Evidence map›Paper›PMID 32274536›Full record

ArticleWorld journal of surgery2020

Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times.

Niclas Rudolfson, Magdalena Gruendl, Theoneste Nkurunziza, Frederick Kateera, Kristin Sonderman, Edison Nihiwacu, Bahati Ramadhan, Robert Riviello, Bethany Hedt-Gauthier

Abstract readComparative Study
In one paragraph

Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Expanding Global Surgery Services to Include Reduction Mammaplasty Procedures.Plastic and reconstructive surgery. Global open · 2025
    Article
  6. The Burden of Plastic Surgery in Rural Kenya: The Kapsowar Hospital Experience.Plastic and reconstructive surgery. Global open · 2024
    Article
  7. Article
  8. Article
  9. Geospatial determinants of health: A global surgery lens.Journal of the colleges of medicine of South Africa · 2024
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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

9 authors.

Niclas RudolfsonProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA. niclas.rudolfson@med.lu.se.
Magdalena GruendlProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA.
Theoneste NkurunzizaPartners In Health/Inshuti Mu Buzima, Kigali, Rwanda.
Frederick KateeraPartners In Health/Inshuti Mu Buzima, Kigali, Rwanda.
Kristin SondermanProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA.
Edison NihiwacuPartners In Health/Inshuti Mu Buzima, Kigali, Rwanda.
Bahati RamadhanPartners In Health/Inshuti Mu Buzima, Kigali, Rwanda.
Robert RivielloProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA.
Bethany Hedt-GauthierProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA.

Funding

Using mHealth technology to identify and refer surgical site infections in RwandaR21EB022369 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI HEDT-GAUTHIER, BETHANY, RIVIELLO, ROBERT · 2016 to 2017
$395k
NIBIB NIH HHS R21 EB022369
6 · The paper itself

Abstract

backgroundSince long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the "Three Delays Framework," namely "delay in reaching a health facility." Most attempts to estimate this indicator have been based on geographical information systems (GIS) algorithms. The aim of our study was to compare GIS derived estimates to self-reported travel times for patients traveling to a district hospital in rural Rwanda for emergency obstetric care.

methodsOur study includes 664 women who traveled to undergo a Cesarean delivery in Kirehe, Rwanda. We compared self-reported travel time from home to the hospital (excluding waiting time) with GIS estimated travel times, which were computed using the World Health Organization tool AccessMod, using linear regression.

resultsThe majority of patients used multiple modes of transportation (walking = 48.5%, public transport = 74.2%, private transport = 2.9%, and ambulance 70.6%). Self-reported times were longer than GIS estimates by a factor of 1.49 (95% CI 1.40-1.57). Concordance was higher when the GIS model took into account that all patients in Rwanda are referred via their health center (β = 1.12; 95% CI 1.05-1.18).

conclusionsTo our knowledge, in this largest to date GIS validation study for geographical access to healthcare in low- and middle-income countries, a standard GIS model was found to significantly underestimate real travel time, which likely is in part because it does not model the actual route patients are travelling. Therefore, previous studies of 2-h access to surgery will need to be interpreted with caution, and future studies should take local travelling conditions into account.

Indexed as

Geographic Information SystemsHealth Services AccessibilityTravelAdultCesarean SectionEmergency Medical ServicesFemaleHealth FacilitiesHospitals, DistrictHumansRwandaTime Factors

Identifiers

PMID32274536
PMCPMC7266844

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.