Evidence map›Paper›PMID 31369296›Full record

ArticleAIDS patient care and STDs2019

Rates and Predictors of HIV-Exposed Infants Lost to Follow-Up During Early Infant Diagnosis Services in Kenya.

Kathy Goggin, Emily A Hurley, Vincent S Staggs, Catherine Wexler, Niaman Nazir, Brad Gautney, Samoel A Khamadi, May Maloba, Raphael Lwembe, Sarah Finocchario-Kessler

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in AIDS patient care and STDs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02072603 (Evaluation of the HITSystem to Improve Early Infant Diagnosis Outcomes in Kenya), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

NCT02072603 nacompletednot on this map

Evaluation of the HITSystem to Improve Early Infant Diagnosis Outcomes in Kenya

TypeinterventionalSponsorSarah Kessler, PhD, MPHRan2014 to 2020Enrolled1,815ConditionsHIVArmsHITSystem, Standard of Care
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Kathy Goggin1Division of Health Services and Outcomes Research, Children's Mercy Kansas City, Kansas City, Missouri.
Emily A Hurley1Division of Health Services and Outcomes Research, Children's Mercy Kansas City, Kansas City, Missouri.
Vincent S Staggs1Division of Health Services and Outcomes Research, Children's Mercy Kansas City, Kansas City, Missouri.
Catherine Wexler5Department of Family Medicine and University of Kansas Medical Center, Kansas City, Missouri.
Niaman Nazir6Department of Preventive Medicine, University of Kansas Medical Center, Kansas City, Missouri.
Brad Gautney7Global Health Innovations, Dallas, Texas.
Samoel A Khamadi8Kenya Medical Research Institute, Nairobi, Kenya.
May Maloba7Global Health Innovations, Dallas, Texas.
Raphael Lwembe8Kenya Medical Research Institute, Nairobi, Kenya.
Sarah Finocchario-Kessler5Department of Family Medicine and University of Kansas Medical Center, Kansas City, Missouri.
Children's Mercy Hospital · USHealth Innovations (United States) · USKenya Medical Research Institute · KEUniversity of Kansas Medical Center · USUniversity of Missouri–Kansas City · US

Funding

Piloting at-birth point of care HIV testing strategies in KenyaR01HD076673 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI KESSLER, SARAH FINOCCHARIO · 2013 to 2017
$3.4M
NICHD NIH HHS R01 HD076673
6 · The paper itself

Abstract

Early infant diagnosis (EID) involves age-specific tracking and testing of HIV-exposed infants during the first 18 months of life and rapid initiation of life-saving treatment for those infected. In Kenya, pre-2013 data estimate EID lost to follow-up (LTFU) at 39-65%, yet no study has documented LTFU rates and predictors throughout the EID cascade since Option B+ fundamentally changed services by placing all HIV-positive expectant mothers on lifelong treatment. Using an explanatory mixed-method design, we assessed LTFU rates and predictors among 870 mother-infant dyads enrolled in EID in six urban/peri-urban Kenyan government hospitals. Mothers completed baseline surveys, and dyads were tracked through EID. We selected 12 baseline variables and modeled odds of LTFU at 9 and 18 months using mixed logistic regression. Qualitative interviews were conducted with 61 mothers to assess barriers and facilitators to completing EID. Thematically coded transcripts were used to interpret quantitative predictors of LTFU. By the 18-month test, 145 dyads (22%) were LTFU, with three-quarters of LTFU occurring between 9- and 18-month tests. Odds of LTFU at 18 months decreased by 10% for each additional year of maternal age and by 66% with HIV status disclosure. Qualitative data revealed how disclosure facilitated essential social support for EID completion and how older mothers attributed maturity and life experience to successful engagement in care. Findings suggest LTFU rates in Kenya have declined, but gaps remain in ensuring universal coverage. Efforts to improve retention should focus on increasing support for younger mothers and those who have not disclosed their HIV status.

Indexed as

Lost to Follow-UpAdultAnti-Retroviral AgentsEarly DiagnosisFemaleHealth Services AccessibilityHIV InfectionsHospitals, UrbanHumansInfantInfant, NewbornInfectious Disease Transmission, VerticalInterviews as TopicKenyaMaleMothersAnti-Retroviral Agentsearly infant diagnosisglobal healthHIVinfantsPMTCTvertical prevention

Identifiers

PMID31369296
PMCPMC6661912
OpenAlexW2966104764

What OpenQuestion holds

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Registered trials

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.