Evidence map›Paper›PMID 31886138›Full record

ArticleAnnals of global health2019

The Impact of the Interventions for 4

Hocheol Lee, Sung Jong Park, Grace O Ndombi, Eun Woo Nam

Abstract read
In one paragraph

Article in Annals of global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Factors Associated with Late Antenatal Initiation among Women in Malawi.International journal of environmental research and public health · 2024
    Article
  4. 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

4 authors.

Hocheol LeeDepartment of Health Administration, Yonsei University Graduate School, Wonju, KR.ORCID 0000-0003-1467-8843
Sung Jong ParkDepartment of Applied Statistic, Yonsei University Graduate School, Wonju, KR.ORCID 0000-0001-9633-3632
Grace O NdombiDepartment of Health Administration, Yonsei University Graduate School, Wonju, KR.ORCID 0000-0002-0996-6595
Eun Woo NamDepartment of Health Administration, Yonsei University Graduate School, Wonju, KR.ORCID 0000-0001-6584-0658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In 2015, the United Nations set the sustainable development goals (SDGs) with a focus on the maternal mortality ratio (MMR), to decrease the mortality rate of newborns to 70 per 100,000 by 2030. Despite efforts to achieve the SDGs, the MMR in the Democratic Republic of Congo (DRC) was 693 per 100,000 in 2015-the sixth highest in the world and higher than the average (547 per 100,000) of sub-Saharan Africa. Objectives: The primary aim was to identify effect factors of 4 Methods: This study used a before and after study design and focused on ANC utilization of reproductive age women in Kenge, DRC. This study provided the MCH intervention based on three phases of the Three Delays Model from 2014 to 2017. We interviewed 2,663 participants from 2014 to 2017. This study used the decision tree node for prediction of 4 Findings: The decision tree showed that hand-washing (1.000) was the most important factor for receiving 4 Conclusions: The most important factors were related to awareness. We recommend conducting interventions focused on improving awareness increase 4

Indexed as

Decision TreesHand DisinfectionHealth Knowledge, Attitudes, PracticeMaternal AgePatient SatisfactionAbortion, InducedAdultBreast FeedingCapacity BuildingCommunity Health WorkersDemocratic Republic of the CongoEducational StatusFemaleHealth EducationHumansIncome

Identifiers

PMID31886138
PMCPMC6934005

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.