Higher Acuity Resource Utilization With Older Age and Poorer HIV Control in Adolescents and Young Adults in the HIV Research Network.

BACKGROUND: Adolescents and young adults (AYA) with HIV experience poorer health outcomes compared with adults. To improve care for AYA with HIV, information about patterns of costly health care resource utilization is needed. METHODS: Among 13-30 year olds in the US HIV Research Network, we stratified outpatient visits, emergency department (ED) visits, and inpatient days/person-year (PY) by HIV acquisition model [perinatal (PHIVY) and nonperinatal (NPHIVY)], age (13-17, 18-23, and 24-30 years), CD4 strata (<200, 200-499, and ≥500 cells/µL), and viral load (VL) suppression (<, ≥400 copies/mL [c/mL]) combined with antiretroviral (ARV) use. RESULTS: Among 4540 AYA (PHIVY: 15%; NPHIVY: 85%), mean follow-up was 2.8 years. Among PHIVY, most person-time (PT) was spent between ages 13 and 23 years (13-17 years: 43%; 18-23 years: 45%), CD4 ≥500/µL (61%), and VL <400 c/mL (69%). Among NPHIVY, most PT was spent between ages 24 and 30 years (56%), with CD4 ≥500/µL (54%), and with VL <400 c/mL (67%). PT spent while prescribed ARVs and with VL ≥400 c/mL was 29% (PHIVY) and 24% (NPHIVY). For PHIVY and NPHIVY, outpatient visit rates were higher at younger ages (13-17 years and 18-23 years), lower CD4 (<200 and 200-499/µL), and among those prescribed ARVs. Rates of ED visits and inpatient days were higher during PT spent at older ages (18-23 years and 24-30 years), lower CD4 (<200 and 200-499/µL), and VL ≥400 c/mL. Utilization was higher among PHIVY than NPHIVY (outpatient: 12.1 vs. 6.0/PY; ED: 0.4 vs. 0.3/PY; inpatient: 1.5 vs. 0.8/PY). CONCLUSIONS: More ED visits and inpatient days were observed during time spent at older ages, lower CD4 count, and VL ≥400 c/mL. Interventions to improve virologic suppression and immune response may improve outcomes, and thus decrease costly resource utilization, for AYA with HIV.

CKD quality improvement intervention with PCMH integration: health plan results.

OBJECTIVES: To execute a chronic kidney disease (CKD) intervention to assess feasibility and preliminary outcomes for a health plan. STUDY DESIGN: This CKD quality improvement study was incorporated into an existing CareFirst primary care patient-centered medical home cohort with a pre- and postintervention assessment from July 1, 2015, to June 30, 2017. METHODS: The study targeted the population at risk for CKD with diabetes and/or hypertension by implementing a care plan according to the stratification by estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio (uACR) or CKD heat map class. RESULTS: The population included 7420 individuals (51.8% female) with a mean age of 55.9 years; 19.1% had diabetes only, 42.2% had hypertension only, and 38.2% had both conditions. Overall, there was no change in eGFR testing among risk groups (84.8%), but a small significant increase in uACR testing occurred (from 31.3% to 33.0%; P = .0020). Reductions in admissions per 1000 patients were from 362.5 to 249.0 for class 3, 311.7 to 219.2 for class 4, and 590.9 to 323.5 for class 5. Lastly, there were reductions in 30-day readmissions per 1000 patients, from 51.9 to 13.7 for class 4 and 45.5 to 0 for class 5. Although there were increases in many of the per-member per-month costs assessed pre- versus post intervention, net savings in medical costs were $276.80 and $480.79 for CKD classes 3 and 5, respectively. CONCLUSIONS: This scalable CKD intervention demonstrated feasibility. For advanced CKD, decreased hospitalization and a reduction in several important costs were observed. These preliminary results support the stratification of laboratory data for CKD population health innovation in commercial health plans.

Assessing Antiretroviral Use During Gaps in HIV Primary Care Using Multisite Medicaid Claims and Clinical Data.

BACKGROUND: Some individuals who appear poorly retained by clinic visit-based retention measures are using antiretroviral therapy (ART) and maintaining viral suppression. We examined whether individuals with a gap in HIV primary care (≥180 days between HIV outpatient clinic visits) obtained ART during that gap after 180 days. SETTING: HIV Research Network data from 5 sites and Medicaid Analytic Extract eligibility and pharmacy data were combined. METHODS: Factors associated with having both an HIV primary care gap and a new (ie, nonrefill) ART prescription during a gap were evaluated with multinomial logistic regression. RESULTS: Of 6892 HIV Research Network patients, 6196 (90%) were linked to Medicaid data, and 4275 had any Medicaid ART prescription. Over half (54%) had occasional gaps in HIV primary care. Women, older people, and those with suppressed viral load were less likely to have a gap. Among those with occasional gaps (n = 2282), 51% received a new ART prescription in a gap. Viral load suppression before gap was associated with receiving a new ART prescription in a gap (odds ratio = 1.91, 95% confidence interval: 1.57 to 2.32), as was number of days in a gap (odds ratio = 1.04, 95% confidence interval: 1.02 to 1.05), and the proportion of months in the gap enrolled in Medicaid. CONCLUSIONS: Medicaid-insured individuals commonly receive ART during gaps in HIV primary care, but almost half do not. Retention measures based on visit frequency data that do not incorporate receipt of ART and/or viral suppression may misclassify individuals who remain suppressed on ART as not retained.

Expenditures for Persons Living With HIV Enrolled in Medicaid, 2006-2010.

BACKGROUND: Costs of care for persons living with HIV have been high historically. Cost estimates based on data from 1 health care site may underestimate total expenditures; using insurance claims avoids this limitation. We used Medicaid claims data to comprehensively assess payments for care for persons living with HIV between 2006 and 2010. METHODS: Five sites from the HIV Research Network (HIVRN) provided information on patients with Medicaid coverage. Medicaid data were obtained from the sites' states (MD, NY, and MA) and 3 surrounding states and matched to HIVRN medical record-based data. Individuals less than 18, those with Medicare, and those in Medicaid managed care plans were excluded. Medicaid and HIVRN data were compared to ascertain concordance in capturing any inpatient event and any antiretroviral (ART) medication use. RESULTS: Of 6892 unique HIVRN identifiers, 6196 (90%) were linked to Medicaid data. The analytic sample included 11,341 person-years of Medicaid claims data from 3695 individuals in fee-for-service (FFS) programs. The mean annual FFS payment for all services was $47,434; mean annual FFS payment for only medical services was $38,311. Concordance between Medicaid and HIVRN data was excellent for ART use, but HIVRN data did not record a substantial proportion of years in which Medicaid recorded inpatient use. CONCLUSIONS: Estimated Medicaid payment amounts in this study are higher than some previous estimates. More complete capture of expensive inpatient hospitalizations in Medicaid data may partially explain this finding. Although inpatient care and ART medications contribute the most, expenditures for nonmedical services are substantial.

Aging and loss to follow-up among youth living with human immunodeficiency virus in the HIV Research Network.

PURPOSE: In the United States, 21 years is a critical age of legal and social transition, with changes in social programs such as public insurance coverage. Human immunodeficiency virus (HIV)-infected youth have lower adherence to care and medications and may be at risk of loss to follow-up (LTFU) at this benchmark age. We evaluated LTFU after the 22nd birthday for HIV-infected youth engaged in care. LTFU was defined as having no primary HIV visits in the year after the 22nd birthday. METHODS: All HIV-infected 21-year-olds engaged in care (2002-2011) at the HIV Research Network clinics were included. We assessed the proportion LTFU and used multivariable logistic regression to evaluate demographic and clinical characteristics associated with LTFU after the 22nd birthday. We compared LTFU at other age transitions during the adolescent/young adult years. RESULTS: Six hundred forty-seven 21-year-olds were engaged in care; 91 (19.8%) were LTFU in the year after turning 22 years. Receiving care at an adult versus pediatric HIV clinic (adjusted odds ratio [AOR], 2.91; 95% confidence interval [CI], 1.42-5.93), having fewer than four primary HIV visits/year (AOR, 2.72; 95% CI, 1.67-4.42), and antiretroviral therapy prescription (AOR, .50; 95% CI, .41-.60) were independently associated with LTFU. LTFU was prevalent at each age transition, with factors associated with LTFU similar to that identified for 21-year-olds. CONCLUSIONS: Although 19.8% of 21-year-olds at the HIV Research Network sites were LTFU after their 22nd birthday, significant proportions of youth of all ages were LTFU. Fewer than four primary HIV care visits/year, receiving care at adult clinics and not prescribed antiretroviral therapy, were associated with LTFU and may inform targeted interventions to reduce LTFU for these vulnerable patients.

The lifetime medical cost savings from preventing HIV in the United States.

OBJECTIVE: Enhanced HIV prevention interventions, such as preexposure prophylaxis for high-risk individuals, require substantial investments. We sought to estimate the medical cost saved by averting 1 HIV infection in the United States. METHODS: We estimated lifetime medical costs in persons with and without HIV to determine the cost saved by preventing 1 HIV infection. We used a computer simulation model of HIV disease and treatment (CEPAC) to project CD4 cell count, antiretroviral treatment status, and mortality after HIV infection. Annual medical cost estimates for HIV-infected persons, adjusted for age, sex, race/ethnicity, and transmission risk group, were from the HIV Research Network (range, $1854-$4545/mo) and for HIV-uninfected persons were from the Medical Expenditure Panel Survey (range, $73-$628/mo). Results are reported as lifetime medical costs from the US health system perspective discounted at 3% (2012 USD). RESULTS: The estimated discounted lifetime cost for persons who become HIV infected at age 35 is $326,500 (60% for antiretroviral medications, 15% for other medications, 25% nondrug costs). For individuals who remain uninfected but at high risk for infection, the discounted lifetime cost estimate is $96,700. The medical cost saved by avoiding 1 HIV infection is $229,800. The cost saved would reach $338,400 if all HIV-infected individuals presented early and remained in care. Cost savings are higher taking into account secondary infections avoided and lower if HIV infections are temporarily delayed rather than permanently avoided. CONCLUSIONS: The economic value of HIV prevention in the United States is substantial given the high cost of HIV disease treatment.

Comparable sustained virologic suppression between community- and academic-based HIV care settings.

PURPOSE: The human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome epidemic in the United States is evolving because of factors such as aging and geographic diffusion. Provider shortages are also driving the restructuring of HIV care delivery away from specialized settings, and family medicine providers may play a larger role in the future. We attempted to compare the effectiveness of HIV treatment delivered at community versus hospital care settings. METHODS: The outcome of interest was sustained virologic suppression defined as 2 consecutive HIV-1 RNA measurements ≤400 copies/mL within 1 year after antiretroviral initiation. We used data from the multistate HIV Research Network cohort to compare sustained virologic suppression outcomes among 15,047 HIV-infected adults followed from 2000 to 2008 at 5 community- and 8 academic hospital-based ambulatory care sites. Community-based sites were mostly staffed by family medicine and general internal medicine physicians with HIV expertise, whereas hospital sites were primarily staffed by infectious disease subspecialists. Multivariate mixed effects logistic regression controlling for potential confounding variables was applied to account for clustering effects of study sites. RESULTS: In an unadjusted analysis the rate of sustained virologic suppression was significantly higher among subjects treated in community-based care settings: 1,646 of 2,314 (71.1%) versus 8,416 of 12,733 (66.1%) (P < .01). In the adjusted multivariate model with potential confounding variables, the rate was higher, although not statistically significant, in the community-based settings (adjusted odds ratio, 1.26; 95% confidence interval, 0.73-2.16). CONCLUSION: Antiretroviral therapy can be delivered effectively through community-based treatment settings. This finding is potentially important for new program development, shifting HIV care into community-based settings as the landscape of accountable care, health reform, and HIV funding and resources evolves.

Patterns of Use and Outcomes in Patients Treated with Etravirine in the HIV Research Network.

This observational analysis examined the clinical outcomes of patients receiving etravirine-(ETR-) based therapy, particularly with protease inhibitors (PIs) other than darunavir (DRV) and with raltegravir (RAL). Data included treatment-experienced adults in the HIV Research Network who began ETR-containing antiretroviral regimens in 2008-2010. The primary objective was to assess 6-month outcomes (durability, i.e., still on an ETR-containing regimen; change in CD4+ cell count and HIV-1 RNA <400 copies/mL). The cohort included 587 patients receiving ETR; 42% of ETR use was in patients not on DRV/ritonavir (r). Patients receiving ETR plus DRV/r had longer durability versus those on ETR plus a PI other than DRV/r at months 6 (91.2% versus 85.5%) and 12 (77.4% versus 65.2%), respectively. Patients on regimens with a PI other than DRV/r were the least likely to be receiving ETR at month 6 (85.5%) versus patients on other ETR-based regimens. Patients on regimens without a PI and without RAL had lower virologic suppression (month 6, 54.2%; month 12, 63.2%) versus patients on other ETR-based regimens. In a clinical care, nontrial setting, ETR was used in regimens without DRV/r. In this population, the 6-month response rates were similar and durable across all regimens, except when ETR was used without RAL and without a PI.