A qualitative study examining the benefits and challenges of incorporating patient-reported outcome substance use and mental health questionnaires into clinical practice to improve outcomes on the HIV care continuum.

BACKGROUND: Inadequate identification and treatment of substance use (SU) and mental health (MH) disorders hinders retention in HIV care. The objective of this study was to elicit stakeholder input on integration of SU/MH screening using computer-assisted patient-reported outcomes (PROs) into clinical practice. METHODS: We conducted semi-structured interviews with HIV-positive patients who self-reported SU/MH symptoms on a computer-assisted PROs (n = 19) and HIV primary care providers (n = 11) recruited from an urban academic HIV clinic. Interviews were audio-recorded and transcribed. We iteratively developed codes and organized key themes using editing style analysis. RESULTS: Two themes emerged: (1) Honest Disclosure: Some providers felt PROs might improve SU/MH disclosure; more were concerned that patients would not respond honestly if their provider saw the results. Patients were also divided, stating PROs could help overcome stigma but that it could be harder to disclose SU/MH to a computer versus a live person. (2) Added Value in the Clinical Encounter: Most providers felt PROs would fill a practice gap. Patients had concerns regarding confidentiality but indicated PROs would help providers take better care of them. CONCLUSIONS: Both patients and providers indicated that PROs are potentially useful clinical tools to improve detection of SU/MH. However, patients and providers expressed conflicting viewpoints about disclosure of SU/MH using computerized PROs. Future studies implementing PROs screening interventions must assess concerns over confidentiality and honest disclosure of SU/MH to understand the effectiveness of PROs as a clinical tool. More research is also needed on patient-centered integration of the results of PROs in HIV care

Alcohol Use Disorder and Recent Alcohol Use and HIV Viral Non-Suppression Among People Engaged in HIV Care in an Urban Clinic, 2014–2018

We estimated joint associations between having history of alcohol use disorder (AUD) (based on prior ICD-9/ICD-10 codes) and recent self-reported alcohol use and viral non-suppression (≥ 1 viral load measurement > 20 copies/mL in the same calendar year as alcohol consumption was reported) among patients on ART enrolled in routine care, 2014–2018, in an urban specialty clinic. Among 1690 patients, 26% had an AUD, 21% reported high-risk alcohol use, and 39% had viral non-suppression. Relative to person-years in which people without AUD reported not drinking, prevalence of viral non-suppression was higher in person-years when people with AUD reported drinking at any level; prevalence of viral non-suppression was not significantly higher in person-years when people with AUD reported not drinking or person-years when people without AUD reported drinking at any level. No level of alcohol use may be “safe” for people with a prior AUD with regard to maintaining viral suppression

Who Will Show? Predicting Missed Visits Among Patients in Routine HIV Primary Care in the United States

Missed HIV medical visits predict poor clinical outcomes. We sought to identify patients at high risk of missing visits. We analyzed 2002–2014 data from six large US HIV clinics. At each visit, we predicted the likelihood of missing the next scheduled visit using demographic, clinical, and patient-reported psychosocial variables. Overall, 10,374 participants contributed 105,628 HIV visits. For 17% of visits, the next scheduled appointment was missed. The strongest predictor of a future missed visit was past-year missed visits. A model with only this predictor had area under the receiver operator curve = 0.65; defining “high risk” as those with any past-year missed visits had 73% sensitivity and 51% specificity in correctly identifying a future missed visit. Inclusion of other clinical and psychosocial predictors only slightly improved performance. Past visit attendance can identify those at increased risk for future missed visits, allowing for proactive allocation of resources to those at greatest risk

Development and validation of a multivariable prediction model for missed HIV health care provider visits in a large US clinical cohort

Background: Identifying individuals at high risk of missing HIV care provider visits could support proactive intervention. Previous prediction models for missed visits have not incorporated data beyond the individual level. Methods: We developed prediction models for missed visits among people with HIV (PWH) with ≥1 follow-up visit in the Center for AIDS Research Network of Integrated Clinical Systems from 2010 to 2016. Individual-level (medical record data and patient-reported outcomes), community-level (American Community Survey), HIV care site-level (standardized clinic leadership survey), and structural-level (HIV criminalization laws, Medicaid expansion, and state AIDS Drug Assistance Program budget) predictors were included. Models were developed using random forests with 10-fold cross-validation; candidate models with the highest area under the curve (AUC) were identified. Results: Data from 382 432 visits among 20 807 PWH followed for a median of 3.8 years were included; the median age was 44 years, 81% were male, 37% were Black, 15% reported injection drug use, and 57% reported male-to-male sexual contact. The highest AUC was 0.76, and the strongest predictors were at the individual level (prior visit adherence, age, CD4+ count) and community level (proportion living in poverty, unemployed, and of Black race). A simplified model, including readily accessible variables available in a web-based calculator, had a slightly lower AUC of .700. Conclusions: Prediction models validated using multilevel data had a similar AUC to previous models developed using only individual-level data. The strongest predictors were individual-level variables, particularly prior visit adherence, though community-level variables were also predictive. Absent additional data, PWH with previous missed visits should be prioritized by interventions to improve visit adherence

Exploring definitions of retention in care for people living with HIV in the United States in the modern treatment era

Objective: To describe retention in HIV care based on various definitions of retention in the modern treatment era. Design: A cohort study of people enrolled in care at seven mostly urban HIV clinics across the United States, 2010 - 2018. Methods: We estimated retention based on missed visits, kept visits, kept encounters (clinical visits, CD4þ cell counts, and viral loads), and HIV labs. We contrasted risk factors for retention by different definitions and estimated odds ratios for viral suppression and hazard ratios for mortality in 2 years immediately following the year in which retention was defined (the study year). Results: Across 108 171 person-years (N ¼ 21 481 people), in 71% of years, people kept ≥75% of scheduled visits; in 78%, people kept ≥2 visits >90 days apart; in 74%, people had ≥2 HIV labs >90 days apart; and in 47%, people had no gaps >6 months in clinic visits. Missing >25% of scheduled visits despite attending ≥2 visits >90 days apart was associated with nonwhite non-Hispanic race/ethnicity, history of injection drug use, and prior AIDS diagnosis. In contrast, attending ≥75% of scheduled visits while not attending ≥2 visits >90 days apart was associated with male sex, white race, no injection drug use history, and no prior AIDS diagnosis. Subsequent viral nonsuppression was more strongly associated with missed- than kept-visit measures of retention; 2-year mortality was only associated with failure to be retained by missed-visit measures. Discussion: Missed and kept-visit definitions of retention capture different constructs. Missed-visit measures are more strongly associated with poor HIV outcomes

Assessing effects of behavioral intervention on treatment outcomes among patients initiating HIV care: Rationale and design of iENGAGE intervention trial

During the initial year of HIV diagnosis, while patients are often overwhelmed adjusting to this life changing diagnosis, they must develop self-care behaviors for attending regular medical care visits and antiretroviral therapy (ART) adherence to achieve and sustain viral suppression (VS). Maintaining “HIV adherence” and integrating it into one's daily life is required to sustain VS over time. The HIV care continuum or “treatment cascade,” an epidemiological snapshot of the national epidemic in the United States (US), indicates that a minority of persons living with HIV (PLWH) have achieved VS. Little evidence exists regarding the effects of interventions focusing on PLWH newly initiating outpatient HIV care. An intervention that focuses on both retention in care and ART adherence skills delivered during the pivotal first year of HIV care is lacking. To address this, we developed a theory-based intervention evaluated in the Integrating Engagement and Adherence Goals upon Entry (iENGAGE) study, a National Institute of Allergy and Infectious Diseases (NIAID) funded randomized behavioral intervention trial. Here we present the study objectives, design and rationale, as well as the intervention components, targeting rapid and sustained VS through retention in HIV care and ART adherence during participants' first year of HIV care. The primary outcome of the study is 48-week VS (<200 c/mL). The secondary outcomes are retention in care, including HIV visit adherence and visit constancy, as well as ART adherence

Factors Associated with HIV Disclosure Status among iENGAGE Cohort of New to HIV Care Patients

HIV disclosure is an important behavior with implications for HIV treatment and prevention but understudied among new to HIV care patients who face unique challenges adjusting to a new diagnosis. This study evaluated the factors associated with HIV disclosure status and patterns of HIV disclosure among new to HIV care patients. A cross-sectional study was conducted evaluating the iENGAGE (integrating ENGagement and Adherence Goals upon Entry) cohort. Participants were enrolled in this randomized behavioral trial between December 2013 and June 2016. The primary and secondary outcomes included HIV disclosure status (Yes/No) and patterns of disclosure (Broad, Selective and Nondisclosure), respectively. Logistic and Multinomial Logistic Regression were used to evaluate the association of participant factors with HIV disclosure and patterns of HIV disclosure, respectively. Of 371 participants, the average age was 37 ± 12 years, 79.3% were males, and 62.3% were African Americans. A majority of participants (78.4%) disclosed their HIV status at baseline, 63.1% were broad disclosers and 15.2% were selective disclosers. In multivariable regression, black race, emotional support, and unmet needs predicted any HIV and broad disclosure, whereas males, emotional support, active coping, and acceptance were associated with selective disclosure. Interventions to promote early disclosure should focus on coping strategies and unmet needs, particularly among black and male people living with HIV initiating care

Risk factors for atrial fibrillation in a multicenter United States clinical cohort of people with HIV infection

To assess atrial fibrillation risk factors in people with HIV, we identified incident atrial fibrillation in a large clinical cohort of people receiving care. Compared with 970 controls without atrial fibrillation, the 97 with adjudicated incident atrial fibrillation were older, less likely Hispanic, and had more coronary disease, heart failure, and chronic obstructive pulmonary disease. In multivariable analysis, nonuse of antiretroviral therapy and prescription of antiretroviral regimens with multiple core agents were associated with increased atrial fibrillation risk

Clinic-level factors associated with retention in care among people living with human immunodeficiency virus in a multisite US Cohort, 2010–2016

Background. Retention in care (RIC) leads to reduced HIV transmission and mortality. Few studies have investigated clinic services and RIC among people living with HIV (PLWH) in the United States. We conducted a multisite retrospective cohort study to identify clinic services associated with RIC from 2010–2016 in the United States. Methods. PLWH with ≥1 HIV primary care visit from 2010–2016 at 7 sites in the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) were included. Clinic-level factors evaluated via site survey included patients per provider/ trainee, navigation, RIC posters/brochures, laboratory test timing, flexible scheduling, appointment reminder methods, and stigma support services. RIC was defined as ≥2 encounters per year, ≥90 days apart, observed until death, administrative censoring (31 December 2016), or loss to follow-up (censoring at first 12-month interval without a visit with no future visits). Poisson regression with robust error variance, clustered by site adjusting for calendar year, age, sex, race/ethnicity, and HIV transmission risk factor, estimated risk ratios (RRs) and 95% confidence intervals (CIs) for RIC. Results. Among 21 046 PLWH contributing 103 348 person-years, 67% of person-years were retained. Availability of text appointment reminders (RR, 1.13; 95% CI, 1.03–1.24) and stigma support services (RR, 1.11; 95% CI, 1.04–1.19) were associated with better RIC. Disparities persisted for age, sex, and race. Conclusions. Availability of text appointment reminders and stigma support services was associated with higher rates of RIC, indicating that these may be feasible and effective approaches for improving RIC

Beyond Core Indicators of Retention in HIV Care: Missed Clinic Visits Are Independently Associated With All-Cause Mortality

Background. The continuum of care is at the forefront of the domestic human immunodeficiency virus (HIV) agenda, with the Institute of Medicine (IOM) and Department of Health and Human Services (DHHS) recently releasing clinical core indicators. Core indicators for retention in care are calculated based on attended HIV care clinic visits. Beyond these retention core indicators, we evaluated the additional prognostic value of missed clinic visits for all-cause mortality