Evidence map›Paper›PMID 40850912›Full record

ArticleBMJ open2025

Drowning in delays: a patient journey mapping analysis of child drowning care in rural India.

Jagnoor Jagnoor, Medhavi Gupta

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Observational
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

2 authors.

Jagnoor JagnoorInjury Division, The George Institute for Global Health, New Delhi, India.ORCID http://orcid.org/0000-0002-5276-9095
Medhavi GuptaInjury Division, The George Institute for Global Health, New Delhi, India mgupta@georgeinstitute.org.in.ORCID http://orcid.org/0000-0002-6558-8373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesImmediate or urgent and appropriate postevent response to child drowning is crucial to decrease mortality and morbidity. However, these responses are often delayed, especially in low-income contexts. In this study, we use patient journey mapping to identify key delays to care occurring after child drowning incidents in a low-resource, high-risk region.

settingThe study was conducted in the Sundarbans, a rural region in India facing a high burden of child drowning due to high presence of open water and regular flooding.

participantsUsing purposive sampling, recent child drowning events in the Sundarbans were identified and in-depth interviews were conducted with adults present throughout the rescue and postevent journey to record decisions and delays.

designPostdrowning event delays identified through in-depth interviews were mapped against the three-delay framework, encompassing the delays of deciding to seek medical care, transporting the victim to medical facilities and delays in receiving appropriate care at the facility. In addition to the delays identified in the model, we hypothesised that an further delay occurred at rescue, which we called delay zero.

resultsWe found evidence for 'delay zero' at the time of rescue, which was caused by poor supervision preventing early identification of the event, and unclear water and nighttime both increasing the difficulty of searching for the child. We additionally documented major delays when deciding to attain medical care as bystanders first applied traditional resuscitation methods. Distance to formal medical facilities constituted a barrier, so local bystanders enlisted the help of untrained local doctors before attempting travel.

conclusionsThe results highlighted the critical need to improve child supervision and employ preventative programmes as once drowning events occur, appropriate care was rarely applied in this context. However, postdrowning care could be improved by training bystanders and local informal doctors in cardiopulmonary resuscitation, and by expanding the health system's geographical reach.

Indexed as

DrowningTime-to-TreatmentAdultChildChild, PreschoolFemaleHumansIndiaInfantInterviews as TopicMaleQualitative ResearchRural PopulationCommunity-Based Participatory ResearchCommunity child healthPUBLIC HEALTHRisk Factors

Identifiers

PMID40850912
PMCPMC12382531

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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.