Evidence map›Paper›PMID 28780684›Full record

ArticleMaternal and child health journal2018

Travel Time to Hospital for Childbirth: Comparing Calculated Versus Reported Travel Times in France.

Hugo Pilkington, Caroline Prunet, Béatrice Blondel, Hélène Charreire, Evelyne Combier, Marc Le Vaillant, Jeanne-Marie Amat-Roze, Jennifer Zeitlin

Abstract read
PubMed Publisher
In one paragraph

Article in Maternal and child health journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 6 institutions in 1 country.

Hugo PilkingtonDépartement de Géographie, Université Paris 8 Vincennes-Saint-Denis, UMR7533 Ladyss, 2 rue de la Liberté, 93526, Saint-Denis, France. hugo.pilkington@univ-paris8.fr.
Caroline PrunetINSERM U1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Research on Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris Descartes University, Paris, France.
Béatrice BlondelINSERM U1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Research on Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris Descartes University, Paris, France.
Hélène CharreireUniversité Paris-Est, LabUrba, Ecole d'urbanisme de Paris, Créteil, France.
Evelyne CombierCentre d'épidémiologie des populations (CEP), University of Burgundy, EA4184 CHU, Hôpital du Bocage, Dijon, France.
Marc Le VaillantCentre de Recherche, médecine, sciences, santé, santé mentale, société (CERMES3) INSERM U988 - CNRS UMR 8211, Villejuif Cedex, France.
Jeanne-Marie Amat-RozeUniversité Paris-Est, LabUrba, Ecole d'urbanisme de Paris, Créteil, France.
Jennifer ZeitlinINSERM U1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Research on Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris Descartes University, Paris, France.
Laboratoire d'Urbanisme · FRSorbonne Paris Cité · FRCentre de Recherche Médecine, Sciences, Santé, Santé Mentale, Société · FRUniversité de Bourgogne · FRUniversité Paris 8 · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives Timely access to health care is critical in obstetrics. Yet obtaining reliable estimates of travel times to hospital for childbirth poses methodological challenges. We compared two measures of travel time, self-reported and calculated, to assess concordance and to identify determinants of long travel time to hospital for childbirth. Methods Data came from the 2010 French National Perinatal Survey, a national representative sample of births (N = 14 681). We compared both travel time measures by maternal, maternity unit and geographic characteristics in rural, peri-urban and urban areas. Logistic regression models were used to study factors associated with reported and calculated times ≥30 min. Cohen's kappa coefficients were also calculated to estimate the agreement between reported and calculated times according to women's characteristics. Results In urban areas, the proportion of women with travel times ≥30 min was higher when reported rather than calculated times were used (11.0 vs. 3.6%). Longer reported times were associated with non-French nationality [adjusted odds ratio (aOR) 1.3 (95% CI 1.0-1.7)] and inadequate prenatal care [aOR 1.5 (95% CI 1.2-2.0)], but not for calculated times. Concordance between the two measures was higher in peri-urban and rural areas (52.4 vs. 52.3% for rural areas). Delivery in a specialised level 2 or 3 maternity unit was a principal determinant of long reported and measured times in peri-urban and rural areas. Conclusions for Practice The level of agreement between reported and calculated times varies according to geographic context. Poor measurement of travel time in urban areas may mask problems in accessibility.

Indexed as

Delivery, ObstetricParturitionAdolescentAdultFemaleFranceHealth Services AccessibilityHospitalsHumansMaternal Health ServicesObstetricsPrenatal CareRural PopulationSuburban PopulationTravelUrban PopulationAccessibilityFranceHospital planningPerinatal careTravel time

Identifiers

PMID28780684
OpenAlexW2742672495

What OpenQuestion holds

Textmetadata
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.