Evidence map›Paper›PMID 30875380›Full record

ArticlePloS one2019

Trends and future of maternal and child health in Bangladesh.

Sultana Rajia, Md Sabiruzzaman, Md Kamrul Islam, Md Golam Hossain, Pete E Lestrel

Abstract read
In one paragraph

Article in PloS one, 2019. 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.

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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

5 authors.

Sultana RajiaDepartment of Statistics, Rajshahi University, Rajshahi, Bangladesh.
Md SabiruzzamanDepartment of Statistics, Rajshahi University, Rajshahi, Bangladesh.ORCID 0000-0002-9190-8430
Md Kamrul IslamDepartment of Statistics, Rajshahi University, Rajshahi, Bangladesh.
Md Golam HossainDepartment of Statistics, Rajshahi University, Rajshahi, Bangladesh.
Pete E LestrelProfessor Emeritus, Sections of Orthodontics and Oral Biology, School of Dentistry, University of California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal and child health is one of the most important issues in a developing country like Bangladesh. This study evaluates the trends in maternal and child health indicators of Bangladesh.

methodsThe secondary data used in this study was extracted from the World Bank Dataset. The selected indicators were maternal mortality ratio (MMR), under-five children mortality and neonatal mortality rate, and prevalence of stunting and wasting of under-five children. Trend analysis technique and ARIMA forecasting models were used in this study to find currents trend and predict the future of selected indicators.

resultsThis study revealed clear evidence that neonatal, under-five child and maternal mortality in Bangladesh had been gradually decreasing during the last two and half decades. The decreasing rate of these indicators suggests that it should be possible to achieve the national target of sustainable development goals (SDGs) of Bangladesh by 2021. While, it was observed that the prevalence of underweight, stunting and wasting among under-five children was still high, these indicators have been slowly decreasing over time. The decreasing rate of these indicators displayed that without guided measures, the Bangladesh government would not be able to achieve the target goal of child malnutrition by 2021 under SDG-2.2.

conclusionIt is recommended that the government, as well as non-government health organizations (NGOs), and other policy makers should provide programs that are effective so that the national target goals can be achieved by the year 2030. Consequently, our findings should assist in the achievement of the national goals in Bangladesh regarding these health issues.

Indexed as

BangladeshChild HealthChild MortalityChild Nutrition DisordersChild, PreschoolFemaleForecastingGrowth DisordersHumansInfantInfant MortalityInfant, NewbornMaternal HealthMaternal MortalityPrevalenceWasting Syndrome

Identifiers

PMID30875380
PMCPMC6420003

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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.