Evidence map›Paper›PMID 41323194›Full record

ArticleFrontiers in global women's health2025

Assessing the impact of a business intelligence program on the employability and well-being of low-income women: a quasi-experimental study protocol.

Marco Faytong-Haro, Alonso Quijano-Ruiz, Daniel Sanchez-Pazmiño, Patricio Alvarez-Muñoz, Jose Diaz-Montenegro, María José Delgado-Rendon, Stephanie Gallegos-Caamaño, Andrea Angulo-Prado, Manuel Murrieta-Vásquez, Karla Robles-Velasco and 5 more

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marco Faytong-HaroFacultad de Investigación, Universidad Estatal de Milagro, Milagro, Ecuador.
Alonso Quijano-RuizResearch Department, Ecuadorian Development Research Lab, Daule, Ecuador.
Daniel Sanchez-PazmiñoResearch Department, Ecuadorian Development Research Lab, Daule, Ecuador.
Patricio Alvarez-MuñozFacultad de Ciencias Sociales, Educación Comercial y Derecho, Universidad Estatal de Milagro, Ecuador.
Jose Diaz-MontenegroFacultad de Ciencias Sociales, Educación Comercial y Derecho, Universidad Estatal de Milagro, Ecuador.
María José Delgado-RendonCentro de Investigación, Instituto Superior Tecnológico Argos, Guayaquil, Ecuador.
Stephanie Gallegos-CaamañoResearch Department, Ecuadorian Development Research Lab, Daule, Ecuador.
Andrea Angulo-PradoCentro de Investigación, Instituto Superior Tecnológico Argos, Guayaquil, Ecuador.
Manuel Murrieta-VásquezFacultad de Administración y Negocios, Universidad Casa Grande, Guayaquil, Ecuador.
Karla Robles-VelascoFacultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondon, Ecuador.
Ivan Cherrez-OjedaFacultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondon, Ecuador.
Angélica-María Sánchez-RiofríoFacultad de Emprendimiento, Negocios y Economía, Universidad Espíritu Santo, Samborondon, Ecuador.
Mónica Izurieta GuevaraFacultad de Ciencias de la Salud Eugenio Espejo, Centro de Salud Pública y Epidemiología Clínica (CISPEC), Universidad UTE, Quito, Ecuador.
Claudia Reytor-GonzálezFacultad de Ciencias de la Salud Eugenio Espejo, Centro de Salud Pública y Epidemiología Clínica (CISPEC), Universidad UTE, Quito, Ecuador.
Daniel Simancas-RacinesFacultad de Ciencias de la Salud Eugenio Espejo, Centro de Salud Pública y Epidemiología Clínica (CISPEC), Universidad UTE, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women are underrepresented globally in the field of data analytics, particularly in underdeveloped countries. We present a protocol to assess the impact of the

Indexed as

business intelligence trainingdata analytics educationeconomic empowermentemployabilitygender gap in STEMlow-income womenquasi-experimental design

Identifiers

PMID41323194
PMCPMC12657491

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.