Towards a shared understanding of the learning health system in a large academic-based health system: A qualitative analysis.

Healthcare delivery is currently undergoing major structural reform, and the Learning Health System (LHS) has been proposed as an aspirational model to guide healthcare transformation. As efforts to build LHS take considerable investment from health systems, it is critical to understand their leaders' perspectives on the rationale for pursuing an LHS and the potential benefits for doing so. This paper describes the qualitative analysis of semi-structured interviews (n = 17) with health system leaders about their general perceptions of the LHS, description of key attributes and potential benefits, and perception of barriers to and facilitators for advancing the model. Participants universally endorsed the goal of the local health system aspiring to become an LHS. Participants identified many recognized attributes of LHS, though they emphasized unique attributes and potential benefits. There was also heterogeneity in participants' views on what to prioritize, how to structure the local LHS within existing initiatives, and how new initiatives should be implemented. Improving conceptual clarity of attributes of the LHS would improve its potential in guiding future reform.

Reducing no-show visits and disparities in access: The impact of telemedicine.

BACKGROUND: No-show visits have serious consequences for patients, providers, and healthcare systems as they lead to delays in care, increased costs, and reduced access to services. Telemedicine has emerged as a promising alternative to in-person visits by reducing travel barriers, but risks exacerbating the digital divide. The aim of this study was to assess the impact of telemedicine (video and phone) at a tertiary care academic center on no-show visits compared to in-person visits. METHODS: A retrospective cohort analysis of all weekday clinic visits among in-state adult patients at a single tertiary care center in the southeast from January 2020 to April 2023 was performed. Rates of no-show visits for patients who were seen via phone and video were compared with those who were seen in-person. Demographic and clinical characteristics of these groups were also compared, including age, sex, race/ethnicity, socioeconomic status, and visit type. The primary outcome was the rate of no-show visits for each visit type. RESULTS: Our analysis included 3,105,382 scheduled appointments, of which 81.2% were in-person, 13.4% via video, and 5.4% via phone calls. Compared to in-person visits, phone calls and video visits reduced the odds of no-show visits by 50% (aOR 0.5, CI 0.49-0.51) and 15% (aOR 0.85, CI 0.84-0.86), respectively. Older patients, Black patients, patients furthest from clinic, and patients from counties with the greatest degree of vulnerability and disparities in digital access were more likely to use phone visits. No-shows were more common among non-white, male, and younger patients from counties with lower socioeconomic status. CONCLUSION: Telemedicine effectively reduced no-show visits. However, limiting telemedicine to video-based visits only exacerbated disparities in access. Phone calls allow historically underserved patients from lower socioeconomic backgrounds to access healthcare and should be included within the definition of telemedicine.

Longitudinal Associations of Experienced and Perceived Community Stigma With Antiretroviral Therapy Adherence and Viral Suppression in New-to-Care People With HIV: Mediating Roles of Internalized Stigma and Depression Symptoms.

BACKGROUND: Although cross-sectional studies have suggested that HIV-related stigma and depression symptoms may result in poor HIV treatment and health outcomes, few studies have investigated potential longitudinal mechanisms in these relationships. Furthermore, longitudinal effects of HIV-related stigma on health outcomes have not been examined in people with HIV (PWH) newly initiating HIV clinical care. We examined longitudinal associations between experienced and perceived community stigma and health outcomes (antiretroviral therapy [ART] adherence and viral load), mediated by internalized stigma and depression symptoms among new-to-care PWH in the United States. SETTING/METHODS: Data were obtained from 371 PWH who initiated HIV medical care at 4 HIV sites at baseline and 48 weeks later between December 2013 and 2018. Validated measures were used to assess experienced stigma, perceived community stigma, internalized stigma, depression symptoms, and ART adherence, and viral load was obtained from medical records at the final study visit. RESULTS: Serial mediation models revealed significant indirect effects of experienced stigma and perceived community stigma on ART adherence and on viral suppression, first through internalized stigma and then through depression symptoms. CONCLUSIONS: These results suggest that PWH may tend to internalize HIV-related stigma when they experience acts of stigmatization or perceive negative attitudes in society, which in turn may result in negative effects on psychological and physical well-being. These findings about how stigma in society may be an antecedent mechanism for PWH to develop internalized stigma, which in turn affects individual health outcomes, can be used to tailor both individual-level and community-level interventions.

"Just the Stigma Associated with PrEP Makes You Feel Like It's HIV Itself": Exploring PrEP Stigma, Skepticism, and Medical Mistrust Among Black Cisgender Women in Urban and Rural Counties in the U.S. Deep South.

Despite its effectiveness in HIV prevention, PrEP use among Black women is suboptimal. Notably in the Deep South, Black women have the lowest PrEP uptake rates among all US regions. To increase PrEP engagement, research suggests the implementation of structural and social interventions particular to the needs of Black women. The state of Alabama is of priority to federal HIV prevention initiatives; therefore, this study conducted focus groups among 47 cis-gender Black women in rural and urban Alabama counties, with the highest statewide HIV incidence rates, to understand perceptions of PrEP and decision-making processes. Deductive coding analysis was conducted and themes were finalized based on consensus among the two coders. Four themes were identified. Findings show stigma undergirds Alabaman Black women's decisions to engage in PrEP care. Moreover, women reported stigma stifled community-level education about PrEP. Despite these experiences, education was regarded as a strategy to decrease stigma and PrEP skepticism, the latter of which emerged as a prominent theme. Medical mistrust and healthcare engagement were the other emergent themes influencing participation in PrEP care. To ensure PrEP efforts meet the needs of Black cisgender women in Alabama counties, interventions must address longstanding stigma, increase educational initiatives, and ensure interventions consider women's experiences with medical mistrust and health care engagement.

A mixed methods evaluation assessing the feasibility of implementing a PrEP data dashboard in the Southeastern United States.

BACKGROUND: Alabama is one of seven priority states for the National Ending the HIV Epidemic Initiative due to a disproportionate burden of rural infections. To reverse growing infection rates, the state must increase its focus on prevention efforts, including novel strategies. One such approach is to utilize dashboards that visualize real-time data on the pre-exposure prophylaxis (PrEP) care continuum to assist in prioritizing evidence-based preventative care for those most vulnerable for HIV infection. METHODS: We conducted a mixed methods evaluation to ascertain stakeholders' perceptions on the acceptability, feasibility, appropriateness, and usability of a PrEP care continuum dashboard, as well as gain insight on ways to improve the activities necessary to sustain it. Clinicians, administrators, and data personnel from participating sites in Alabama completed surveys (n = 9) and participated in key informant interviews (n = 10) to better understand their experiences with the prototype data dashboard and to share feedback on how it can be modified to best fit their needs. RESULTS: Surveys and interviews revealed that all participants find the pilot data dashboard to be an acceptable, feasible, and appropriate intervention for clinic use. Overall, stakeholders find the pilot dashboard to be usable and helpful in administrative efforts, such as report and grant writing; however, additional refining is needed in order to reduce burden and optimize usefulness. Participants voiced concerns about their site's abilities to sustain the dashboard, including the lack of systematized PrEP protocols and limited funds and staff time dedicated to PrEP data collection, cleaning, and upload. CONCLUSION: Study participants from clinics providing HIV prevention services, including PrEP, in Alabama voiced interest in sustaining and refining a data dashboard that tracks clients across the PrEP care continuum. Despite viewing the platform itself as an acceptable, feasible, and appropriate intervention, participants agreed that efforts need to be focused on standardizing PrEP data collection protocols in order to ensure consistent, accurate data capture and that limited funds and staff time are barriers to the sustained implementation of the dashboard in practice.

Multilevel Resilience and HIV Virologic Suppression Among African American/Black Adults in the Southeastern United States.

OBJECTIVE: To assess overall and by neighborhood risk environments whether multilevel resilience resources were associated with HIV virologic suppression among African American/Black adults in the Southeastern United States. SETTING AND METHODS: This clinical cohort sub-study included 436 African American/Black participants enrolled in two parent HIV clinical cohorts. Resilience was assessed using the Multilevel Resilience Resource Measure (MRM) for African American/Black adults living with HIV, where endorsement of a MRM statement indicated agreement that a resilience resource helped a participant continue HIV care despite challenges or was present in a participant's neighborhood. Modified Poisson regression models estimated adjusted prevalence ratios (aPRs) for virologic suppression as a function of categorical MRM scores, controlling for demographic, clinical, and behavioral characteristics at or prior to sub-study enrollment. We assessed for effect measure modification (EMM) by neighborhood risk environments. RESULTS: Compared to participants with lesser endorsement of multilevel resilience resources, aPRs for virologic suppression among those with greater or moderate endorsement were 1.03 (95% confidence interval: 0.96-1.11) and 1.03 (0.96-1.11), respectively. Regarding multilevel resilience resource endorsement, there was no strong evidence for EMM by levels of neighborhood risk environments. CONCLUSIONS: Modest positive associations between higher multilevel resilience resource endorsement and virologic suppression were at times most compatible with the data. However, null findings were also compatible. There was no strong evidence for EMM concerning multilevel resilience resource endorsement, which could have been due to random error. Prospective studies assessing EMM by levels of the neighborhood risk environment with larger sample sizes are needed.

Measuring continuity of care for diabetes: which visits to include?

OBJECTIVES: Continuity of care measures are widely used to evaluate the quality of health care delivery, but which visits are included vary across studies. Our objective was to determine how the provider specialties included affect continuity values, year-to-year stability, and association with emergency department (ED) visits. STUDY DESIGN: Retrospective study of Alabama Medicaid administrative data. METHODS: We included beneficiaries with diabetes who had at least 3 outpatient visits in each of 2018 and 2019 (N = 9578). We defined 3 provider groupings: all providers, diabetes-broad (primary care, cardiology, neurology, endocrinology, ophthalmology, nephrology, and psychiatry), and diabetes-narrow (primary care and endocrinology). Continuity of care was calculated using the Continuity of Care Index (COCI) for each provider grouping. We compared correlation between measures and from year to year using Spearman correlations, and we used multivariable logistic regression to determine association with ED visits. RESULTS: The mean COCI was 0.54 using visits with all providers, 0.64 with diabetes-broad providers, and 0.83 with diabetes-narrow providers. COCI with diabetes-narrow providers was moderately correlated with the broader sets of providers (Spearman ρ, 0.52-0.65). Comparing each participant's COCI in 2018 with that in 2019, the mean intraperson difference was similar (0.16-0.22), and correlation was moderate (Spearman ρ, 0.41-0.47) for each measure. COCI had similar weak association with ED visits using each provider grouping (odds ratio, 0.99; 95% CI, 0.98-0.99 for each 0.1-unit difference in COCI). CONCLUSIONS: Continuity values differed substantially depending on which provider specialties were included. The importance of this variation is uncertain, as continuity was weakly associated with ED visits using each of the measures.

Real-world integration of the protocol for responding to and assessing patients' assets, risks, and experiences tool to assess social determinants of health in the electronic medical record at an academic medical center.

Objective: To describe the real-world deployment of a tool, the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), to assess social determinants of health (SDoH) in an electronic medical record (EMR). Methods: We employed the collection of the PRAPARE tool in the EMR of a large academic health system in the ambulatory clinic and emergency department setting. After integration, we evaluated SDoH prevalence, levels of missingness, and data anomalies to inform ongoing collection. We summarized responses using descriptive statistics and hand-reviewed data text fields and patterns in the data. Data on patients who were administered with the PRAPARE from February to December 2020 were extracted from the EMR. Patients missing ≥ 12 PRAPARE questions were excluded. Social risks were screened using the PRAPARE. Information on demographics, admittance status, and health coverage were extracted from the EMR. Results: Assessments with N = 6531 were completed (mean age 54 years, female (58.6%), 43.8% Black). Missingness ranged from 0.4% (race) to 20.8% (income). Approximately 6% of patients were homeless; 8% reported housing insecurity; 1.4% reported food needs; 14.6% had healthcare needs; 8.4% needed utility assistance; and 5% lacked transportation related to medical care. Emergency department patients reported significantly higher proportions of suboptimal SDoH. Conclusions: Integrating the PRAPARE assessment in the EMR provides valuable information on SDoH amenable to intervention, and strategies are needed to increase accurate data collection and to improve the use of data in the clinical encounter.

Using Principles of an Adaptation Framework to Adapt a Transdiagnostic Psychotherapy for People With HIV to Improve Mental Health and HIV Treatment Engagement: Focus Groups and Formative Research Study.

BACKGROUND: HIV treatment engagement is critical for people with HIV; however, behavioral health comorbidities and HIV-related stigma are key barriers to engagement. Treatments that address these barriers and can be readily implemented in HIV care settings are needed. OBJECTIVE: We presented the process for adapting transdiagnostic cognitive behavioral psychotherapy, the Common Elements Treatment Approach (CETA), for people with HIV receiving HIV treatment at a Southern US HIV clinic. Behavioral health targets included posttraumatic stress, depression, anxiety, substance use, and safety concerns (eg, suicidality). The adaptation also included ways to address HIV-related stigma and a component based on Life-Steps, a brief cognitive behavioral intervention to support patient HIV treatment engagement. METHODS: We applied principles of the Assessment, Decision, Administration, Production, Topical Experts, Integration, Training, Testing model, a framework for adapting evidence-based HIV interventions, and described our adaptation process, which included adapting the CETA manual based on expert input; conducting 3 focus groups, one with clinic social workers (n=3) and 2 with male (n=3) and female (n=4) patients to obtain stakeholder input for the adapted therapy; revising the manual according to this input; and training 2 counselors on the adapted protocol, including a workshop held over the internet followed by implementing the therapy with 3 clinic patients and receiving case-based consultation for them. For the focus groups, all clinic social workers were invited to participate, and patients were referred by clinic social workers if they were adults receiving services at the clinic and willing to provide written informed consent. Social worker focus group questions elicited reactions to the adapted therapy manual and content. Patient focus group questions elicited experiences with behavioral health conditions and HIV-related stigma and their impacts on HIV treatment engagement. Transcripts were reviewed by 3 team members to catalog participant commentary according to themes relevant to adapting CETA for people with HIV. Coauthors independently identified themes and met to discuss and reach a consensus on them. RESULTS: We successfully used principles of the Assessment, Decision, Administration, Production, Topical Experts, Integration, Training, Testing framework to adapt CETA for people with HIV. The focus group with social workers indicated that the adapted therapy made conceptual sense and addressed common behavioral health concerns and practical and cognitive behavioral barriers to HIV treatment engagement. Key considerations for CETA for people with HIV obtained from social worker and patient focus groups were related to stigma, socioeconomic stress, and instability experienced by the clinic population and some patients' substance use, which can thwart the stability needed to engage in care. CONCLUSIONS: The resulting brief, manualized therapy is designed to help patients build skills that promote HIV treatment engagement and reduce symptoms of common behavioral health conditions that are known to thwart HIV treatment engagement.

A community health worker and mobile health app intervention to improve adherence to HIV medication among persons with HIV: the CHAMPS study protocol.

BACKGROUND: Persons with HIV (PWH) can now achieve a near-normal life expectancy due to antiretroviral therapy (ART). Despite widespread availability of ART in the United States (US), many of the country's approximate 1.1 million PWH are not achieving viral suppression due to poor ART adherence. Viral suppression rates are particularly low in Alabama (AL, 62%) and New York City (NYC, 67%). There is mixed evidence on the efficacy of community health workers (CHW) and mHealth interventions for improving ART adherence and viral suppression in PWH thus, we sought to combine these interventions and test the efficacy for improving health outcomes in PWH. METHODS: The CHAMPS study is a two-arm randomized controlled trial among 300 PWH with suboptimal primary care appointment adherence (n = 150 in AL and 150 in NYC) over the course of 12 months. Participants are randomly assigned to CHAMPS (intervention) or a standard-of-care (control) arm. Participants in the intervention arm are given a CleverCap pill bottle that syncs to the WiseApp to track medication adherence, reminds users to take their medication at a set time, and enables communication with CHW. All participants complete baseline, 6-month, and 12-month follow-up visits where surveys are administered and, CD4 and HIV-1 viral load are obtained through blood draw. DISCUSSION: Maintaining ART adherence has significant implications in HIV management and transmission. mHealth technologies have been shown to optimize the provision of health services, produce positive changes in health behavior, and significantly improve health outcomes. CHW interventions also provide personal support to PWH. The combination of these strategies may provide the necessary intensity to increase ART adherence and clinic attendance among PWH at highest risk for low engagement. Delivering care remotely enables CHW to contact, assess, and support numerous participants throughout the day, reducing burden on CHW and potentially improving intervention durability for PWH. The adoption of the WiseApp coupled with community health worker sessions in the CHAMPS study has the potential to improve HIV health outcomes, and will add to the growing knowledge of mHealth and CHW efforts to improve PWH medication adherence and viral suppression. TRIAL REGISTRATION: This trial was registered with Clinicaltrials.gov (NCT04562649) on 9/24/20.

Development and implementation of a distributed data network between an academic institution and state health departments to investigate variation in time to HIV viral suppression in the Deep South.

BACKGROUND: Achieving early and sustained viral suppression (VS) following diagnosis of HIV infection is critical to improving outcomes for persons with HIV (PWH). The Deep South of the United States (US) is a region that is disproportionately impacted by the domestic HIV epidemic. Time to VS, defined as time from diagnosis to initial VS, is substantially longer in the South than other regions of the US. We describe the development and implementation of a distributed data network between an academic institution and state health departments to investigate variation in time to VS in the Deep South. METHODS: Representatives of state health departments, the Centers for Disease Control and Prevention (CDC), and the academic partner met to establish core objectives and procedures at the beginning of the project. Importantly, this project used the CDC-developed Enhanced HIV/AIDS Reporting System (eHARS) through a distributed data network model that maintained the confidentiality and integrity of the data. Software programs to build datasets and calculate time to VS were written by the academic partner and shared with each public health partner. To develop spatial elements of the eHARS data, health departments geocoded residential addresses of each newly diagnosed individual in eHARS between 2012-2019, supported by the academic partner. Health departments conducted all analyses within their own systems. Aggregate results were combined across states using meta-analysis techniques. Additionally, we created a synthetic eHARS data set for code development and testing. RESULTS: The collaborative structure and distributed data network have allowed us to refine the study questions and analytic plans to conduct investigations into variation in time to VS for both research and public health practice. Additionally, a synthetic eHARS data set has been created and is publicly available for researchers and public health practitioners. CONCLUSIONS: These efforts have leveraged the practice expertise and surveillance data within state health departments and the analytic and methodologic expertise of the academic partner. This study could serve as an illustrative example of effective collaboration between academic institutions and public health agencies and provides resources to facilitate future use of the US HIV surveillance system for research and public health practice.

The Brief Human Immunodeficiency Virus (HIV) Index: A Rapid 3-Item Scale to Measure Engagement in HIV Care.

We created a brief version of The Index, a validated patient-reported measure that has potential to quickly identify patients at risk for poor retention. We analyzed Index scores from 2406 patients from 2016 to 2017 in a national cohort of patients in human immunodeficiency virus (HIV) care. Index scores predicted poor retention 12 months after administered.

Using publicly available data to identify priority communities for a SARS-CoV-2 testing intervention in a southern U.S. state.

Background: The U.S. Southeast has a high burden of SARS-CoV-2 infections and COVID-19 disease. We used public data sources and community engagement to prioritize county selections for a precision population health intervention to promote a SARS-CoV-2 testing intervention in rural Alabama during October 2020 and March 2021. Methods: We modeled factors associated with county-level SARS-CoV-2 percent positivity using covariates thought to associate with SARS-CoV-2 acquisition risk, disease severity, and risk mitigation practices. Descriptive epidemiologic data were presented to scientific and community advisory boards to prioritize counties for a testing intervention. Results: In October 2020, SARS-CoV-2 percent positivity was not associated with any modeled factors. In March 2021, premature death rate (aRR 1.16, 95% CI 1.07, 1.25), percent Black residents (aRR 1.00, 95% CI 1.00, 1.01), preventable hospitalizations (aRR 1.03, 95% CI 1.00, 1.06), and proportion of smokers (aRR 0.231, 95% CI 0.10, 0.55) were associated with average SARS-CoV-2 percent positivity. We then ranked counties based on percent positivity, case fatality, case rates, and number of testing sites using individual variables and factor scores. Top ranking counties identified through factor analysis and univariate associations were provided to community partners who considered ongoing efforts and strength of community partnerships to promote testing to inform intervention. Conclusions: The dynamic nature of SARS-CoV-2 proved challenging for a modelling approach to inform a precision population health intervention at the county level. Epidemiological data allowed for engagement of community stakeholders implementing testing. As data sources and analytic capacities expand, engaging communities in data interpretation is vital to address diseases locally.

Perspective: Acknowledging a Hierarchy of Social Needs in Diabetes Clinical Care and Prevention.

The evidence of suboptimal social determinants of health (SDoH) on poor health outcomes has resulted in widespread calls for research to identify ways to measure and address social needs to improve health outcomes and reduce disparities. While assessing SDoH has become increasingly important in diabetes care and prevention research, little guidance has been offered on how to address suboptimal determinants in diabetes-related clinical care, prevention efforts, medical education and research. Not surprisingly, many patients experience multiple social needs - some that are more urgent (housing) than others (transportation/resources), therefore the order in which these needs are addressed needs to be considered in the context of diabetes care/outcomes. Here we discuss how conceptualizing diabetes related health through the lens of Maslow's hierarchy of needs has potential to help prioritize individual social needs that should be addressed to improve outcomes in the context of population-level determinants in the communities where people live.

Relationships Between Patient Race and Residential Race Context With Missed Human Immunodeficiency Virus Care Visits in the United States, 2010-2015.

BACKGROUND: Racial inequities exist in retention in human immunodeficiency virus (HIV) care and multilevel analyses are needed to contextualize and address these differences. Leveraging data from a multisite clinical cohort of people with HIV (PWH), we assessed the relationships between patient race and residential characteristics with missed HIV care visits. METHODS: Medical record and patient-reported outcome (PRO; including mental health and substance-use measures) data were drawn from 7 participating Center for AIDS Research Network of Integrated Clinical Systems (CNICS) sites including N = 20 807 PWH from January 2010 through December 2015. Generalized estimating equations were used to account for nesting within individuals and within census tracts in multivariable models assessing the relationship between race and missed HIV care visits, controlling for individual demographic and health characteristics and census tract characteristics. RESULTS: Black PWH resided in more disadvantaged census tracts, on average. Black PWH residing in census tracts with higher proportion of Black residents were more likely to miss an HIV care visit. Non-Black PWH were less likely to miss a visit regardless of where they lived. These relationships were attenuated when PRO data were included. CONCLUSIONS: Residential racial segregation and disadvantage may create inequities between Black PWH and non-Black PWH in retention in HIV care. Multilevel approaches are needed to retain PWH in HIV care, accounting for community, healthcare setting, and individual needs and resources.

Clinical and Behavioral Outcomes for Transgender Women Engaged in HIV Care: Comparisons to Cisgender Men and Women in the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) Cohort.

Describe health of transgender women (TW) with HIV vs. cisgender men and women (CM, CW) in a U.S. HIV care cohort. Data were from Centers for AIDS Research Network of Integrated Clinical Systems (CNICS), 2005-2022. TW were identified using clinical data/identity measures. PWH (n = 1285) were included in analyses (275 TW, 547 CM, 463 CW). Cross-sectional multivariable analyses compared HIV outcomes/co-morbidities between TW/CM and TW/CW, and adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) were estimated. TW had poorer adherence (> 90% adherent; aOR 0.57; 95%CI 0.38, 0.87) and were more likely to miss ≥ 3 visits in the past year than CM (aOR 1.50, 95%CI 1.06, 2.10); indicated more anxiety compared to both CM and CW (p ≤ 0.001, p = 0.02); hepatitis C infection (p = 0.03) and past-year/lifetime substance treatment (p = 0.004/p = 0.001) compared to CM; and substance use relative to CW. TW with HIV differed in HIV clinical outcomes and co-morbidities from CM and CW.

Partnership status and retention in care among cisgender heterosexual newly diagnosed people with HIV: a cohort study.

This study examined the role of partnership status (married, unmarried-partnered, and unpartnered) on retention in care among newly diagnosed (2013-2017), cisgender heterosexual people with HIV in Birmingham, Alabama (n = 152). This study evaluated all scheduled HIV primary care provider visits for two years following diagnosis date. A kept-visit measure was calculated such that, if an individual attended ≥1 visit in each of the four 6-month intervals, they were considered to have high visit constancy. A missed-visit measure was categorized as ≥1 no-show vs. 0 no-show for first and second year after diagnosis. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression models. Models were adjusted for confounding sociodemographic and clinical characteristics. The study population was 76% Black, 57% male, median age of 37 years. Overall, 65% had high visit consistency and 34.5% had ≥1 no-show in both years. Compared to unpartnered, married individuals had higher visit constancy [AOR (95% CI): 2.88 (1.02, 8.16)]; no differences were observed among unmarried-partnered individuals. No differences in having ≥1 no-show among partnership status groups were observed for either year. These findings suggest potential success of interventions involving a social confidant in optimizing retention in care among newly diagnosed, heterosexual PWH.

Characterizing the neighborhood risk environment in multisite clinic-based cohort studies: A practical geocoding and data linkages protocol for protected health information.

BACKGROUND: Maintaining patient privacy when geocoding and linking residential address information with neighborhood-level data can create challenges during research. Challenges may arise when study staff have limited training in geocoding and linking data, or when non-study staff with appropriate expertise have limited availability, are unfamiliar with a study's population or objectives, or are not affordable for the study team. Opportunities for data breaches may also arise when working with non-study staff who are not on-site. We detail a free, user-friendly protocol for constructing indices of the neighborhood risk environment during multisite, clinic-based cohort studies that rely on participants' protected health information. This protocol can be implemented by study staff who do not have prior training in Geographic Information Systems (GIS) and can help minimize the operational costs of integrating geographic data into public health projects. METHODS: This protocol demonstrates how to: (1) securely geocode patients' residential addresses in a clinic setting and match geocoded addresses to census tracts using Geographic Information System software (Esri, Redlands, CA); (2) ascertain contextual variables of the risk environment from the American Community Survey and ArcGIS Business Analyst (Esri, Redlands, CA); (3) use geoidentifiers to link neighborhood risk data to census tracts containing geocoded addresses; and (4) assign randomly generated identifiers to census tracts and strip census tracts of their geoidentifiers to maintain patient confidentiality. RESULTS: Completion of this protocol generates three neighborhood risk indices (i.e., Neighborhood Disadvantage Index, Murder Rate Index, and Assault Rate Index) for patients' coded census tract locations. CONCLUSIONS: This protocol can be used by research personnel without prior GIS experience to easily create objective indices of the neighborhood risk environment while upholding patient confidentiality. Future studies can adapt this protocol to fit their specific patient populations and analytic objectives.

Recent Stressful Life Events, Lifetime Traumatic Events, Missed Visits, and Antiretroviral Adherence Among Black Women With HIV in the Southeastern United States: A Cross-sectional Study.

ABSTRACT: Lifetime traumatic events are prevalent among people with HIV and consistently associated with deleterious HIV outcomes. Yet, little is known about the impact of recent stressful events on health outcomes among Black women with HIV (WWH). This cross-sectional study assessed the prevalence of recent stressful events and lifetime traumatic events and their association with HIV outcomes in Black WWH ( n = 200) in the Southeastern United States. We evaluated the association between stressful events and HIV outcomes using chi-square tests and unadjusted and adjusted logistic regression analyses. In the unadjusted analyses, missed visits were associated with higher odds of recent stressful events (odds ratio [OR] 1.10, 95% confidence interval [CI] 1.04-1.16) and lifetime traumatic events (OR 1.15, 95% CI 1.05-1.26). In the adjusted analysis, exposure to recent stressful events was independently associated with missed visits (adjusted OR 1.08, 95% CI 1.01-1.15). Interventions addressing recent stressful events are warranted.