Evidence map›Paper›PMID 29225959›Full record

ArticleBMJ global health2017

Effect of removing the barrier of transportation costs on surgical utilisation in Guinea, Madagascar and the Republic of Congo.

Mark G Shrime, Mirjam Hamer, Swagoto Mukhopadhyay, Lauren M Kunz, Nathan H Claus, Kirsten Randall, Joannita H Jean-Baptiste, Pierre H Maevatombo, Melissa P S Toh, Jasmin R Biddell and 2 more

Abstract read
In one paragraph

Article in BMJ global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. A Comparative Study of Cleft Management in Different Economic Settings: United States Versus Guatemala.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026
    Article
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  17. Access to safe surgery.BMJ global health · 2017
    Article
  18. 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

12 authors.

Mark G ShrimeProgram in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA.
Mirjam HamerPaediatric Intensive Care Unit, University Medical Center, Utrecht, The Netherlands.
Swagoto MukhopadhyayProgram in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA.
Lauren M KunzNational Institutes of Health, Bethesda, USA.
Nathan H ClausMercy Ships, Lindale, USA.
Kirsten RandallMercy Ships, Lindale, USA.
Joannita H Jean-BaptisteFreedom from Fistula Foundation, Toamasina, Madagascar.
Pierre H MaevatomboWISE, Project on Reproductive Health, Toamasina, Madagascar.
Melissa P S TohMercy Ships, Lindale, USA.
Jasmin R BiddellMercy Ships, Lindale, USA.
Ria BosMercy Ships, Lindale, USA.
Michelle WhiteMercy Ships, Lindale, USA.ORCID 0000-0002-5118-1054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background81 million people face impoverishment from surgical costs every year. The majority of this impoverishment is attributable to the non-medical costs of care-for transportation, for food and for lodging. Of these, transportation is the largest, but because it is not viewed as an actual medical cost, it is frequently unaddressed. This paper examines the effect on surgical utilisation of paying for transportation.

methodsA hierarchical logistic regression was performed on 2692 patients presenting for surgical care to a non-governmental organisation operating in the Republic of the Congo, Guinea and Madagascar. Controlling for distance from the hospital, age, gender, the need for air travel and time between appointments, the effect of payment for transportation on the surgical no-show rate was evaluated.

resultsAfter adjustment for observed confounders, paying for transportation drops the surgical no-show rate by 45% (OR 0.55; 95% CI 0.40 to 0.77; p<0.001). Age, delay between appointments and the number of hours travelled for surgery also predict surgical no-show. For 28% of no-show patients, the cost of transportation from their homes to a nearby predetermined pick-up point remained a barrier, even when transportation from the pick-up point to the hospital was free.

conclusionTransportation costs are a significant barrier to surgical care in low-resource settings, and paying for it halves the no-show rate. This finding highlights that decreasing demand-side barriers to surgical care cannot be limited only to the removal of user fees.

Indexed as

health economicshealth policypublic healthsurgery

Identifiers

PMID29225959
PMCPMC5717941

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.