Evidence map›Paper›PMID 40354456›Full record

ArticlePLOS global public health2025

Examining and classifying reasons for missing viral loads among adults living with HIV: An extended outcome investigation and ascertainment approach in Western Kenya.

Harriet Fridah Adhiambo, Jayne Lewis-Kulzer, Edwin Nyagesoa, Sarah Gimbel, Eliud Akama, Dorothy Mangale, Lina Montonya, Ingrid Eshun-Wilson, Sarah Iguna, Everlyne Nyandieka and 5 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Harriet Fridah AdhiamboCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-5323-5474
Jayne Lewis-KulzerDepartment of Obstetrics, Gynecology, and Reproductive Services, University of California, San Francisco, California, United States of America.
Edwin NyagesoaCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
Sarah GimbelDepartment of Child, Family and Population Health Nursing, University of Washington, Seattle, Washington, United States of America.
Eliud AkamaCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
Dorothy MangaleDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri, United States of America.ORCID https://orcid.org/0000-0003-1264-405X
Lina MontonyaDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Ingrid Eshun-WilsonDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Sarah IgunaCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-9019-6032
Everlyne NyandiekaCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
Elizabeth BukusiCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
Lisa AbuogiDepartment of Pediatrics, University of Colorado, Denver, Colorado, United States of America.
Thomas OdenyCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
Maya L PetersenDivisions of Biostatistics and Epidemiology, University of California Berkeley, Berkeley, California, United States of America.
Elvin H GengDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri, United States of America.

Funding

MENTORING MULTIDISCIPLINARY PATIENT-ORIENTED RESEARCH IN ENGAGEMENT IN HIV CAREK24AI134413 · NIAID · WASHINGTON UNIVERSITY · PI Elvin H. Geng · 2017 to 2026
$1.4M
Achieving successful treatment outcomes among adolescents and pregnant/postpartum women living with HIV in KenyaK24AI175015 · NIAID · UNIVERSITY OF COLORADO DENVER · PI Lisa Lynn Abuogi · 2023 to 2026
$762k
NIAID NIH HHS K24 AI134413NIAID NIH HHS K24 AI175015
6 · The paper itself

Abstract

Gaps in HIV RNA monitoring persist globally impeding the ability to determine clinical progress and outcomes. This study systematically evaluated provider (e.g., guideline non-adherence), system (e.g., laboratory error) and participant-level (e.g., refusal) drivers of missed viral load (VL) monitoring measurements among people with HIV in Kenya. Adults aged 18-65 years were followed across five health facilities in Kenya as part of a clinical trial (NCT#02338739) where HIV RNA monitoring was done routinely. Instances of missed VL despite being indicated per Kenyan guidelines were identified. An algorithm for assessing root causes of missing HIV RNA was developed and generalized linear models estimated the risk ratios (RR) for participant-level characteristics associated with missed viral load. Among 1,754 participants (66% female), the prevalence of missed viral load in year one and two was 24.4% and 29.4%, respectively. Drivers for missed viral load measurements included loss to follow up (51.5% in year one and 57.8% in year two), clinician non-adherence with guidelines (36.7% in year one and 32.2% in year two), unknown (10.3% in year one and 8.6% in year two), and requested but not collected (1.5% in year one and 1.3% in year two). Participants aged < 24 years (RR 2.27, 95% CI: 1.66-3.12), those with higher socioeconomic status (RR 1.47, 95% CI: 1.03-1.91), receiving HIV treatment at a rural clinic (RR 1.22, 95% CI: 1.02-1.46) and with advanced HIV disease (RR 2.39, 95% CI: 1.52-3.73) were more likely to miss VL monitoring. Missed routine viral load monitoring remains high, primarily due to loss to follow-up, and may substantially alter suppression estimates. Sustainable approaches to keep people with HIV engaged in care, alongside strengthening providers' clinical practices and alignment with national guidelines, are necessary for optimizing viral monitoring and accurately assessing viral suppression within public health systems.

Identifiers

PMID40354456
PMCPMC12068717

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.