IDEAS home Printed from https://ideas.repec.org/a/plo/pmed00/1002959.html
   My bibliography  Save this article

Longitudinal engagement trajectories and risk of death among new ART starters in Zambia: A group-based multi-trajectory analysis

Author

Listed:
  • Aaloke Mody
  • Ingrid Eshun-Wilson
  • Kombatende Sikombe
  • Sheree R Schwartz
  • Laura K Beres
  • Sandra Simbeza
  • Njekwa Mukamba
  • Paul Somwe
  • Carolyn Bolton-Moore
  • Nancy Padian
  • Charles B Holmes
  • Izukanji Sikazwe
  • Elvin H Geng

Abstract

Background: Retention in HIV treatment must be improved to advance the HIV response, but research to characterize gaps in retention has focused on estimates from single time points and population-level averages. These approaches do not assess the engagement patterns of individual patients over time and fail to account for both their dynamic nature and the heterogeneity between patients. We apply group-based trajectory analysis—a special application of latent class analysis to longitudinal data—among new antiretroviral therapy (ART) starters in Zambia to identify groups defined by engagement patterns over time and to assess their association with mortality. Methods and findings: We analyzed a cohort of HIV-infected adults who newly started ART between August 1, 2013, and February 1, 2015, across 64 clinics in Zambia. We performed group-based multi-trajectory analysis to identify subgroups with distinct trajectories in medication possession ratio (MPR, a validated adherence metric based on pharmacy refill data) over the past 3 months and loss to follow-up (LTFU, >90 days late for last visit) among patients with at least 180 days of observation time. We used multinomial logistic regression to identify baseline factors associated with belonging to particular trajectory groups. We obtained Kaplan–Meier estimates with bootstrapped confidence intervals of the cumulative incidence of mortality stratified by trajectory group and performed adjusted Poisson regression to estimate adjusted incidence rate ratios (aIRRs) for mortality by trajectory group. Inverse probability weights were applied to all analyses to account for updated outcomes ascertained from tracing a random subset of patients lost to follow-up as of July 31, 2015. Overall, 38,879 patients (63.3% female, median age 35 years [IQR 29–41], median enrollment CD4 count 280 cells/μl [IQR 146–431]) were included in our cohort. Analyses revealed 6 trajectory groups among the new ART starters: (1) 28.5% of patients demonstrated consistently high adherence and retention; (2) 22.2% showed early nonadherence but consistent retention; (3) 21.6% showed gradually decreasing adherence and retention; (4) 8.6% showed early LTFU with later reengagement; (5) 8.7% had early LTFU without reengagement; and (6) 10.4% had late LTFU without reengagement. Identified groups exhibited large differences in survival: after adjustment, the “early LTFU with reengagement” group (aIRR 3.4 [95% CI 1.2–9.7], p = 0.019), the “early LTFU” group (aIRR 6.4 [95% CI 2.5–16.3], p

Suggested Citation

  • Aaloke Mody & Ingrid Eshun-Wilson & Kombatende Sikombe & Sheree R Schwartz & Laura K Beres & Sandra Simbeza & Njekwa Mukamba & Paul Somwe & Carolyn Bolton-Moore & Nancy Padian & Charles B Holmes & Izu, 2019. "Longitudinal engagement trajectories and risk of death among new ART starters in Zambia: A group-based multi-trajectory analysis," PLOS Medicine, Public Library of Science, vol. 16(10), pages 1-25, October.
  • Handle: RePEc:plo:pmed00:1002959
    DOI: 10.1371/journal.pmed.1002959
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002959
    Download Restriction: no

    File URL: https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1002959&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pmed.1002959?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ali Mirzazadeh & Ingrid Eshun-Wilson & Ryan R Thompson & Atousa Bonyani & James G Kahn & Stefan D Baral & Sheree Schwartz & George Rutherford & Elvin H Geng, 2022. "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, Public Library of Science, vol. 19(3), pages 1-26, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pmed00:1002959. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosmedicine (email available below). General contact details of provider: https://journals.plos.org/plosmedicine/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.