Evidence map›Paper›PMID 40802786›Full record

ArticleJNMA; journal of the Nepal Medical Association2023

Leave Against Medical Advice among Neonates Admitted to Neonatal Intensive Care Unit in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Yograj Sharma, Om Krishna Pathak, Asmita Sharma, Suvekhsya Khanal, Niruta Baral, Sagar Shrestha, Pradeep Adhikari

Abstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Yograj SharmaDepartment of Paediatrics, Bharatpur Hospital, Bharatpur, Chitwan, Nepal.
Om Krishna PathakDepartment of Paediatrics, Bharatpur Hospital, Bharatpur, Chitwan, Nepal.
Asmita SharmaBharatpur Hospital Nursing Program, Bharatpur Hospital, Bharatpur, Chitwan, Nepal.
Suvekhsya KhanalDepartment of Paediatrics, Bharatpur Hospital, Bharatpur, Chitwan, Nepal.
Niruta BaralDepartment of Paediatrics, Bharatpur Hospital, Bharatpur, Chitwan, Nepal.
Sagar ShresthaDepartment of Paediatrics, Bharatpur Hospital, Bharatpur, Chitwan, Nepal.
Pradeep AdhikariDepartment of Anaesthesiology, Bharatpur Hospital, Bharatpur, Chitwan, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Leave against medical advice is a condition in which a patient leaves the hospital against the treating physician's recommendation and is a sensitive issue occurring frequently in neonatal intensive care units across the developing world. Investigating the causes of newborn deaths is essential as there is high neonatal mortality rate in context of Nepal and a huge gap between that rate and desired outcomes. Self-discharge of sick neonates from hospitals further increases the chance of death. Hence, this study aimed to find out the prevalence of leave against medical advice among neonates admitted to the neonatal intensive care unit in a tertiary care centre. Method: This descriptive cross-sectional study was conducted among patients admitted to the Neonatal Intensive Care Unit from 14 April 2021 to 13 April 2023 after obtaining ethical approval from the Institutional Review Committee (Reference number: 077/78-021). The patient's demographic and clinical characteristics and reasons for self-discharge were recorded. Convenience sampling was done. Point estimate and 95% Confidence Interval were calculated. Results: Among 1352 neonates, the prevalence of leave against medical advice was 119 (8.80%) (7.29-10.31, 95% Confidence Interval). Conclusions: The prevalence of leave against medical advice from the neonatal intensive care unit was lower than in other studies done in similar settings.

Indexed as

leave against medical adviceneonatal intensive care unitneonatesprevalence

Identifiers

PMID40802786
PMCPMC10395582

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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.