Evidence map›Paper›PMID 37094900›Full record

ArticleBMJ open2023

Impact assessment of a raw coal ban on maternal and child health outcomes in Ulaanbaatar: a protocol for an interrupted time series study.

Emma Dickinson-Craig, Jargalsaikhan Badarch, Suzanne Bartington, Karla Hemming, Rasiah Thayakaran, Rosie Day, Francis Pope, Bataa Chuluunbaatar, Damdindorj Boldbaatar, Chimedsuren Ochir and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The Essential Role of Air Quality Monitoring at U.S. Embassies and Consulates.American journal of respiratory and critical care medicine · 2025
    Article
  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

13 authors.

Emma Dickinson-CraigInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0003-1111-8680
Jargalsaikhan BadarchMongolian National University of Medical Sciences, Ulaanbaatar, Mongolia s.manasekiholland@bham.ac.uk jargalsaikhan.b@mnums.edu.mn.
Suzanne BartingtonInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-8179-7618
Karla HemmingInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Rasiah ThayakaranInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Rosie DaySchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Francis PopeSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Bataa ChuluunbaatarUNICEF Mongolia, Ulaanbaatar, Mongolia.
Damdindorj BoldbaatarMongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Chimedsuren OchirMongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
David WarburtonSaban Research Institute, Children's Hospital of Los Angeles, University of Southern California, Los Angeles, California, USA.
Graham Neil ThomasInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Semira Manaseki-HollandInstitute of Applied Health Research, University of Birmingham, Birmingham, UK s.manasekiholland@bham.ac.uk jargalsaikhan.b@mnums.edu.mn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite a decade of policy actions, Ulaanbaatar's residents continue to be exposed to extreme levels of air pollution, a major public health concern, especially for vulnerable populations such as pregnant women and children. In May 2019, the Mongolian government implemented a raw coal ban (RCB), prohibiting distribution and use of raw coal in households and small businesses in Ulaanbaatar. Here, we present the protocol for an interrupted time series (ITS; a strong quasi-experimental study design for public health interventions) that aims to assess the effectiveness of this coal ban policy on environmental (air quality) and health (maternal and child) outcomes. METHODS AND ANALYSIS: Routinely collected data on pregnancy and child respiratory health outcomes between 2016 and 2022 in Ulaanbaatar will be collected retrospectively from the four main hospitals providing maternal and/or paediatric care as well as the National Statistics Office. Hospital admissions data for childhood diarrhoea, an unrelated outcome to air pollution exposure, will be collected to control for unknown or unmeasured coinciding events. Retrospective air pollution data will be collected from the district weather stations and the US Embassy. An ITS analysis will be conducted to determine the RCB intervention impact on these outcomes. Prior to the ITS, we have proposed an impact model based on a framework of five key factors, which were identified through literature search and qualitative research to potentially influence the intervention impact assessment. ETHICS AND DISSEMINATION: Ethical approval has been obtained via the Ministry of Health, Mongolia (No.445) and University of Birmingham (ERN_21-1403). To inform relevant stakeholders of our findings, key results will be disseminated on both (inter)national and population levels through publications, scientific conferences and community briefings. These findings are aimed to provide evidence for decision-making in coal pollution mitigation strategies in Mongolia and similar settings throughout the world.

Indexed as

Air PollutantsAir PollutionChildCoalFemaleHumansInterrupted Time Series AnalysisOutcome Assessment, Health CarePregnancyRetrospective StudiesAir PollutantsCoalHealth policyMaternal medicinePAEDIATRICSPUBLIC HEALTHSTATISTICS & RESEARCH METHODS

Identifiers

PMID37094900
PMCPMC10151914

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LicenceCC BY-NC
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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.