Evidence map›Paper›PMID 41084983›Full record

ArticleGlobal health action2025

Development of a structured tracking system to improve retention in a birth cohort in rural Ecuador.

Stephanie Montenegro, Alexis J Handal, Fadya Orozco

Abstract read
In one paragraph

Article in Global health action, 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

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.

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

3 authors.

Stephanie MontenegroCentro de Transferencias y Desarrollo de Tecnologías CTT-USFQ, Universidad San Francisco de Quito USFQ, Quito, Ecuador.ORCID 0000-0002-3037-4156
Alexis J HandalDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0001-8890-5813
Fadya OrozcoCentro de Transferencias y Desarrollo de Tecnologías CTT-USFQ, Universidad San Francisco de Quito USFQ, Quito, Ecuador.ORCID 0000-0002-5743-6898

Funding

Res Div Suppl (Lisbeth Iglesias-Rios): Maternal ethylenethiourea levels, newborn thyroid function & infant developmentR01ES026603 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI HANDAL, ALEXIS · 2017 to 2021
$2.9M
NIEHS NIH HHS R01 ES026603
6 · The paper itself

Abstract

Retention in birth cohort studies varies globally, with rates of over 80% in high-income countries and 30%-75% in low- and middle-income settings due to socioeconomic vulnerability, geographic dispersion, and infrastructural barriers. Despite the importance of participant retention, evidence on structured tracking systems contextualized to these settings remains limited. This paper describes the design, adaptations, and outcomes of a participant tracking system developed for the Study of Environmental Exposure of Mothers and Infants Impacted by Large-Scale Agriculture, a community-based birth cohort that enrolled 409 pregnant participants in a floriculture-intensive rural area of Ecuador. In this setting, retention was challenged by informal employment, variable phone access, and high mobility. The tracking system was implemented from pregnancy through 18  months postpartum, including two final follow-up waves conducted at 12 and 18  months. It comprised a predefined follow-up schedule, a team with defined roles, a real-time digital planner for recording contact attempts, participation status, and activity completion, and a five-tier participation classification. Tracking was conducted through office visits, phone calls, and home visits. Flexible protocols and targeted outreach addressed pandemic-related disruptions and irregular work schedules. Overall retention was 77%, with 84% and 75% at 12 and 18  months, respectively. Partial refusals (27%) were primarily linked to mobility and work demands, while 94 participants fully discontinued. Home visits enabled completion for 154 participants, with an 88% success rate. This experience illustrates how context-adapted tracking systems can sustain high retention in rural settings, offering a scalable model to inform global health research in underserved populations.

Indexed as

Birth CohortRural PopulationAdultCohort StudiesCOVID-19EcuadorFemaleHumansPregnancyYoung Adultdeveloping countriesfollow-up studieshome visitspartial refusalsparticipant tracking

Identifiers

PMID41084983
PMCPMC12523455

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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.