Evidence map›Paper›PMID 31646193›Full record

ArticleBMJ paediatrics open2019

Neonatal mortality and child health in a remote rural area in Nepal: a mixed methods study.

Bindu Kumari Karki, Guenter Kittel

Erratum issuedAbstract read
In one paragraph

Article in BMJ paediatrics open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Bindu Kumari KarkiMedical Faculty, Charité University, Berlin, Germany.
Guenter KittelMedical Faculty, University of Vienna, Vienna, Austria.ORCID 0000-0003-1947-5172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess neonatal and under-five mortality and the health situation for children in Dolpa, a remote rural area of Nepal. STUDY

designMixed methods: quantitative (retrospective cross sectional) and qualitative (semistructured interviews). RATIONALE: Progress in reducing child and newborn mortality in Nepal has reached the remote areas to a limited extent. Furthermore, there may be substantial under-reporting and data may be unreliable. SETTING AND

participantsThe population of Dolpa district is approximately 35 000. We visited 10 randomly selected villages (plus one settlement) with approximately 12 000 inhabitants. METHODOLOGY: Records of the number of deliveries, neonatal and under-five deaths were collected. 100 children (10 different villages) were evaluated for common diseases present during the month prior to the investigation. 20 interviews were conducted about the cultural perceptions of neonatal death and morbidity; in each village at least one interview was undertaken.

resultsThe population of the 10 villages (plus one settlement) under investigation was 12 287. 300 deliveries have taken place during the last 12 months before the study. There were 30 children reported to have died; out of those 20 were in the neonatal period. This reflects an estimated neonatal mortality rate in Dolpa district of 67/1000 live births (95% CI 41-101/1000) and an estimated under-five mortality rate of 100/1000 (95% CI 70-140/1000). In the previous month, out of 100 children surveyed there had been 11 cases of acute lower respiratory infection (ALRI), 7 cases of diarrhoea, 3 cases of isolated malnutrition and 5 cases of malnutrition combined with ALRI or diarrhoea.Based on qualitative interviews traditional beliefs still play a major role, and are partly a hindrance to progress in health. There is also mistrust in the health services and misconceptions about 'modern' medicine and treatment facilities.

conclusionDespite progress in child morbidity and mortality in Nepal, some areas remain underserved by health services and neonatal mortality is far above the Nepalese average, which is 29/1000 live births. There is a substantial need to increase and train health staff. Health promotion should be encouraged but cultural perceptions have to be understood if positive behavioural change is to be achieved.

Indexed as

child mortality and morbiditylack of accessneonatal mortalityNepalpovertyremote districtsrural communities

Identifiers

PMID31646193
PMCPMC6782127

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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.