Evidence map›Paper›PMID 36050953›Full record

ArticleJournal of Taibah University Medical Sciences2022

Indigenous communities of Peru: Level of accessibility to health facilities.

Akram Hernández-Vásquez, Guido Bendezu-Quispe, Efrain Y Turpo Cayo

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Cross-country analysis of health systems and hospital utilization across the Amazon.Revista panamericana de salud publica = Pan American journal of public health · 2026
    Article
  6. Article
  7. Article
  8. Perceptions of primary care services among Afro-Peruvians in Lima, Peru.Primary health care research & development · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. 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.

Akram Hernández-VásquezCentro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.
Guido Bendezu-QuispeCentro de Investigación Epidemiológica en Salud Global, Universidad Privada Norbert Wiener, Lima, Peru.
Efrain Y Turpo CayoPhD Programme in Water Resources (PDRH), National Agrarian University - La Molina, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to geospatially model the level of geographic accessibility to health facilities among Amazonian Indigenous communities in a region of Peru. Methods: Spatial modeling of the physical accessibility of the Indigenous communities to the nearest health facility was performed through cost-distance analysis. The study area was Loreto, the region with the largest territorial area and number of Indigenous communities in Peru. The time required to reach a health facility was determined by cumulatively adding the time needed to cross the grids on the lowest cost route from the Indigenous communities' locations to the nearest health facility, by considering Amazonian geographical conditions and the main types of transport used. Results: The median time to reach a health facility was 0.96 h (interquartile range: 0.45-2.41). Of the total communities (n = 1043), only 479 (45.93%) communities were within 1 h from the nearest health facility, and 161 (15.44%) were more than 8 h away. The Indigenous communities more than 8 h away from a health establishment were located in the border areas of the department of Loreto. Conclusion: One in two Indigenous communities is more than 1 h from the nearest health facility.

Indexed as

Geographic information systemsNative communitiesPeruSouth AmericaSpatial analysisSpatial interaction model

Identifiers

PMID36050953
PMCPMC9396069

What OpenQuestion holds

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Registered trials

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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.