ArticleStatistics in medicine2018
A state transition framework for patient-level modeling of engagement and retention in HIV care using longitudinal cohort data.
Article in Statistics in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Interventions to reengage people living with HIV who are lost to follow-up from HIV treatment programs: A systematic review and meta-analysis.PLoS medicine · 2022Pooled it
- Being HIV positive and staying on antiretroviral therapy in Africa: A qualitative systematic review and theoretical model.PloS one · 2019Pooled it
- The effect of tracer contact on return to care among adult, "lost to follow-up" patients living with HIV in Zambia: an instrumental variable analysis.Journal of the International AIDS Society · 2021Trial
- Progress of HIV care cascade and transition dynamics along the continuum of care among persons living with HIV in Ifakara, Tanzania: a prospective study.BMC infectious diseases · 2026Article
- Dual cross-sectional and longitudinal perspective on the continuum of HIV care to disentangle natural epidemic evolution from real progress, Belgium 2014-2022.HIV medicine · 2025Article
- Transitions through the HIV continuum of care in people enrolling in care with advanced HIV disease in Latin America.IJID regions · 2025Article
- Data science without borders: bridging the divide in data science capacity across African health institutions.Frontiers in public health · 2025Article
- Statistical methods applied for the assessment of the HIV cascade and continuum of care: a systematic scoping review.BMJ open · 2023Article
- The Effect of HIV Treatment Interruption on Subsequent Immunological Response.American journal of epidemiology · 2023Article
- Novel Longitudinal Methods for Assessing Retention in Care: a Synthetic Review.Current HIV/AIDS reports · 2021Review
- Longitudinal Care Cascade Outcomes Among People Eligible for Antiretroviral Therapy Who Are Newly Linking to Care in Zambia: A Multistate Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- Exploring Relative Preferences for HIV Service Features Using Discrete Choice Experiments: a Synthetic Review.Current HIV/AIDS reports · 2020Review
- A semiparametric method for the analysis of outcomes during a gap in HIV care under incomplete outcome ascertainment.Statistical communications in infectious diseases · 2020Article
- Limitations of the UNAIDS 90-90-90 metrics: a simulation-based comparison of cross-sectional and longitudinal metrics for the HIV care continuum.AIDS (London, England) · 2020Article
- Optimizing Interventions Across the HIV Care Continuum: A Case Study Using Process Improvement Analysis.Operations research for health care · 2020Article
- Nonparametric tests for transition probabilities in nonhomogeneous Markov processes.Journal of nonparametric statistics · 2020Article
- Hypertension Control and Retention in Care Among HIV-Infected Patients: The Effects of Co-located HIV and Chronic Noncommunicable Disease Care.Journal of acquired immune deficiency syndromes (1999) · 2019Article
- Health provider training is associated with improved engagement in HIV care among adolescents and young adults in Kenya.AIDS (London, England) · 2019Article
- Beyond binary retention in HIV care: predictors of the dynamic processes of patient engagement, disengagement, and re-entry into care in a US clinical cohort.AIDS (London, England) · 2018Article
- Point of Diagnosis and Patient Retention in HIV Care in Western Kenya.Journal of acquired immune deficiency syndromes (1999) · 2018Article
Corrections and comments
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Authors and funding
7 authors.
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Abstract
The human immunodeficiency virus (HIV) care cascade is a conceptual model used to outline the benchmarks that reflects effectiveness of HIV care in the whole HIV care continuum. The models can be used to identify barriers contributing to poor outcomes along each benchmark in the cascade such as disengagement from care or death. Recently, the HIV care cascade has been widely applied to monitor progress towards HIV prevention and care goals in an attempt to develop strategies to improve health outcomes along the care continuum. Yet, there are challenges in quantifying successes and gaps in HIV care using the cascade models that are partly due to the lack of analytic approaches. The availability of large cohort data presents an opportunity to develop a coherent statistical framework for analysis of the HIV care cascade. Motivated by data from the Academic Model Providing Access to Healthcare, which has provided HIV care to nearly 200,000 individuals in Western Kenya since 2001, we developed a state transition framework that can characterize patient-level movements through the multiple stages of the HIV care cascade. We describe how to transform large observational data into an analyzable format. We then illustrate the state transition framework via multistate modeling to quantify dynamics in retention aspects of care. The proposed modeling approach identifies the transition probabilities of moving through each stage in the care cascade. In addition, this approach allows regression-based estimation to characterize effects of (time-varying) predictors of within and between state transitions such as retention, disengagement, re-entry into care, transfer-out, and mortality. Copyright © 2017 John Wiley & Sons, Ltd.
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