in only one race/ethnicity category.

c

Persons who reported multiple racial identities or a race/ethnicity other than non-Hispanic white, non-Hispanic black, or Hispanic/Latino were categorized as “other/multiracial.”

d

Poverty guidelines as defined by the Department of Health and Human Services (HHS). More information regarding the HHS poverty guidelines can be found at http://aspe.hhs.gov/poverty/faq.cfm.

e

Living on the street, in a shelter, in a single-room-occupancy hotel, or in a car.

f

Antiretroviral therapy (ART) use and adherence were defined as a three-level categorical variable: not taking ART; taking ART, but not adherent; and taking ART, adherent. Adherence was defined as self-reported 100% adherence to all HIV medicine doses in the past 3 days.

g

Sustained viral suppression was defined as all HIV viral load tests documented as undetectable or <200 copies/mL during the past 12 months.

h

Ryan White HIV/AIDS Program (RWHAP) funding was defined as receiving any funding from any Ryan White source, including parts A, B, C, or D.

i

Facility type was categorized as public-owned, private-owned, or other type of ownership.

j

Facility size was categorized as small (<50 patients), medium (50–400 patients), and large (>400 patients).

Among patients receiving care at RWHAP-funded facilities (Table 3), there was no significant difference in discrimination between patients experiencing poverty (14.9%) vs. not experiencing poverty (12.5%; odds ratio [OR]: 1.2). However, among patients attending non-RWHAP facilities, those experiencing poverty (27.5%) had higher odds of reporting discrimination than patients not experiencing poverty (15.1%, OR: 2.1). Homelessness was associated with higher odds of discrimination among persons who attended RWHAP facilities (21.5% homeless vs. 12.3% non-homeless) and non-RWHAP facilities (34.0% homeless vs. 17.0% non-homeless), but there was a slightly stronger effect among persons attending non-RWHAP facilities (RWHAP OR: 1.9 vs. non-RWHAP OR: 2.5).

Table 3.

Percentage of adults living with HIV with recent diagnoses reporting discriminationa stratified by povertyb, homelessnessc, and attending a facility funded by Ryan White HIV/AIDS Program (RWHAP)d, Medical Monitoring Project 2011–2014.

Discrimination
Yes
No
n % n % Odds Ratio 95% CI
RWHAP
Poverty in past 12 months 1.2 0.9, 1.5
Yes 213 14.9 (13.0, 16.8) 1312 85.1 (83.2, 87.0)
No 132 12.5 (10.4, 14.5) 1042 87.5 (10.4, 14.5)
Homelessness in past 12 months 1.9 1.3, 2.9*
Yes 68 21.5 (15.0, 27.9) 280 78.5 (72.1, 85.0)
No 291 12.3 (11.0, 13.7) 2238 87.7 (86.4, 89.0)
Non-RWHAP
Poverty in past 12 months 2.1 1.3, 3.5*
Yes 42 27.5 (18.0, 36.9) 124 72.5 (63.1, 82.0)
No 69 15.1 (10.5, 19.7) 384 84.9 (80.3, 89.5)
Homelessness in past 12 months 2.5 1.4, 4.6*
Yes 17 34.0 (20.7, 47.2) 32 66.0 (52.8, 79.3)
No 98 17.0 (12.3, 21.6) 496 83.0 (78.4, 87.7)
*

p < 0.05.

a

Discrimination was defined as reporting at least one discriminatory experience in an HIV healthcare setting: exhibited hostility or a lack of respect towards you to given you less attention than other patients, or refused you service.

b

Poverty guidelines as defined by the Department of Health and Human Services (HHS). More information regarding the HHS poverty guidelines can be found at http://aspe.hhs.gov/poverty/faq.cfm.

c

Living on the street, in a shelter, in a single-room-occupancy hotel, or in a car.

d

Ryan White HIV/AIDS Program (RWHAP) was defined as a facility receiving any Ryan White funding from any Ryan White source.

Discussion

More than 1 in 8 recently diagnosed PLWH receiving medical care reported discrimination in healthcare settings, most of whom attributed the discrimination to their HIV status. This updated estimate is lower than the 26% prevalence of discrimination among PLWH in care reported by HCSUS in the mid-1990s (Schuster et al., 2005), but the population is limited to PLWH who were recently diagnosed.

Healthcare discrimination was higher among those living in poverty, but only among those attending non-RWHAP facilities. Higher discrimination was reported among homeless patients regardless of facility type. Patients attending RWHAP facilities are more likely to have better health outcomes compared with patients attending non-RWHAP facilities (Bradley et al., 2016; Weiser et al., 2015). Lower levels of discrimination at RWHAP clinics may play a role in better health outcomes, which could be explored in future studies.

RWHAP facilities use a medical home model, offering comprehensive, patient-centered care, which reduces staff burnout, wait times, and increases patient satisfaction (Beane, Culyba, DeMayo, & Armstrong, 2014; Valverde et al., 2004). RWHAP facilities utilize a multi-disciplinary approach, where care, case management, and support services are integrated and patient-provider relationships are emphasized (Beane et al., 2014). These factors may contribute to lower perceptions of discrimination in RWHAP facilities.

RWHAP facilities serve low-income PLWH and incorporate anti-discrimination and cultural competency in staff training (HRSA). RWHAP funds the AIDS Education and Training Centers (AETCs), which provide HIV education and training for providers and clinic staff (Johnson, 2011). AETC programs have reduced HIV stigma among clinic staff (Mulligan, Seirawan, Galligan, & Lemme, 2006). Further, quality improvement activities, which hold programs to the same standards, are required of RWHAP-funded programs (Agins, 2014). It is possible that RWHAP trainings and quality requirements contribute to lower discrimination. Non-RWHAP facilities may benefit from similar anti-discrimination trainings and quality improvement activities.

Limitations and strengths

There were limitations to this analysis. Discrimination data were based on perceptions rather than objective measurements; however, research has linked perceptions of discrimination to poor health outcomes (Schuster et al., 2005). Second, this analysis is restricted to persons receiving care, but discrimination in a healthcare setting could be related to dropping out of care. Since discrimination could have occurred at any point since diagnosis, we cannot assess temporality. Lastly, we do not have information about whether discrimination occurred at the facility from which the person was sampled. However, 99.7% of respondents reported attending one HIV care facility in the past 12 months. Therefore, it is reasonable to assume the discrimination occurred at their usual care facility.

Despite these limitations, strengths of this analysis include the probability-based sampling, which allowed us to provide nationally representative estimates and a large, geographically diverse sample.

It is important that all PLWH are in care and adherent to HIV medicines, yet discrimination could potentially dissuade persons from seeking care (Kinsler, Wong, Sayles, Davis, & Cunningham, 2007). Because persons attending RWHAP-funded facilities report less discrimination, facilities may consider adopting characteristics of RWHAP facilities (e.g., emphasizing comprehensive care and anti-discrimination training for providers and staff) to help reduce discrimination. All facilities may benefit from additional trainings on working with patients experiencing homelessness. Facilities may consider reviewing their practices to ensure all patients are treated equally and with respect.

Acknowledgements

We thank participating MMP respondents, providers, community and provider advisory boards, and project areas. We also acknowledge the contributions of the Clinical Outcomes Team, the Behavioral and Clinical Surveillance Branch, and Antigone Dempsey and Heather Hauck from HRSA.

Funding

Funding for the Medical Monitoring Project is provided by the Centers for Disease Control and Prevention.

Footnotes

Disclosure statement

No potential conflict of interest was reported by the authors.

Disclaimer

The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention.

References

  1. Agins B (2014). Quality improvement. Retrieved from https://aidsetc.org/guide/quality-improvement
  2. Beane SN, Culyba RJ, DeMayo M, & Armstrong W (2014). Exploring the medical home in Ryan White HIV care settings: A pilot study. Journal of the Association of Nurses in AIDS Care, 25(3), 191–202. doi: 10.1016/j.jana.2013.10.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bradley HM, Frazier E, Huang P, Fagan J, Mattson C, Freedman M, & Luo Q (2015). Behavioral and clinical characteristics of persons receiving medical care for HIV infection Medical Monitoring Project United States, 2010. [PubMed]
  4. Bradley H, Viall AH, Wortley PM, Dempsey A, Hauck H, & Skarbinski J (2016). Ryan White HIV/AIDS program assistance and HIV treatment outcomes. Clinical Infectious Diseases, 62(1), 90–98. doi: 10.1093/cid/civ708 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. CDC. (2010). Distinguishing public health research and public health nonresearch. Retrieved from http://www.cdc.gov/od/science/integrity/docs/cdc-policy-distinguishing-publichealth-research-nonresearch.pdf
  6. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, … Team HS (2011). Prevention of HIV-1 infection with early antiretroviral therapy. New England Journal of Medicine, 365(6), 493–505. doi: 10.1056/NEJMoa1105243 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Herek GM, Capitanio JP, & Widaman KF (2002). HIVrelated stigma and knowledge in the United States: Prevalence and trends, 1991–1999. American Journal of Public Health, 92(3), 371–377. doi: 10.2105/ajph.92.3.371 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. HIV.gov. (n.d.). Activities combating HIV stigma and discrimination. Retrieved from https://www.hiv.gov/federalresponse/federal-activities-agencies/activities-combatinghiv-stigma-and-discrimination
  9. HRSA. (n.d.). HIV/aids stigma and the history of the Ryan White HIV/AIDS program. Retrieved from https://hab.hrsa.gov/livinghistory/issues/stigma_4.htm [Google Scholar]
  10. Iachan R, Johnson CH, Harding RL, Kyle T, Saavedra P, Frazier EL, … Skarbinski J (2016). Design and weighting methods for a nationally representative sample of HIV-infected adults receiving medical care in the United States-medical monitoring project. The Open AIDS Journal, 10, 164–181. doi: 10.2174/1874613601610010164 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Johnson JA (2011). The Ryan White HIV/AIDS program. Retrieved from https://pdfs.semanticscholar.org/3f17/b632e04b15e81b8ecc6654f97395e7c6b5f4.pdf
  12. Kinsler JJ, Wong MD, Sayles JN, Davis C, & Cunningham WE (2007). The effect of perceived stigma from a health care provider on access to care among a low-income HIV-positive population. AIDS Patient Care and STDs, 21(8), 584–592. doi: 10.1089/apc.2006.0202 [DOI] [PubMed] [Google Scholar]
  13. Mulligan R, Seirawan H, Galligan J, & Lemme S (2006). The effect of an HIV/AIDS educational program on the knowledge, attitudes, and behaviors of dental professionals. Journal of Dental Education, 70(8), 857–868. [PubMed] [Google Scholar]
  14. NHAS. (2015). National HIV/AIDS strategy for the United States: Updated to 2020. Retrieved from https://www.whitehouse.gov/sites/default/files/docs/national_hiv_aids_strategy_update_2020.pdf
  15. Schuster MA, Collins R, Cunningham WE, Morton SC, Zierler S, Wong M, … Kanouse DE (2005). Perceived discrimination in clinical care in a nationally representative sample of HIV-infected adults receiving health care. Journal of General Internal Medicine, 20(9), 807–813. doi: 10.1111/j.1525-1497.2005.05049.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Valverde E, Del Rio C, Metsch L, Anderson-Mahoney P, Krawczyk CS, Gooden L, & Gardener LI (2004). Characteristics of Ryan White and non-Ryan White funded HIV medical care facilities across four metropolitan areas: Results from the antiretroviral treatment and access studies site survey. AIDS Care, 16(7), 841–850. doi:10.1080/ 09546120412331290130 [DOI] [PubMed] [Google Scholar]
  17. Weiser J, Beer L, Frazier EL, Patel R, Dempsey A, Hauck H, & Skarbinski J (2015). Service delivery and patient outcomes in Ryan White HIV/AIDS programfunded and -nonfunded health care facilities in the United States. JAMA Internal Medicine, 175(10), 1650–1659. doi: 10.1001/jamainternmed.2015.4095 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Zukoski AP, & Thorburn S (2009). Experiences of stigma and discrimination among adults living with HIV in a low HIV-prevalence context: A qualitative analysis. AIDS Patient Care and STDs, 23(4), 267–276. doi: 10.1089/apc.2008.0168 [DOI] [PubMed] [Google Scholar]

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