Evidence map›Paper›PMID 38515804›Full record

ArticleDialogues in health2023

Rethinking referral systems in rural chiapas: A mixed methods study.

Valeria Macias, Zulema Garcia, William Pavlis, Sarah Hill, Zachary Fowler, Diana D Del Valle, Tarsicio Uribe-Leitz, Hannah Gilbert, Lina Roa, Mary-Jo DelVecchio Good

Open access · goldAbstract read
In one paragraph

Article in Dialogues in health, 2023. 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
0.4field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

10 authors at 5 institutions in 3 countries.

Valeria MaciasCompañeros en Salud, Ángel Albino Corzo, Mexico.
Zulema GarciaCompañeros en Salud, Ángel Albino Corzo, Mexico.
William PavlisDepartment of Orthopaedics, University of Miami, Miami, FL, USA.
Sarah HillProgram in Global Surgery and Social Change, Harvard Medical School, Boston, USA.
Zachary FowlerProgram in Global Surgery and Social Change, Harvard Medical School, Boston, USA.
Diana D Del ValleProgram in Global Surgery and Social Change, Harvard Medical School, Boston, USA.
Tarsicio Uribe-LeitzProgram in Global Surgery and Social Change, Harvard Medical School, Boston, USA.
Hannah GilbertDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, USA.
Lina RoaProgram in Global Surgery and Social Change, Harvard Medical School, Boston, USA.
Mary-Jo DelVecchio GoodDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, USA.
Harvard University · USBrigham and Women's Hospital · USHarvard Global Health Institute · USHofstra University · USUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the assurance of universal health coverage, large disparities exist in access to surgery in the state of Chiapas. The purpose of this study was to determine the effectiveness of the surgical referral system at hospitals operated by the Ministry of Health in Chiapas. Methods: 13 variables were extracted from surgical referrals data from three public hospitals in Chiapas over a three-year period. Interviews were performed of health care workers involved in the referral system and surgical patients. The quantitative and qualitative data was analyzed convergently and reported using a narrative approach. Findings: In total, only 47.4% of referred patients requiring surgery received an operation. Requiring an elective, gynecological, or orthopedic surgery and each additional surgery cancellation were significantly associated with lower rates of receiving surgery. The impact of gender and surgical specialty, economic fragility of farmers, dependence upon economic resources to access care, pain leading people to seek care, and futility leading patients to abandon the public system were identified as main themes from the mixed methods analysis. Interpretation: Surgical referral patients in Chiapas struggle to navigate an inefficient and expensive system, leading to delayed care and forcing many patients to turn to the private health system. These mixed methods findings provide a detailed view of often overlooked limitations to universal health coverage in Chiapas. Moving forward, this knowledge must be applied to improve referral system coordination and provide hospitals with the necessary workforce, equipment, and protocols to ensure access to guaranteed care. Funding: Harvard University and the Abundance Fund provided funding for this project. Funding sources had no role in the writing of the manuscript or decision to submit it for publication.

Indexed as

ChiapasGlobal surgeryMexicoReferral systemSurgery

Identifiers

PMID38515804
PMCPMC10953926
OpenAlexW3093473881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.