Costs and Cost-Effectiveness of the Patient-Centered HIV Care Model: A Collaboration Between Community-Based Pharmacists and Primary Medical Providers.

BACKGROUND: The patient-centered HIV care model (PCHCM) is an evidence-informed structural intervention that integrates community-based pharmacists with primary medical providers to improve rates of HIV viral suppression. This report assesses the costs and cost-effectiveness of the PCHCM. SETTING: Patient-centered HIV care model. METHODS: Three project sites, each composed of a medical clinic and 1 or 2 community-based HIV-specialized pharmacies, were included in the analyses. PCHCM required patient data sharing between medical providers and pharmacists and collaborative therapy-related decision making. Intervention effectiveness was measured as the incremental number of patients virally suppressed (HIV RNA <200 copies/mL at the last test in a 12-month measurement period). Microcosting direct measurement methods were used to estimate intervention costs. The cost per patient, cost per patient visit, and incremental cost per patient virally suppressed were calculated from the health care providers' perspective. Additionally, the number of HIV transmissions averted, lifetime HIV treatment cost saved, quality-adjusted life years (QALYs) saved, and cost per QALY saved were calculated from the societal perspective, using standard methods and reported values from the published literature. RESULTS: Overall, the PCHCM annual intervention cost for the 3 project sites was $226,741. The average cost per patient, cost per patient visit, and incremental cost per patient virally suppressed were $813, $48, and $5,039, respectively. The intervention averted 2.75 HIV transmissions and saved 12.22 QALYs and nearly $1.28 million in lifetime HIV treatment costs. The intervention was cost saving overall and at each project site. CONCLUSIONS: The PCHCM can be delivered at a relatively low cost and is a cost-saving intervention to assist patients in achieving viral suppression and preventing HIV transmission.

Improvements in Retention in Care and HIV Viral Suppression Among Persons with HIV and Comorbid Mental Health Conditions: Patient-Centered HIV Care Model.

The Patient-centered HIV Care Model (PCHCM) integrated community-based pharmacists with medical providers and required sharing of patient clinical information and collaborative therapy-related action planning. We determined the proportions of participants with HIV and mental health conditions who were retained in care and the proportion virally suppressed, pre- and post-implementation. Overall, we found a relative 13% improvement in both retention [60% to 68% (p = 0.009)] and viral suppression [79% to 90% (p < 0.001)]. Notable improvements were seen among persons triply diagnosed with HIV, mental illness and substance use [+ 36% (50% to 68%, p = 0.036) and + 32% (66% to 86%, p = 0.001) in retention and viral suppression, respectively]. There were no differences in the proportions of persons adherent to psychiatric medications, pre- to post-implementation, nor were there differences in the proportions of persons retained in care or virally suppressed by psychiatric medication adherence, post-implementation. PCHCM demonstrated that collaborations between community-based pharmacists and medical providers can improve HIV care continuum outcomes among persons with mental health conditions.

Adherence and Viral Suppression Among Participants of the Patient-centered Human Immunodeficiency Virus (HIV) Care Model Project: A Collaboration Between Community-based Pharmacists and HIV Clinical Providers.

BACKGROUND: Human immunodeficiency virus (HIV) viral suppression (VS) decreases morbidity, mortality, and transmission risk. METHODS: The Patient-centered HIV Care Model integrated community-based pharmacists with HIV medical providers and required them to share patient clinical information, identify therapy-related problems, and develop therapy-related action plans.Proportions adherent to antiretroviral therapy (proportion of days covered [PDC] ≥90%) and virally suppressed (HIV RNA <200 copies/mL), before and after model implementation, were compared. Factors associated with postimplementation VS were determined using multivariable logistic regression; participant demographics, baseline viral load, and PDC were explanatory variables. PDC was modified to account for time to last viral load in the year postimplementation, and stratified as <50%, 50% to <80%, 80% to <90%, and ≥90%. RESULTS: The 765 enrolled participants were 43% non-Hispanic black, 73% male, with a median age of 48 years; 421 and 649 were included in the adherence and VS analyses, respectively. Overall, proportions adherent to therapy remained unchanged. However, VS improved a relative 15% (75% to 86%, P < .001). Higher PDC (adjusted odds ratio [AOR], 1.74 per 1-level increase in PDC category [95% confidence interval {CI}, 1.30-2.34]) and baseline VS (AOR, 7.69 [95% CI, 3.96-15.7]) were associated with postimplementation VS. Although non-Hispanic black persons (AOR, 0.29 [95% CI, .12-.62]) had lower odds of suppression, VS improved a relative 23% (63% to 78%, P < .001). CONCLUSIONS: Integrated care models between community-based pharmacists and primary medical providers may identify and address HIV therapy-related problems and improve VS among persons with HIV.

Pharmacy Data as an Alternative Data Source for Implementation of a Data to Care Strategy.

BACKGROUND: Data to Care (D2C) is a strategy for using health departments' HIV surveillance data (HIV viral load and CD4 laboratory reports) to identify and re-engage not-in-care persons with HIV. In the current D2C model, there is a delay in the identification of persons not in care due to the time interval between recommended monitoring tests (ie, every 3-6 months) and the subsequent reporting of these tests to the health department. METHODS: Pharmacy claims and fulfillment data can be used to identify persons with HIV who have stopped filling antiretroviral therapy and are at risk of falling out of care. Because most antiretrovirals (ARVs) are prescribed as a 30-day supply of medication, these data can be used to identify persons who are not filling their medications on a monthly basis. The use of pharmacy claims data to identify persons not filling ARV prescriptions is an example of how "big data" can be used to conduct a modified D2C model. RESULTS: Although a D2C strategy using pharmacy data has not been broadly implemented, a few health departments are implementing demonstration projects using this strategy. As the projects progress, processes and outcomes can be evaluated. CONCLUSIONS: Tracking ARV refill data can be a more real-time indicator of poor adherence and can help identify HIV-infected persons at risk of falling out of HIV medical care.

Implementing Data to Care-What Are the Costs for the Health Department?

BACKGROUND: The Cooperative Re-Engagement Controlled Trial (CoRECT) is a randomized controlled trial that uses a combined health department-provider data to care (D2C) model to identify out-of-care HIV-infected persons. We present cost data for programmatic aspects of the trial during the start-up period (first 30 days of the study). METHODS: We used microcosting methods to estimate health department start-up costs. We collected start-up cost data between September 2016 and December 2016; 3 health departments completed a form to capture expenses for the initial 30 days of study implementation; the start date varied by health department. All costs are expressed in 2016 US dollars. RESULTS: Among the 3 health departments, the total start-up costs ranged from $14,145 to $26,058. Total start-up labor hours ranged from 224 to 640 hours. CONCLUSIONS: As D2C expands nationally with cooperative agreement, PS 18-1802 health departments may be able to use a similar analysis to consider the labor, time, and resources needed to implement D2C within their jurisdiction.

Antiretroviral Adherence Level Necessary for HIV Viral Suppression Using Real-World Data.

BACKGROUND: A benchmark of near-perfect adherence (≥95%) to antiretroviral therapy (ART) is often cited as necessary for HIV viral suppression. However, given newer, more effective ART medications, the threshold for viral suppression may be lower. We estimated the minimum ART adherence level necessary to achieve viral suppression. SETTINGS: The Patient-centered HIV Care Model demonstration project. METHODS: Adherence to ART was calculated using the proportion of days covered measure for the 365-day period before each viral load test result, and grouped into 5 categories (<50%, 50% to <80%, 80% to <85%, 85% to <90%, and ≥90%). Binomial regression analyses were conducted to determine factors associated with viral suppression (HIV RNA <200 copies/mL); demographics, proportion of days covered category, and ART regimen type were explanatory variables. Generalized estimating equations with an exchangeable working correlation matrix accounted for correlation within subjects. In addition, probit regression models were used to estimate adherence levels required to achieve viral suppression in 90% of HIV viral load tests. RESULTS: The adjusted odds of viral suppression did not differ between persons with an adherence level of 80% to <85% or 85% to <90% and those with an adherence level of ≥90%. In addition, the overall estimated adherence level necessary to achieve viral suppression in 90% of viral load tests was 82% and varied by regimen type; integrase inhibitor- and nonnucleoside reverse transcriptase inhibitor-based regimens achieved 90% viral suppression with adherence levels of 75% and 78%, respectively. CONCLUSIONS: The ART adherence level necessary to reach HIV viral suppression may be lower than previously thought and may be regimen-dependent.

Retention in HIV Care Among Participants in the Patient-Centered HIV Care Model: A Collaboration Between Community-Based Pharmacists and Primary Medical Providers.

Poor retention in HIV care is associated with higher morbidity and mortality and greater risk of HIV transmission. The Patient-Centered HIV Care Model (PCHCM) integrated community-based pharmacists with medical providers. The model required sharing of patient clinical information and collaborative therapy-related action planning. The proportion of persons retained in care (≥1 medical visit in each 6-month period of a 12-month measurement period with ≥60 days between visits), pre- and post-PCHCM implementation, was modeled using log binomial regression. Factors associated with post-implementation retention were determined using multi-variable regression. Of 765 enrolled persons, the plurality were male (n = 555) and non-Hispanic black (n = 331), with a median age of 48 years (interquartile range = 38-55); 680 and 625 persons were included in the pre- and post-implementation analyses, respectively. Overall, retention improved 12.9% (60.7-68.5%, p = 0.002). The largest improvement was seen among non-Hispanic black persons, 22.6% increase (59.7-73.2%, p < 0.001). Persons who were non-Hispanic black [adjusted risk ratio (ARR) 1.27, 95% confidence interval (CI) 1.08-1.48] received one or more pharmacist-clinic developed action plan (ARR 1.51, 95% CI 1.18-1.93), had three or more pharmacist encounters (ARR 1.17, 95% CI 1.05-1.30), were more likely to be retained post-implementation. In the final multi-variable models, only race/ethnicity [non-Hispanic black (ARR 1.27, 95% CI 1.09-1.48) and "other or unknown" race/ethnicity (ARR 1.36, 95% CI 1.14-1.63)] showed an association with post-implementation retention. PCHCM demonstrated how collaborations between community-based pharmacists and primary medical providers can improve retention in HIV care. This care model may be particularly useful for non-Hispanic black persons who often are less likely to be retained in care.