Methodological considerations on estimating medication adherence from self-report, electronic monitoring and electronic healthcare databases using the TEOS framework.

AIMS: Measuring adherence to medication is complex due to the diversity of contexts in which medications are prescribed, dispensed and used. The Timelines-Events-Objectives-Sources (TEOS) framework outlined a process to operationalize adherence. We aimed to develop practical recommendations for quantification of medication adherence using self-report (SR), electronic monitoring (EM) and electronic healthcare databases (EHD) consistent with the TEOS framework for adherence operationalization. METHODS: An adherence methodology working group of the International Society for Medication Adherence (ESPACOMP) analysed implications of the process of medication adherence for all data sources and discussed considerations specific to SR, EM and EHD regarding the information available on the prescribing, dispensing, recommended and actual use timelines, the four events relevant for distinguishing the adherence phases, the study objectives commonly addressed with each type of data, and the potential sources of measurement error and quality criteria applicable. RESULTS: Four key implications for medication adherence measurement are common to all data sources: adherence is a comparison between two series of events (recommended and actual use); it refers to one or more specific medication(s); it applies to regular repeated events coinciding with known recommended dosing; and it requires separate measurement of the three adherence phases for a complete picture of patients' adherence. We propose recommendations deriving from these statements, and aspects to be considered in study design when measuring adherence with SR, EM and EHD using the TEOS framework. CONCLUSION: The quality of medication adherence estimates is the result of several design choices that may optimize the data available.

Does the Quality of Behavior Change Counseling in Routine HIV Care Vary According to Topic and Demand?

HIV clinicians face increasing time constraints. Our objective was to describe the prevalence and quality of behavior change counseling within routine HIV visits and to explore whether clinicians may provide lower quality counseling when facing increased counseling demands. We audio-recorded and transcribed encounters between 205 patients and 12 clinicians at an urban HIV primary care clinic. We identified and coded episodes of behavior change counseling to determine clinicians' consistency with motivational interviewing (MI) and used multi-level regression to evaluate counseling quality changes with each additional topic. Clinician counseling for at least one behavior was indicated in 92% of visits (mean 2.5/visit). Behavioral topics included antiretroviral medication adherence (80%, n = 163), appointment adherence (54%, n = 110), drug use (46%, n = 95), tobacco use (45%, n = 93), unsafe sex (43%, n = 89), weight management (39%, n = 80), and alcohol use (35%, n = 71). Clinician counseling was most MI-consistent when discussing drug and tobacco use and least consistent for medication and appointment adherence, unsafe sex, and alcohol use. In multilevel analyses, clinician counseling was significantly less MI-consistent (ß = - 0.14, 95% CI - 0.29 to - 0.001) with each additional behavior change counseling need. This suggests that HIV ambulatory care be restructured to allocate increased time for patients with greater need for behavior change.

Mental health and ART adherence among adolescents living with HIV in Mozambique.

Little is known about the mental health needs of adolescents living with HIV (ALWH) in Mozambique, including the potential relationship between mental health challenges and poor antiretroviral treatment (ART) adherence. We examined mental health problems (anxiety, depression, post-traumatic stress disorder [PTSD] symptoms and impairment) and their association with self-reported ART adherence among ALWH ages 15-19 in Nampula, Mozambique. The associations between each mental health problem area and sub-optimal adherence were estimated using logistic regression, controlling for age, education, and social support, with interaction by gender. Males had significantly higher anxiety (5.6 vs 4.3, p = 0.01), depression (5.8 vs 4.1, p = 0.005), and PTSD (13.3 vs 9.8, p = 0.02) symptoms and impairment (1.8 vs 0.56, p<0.0001) scores than females. Proportion reporting sub-optimal adherence (65%) did not differ by gender. Higher anxiety, depression, and PTSD symptom and impairment scores were significantly associated with higher odds of sub-optimal ART adherence in males but not females. Among Mozambican ALWH, mental health problems were prevalent and two-thirds had ART adherence less than 90%. Worse mental health was associated with increased odds of sub-optimal ART adherence in males but not females. Interventions are needed to address mental health problems and improve ART adherence in Mozambican ALWH, particularly among males.

Changes in Nursing Home Populations Challenge Practice and Policy.

U.S. nursing homes (NH) have a growing prevalence of individuals with severe mental illness (SMI) and substance use disorders (SUD), and an associated increasing proportion of people under 65. We explored how Directors of Nursing (DONs) perceive challenges and strategies in caring for these populations. We conducted semi-structured telephone interviews with 32 DONs from diverse facilities around the U.S. Participants reported that people with SUD and SMI often present behavioral challenges requiring resource intensive responses, while regulations constrain optimal medication treatment. Younger individuals are considered more demanding of staff and impatient with traditional NH activities designed for older people. Some NHs report they screen out people with behavioral health disorders; they tend to be concentrated in NHs in economically disadvantaged communities. Individuals may remain in NHs because suitable settings for discharge are unavailable. These developments constitute a back door "re-institutionalization" of people with behavioral health disorders, and a growing crisis.

Understanding the Relationship Between Nursing Home Experience With Human Immunodeficiency Virus and Patient Outcomes.

BACKGROUND: As the population with human immunodeficiency virus (HIV) continues to age, the need for nursing home (NH) care is increasing. OBJECTIVES: To assess whether NH's experience in treating HIV is related to outcomes. RESEARCH DESIGN: We used claims and assessment data to identify individuals with and without HIV who were admitted to NHs in 9 high HIV prevalent states. We classified NHs into HIV experience categories and estimate the effects of NH HIV experience on patient's outcomes. We applied an instrumental variable using distances between each individual's residence and NHs with different HIV experience. SUBJECTS: In all, 5,929,376 admissions for those without HIV and 53,476 admissions for residents with HIV. MEASURES: Our primary outcomes were 30-day hospital readmissions, likelihood of becoming a long stay resident, and 180-day mortality posthospital discharge. RESULTS: Residents with HIV tended to have poorer outcomes than residents without HIV, regardless of the NH they were admitted to. Residents with HIV admitted to high HIV experience NHs were more likely to be readmitted to the hospital than those admitted to NHs with lower HIV experience (19.6% in 0% HIV NHs, 18.7% in 05% HIV NHs and 22.9% in 5%-50% HIV NHs). CONCLUSIONS: Residents with HIV experience worse outcomes in NHs than residents without HIV. Increased HIV experience was not related to improved outcomes.

The Relationship Between Medicare Advantage Star Ratings and Enrollee Experience.

BACKGROUND: Medicare Advantage plans, private managed care plans that enrolled 34% of Medicare beneficiaries in 2019, received $6 billion in annual bonus payments on the basis of their performance on a 5-star rating system. Little is known, however, as to the extent these ratings adequately capture enrollee experience. OBJECTIVES: To measure the effect of exposure to higher rated Medicare Advantage contracts on enrollee experience. DESIGN: An instrumental variables analysis using MA contract consolidation as an exogenous shock to the quality of plan enrollees are exposed to. PARTICIPANTS: A total of 345,897 MA enrollees enrolled in non-consolidated contracts and 21,405 enrollees who were consolidated. MAIN MEASURES: The primary exposure was enrollee star rating, instrumented using contract consolidation. The primary outcomes were enrollee self-reported experience measures. KEY RESULTS: There were no significant effects on increased star ratings on 23 of 27 outcomes. A one-star increase in contract star rating leads to a 5.4 percentage point increase in reporting that pain does not interfere with daily activities (95%CI 2.4, 8.4), and a 4.4 percentage reduction in the likelihood that a physician would talk to the enrollee about physical activity (95%CI: -7.8, -1.1, all p<0.05). A one-star increase in contract star rating led to an 8.4 percentage point reduction in achieving the top score on the received needed information index (95%CI: -16.4, -0.4), and a 1.8 percentage point reduction in responding with the lowest score for the overall rating of care (95%CI: -3.5, -0.1). CONCLUSIONS: Exposure to a higher rated MA contract did not appreciably increase enrollee experience. Policymakers should consider reassessing how these ratings and associated bonus payments are currently calculated.

TEOS: A framework for constructing operational definitions of medication adherence based on Timelines-Events-Objectives-Sources.

AIMS: Managing adherence to medications is a priority for health systems worldwide. Adherence research is accumulating, yet the quality of the evidence is reduced by various methodological limitations. In particular, the heterogeneity and low accuracy of adherence measures have been highlighted in many literature reviews. Recent consensus-based guidelines advise on best practices in defining adherence (ABC) and reporting of empirical studies (EMERGE). While these guidelines highlight the importance of operational definitions in adherence measurement, such definitions are rarely included in study reports. To support researchers in their measurement decisions, we developed a structured approach to formulate operational definitions of adherence. METHODS: A group of adherence and research methodology experts used theoretical, methodological and practical considerations to examine the process of applying adherence definitions to various research settings, questions and data sources. Consensus was reached through iterative review of discussion summaries and framework versions. RESULTS: We introduce TEOS, a four-component framework to guide the operationalization of adherence concepts: (1) describe treatment as four simultaneous interdependent timelines (recommended and actual use, conditional on prescribing and dispensing); (2) locate four key events along these timelines to delimit the three ABC phases (first and last recommended use, first and last actual use); (3) revisit study objectives and design to fine-tune research questions and assess measurement validity and reliability needs, and (4) select data sources (e.g., electronic monitoring, self-report, electronic healthcare databases) that best address measurement needs. CONCLUSION: Using the TEOS framework when designing research and reporting explicitly on these components can improve measurement quality.

Use of Antiretroviral Therapy for a US Medicaid Enrolled Pediatric Cohort with HIV.

Appropriate antiretroviral therapy use in children with Human Immunodeficiency Virus (HIV) is essential for optimizing clinical outcomes and preventing HIV transmission. To describe and determine correlates of HIV antiretroviral therapy (ART) persistence and implementation for children and adolescents in the United States. We studied Medicaid enrollees (ages 2-19 years) with HIV in 14 states in 2011 and 2012. We defined non-persistence as a discontinuation of an ART regimen for at least 90 days, and calculated implementation as the proportion of days on ART while persistent. We used Cox proportional regression and logistic regression to determine characteristics associated with ART non-persistence and poor (< 90%) implementation, respectively. Among those with ≥ 1 year of observation (n = 8679), 55.7% never received ART. For ART recipients (n = 3849), 34.9% discontinued ART. Correlates of ART non-persistence included older age (e.g., 15-19 vs. 2-5 years [adjusted hazard ratio (aHR) 2.9, 95% CI 2.1-4.0]; females vs. males (aHR 1.2; 1.1-1.3); mental health conditions (aHR 1.3; 1.1-1.5), drug/alcohol abuse (aHR 1.2; 1.0-1.5) and HIV-related conditions (aHR 1.2; 1.0-1.4). Those with an outpatient visit were less likely to discontinue an ART (aHR 0.32; 0.28-0.36). During persistent episodes, 42.3% had poor ART implementation. Correlates of poor implementation included females vs. males (aOR 1.2; 95% CI 1.0-1.3), Black vs. White race (aOR 1.3; 95% CI 1.1-1.7) and Hispanic/Latino vs. White (aOR 1.3; 1.0-1.8). Among Medicaid youth with HIV, there were low rates of ART exposure, and ART discontinuation was common. Correlates of persistence and implementation differed, suggesting a need for varying clinical interventions to improve connection to care and ensuring ongoing engagement with ART use.

Primary Care Providers' Perspectives on Using Automated HIV Risk Prediction Models to Identify Potential Candidates for Pre-exposure Prophylaxis.

Identifying patients at increased risk for HIV acquisition can be challenging. Primary care providers (PCPs) may benefit from tools that help them identify appropriate candidates for HIV pre-exposure prophylaxis (PrEP). We and others have previously developed and validated HIV risk prediction models to identify PrEP candidates using electronic health records data. In the current study, we convened focus groups with PCPs to elicit their perspectives on using prediction models to identify PrEP candidates in clinical practice. PCPs were receptive to using prediction models to identify PrEP candidates. PCPs believed that models could facilitate patient-provider communication about HIV risk, destigmatize and standardize HIV risk assessments, help patients accurately perceive their risk, and identify PrEP candidates who might otherwise be missed. However, PCPs had concerns about patients' reactions to having their medical records searched, harms from potential breaches in confidentiality, and the accuracy of model predictions. Interest in clinical decision-support for PrEP was greatest among PrEP-inexperienced providers. Successful implementation of prediction models will require tailoring them to providers' preferences and addressing concerns about their use.

Reliability and Validity of a Brief Self-Report Adherence Measure among People with HIV Experiencing Homelessness and Mental Health or Substance Use Disorders.

The study examines the reliability and validity of a 3-item self-report adherence measure among people with HIV (PWH) experiencing homelessness, substance use, and mental health disorders. 336 participants were included from nine sites across the US between September 2013 and February 2017. We assessed the validity of a self-report scale for adherence to antiretroviral therapy by comparing it with viral load (VL) abstracted from medical records at baseline, 6, 12, and 18 months. The items had high internal consistency (Cronbach's alpha coefficients at each time point were > 0.8). The adherence scale scores were higher in the group that achieved VL suppression compared to the group that did not. The c-statistic for the receiver-operating characteristic curves pooled across time points was 0.77 for each adherence sub-item and 0.78 for the overall score. The self-report adherence measure shows good internal consistency and validity that correlated with VL suppression in homeless populations.

Real-world use and survival outcomes of immune checkpoint inhibitors in older adults with non-small cell lung cancer.

BACKGROUND: Limited data exist regarding the characteristics and survival outcomes of older adults with non-small cell lung cancer (NSCLC) who receive immune checkpoint inhibitors in routine oncology practice. METHODS: Using the Surveillance, Epidemiology, and End Results-Medicare linked database, we identified 1256 patients aged ≥65 years who were diagnosed with pathologically confirmed stage I to stage IV NSCLC between 2002 and 2015 and initiated nivolumab or pembrolizumab in 2016. We examined patient characteristics and overall survival from the time of immune checkpoint inhibitor initiation through December 31, 2017. RESULTS: The median patient age at the time of immune checkpoint inhibitor initiatiton was 75.3 years (interquartile range, 8.5). A substantial percentage of patients were initially diagnosed with stage IV disease (42.6%) and had ≥2 comorbid conditions (48.7%). Using a claims-based proxy, 11.5% of patients had poor performance status and 12.6% had a history of autoimmune conditions. The median overall survival after initiation of immune checkpoint inhibitor was 9.3 months (95% CI, 8.5-10.5 months). The 1-year survival rate was 43.0% (95% CI, 40.2-45.7%). In multivariable analyses, multiple comorbid conditions, squamous histology, a history of nonplatinum doublet systemic therapy, recent radiotherapy, and a shorter time from initial diagnosis to treatment initiation were found to be statistically significantly associated with an increased hazard of death. Demographics, poor performance status, and prior autoimmune conditions were not significantly associated with the hazard of death. CONCLUSIONS: Many older adults with NSCLC who initiated immune checkpoint inhibitors had multiple comorbidities, a history of autoimmune disease, or poor performance status. Factors associated with poor prognosis among patients with advanced NSCLC were also associated with worse survival in older adults treated with immune checkpoint inhibitors.

Patient and proxy reports regarding the experience of treatment decision-making in cancer care.

OBJECTIVE: Shared decision-making, including the elicitation of patient preferences regarding treatment decisions, is considered part of high-quality cancer care. However, patients may not be able to self-report due to illness, and therefore proxy reports may be used. We sought to determine the difference between proxy and patient reports about patient decisions and preferences among patients who received or were scheduled for chemotherapy using data from a large, population-based survey of patients with incident lung or colorectal cancer. METHODS: Of 3573 patients who received or were scheduled for chemotherapy, 3108 self-reported and 465 had proxies reporting on their behalf about preferred and actual decision roles regarding this treatment. Preferred and actual decision roles were assessed using the Control Preferences Scale, and categorized as shared, patient-controlled, or doctor-controlled. Multivariable logistic regression models were used to assess the association between patient and proxy responses and whether preferences were met. The models adjusted for sociodemographic and clinical variables and patient/proxy-reported health status. RESULTS: Sixty-three percent of all respondents reported actual roles in decisions that matched their preferred roles (role attainment). Proxies and patients were similarly likely to report role attainment (65% vs 63%). In adjusted analyses, proxies were more likely report role attainment (OR = 1.27, 95%CI = 1.02-1.59), but this difference was smaller if health variables were excluded from the model (OR = 1.14, 95%CI = 0.92-1.41). CONCLUSION: Most patients' preferences for treatment participation were met. Surveys from proxies appear to yield small differences on the reports of attainment of preferred treatment decision-making roles in cancer care vs surveys from patients.

Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare.

Human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) protects high risk patients from becoming infected with HIV. Clinicians need help to identify candidates for PrEP based on information routinely collected in electronic health records (EHRs). The greatest statistical challenge in developing a risk prediction model is that acquisition is extremely rare. METHODS: Data consisted of 180 covariates (demographic, diagnoses, treatments, prescriptions) extracted from records on 399 385 patient (150 cases) seen at Atrius Health (2007-2015), a clinical network in Massachusetts. Super learner is an ensemble machine learning algorithm that uses k-fold cross validation to evaluate and combine predictions from a collection of algorithms. We trained 42 variants of sophisticated algorithms, using different sampling schemes that more evenly balanced the ratio of cases to controls. We compared super learner's cross validated area under the receiver operating curve (cv-AUC) with that of each individual algorithm. RESULTS: The least absolute shrinkage and selection operator (lasso) using a 1:20 class ratio outperformed the super learner (cv-AUC = 0.86 vs 0.84). A traditional logistic regression model restricted to 23 clinician-selected main terms was slightly inferior (cv-AUC = 0.81). CONCLUSION: Machine learning was successful at developing a model to predict 1-year risk of acquiring HIV based on a physician-curated set of predictors extracted from EHRs.

The Impact of Rhode Island's Multipayer Patient-centered Medical Home Program on Utilization and Cost of Care.

OBJECTIVE: To estimate the effect of patient-centered medical home (PCMH) participation on cost and utilization of care for patients in Rhode Island's statewide, multipayer PCMH program, which serves over one-third of the state population. DATA SOURCES/STUDY SETTING: 2009-2014 claims data from all payers in Rhode Island, representing >743,000 unique patients. STUDY DESIGN: A propensity score-matched difference-in-differences framework was used to separately estimate the effect of the PCMH on 3 patient cohorts, which were defined by their intervention start dates and amounts of implementation time. Outcomes included patient costs (total, inpatient, outpatient, professional, pharmacy) and utilization [emergency department (ED) visits, preventable ED visits, inpatient admissions, preventable inpatient admissions, all-cause 30-day readmissions]. Interaction effects were estimated to assess heterogeneity among clinical risk groups and payers. PRINCIPAL FINDINGS: There was no evidence of a PCMH effect on total costs, though we observed evidence of an increase in the odds of PCMH patients having outpatient and professional costs, and in one cohort, a decrease in inpatient costs for those with an inpatient visit. We also observed evidence of reduced ED visits, preventable ED visits, and inpatient admissions for PCMH patients. While subgroup effects varied by cohort and measure, high-risk patients often experienced the largest reductions in ED visits. CONCLUSIONS: All PCMH cohorts experienced statistically significant reductions in some types of utilization in as little as 1.25 years. Reductions were greatest for measures included in the PCMH contractual agreement. While PCMH programs may not expect cost savings in the short-term, costs could potentially be reduced in the longer-term through avoided ED and inpatient expenses.

Risk Factors for Early Disenrollment From Colorado's Affordable Care Act Marketplace.

BACKGROUND: Midyear disenrollment from Marketplace coverage may have detrimental effects on continuity of care and risk pool stability of individual health insurance markets. OBJECTIVE: The main objective of this study was to assess associations between insurance plan characteristics, individual and area-level demographics, and disenrollment from Marketplace coverage. DATA: All payer claims data from individual market enrollees, 2014-2016. STUDY DESIGN: We estimated Cox proportional hazards models to assess the relationship between plan actuarial value and Marketplace enrollment. The primary outcome was disenrollment from Marketplace coverage before the end of the year. We also calculated the proportion of enrollees who transitioned to other coverage after leaving the Marketplace, and identified demographic and area-level factors associated with early disenrollment. Finally, we compared monthly utilization rates between those who disenrolled early and those who maintained coverage. RESULTS: Nearly 1 in 4 Marketplace beneficiaries disenrolled midyear. The hazard rate of disenrollment was 30% lower for individuals in plans receiving cost-sharing reductions and 21% lower for those enrolled in gold plans, compared with silver plans without cost-sharing subsidies. Young adults had a 70% increased hazard of disenrollment compared with older adults. Those who disenrolled midyear had greater hospital and emergency department utilization before disenrollment compared with those who maintained continuous coverage. CONCLUSIONS: Plan generosity is significantly associated with lower disenrollment rates from Marketplace coverage. Reducing churning in Affordable Care Act Marketplaces may improve continuity of care and insurers' ability to accurately forecast the health care costs of their enrollees.

The Role of Gender in Patient-Provider Relationships: A Qualitative Analysis of HIV Care Providers in Western Kenya with Implications for Retention in Care.

The disproportionate burden of HIV among women in sub-Saharan Africa reflects underlying gender inequities, which also impact patient-provider relationships, a key component to retention in HIV care. This study explored how gender shaped the patient-provider relationship and consequently, retention in HIV care in western Kenya. We recruited and consented 60 HIV care providers from three facilities in western Kenya affiliated with the Academic Model Providing Access to Healthcare (AMPATH). Trained research assistants conducted and audio recorded 1-h interviews in English or Swahili. Data were transcribed and analyzed in NVivo using inductive thematic analysis. Gender constructs, as culturally defined, emerged as an important barrier negatively impacting the patient-provider relationship through three main domains: (1) challenges establishing clear roles and sharing power due to conflicting gender versus patient/provider identities, (2) provider frustration over suboptimal patient adherence resulting from gender-influenced contextual barriers, and (3) negative provider perceptions shaped by differing male and female approaches to communication. Programmatic components addressing gender inequities in the health care setting are urgently needed to effectively leverage the patient-provider relationship and fully promote long-term adherence and retention in HIV care.

ESPACOMP Medication Adherence Reporting Guideline (EMERGE).

Research on assessing or managing medication adherence applies approaches from observational, interventional, and implementation science that spans many disciplines and demands coherent conceptualization, valid methods, appropriate analyses, and complete and accurate reporting. To ensure such reporting, the European Society for Patient Adherence, COMpliance, and Persistence (ESPACOMP) Medication Adherence Reporting Guideline (EMERGE) recommends standard reporting approaches based on an accepted taxonomy. This guideline is derived from a literature review, a reactive Delphi study with 26 medication adherence experts from many countries and disciplines, and feedback from ESPACOMP members. It is designed to supplement existing guidelines for health research reporting and is structured around 4 minimum reporting criteria and 17 items reflecting best reporting practice. By enhancing and harmonizing research reporting, EMERGE aims to advance research and, ultimately, patient outcomes.

HIV Viral Suppression Trends Over Time Among HIV-Infected Patients Receiving Care in the United States, 1997 to 2015: A Cohort Study.

Background: Because HIV viral suppression is essential for optimal outcomes and prevention efforts, understanding trends and predictors is imperative to inform public health policy. Objective: To evaluate viral suppression trends in people living with HIV (PLWH), including the relationship of associated factors, such as demographic characteristics and integrase strand transfer inhibitor (ISTI) use. Design: Longitudinal observational cohort study. Setting: 8 HIV clinics across the United States. Participants: PLWH receiving clinical care. Measurements: To understand trends in viral suppression (≤400 copies/mL), annual viral suppression rates from 1997 to 2015 were determined. Analyses were repeated with tests limited to 1 random test per person per year and using inverse probability of censoring weights to address loss to follow-up. Joint longitudinal and survival models and linear mixed models of PLWH receiving antiretroviral therapy (ART) were used to examine associations between viral suppression or continuous viral load (VL) levels and demographic factors, substance use, adherence, and ISTI use. Results: Viral suppression increased from 32% in 1997 to 86% in 2015 on the basis of all tests among 31 930 PLWH. In adjusted analyses, being older (odds ratio [OR], 0.76 per decade [95% CI, 0.74 to 0.78]) and using an ISTI-based regimen (OR, 0.54 [CI, 0.51 to 0.57]) were associated with lower odds of having a detectable VL, and black race was associated with higher odds (OR, 1.68 [CI, 1.57 to 1.80]) (P < 0.001 for each). Similar patterns were seen with continuous VL levels; when analyses were limited to 2010 to 2015; and with adjustment for adherence, substance use, or depression. Limitation: Results are limited to PLWH receiving clinical care. Conclusion: HIV viral suppression rates have improved dramatically across the United States, which is likely partially attributable to improved ART, including ISTI-based regimens. However, disparities among younger and black PLWH merit attention. Primary Funding Source: National Institutes of Health.

Longitudinal Analysis of Racial/Ethnic Trends in Quality Outcomes in Community Health Centers, 2009-2014.

BACKGROUND: To monitor progress towards eliminating health disparities, community health centers have reported on hypertension control, diabetes control, and birthweight by race and ethnicity since 2008. OBJECTIVE: To evaluate racial/ethnic time trends in quality outcomes in health centers and to assess both within- and between-center disparities in outcomes. DESIGN AND SAMPLE: Using 2009-2014 data from all US health centers (n = 1047 centers, serving 19.6 million patients/year), we evaluated racial/ethnic time trends in quality outcomes for health centers and assessed within- and between-center disparities. MAIN MEASURES: Percentage of patients achieving control of blood pressure < 140/90 mmHg among hypertensive persons, control of glycosylated hemoglobin ≤ 9.0% among diabetic persons, and birthweight ≥ 2500 g. All outcomes were reported by race/ethnicity. KEY RESULTS: There was no evidence of improved outcomes among racial/ethnic subgroups from 2009 to 2014, though electronic health record adoption, medical recognition, and insurance coverage rates increased substantially. Two exceptions were increased rates of normal birthweight for black patients (87.0% to 88.8%, or 0.3 percentage points/year, p = 0.02) and decreased rates of diabetes control for white patients (74.2% to 69.5%, or -1.0 percentage points/year, p < 0.01). Within centers, the largest racial/ethnic disparities in 2009 were white/black disparities in hypertension control (8.7 percentage points, 95% CI 7.4-10.1), white/black disparities in diabetes control (3.4 percentage points, 95% CI 2.0-4.7), and white/Hispanic disparities in diabetes control (4.4 percentage points, 95% CI 2.8-6.0). All disparities remained statistically unchanged from 2009 to 2014. White patients were more likely to be seen at a health center in the top performance quintile compared with black and Hispanic patients (p < 0.001). CONCLUSIONS: Though quality outcomes in health centers continued to compare favorably to other care settings, we found no evidence of improved quality or reduced disparities in diabetes control, hypertension control, or birthweight from 2009 to 2014. Within- and between-center racial/ethnic disparities in quality were evident, and both should be targeted in future interventions.

Effects of Minimal Versus Intensive Intervention to Enhance Motivational Interviewing in HIV Care.

We conducted a randomized trial comparing the effect of two different levels of motivational interviewing training on clinician communication behaviors and patient experiences. We enrolled 12 HIV clinicians who attended a one-day MI workshop focusing on behavior change counseling skills. We then randomized clinicians to receive (or not) 3-5 rounds of personalized feedback from the MI trainer. We compared outcomes before and after the interventions and between the intervention groups. We tested time-by-study arm interactions to determine if one group improved more than the other. For all analyses, we used generalized estimating equations to account for clustering of patients within clinicians, with Gaussian or negative binomial distributions as appropriate. Patients of clinicians in both intervention groups rated their visits as more MI consistent (6.86 vs. 6.65, p = 0.005) and audio-recording analysis revealed that visits were more patient-centered (1.34 vs. 0.96, p = 0.003) with a more positive patient affect (22.36 vs. 20.84, p < 0.001) after versus before the intervention, without differences between intervention arms. Several specific clinician behaviors such as empathic statements, asking patient opinions and open-ended questions improved more in the workshop+feedback versus the workshop-only intervention arm. A few specific communication behaviors increased (total and complex reflections) after versus before the intervention, without differences between intervention arms. The workshop alone was as effective as the workshop plus feedback in improving patient experiences and overall communication measures. Certain communication behaviors improved more with the more intensive intervention, but these additional benefits may not warrant the extra financial and logistical resources required.