Baligh R. Yehia

Health outcomes are affected by patient, provider, and environmental factors. Previous studies have evaluated patient-level factors; few focusing on environment. Safe clinical spaces are important for lesbian, gay, bisexual, and transgender (LGBT) communities. This study evaluates current models of LGBT health care delivery, identifies strengths and weaknesses, and makes recommendations for LGBT spaces. Models are divided into LGBT-specific and LGBT-embedded care delivery. Advantages to both models exist, and they provide LGBT patients different options of healthcare. Yet certain commonalities must be met: a clean and confidential system. Once met, LGBT-competent environments and providers can advocate for appropriate care for LGBT communities, creating environments where they would want to seek care.

Academic health centers are strategically positioned to impact the health of lesbian, gay, bisexual and transgender (LGBT) populations by advancing science, educating future generations of providers, and delivering integrated care that addresses the unique health needs of the LGBT community. This report describes the early experiences of the Penn Medicine Program for LGBT Health, highlighting the favorable environment that led to its creation, the mission and structure of the Program, strategic planning process used to set priorities and establish collaborations, and the reception and early successes of the Program.

Retention in HIV care improves survival and reduces the risk of HIV transmission to others. Multiple quantitative studies have described demographic and clinical characteristics associated with retention in HIV care. However, qualitative studies are needed to better understand barriers and facilitators. Semi-structured interviews were conducted with 51 HIV-infected individuals, 25 who were retained in care and 26 not retained in care, from 3 urban clinics. Interview data were analyzed for themes using a modified grounded theory approach. Identified themes were compared between the two groups of interest: patients retained in care and those not retained in care. Overall, participants identified 12 barriers and 5 facilitators to retention in HIV care. On average, retained individuals provided 3 barriers, while persons not retained in care provided 5 barriers. Both groups commonly discussed depression/mental illness, feeling sick, and competing life activities as barriers. In addition, individuals not retained in care commonly reported expensive and unreliable transportation, stigma, and insufficient insurance as barriers. On average, participants in both groups referenced 2 facilitators, including the presence of social support, patient-friendly clinic services (transportation, co-location of services, scheduling/reminders), and positive relationships with providers and clinic staff. In our study, patients not retained in care faced more barriers, particularly social and structural barriers, than those retained in care. Developing care models where social and financial barriers are addressed, mental health and substance abuse treatment is integrated, and patient-friendly services are offered is important to keeping HIV-infected individuals engaged in care.

The HIV care continuum (diagnosis, linkage to care, retention in care, receipt of antiretroviral therapy (ART), viral suppression) has been used to identify opportunities for improving the delivery of HIV care. Continuum steps are typically calculated in a conditional manner, with the number of persons completing the prior step serving as the base population for the next step. This approach may underestimate the prevalence of viral suppression by excluding patients who are suppressed but do not meet standard definitions of retention in care. Understanding how retention in care and viral suppression interact and change over time may improve our ability to intervene on these steps in the continuum. We followed 17,140 patients at 11 U.S. HIV clinics between 2010-2012. For each calendar year, patients were classified into one of five categories: (1) retained/suppressed, (2) retained/not-suppressed, (3) not-retained/suppressed, (4) not-retained/not-suppressed, and (5) lost to follow-up (for calendar years 2011 and 2012 only). Retained individuals were those completing ≥2 HIV medical visits separated by ≥90 days in the year. Persons not retained completed ≥1 HIV medical visit during the year, but did not meet the retention definition. Persons lost to follow-up had no HIV medical visits in the year. HIV viral suppression was defined as HIV-1 RNA ≤200 copies/mL at the last measure in the year. Multinomial logistic regression was used to determine the probability of patients’ transitioning between retention/suppression categories from 2010 to 2011 and 2010 to 2012, adjusting for age, sex, race/ethnicity, HIV risk factor, insurance status, CD4 count, and use of ART. Overall, 65.8% of patients were retained/suppressed, 17.4% retained/not-suppressed, 10.0% not-retained/suppressed, and 6.8% not-retained/not-suppressed in 2010. 59.5% of patients maintained the same status in 2011 (kappa=0.458) and 53.3% maintained the same status in 2012 (kappa=0.437). Not counting patients not-retained/suppressed as virally suppressed, as is commonly done in the HIV care continuum, underestimated the proportion suppressed by 13%. Applying the care continuum in a longitudinal manner will enhance its utility.

Improving outcomes for people with HIV and mental illness will be critical to meeting the goals of the US National HIV/AIDS Strategy. In a retrospective analysis of the 2008–2010 cycles of the locally representative Philadelphia Medical Monitoring Project, we compared the proportions of HIV-infected adults with and without mental illness: (1) retained in care (≥2 primary HIV visits separated by ≥90 days in a 12-month period); (2) prescribed antiretroviral therapy (ART) at any point in a 12-month period; and (3) virally suppressed (HIV-1 RNA ≤200 copies/mL at the last measure in the 12-month period). Multivariable regression assessed associations between mental illness and the outcomes, adjusting for age, gender, race/ethnicity, insurance, alcohol abuse, injection drug use, CD4 count, and calendar year. Of 730 HIV-infected persons, representative of 9409 persons in care for HIV in Philadelphia, 49.0 % had mental illness. In adjusted analyses, there were no significant differences in retention (91.3 vs. 90.3 %; AOR 1.30, 95 % CI 0.63–2.56) and prescription of ART (83.2 vs. 88.7 %; AOR 0.79, 95 % CI 0.49–1.25) between those with and without mental illness. However, mentally ill patients were less likely to achieve viral suppression than those without mental illness (65.9 vs. 74.4 %; AOR 0.64, 95 % CI 0.46–0.90). These findings argue for the need to optimize ART adherence in this population.

Background: Previous analyses identified specific geographic areas in Philadelphia (hotspots) associated with negative outcomes along the HIV care continuum. We examined individual and community factors associated with residing in these hotspots. Methods: Retrospective cohort of 1404 persons newly diagnosed with HIV in 2008–2009 followed for 24 months after linkage to care. Multivariable regression examined associations between individual (age, sex, race/ethnicity, HIV transmission risk, and insurance status) and community (economic deprivation, distance to care, access to public transit, and access to pharmacy services) factors and the outcomes: residence in a hotspot associated with poor retention-in-care and residence in a hotspot associated with poor viral suppression. Results: In total, 24.4% and 13.7% of persons resided in hotspots associated with poor retention and poor viral suppression, respectively. For persons residing in poor retention hotspots, 28.3% were retained in care compared with 40.4% of those residing outside hotspots (P < 0.05). Similarly, for persons residing in poor viral suppression hotspots, 51.4% achieved viral suppression compared with 75.3% of those outside hotspots (P < 0.0.05). Factors significantly associated with residence in poor retention hotspots included female sex, lower economic deprivation, greater access to public transit, shorter distance to medical care, and longer distance to pharmacies. Factors significantly associated with residence in poor viral suppression hotspots included female sex, higher economic deprivation, and shorter distance to pharmacies. Conclusions: Individual and community-level associations with geographic hotspots may inform both content and delivery strategies for interventions designed to improve retention-in-care and viral suppression.

Health behaviors such as retention in HIV medical care and adherence to antiretroviral therapy (ART) pose major challenges to reducing new HIV infections, addressing health disparities, and improving health outcomes. Andersen’s Behavioral Model of Health Service Use provides a conceptual framework for understanding how patient and environmental factors affect health behaviors and outcomes, which can inform the design of intervention strategies. Factors affecting retention and adherence among persons with HIV include patient predisposing factors (e.g., mental illness, substance abuse), patient-enabling factors (e.g., social support, reminder strategies, medication characteristics, transportation, housing, insurance), and healthcare environment factors (e.g., pharmacy services, clinic experiences, provider characteristics). Evidence-based recommendations for improving retention and adherence include (1) systematic monitoring of clinic attendance and ART adherence; (2) use of peer or paraprofessional navigators to re-engage patients in care and help them remain in care; (3) optimization of ART regimens and pharmaceutical supply chain management systems; (4) provision of reminder devices and tools; (5) general education and counseling; (6) engagement of peer, family, and community support groups; (7) case management; and (8) targeting patients with substance abuse and mental illness. Further research is needed on effective monitoring strategies and interventions that focus on improving retention and adherence, with specific attention to the healthcare environment.

We evaluated 1359 adults newly diagnosed with HIV in Philadelphia in 2010–2011 to determine if diagnosis site (medical clinic, inpatient setting, counseling and testing center (CTC), and correctional facility) impacted time to linkage to care (difference between date of diagnosis and first CD4/viral load). A total of 1093 patients (80%) linked to care: 86% diagnosed in medical clinics, 75% in inpatient settings, 62% in CTCs, and 44% in correctional facilities. Adjusting for other factors, diagnosis in inpatient settings, CTCs, and correctional facilities resulted in a 33% (adjusted hazard ratio = 0.77; 95% confidence interval: 0.64 to 0.92), 46% (0.56; 0.42–0.72), and 75% (0.25; 0.18–0.35) decrease in the probability of linkage compared with medical clinics, respectively.

Andersen's Behavioral Model (ABM) provides a framework for understanding how patient and environmental factors impact health behaviors and outcomes. We compared patient-identified barriers/facilitators to retention in care and antiretroviral therapy (ART) adherence and evaluated how they mapped to ABM. Qualitative semi-structured interviews with 51 HIV-infected adults at HIV clinics in Philadelphia, PA, in 2013 were used to explore patients' experiences with HIV care and treatment. Interview data were analyzed for themes using a grounded theory approach. Among those interviewed, 53% were male and 88% were nonwhite; 49% were retained in care, 96% were on ART, and 57% were virally suppressed. Patients discussed 18 barriers/facilitators to retention in care and ART adherence: 11 common to both behaviors (stigma, mental illness, substance abuse, social support, reminder strategies, housing, insurance, symptoms, competing life activities, colocation of services, provider factors), 3 distinct to retention (transportation, clinic experiences, appointment scheduling), and 4 distinct to adherence (medication characteristics, pharmacy services, health literacy, health beliefs). Identified barriers/facilitators mapped to all ABM domains. These data support the use of ABM as a framework for classifying factors influencing HIV-specific health behaviors and have the potential to inform the design of interventions to improve retention in care and ART adherence.