Evidence map›Paper›PMID 33303939›Full record

ArticleScientific reports2020

Trends and risk factors for infant mortality in the Lao People's Democratic Republic.

Viengsakhone Louangpradith, Eiko Yamamoto, Souphalak Inthaphatha, Bounfeng Phoummalaysith, Tetsuyoshi Kariya, Yu Mon Saw, Nobuyuki Hamajima

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
3.6field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Observational
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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

7 authors at 2 institutions in 2 countries.

Viengsakhone LouangpradithDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Eiko YamamotoDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan. yamaeiko@med.nagoya-u.ac.jp.
Souphalak InthaphathaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Bounfeng PhoummalaysithMinistry of Health, Vientiane, Lao People's Democratic Republic.
Tetsuyoshi KariyaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yu Mon SawDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nobuyuki HamajimaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nagoya University · JPMinistry of Health · LA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high infant mortality rate (IMR) indicates a failure to meet people's healthcare needs. The IMR in Lao People's Democratic Republic has been decreasing but still remains high. This study aimed to identify the factors involved in the high IMR by analyzing data from 53,727 live births and 2189 women from the 2017 Lao Social Indicator Survey. The estimated IMR decreased from 191 per 1000 live births in 1978-1987 to 39 in 2017. The difference between the IMR and the neonatal mortality rate had declined since 1978 but did not change after 2009. Factors associated with the high IMR in all three models (forced-entry, forward-selection, and backward-selection) of multivariate logistic regression analyses were auxiliary nurses as birth attendants compared to doctors, male infants, and small birth size compared to average in all 2189 women; and 1-3 antenatal care visits compared to four visits, auxiliary nurses as birth attendants compared to doctors, male infants, postnatal baby checks, and being pregnant at the interview in 1950 women whose infants' birth size was average or large. Maternal and child healthcare and family planning should be strengthened including upgrading auxiliary nurses to mid-level nurses and improving antenatal care quality.

Indexed as

FemaleHealth SurveysHumansInfantInfant DeathInfant MortalityInfant, NewbornLaosLive BirthMaleNursing AssistantsPregnancyPrenatal CareQuality of Health CareRisk FactorsTime Factors

Identifiers

PMID33303939
PMCPMC7730153
OpenAlexW3111911452

What OpenQuestion holds

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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.