Trial reportSexually transmitted diseases2018
A Cluster Randomized Evaluation of a Health Department Data to Care Intervention Designed to Increase Engagement in HIV Care and Antiretroviral Use.
Trial report in Sexually transmitted diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing the Effectiveness of Data-to-Care Strategies for Improving HIV Care Outcomes: A Systematic Review.AIDS and behavior · 2025Pooled it
- Next-Day HIV Viral Load Test Result and Linkage to Care Among Persons Living With or at Risk of HIV: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Brief Report: The Trials of Insurance-Based Data to Care-Rx: Low Enrollment in the Antiretroviral Improvement Among Medicaid EnrolleeS (AIMS) Study.Journal of acquired immune deficiency syndromes (1999) · 2026Article
- Pharmacy-Based Data to Care: Evaluation of a Public Health Initiative to Support HIV Medication Reinitiation.Sexually transmitted diseases · 2025Article
- Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint.Biometrics · 2025Article
- POP-UP Mobile: A Mixed Methods Study of Mobile Outreach for People with HIV with Housing Instability Who Are Out of Care from a Low-Barrier Clinical Program in San Francisco.AIDS patient care and STDs · 2025Article
- Factors influencing patients on antiretroviral therapy loss to follow up: A qualitative analysis of healthcare workers perspective.PloS one · 2024Article
- The CARES Program: Improving Viral Suppression and Retention in Care Through a Comprehensive Team-Based Approach to Care for People with HIV and Complex Psychosocial Needs.AIDS patient care and STDs · 2023Article
- Article
- Costs and cost-effectiveness of a collaborative data-to-care intervention for HIV treatment and care in the United States.Journal of the International AIDS Society · 2023Article
- HIV Treatment Outcomes in POP-UP: Drop-in HIV Primary Care Model for People Experiencing Homelessness.The Journal of infectious diseases · 2022Article
- Ryan White programming that primarily supports clinical care falls short when core people needs are not met: further evidence from the medical monitoring project.AIDS (London, England) · 2022Article
- The Cooperative Re-Engagement Controlled trial (CoRECT): A randomised trial to assess a collaborative data to care model to improve HIV care continuum outcomes.Lancet regional health. Americas · 2021Article
- The HIV Treat Pillar: An Update and Summary of Promising Approaches.American journal of preventive medicine · 2021Article
- Strategies to reengage patients lost to follow up in HIV care in high income countries, a scoping review.BMC public health · 2021Article
- Approaches to Promoting Linkage to and Retention in HIV Care in the United States: a Scoping Review.Current HIV/AIDS reports · 2021Article
- "Is a Bird in the Hand Worth 5 in the Bush?": A Comparison of 3 Data-to-Care Referral Strategies on HIV Care Continuum Outcomes in San Francisco.Open forum infectious diseases · 2020Article
- Expert stakeholders' perspectives on a Data-to-Care strategy for improving care among HIV-positive individuals incarcerated in jails.AIDS care · 2020Article
- "It's Me as a Person, Not Me the Disease": Patient Perceptions of an HIV Care Model Designed to Engage Persons with Complex Needs.AIDS patient care and STDs · 2020Article
- Public Health Practice-Driven Research to Improve HIV Prevention in the United States.Journal of acquired immune deficiency syndromes (1999) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundMany US health departments have implemented Data to Care interventions, which use HIV surveillance data to identify persons who are inadequately engaged in HIV medical care and assist them with care reengagement, but the effectiveness of this strategy is uncertain.
methodsWe conducted a stepped-wedge, cluster-randomized evaluation of a Data to Care intervention in King County, Washington, 2011 to 2014. Persons diagnosed as having HIV for at least 6 months were eligible based on 1 of 2 criteria: (1) viral load (VL) greater than 500 copies/mL and CD4 less than 350 cells/μL at the last report in the past 12 months or (2) no CD4 or VL reported to the health department for at least 12 months. The intervention included medical provider contact, patient contact, and a structured individual interview. Health department staff assisted patients with reengagement using health systems navigation, brief counseling, and referral to support services. We clustered all eligible cases in the county by the last known medical provider and randomized the order of clusters for intervention, creating contemporaneous intervention and control periods (cases in later clusters contributed person-time to the control period at the same time that cases in earlier clusters contributed person-time to the intervention period). We compared the time to viral suppression (VL <200 copies/mL) for individuals during intervention and control periods using a Cox proportional hazards model.
resultsWe identified 997 persons (intention to treat [ITT]), 18% of whom had moved or died. Of the remaining 822 (modified ITT), 161 (20%) had an undetectable VL reported before contact and 164 (20%) completed the individual interview. The hazard ratio (HR) for time to viral suppression did not differ between the intervention and control periods in ITT (HR, 1.21 [95% confidence interval, 0.85-1.71]) or modified ITT (HR, 1.18 [95% confidence interval, 0.83-1.68]) analysis.
conclusionsThe Data to Care intervention did not impact time to viral suppression.
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