Evidence map›Paper›PMID 29764902›Full record

Trial reportJournal of epidemiology and community health2018

Secular trend, seasonality and effects of a community-based intervention on neonatal mortality: follow-up of a cluster-randomised trial in Quang Ninh province, Vietnam.

Leif Eriksson, Nguyen T Nga, Dinh T Phuong Hoa, Duong M Duc, Anna Bergström, Lars Wallin, Mats Målqvist, Uwe Ewald, Tran Q Huy, Nguyen T Thuy and 4 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of epidemiology and community health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 18% 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, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 7 institutions in 3 countries.

Leif ErikssonDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-2857-4746
Nguyen T NgaResearch Institute for Child Health, Hanoi, Vietnam.
Dinh T Phuong HoaHanoi University of Public Health, Hanoi, Vietnam.
Duong M DucHanoi University of Public Health, Hanoi, Vietnam.
Anna BergströmInternational Maternal and Child Health (IMCH), Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Lars WallinSchool of Education, Health and Social Studies, Dalarna University, Falun, Sweden.
Mats MålqvistInternational Maternal and Child Health (IMCH), Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-8184-3530
Uwe EwaldInternational Maternal and Child Health (IMCH), Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Tran Q HuyDepartment of Medical Services Administration, Ministry of Health, Nursing office, Hanoi, Vietnam.
Nguyen T ThuyVietnam-Sweden Uong Bi General Hospital, Uong Bi, Vietnam.
Tran Thanh DoNational Institute of Nutrition (NIN), Ministry of Health, Hanoi, Vietnam.
Pham T L LienResearch Institute for Child Health, Hanoi, Vietnam.
Lars-Åke PerssonInternational Maternal and Child Health (IMCH), Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Katarina Ekholm SellingInternational Maternal and Child Health (IMCH), Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Uppsala University · SEHanoi University · VNInstitute for Reproductive and Family Health · VNDalarna University · SEMinistry of Health · VNNational Institute of Nutrition · VNVietnam Sweden hospital · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is know about whether the effects of community engagement interventions for child survival in low-income and middle-income settings are sustained. Seasonal variation and secular trend may blur the data. Neonatal mortality was reduced in a cluster-randomised trial in Vietnam where laywomen facilitated groups composed of local stakeholders employing a problem-solving approach for 3 years. In this analysis, we aim at disentangling the secular trend, the seasonal variation and the effect of the intervention on neonatal mortality during and after the trial.

methodsIn Quang Ninh province, 44 communes were allocated to intervention and 46 to control. Births and neonatal deaths were assessed in a baseline survey in 2005, monitored during the trial in 2008-2011 and followed up by a survey in 2014. Time series analyses were performed on monthly neonatal mortality data.

resultsThere were 30 187 live births and 480 neonatal deaths. The intervention reduced the neonatal mortality from 19.1 to 11.6 per 1000 live births. The reduction was sustained 3 years after the trial. The control areas reached a similar level at the time of follow-up. Time series decomposition analysis revealed a downward trend in the intervention areas during the trial that was not found in the control areas. Neonatal mortality peaked in the hot and wet summers.

conclusionsA community engagement intervention resulted in a lower neonatal mortality rate that was sustained but not further reduced after the end of the trial. When decomposing time series of neonatal mortality, a clear downward trend was demonstrated in intervention but not in control areas. TRIAL REGISTRATION NUMBER: ISRCTN44599712, Post-results.

Indexed as

Community NetworksHealth PromotionSeasonsCluster AnalysisHumansInfantInfant MortalityLinear ModelsSurveys and QuestionnairesVietnamneonatal, mortality, seasonal, time series

Identifiers

PMID29764902
PMCPMC6109254
OpenAlexW2804345771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.