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1.
J Acquir Immune Defic Syndr ; 93(2): 134-142, 2023 06 01.
Article in English | MEDLINE | ID: mdl-36812382

ABSTRACT

BACKGROUND: A collaborative, data-to-care strategy to identify persons with HIV (PWH) newly out-of-care, combined with an active public health intervention, significantly increases the proportion of PWH re-engaged in HIV care. We assessed this strategy's impact on durable viral suppression (DVS). METHODS: A multisite, prospective randomized controlled trial for out-of-care individuals using a data-to-care strategy and comparing public health field services to locate, contact, and facilitate access to care versus the standard of care. DVS was defined as the last viral load, the viral load at least 3 months before, and any viral load between the 2 were all <200 copies/mL during the 18-month postrandomization. Alternative definitions of DVS were also analyzed. RESULTS: Between August 1, 2016-July 31, 2018, 1893 participants were randomized from Connecticut (n = 654), Massachusetts (n = 630), and Philadelphia (n = 609). Rates of achieving DVS were similar in the intervention and standard-of-care arms in all jurisdictions (all sites: 43.4% vs 42.4%, P = 0.67; Connecticut: 46.7% vs 45.0%, P = 0.67; Massachusetts: 40.7 vs 44.4%, P = 0.35; Philadelphia: 42.4% vs 37.3%, P = 0.20). There was no association between DVS and the intervention (RR: 1.01, CI: 0.91-1.12; P = 0.85) adjusting for site, age categories, race/ethnicity, birth sex, CD4 categories, and exposure categories. CONCLUSION: A collaborative, data-to-care strategy, and active public health intervention did not increase the proportion of PWH achieving DVS, suggesting additional support to promote retention in care and antiretroviral adherence may be needed. Initial linkage and engagement services, through data-to-care or other means, are likely necessary but insufficient for achieving DVS for all PWH.


Subject(s)
HIV Infections , Pregnancy , Female , Humans , HIV Infections/drug therapy , Prospective Studies , Anti-Retroviral Agents/therapeutic use , Massachusetts , Parturition , Viral Load
2.
J Int AIDS Soc ; 26(1): e26040, 2023 01.
Article in English | MEDLINE | ID: mdl-36682053

ABSTRACT

INTRODUCTION: Data-to-care programmes utilize surveillance data to identify persons who are out of HIV care, re-engage them in care and improve HIV care outcomes. We assess the costs and cost-effectiveness of re-engagement in an HIV care intervention in the United States. METHODS: The Cooperative Re-engagement Control Trial (CoRECT) employed a data-to-care collaborative model between health departments and HIV care providers, August 2016-July 2018. The health departments in Connecticut (CT), Massachusetts (MA) and Philadelphia (PHL) collaborated with HIV clinics to identify newly out-of-care patients and randomize them to receive usual linkage and engagement in care services (standard-of-care control arm) or health department-initiated active re-engagement services (intervention arm). We used a microcosting approach to identify the activities and resources involved in the CoRECT intervention, separate from the standard-of-care, and quantified the costs. The cost data were collected at the start-up and recurrent phases of the trial to incorporate potential variation in the intervention costs. The costs were estimated from the healthcare provider perspective. RESULTS: The CoRECT trial in CT, MA and PHL randomly assigned on average 327, 316 and 305 participants per year either to the intervention arm (n = 166, 159 and 155) or the standard-of-care arm (n = 161, 157 and 150), respectively. Of those randomized, the number of participants re-engaged in care within 90 days in the intervention and standard-of-care arms was 85 and 70 in CT, 84 and 70 in MA, and 98 and 67 in PHL. The additional number of participants re-engaged in care in the intervention arm compared with those in the standard-of-care arm was 15 (CT), 14 (MA) and 31 (PHL). We estimated the annual total cost of the CoRECT intervention at $490,040 in CT, $473,297 in MA and $439,237 in PHL. The average cost per participant enrolled was $2952, $2977 and $2834 and the average cost per participant re-engaged in care was $5765, $5634 and $4482. We estimated an incremental cost per participant re-engaged in care at $32,669 (CT), $33,807 (MA) and $14,169 (PHL). CONCLUSIONS: The costs of the CoRECT intervention that identified newly out-of-care patients and re-engaged them in HIV care are comparable with other similar interventions, suggesting a potential for its cost-effectiveness in the US context.


Subject(s)
HIV Infections , Humans , United States , HIV Infections/drug therapy , Cost-Benefit Analysis , Health Personnel
3.
Lancet Reg Health Am ; 3: 100057, 2021 Nov.
Article in English | MEDLINE | ID: mdl-36777404

ABSTRACT

Background: Persons with HIV (PWH), aware of their HIV infection but not in care account for an estimated 42.6% of HIV transmissions in the United States. Health departments and clinics implemented a collaborative data-to-care strategy to identify persons newly out-of-care with the objective of increasing re-engagement, retention in medical care, and viral load suppression. Methods: A multi-site, prospective randomised trial was conducted to identify newly out-of-care PWH using surveillance and clinic data in Connecticut (CT), Massachusetts (MA) and Philadelphia (PHL). All out-of-care participants were randomised to receive standard of care or an active public health intervention. Re-engagement in care was defined as having a documented CD4 count and/or HIV viral load within 90 days of randomization. Retention was defined as having at least two CD4 count and/or HIV viral load results ≥ 3 months apart within 12 months of randomization, and viral load suppression as having a viral load < 200 copies/ml within 12 months of randomization. Findings: Between August 2016 and July 2018, 1893 out-of-care participants were randomised from CT (N = 654), MA (N = 630), and PHL (N = 609). Participants were male (69.5%), non-Hispanic Black (48.3%) and men who have sex with men (38.8%). Re-engagement within 90 days was significantly higher for the intervention group overall and in all three jurisdictions (All sites: 54.9% vs 42.1%, p < 0.0001; CT: 51.2% vs 41.9%, p = 0.02; MA: 52.7% vs 44.1%, p = 0.03; PHL 61.2% vs 40.3%, p < 0.0001). Retention in care over 12 months improved overall (p = 0.04). Median time to viral suppression was reduced overall (p = 0.0006); CT (p = 0.32), MA (p = 0.02) and PHL (p < 0.0001). Interpretation: This trial showed that a collaborative, data-to-care strategy, and active public health intervention led by health departments significantly increases the proportion of PWH re-engaged in HIV care and may improve retention in care and decrease time to viral suppression.

4.
J Acquir Immune Defic Syndr ; 82 Suppl 1: S57-S61, 2019 09 01.
Article in English | MEDLINE | ID: mdl-31425397

ABSTRACT

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.


Subject(s)
HIV Infections/drug therapy , Health Care Costs , Public Health Administration/economics , HIV Infections/economics , HIV Infections/epidemiology , Humans , United States/epidemiology
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