Evidence map›Paper›PMID 33869554›Full record

ArticleFrontiers in sociology2021

Emergent Change in a Mexican Midwifery Center Organization Amidst the COVID-19 Crisis.

Cristina Alonso, Akane Sugimoto Storey, Ilse Fajardo, Hannah S Borboleta

Open access · goldAbstract read
In one paragraph

Article in Frontiers in sociology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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.

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

4 citing papers in PubMed, 9 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

4 authors at 1 institution in 1 country.

Cristina AlonsoLuna Maya, San Cristobal de las Casas, Mexico.
Akane Sugimoto StoreyLuna Maya, San Cristobal de las Casas, Mexico.
Ilse FajardoLuna Maya, San Cristobal de las Casas, Mexico.
Hannah S BorboletaLuna Maya, San Cristobal de las Casas, Mexico.
Universidad Maya · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Luna Maya is a Mexican NGO that operates two full-scope midwifery centers in Mexico City and Chiapas, Mexico, providing woman-centered, culturally appropriate midwifery model maternity care on a sliding cost scale. The COVID-19 health crisis has made it necessary for Luna Maya to quickly incorporate safety protocols for out-of-hospital maternity care. Yet many of the emerging guidelines on maternity care have focused on high-income and hospital settings; there are no specific guidelines for such care in out-of-hospital settings in low- and middle-income countries. Thus we have had to create our own, based on best available and emerging evidence. In this article, we describe the guidelines and protocols we have created in response to COVID-19, the international evidence and recommendations on which we base them, and precisely how we carry them out in practice. We also present and analyze the results of qualitative interviews we conducted for this article with eight of our midwives and eight of our midwifery clients. These interviews reveal the tremendous stresses both midwives and pregnant and birthing women are experiencing as a result of the pandemic, their creative adaptations, and the structural flaws, deficiencies, and inequities of the Mexican healthcare system. The article also addresses Luna Maya's ongoing challenges in continuing to provide care completely outside of governmental support and in difficult economic times, and demonstrates the extreme need for improvements in the Mexican system of maternity care and for full integration of community-based midwives and out-of-hospital birth.

Indexed as

birthChiapasCOVID-19MexicoMexico DFmidwifery model of careout-of-hospital birthpregnancy

Identifiers

PMID33869554
PMCPMC8022538
OpenAlexW3130869820

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.