| Literature DB >> 23924399 |
J Craig Phillips1, Allison Webel, Carol Dawson Rose, Inge B Corless, Kathleen M Sullivan, Joachim Voss, Dean Wantland, Kathleen Nokes, John Brion, Wei-Ti Chen, Scholastika Iipinge, Lucille Sanzero Eller, Lynda Tyer-Viola, Marta Rivero-Méndez, Patrice K Nicholas, Mallory O Johnson, Mary Maryland, Jeanne Kemppainen, Carmen J Portillo, Puangtip Chaiphibalsarisdi, Kenn M Kirksey, Elizabeth Sefcik, Paula Reid, Yvette Cuca, Emily Huang, William L Holzemer.
Abstract
BACKGROUND: Human rights approaches to manage HIV and efforts to decriminalize HIV exposure/transmission globally offer hope to persons living with HIV (PLWH). However, among vulnerable populations of PLWH, substantial human rights and structural challenges (disadvantage and injustice that results from everyday practices of a well-intentioned liberal society) must be addressed. These challenges span all ecosocial context levels and in North America (Canada and the United States) can include prosecution for HIV nondisclosure and HIV exposure/transmission. Our aims were to: 1) Determine if there were associations between the social structural factor of criminalization of HIV exposure/transmission, the individual factor of perceived social capital (resources to support one's life chances and overcome life's challenges), and HIV antiretroviral therapy (ART) adherence among PLWH and 2) describe the nature of associations between the social structural factor of criminalization of HIV exposure/transmission, the individual factor of perceived social capital, and HIV ART adherence among PLWH.Entities:
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Year: 2013 PMID: 23924399 PMCID: PMC3750916 DOI: 10.1186/1471-2458-13-736
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1The ecosocial context of HIV-related criminal laws, social capital, and HIV antiretroviral adherence in North America.
Legal contextual environment for people living with HIV
| Protective | ||||||||||||
| Laws and regulations/policies that protect people living with HIV against discrimination | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Non-discrimination laws or regulations that specify protections for vulnerable subpopulations | Yes | No | ||||||||||
| Punitive | ||||||||||||
| Laws, regulations or policies that present obstacles to access to prevention, treatment, care and support for vulnerable subpopulations | Yes | Yes, for drug users and sex workers. | ||||||||||
| HIV-specific restrictions on entry, stay or residence | No | No* | No* | No* | No* | No* | No* | No* | No* | No* | No* | No* |
| Laws that specifically criminalize HIV transmission or exposure | No | Yes | No | Yes | No | Yes | No | Yes | Yes | No | Yes | No |
| Laws that criminalize same-sex sexual activities between consenting adults | No | No | No | No | No | No | No | No | No | No | No | No |
| Laws deeming commercial sex work to be illegal | No | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Laws that impose compulsory treatment for people who use drugs and/or provide for death penalty for drug offences | No Data | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Laws that allow HIV-specific enhancements to sentencing for other crimes | No | Yes | No | No | No | No | Yes | No | Yes | Yes | Yes | No |
| Laws that criminalize exposure/transmission to other diseases** | No | Yes | No | No | No | Yes | Yes | No | No | No | Yes | No |
| Laws requiring HIV disclosure | Yes | Yes | No | Yes | No | Yes | No | Yes | Yes | Yes | Yes | No |
| Laws requiring HIV reporting | Yes | No | No | No | No | Yes | No | Yes | Yes | Yes | Yes | No |
| Number of HIV prosecutions since 1981 | 13 | 10 | 0 | 18 | 4 | 4 | 4 | 4 | 25 | 22 | 8 | 0 |
| Sample Size | 100 | 300 | 100 | 95 | 200 | 100 | 100 | 200 | 150 | 228 | 200 | 100 |
Note: CA = California, Can = Canada, HI = Hawai’i, IL = Illinois, MA = Massachusetts, NC = North Carolina, NJ = New Jersey, NY = New York, OH = Ohio, PR = Puerto Rico, TX = Texas, WA = Washington, UNK = unknown, *United States laws that restrict entry, stay or residence based on HIV-status were repealed in January, 2010; **including communicable or contagious disease statutes that criminalize sexually transmitted infection exposure [27].
Selected demographic and HIV disease characteristics (n = 1873)
| Age (years) | | | 46.1 (± 9.2) |
| Gender | | | |
| Male | 1299 (69.4) | | |
| Female | 503 (26.9) | | |
| Transgender/Other | 51 (2.8) | | |
| Ancestry (Race/Ethnicity) | | | |
| African Am/Black | 755 (40.3) | | |
| Latina/Latino | 425 (22.7) | | |
| White | 488 (26.1) | | |
| Other | 179 (9.7) | | |
| Education | | | |
| 11th grade or less | 491 (26.2) | | |
| High School | 735 (39.2) | | |
| 2+ yrs College | 630 (33.9) | | |
| Income Adequate | 495 (21.1) | | |
| HIV Disease Indicators | | | |
| Year diagnosed with HIV | | | 2,000 (± 6.6) |
| Prescribed HIV antiretroviral therapy | 1500 (82.3) | | |
| Has AIDS diagnosis | 788 (42.1) | | |
| Undetectable Viral Load | 1030 (58.1) | | |
| | Frequency (%) | ||
| HIV transmission methoda | Man | Woman | Transgender/Other |
| Sex HIV+ man | 791 (67.5) | 396 (83.9) | 42 (89.4) |
| Sex HIV+ woman | 349 (33.3) | 19 (4.8) | 11 (36.7) |
| Sharing needles | 301 (28.3) | 122 (28.8) | 17 (50) |
| Blood transfusion | 76 (7.6) | 41 (10.2) | 6 (20.7) |
| Don’t know | 124 (12.8) | 34 (8.7) | 4 (17.4) |
Note. a Participants were asked to list the possible ways they could have been infected with HIV. Responses were not mutually exclusive and participants may have listed multiple modes of transmission. Transgender/Other includes persons identifying as a transman, transwoman, genderqueer, other, or decline to state.
Social capital and HIV-antiretroviral adherence among people living with HIV
| Canada | 100 | 2.54 (0.56) | 84.1 (24.7) | 37 (43.5) | 85 (85) |
| Puerto Rico | 100 | 2.74 (0.52) | 88.7 (20.1) | 51 (56) | 91 (91) |
| California | 300 | 2.53 (0.59) | 82.7 (23.2) | 86 (36.8) | 234 (78) |
| Hawaii | 100 | 2.73 (0.56) | 89.6 (14) | 32 (35.2) | 91(91) |
| Illinois | 95 | 2.66 (0.59) | 83.4 (24.4) | 29 (36.3) | 80 (84) |
| Massachusetts | 200 | 2.67 (0.54) | 84.8 (23.2) | 70 (40.7) | 172 (86) |
| New Jersey | 100 | 2.64 (0.48) | 85.1 (21.9) | 36 (43.4) | 83 (83) |
| New York | 100 | 2.69 (0.59) | 83 (23.7) | 31 (37.8) | 82 (82) |
| North Carolina | 200 | 2.79 (0.55) | 86.1 (19.7) | 78 (43.3) | 180 (90) |
| Ohio | 150 | 2.59 (0.52) | 86.1 (20.9) | 53 (41.4) | 128 (85) |
| Texas | 228 | 2.64 (0.52) | 89.5 (19) | 109 (55.6) | 196 (86) |
| Washington | 200 | 2.54 (0.56) | 85.8 (23.8) | 87 (51.8) | 168 (84) |
| Total | 1,873 | 2.63 (0.55) | 85.7 (21.8) | 699 (44) | 1,590 (84.9) |
Note. a = computed from 30-day adherence data; possible mean social capital scores range from 1 indicating poor social capital to 4 indicating high social capital.
Associations between criminalization of HIV, perceived social capital, and HIV antiretroviral adherence
| | 30-day adherence | 100% adherenta | Perceived Social Capital | HIV Prosecutions | HIV Exposure/Transmission Law | HIV Sentencing Enhanced | Other Disease Exposure/Transmission Law | HIV Disclosure Law |
| 100% adherenta | .901** | | | | | | | |
| Perceived Social Capital | .168** | .125** | | | | | | |
| HIV Prosecutions | .006 | .015 | -.098** | | | | | |
| HIV Exposure/Transmission Law | -.052* | -.038 | -.050* | -.161** | | | | |
| HIV Sentencing Enhanced | .008 | .027 | -.099** | .521** | .225** | | | |
| Other Disease Exposure/Transmission Law | -.049 | -.025 | -.086** | -.064** | .465** | .518** | | |
| HIV Disclosure Law | .065** | .078* | -.009 | .394** | .225** | .144** | -.145** | |
| HIV Reporting Law | .004 | .022 | -.072** | .680** | .678** | .389** | .217** | .631** |
Note: a = computed from 30-day adherence data, ** p < .01 (2-tailed), *p < .05 (2-tailed).
Logistic regression summary for variables associated with HIV antiretroviral adherence (n = 1455)
| | | | | ||
|---|---|---|---|---|---|
| Block 1: | |||||
| Gender | -.156 (.096) | 2.642 | .855 | .708 | 1.033 |
| Age | .016 (.007) | 5.453* | 1.016 | 1.003 | 1.030 |
| Ancestrya | | 30.577** | | | |
| Asian/Pacific Islander ( | .055 (.472) | .013 | 1.056 | .419 | 2.663 |
| African American/black ( | .153 (.335) | .207 | 1.165 | .604 | 2.248 |
| Hispanic/Latino(a) ( | .722 (.349) | 4.270* | 2.058 | 1.038 | 4.080 |
| Native American Indian ( | .060 (.460) | .017 | 1.061 | .431 | 2.616 |
| White/anglo (non-Hispanic) (n = 398) | .859 (.337) | 6.498* | 2.361 | 1.220 | 4.570 |
| Education | -.033 (.054) | .364 | .968 | .870 | 1.077 |
| Year diagnosed with HIV | .011 (.008) | 1.750 | 1.011 | .995 | 1.027 |
| Block 2: | |||||
| Perceived Social Capital | .517 (.104) | 24.834** | 1.676 | 1.368 | 2.054 |
| Block 3: | |||||
| HIV Prosecutions | -.003 (.004) | .418 | .997 | .989 | 1.006 |
| HIV Exposure/Transmission Law | -.176 (.257) | .469 | .838 | .506 | 1.388 |
| HIV Sentencing Enhanced | -.005 (.149) | .001 | .995 | .742 | 1.334 |
| Other Disease Exposure/Transmission Law | .118 (.160) | .543 | 1.125 | .823 | 1.538 |
| HIV Disclosure Law | .321 (.166) | 3.726* | 1.379 | .995 | 1.911 |
| HIV Reporting Law | .200 (.322) | .385 | 1.221 | .650 | 2.295 |
| Constant, overall model | −24.500 (16.569) | 2.186 | |||
Note: Model X = 80.66, df = 16, p < .001); Nagelkerke R = .072; percent correctly classified = 60%; pmeter values reported are from the final logistic regression model; areference category for ancestry is other (n = 47); * p ≤ .05; ** = p < .01.