Evidence map›Paper›PMID 25712817›Full record

ArticleBMJ open2015

Abortion legislation, maternal healthcare, fertility, female literacy, sanitation, violence against women and maternal deaths: a natural experiment in 32 Mexican states.

Elard Koch, Monique Chireau, Fernando Pliego, Joseph Stanford, Sebastian Haddad, Byron Calhoun, Paula Aracena, Miguel Bravo, Sebastián Gatica, John Thorp

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Inequalities in access to and quality of abortion services in Mexico: Can task-sharing be an opportunity to increase legal and safe abortion care?International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2020
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Elard KochDivision of Epidemiology, MELISA Institute, Concepción, Chile.
Monique ChireauDepartment of Obstetrics and Gynecology, Duke University Medical Center, Durham, USA.
Fernando PliegoInstituto de Investigaciones Sociales, Universidad Nacional Autónoma de México, Av Universidad 3000, Copilco Universidad, Ciudad de México, Mexico.
Joseph StanfordDivision of Public Health, Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, USA.
Sebastian HaddadCoordinación de Investigación, Facultad de Ciencias de la Salud, Universidad Anáhuac, Estado de México, Mexico.
Byron CalhounDepartment of Obstetrics and Gynecology, West Virginia University, Morgantown, USA.
Paula AracenaDivision of Epidemiology, MELISA Institute, Concepción, Chile.
Miguel BravoDivision of Epidemiology, MELISA Institute, Concepción, Chile.
Sebastián GaticaDivision of Epidemiology, MELISA Institute, Concepción, Chile.
John ThorpDepartment of Obstetrics and Gynecology, University of North Carolina-Chapel Hill, Chapel Hill, USA Center for Women's Health Research, University of North Carolina School of Medicine, Chapel Hill, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

objectiveTo test whether there is an association between abortion legislation and maternal mortality outcomes after controlling for other factors thought to influence maternal health.

designPopulation-based natural experiment. SETTING AND DATA SOURCES: Official maternal mortality data from 32 federal states of Mexico between 2002 and 2011. MAIN OUTCOMES: Maternal mortality ratio (MMR), MMR with any abortive outcome (MMRAO) and induced abortion mortality ratio (iAMR). INDEPENDENT VARIABLES: Abortion legislation grouped as less (n=18) or more permissive (n=14); constitutional amendment protecting the unborn (n=17); skilled attendance at birth; all-abortion hospitalisation ratio; low birth weight rate; contraceptive use; total fertility rates (TFR); clean water; sanitation; female literacy rate and intimate-partner violence. MAIN

resultsOver the 10-year period, states with less permissive abortion legislation exhibited lower MMR (38.3 vs 49.6; p<0.001), MMRAO (2.7 vs 3.7; p<0.001) and iAMR (0.9 vs 1.7; p<0.001) than more permissive states. Multivariate regression models estimating effect sizes (β-coefficients) for mortality outcomes showed independent associations (p values between 0.001 and 0.055) with female literacy (β=-0.061 to -1.100), skilled attendance at birth (β=-0.032 to -0.427), low birth weight (β=0.149 to 2.166), all-abortion hospitalisation ratio (β=-0.566 to -0.962), clean water (β=-0.048 to -0.730), sanitation (β=-0.052 to -0.758) and intimate-partner violence (β=0.085 to 0.755). TFR showed an inverse association with MMR (β=-14.329) and MMRAO (β=-1.750) and a direct association with iAMR (β=1.383). Altogether, these factors accounted for (R(2)) 51-88% of the variance among states in overall mortality rates. No statistically independent effect was observed for abortion legislation, constitutional amendment or other covariates.

conclusionsAlthough less permissive states exhibited consistently lower maternal mortality rates, this finding was not explained by abortion legislation itself. Rather, these differences were explained by other independent factors, which appeared to have a more favourable distribution in these states.

Indexed as

Maternal MortalityAbortion, InducedAdultBirth WeightEducational StatusFemaleFertilityHospitalizationHumansMaternal DeathMaternal Health ServicesMexicoMidwiferyPregnancyRisk FactorsSanitationEPIDEMIOLOGYGYNAECOLOGYOBSTETRICSPUBLIC HEALTH

Identifiers

PMID25712817
PMCPMC4342595

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.