Evidence map›Paper›PMID 41878581›Full record

ArticleBMJ public health2026

Uncovering variations in drowning mortality in Fiji between Indigenous iTaukei and Fijians of Indian descent during 2016-2022: a national retrospective population-based study.

Serene Shrestha, Amy E Peden, James Kalougivaki, Salma Khan, Meli Nadakuca, Arishma Bali, Joana Lesuma, Behzad Kiani, Christine Linhart

Abstract read
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Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Serene ShresthaSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0009-0003-7818-0961
Amy E PedenSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6424-1511
James KalougivakiForensic Pathology Unit, Fiji Police Force, Suva, Fiji.
Salma KhanSchool of Medical Sciences, Fiji National University, College of Medicine, Nursing and Health Sciences, Suva, Fiji.ORCID https://orcid.org/0009-0008-6877-0243
Meli NadakucaFiji Bureau of Statistics, Suva, Fiji.
Arishma BaliData Analysis and Management Unit, Fiji Ministry of Health and Medical Services, Suva, Fiji.
Joana LesumaData Analysis and Management Unit, Fiji Ministry of Health and Medical Services, Suva, Fiji.
Behzad KianiThe University of Queensland, Saint Lucia, Queensland, Australia.ORCID https://orcid.org/0000-0002-8816-328X
Christine LinhartSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8104-2688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevention of drowning, a leading cause of injury-related mortality and morbidity, benefits from epidemiological identification of at-risk demographics and incident factors. Empirical data are vital for this purpose, yet no studies have utilised such data in Fiji in the past decade. Methods: Using unit record mortality data from Fiji's Ministry of Health and Medical Services (medical certificates of cause of death) and the Fiji Police Force (forensic pathology autopsy reports), a national retrospective population-based analysis of unintentional drowning in Fiji during the period 2016-2022 was conducted. Analysis comprised drowning rates by sex, ethnicity, age group, location of drowning and seasonality. Results: During the period 2016-2022, the unintentional drowning mortality rate for Fiji (per 100 000 population) was 5.9 (95% CI 5.3 to 6.5), with a higher rate in males at 9.3 (8.2 to 10.4) compared with females at 2.4 (1.8 to 2.9). Drowning risk differentials were identified by ethnicity, with a higher rate among iTaukei males at 10.5 (9.1 to 12.0) compared with male Fijians of Indian descent at 5.9 (4.4 to 7.4); and among iTaukei females at 3.2 (2.4 to 4.0) compared with female Fijians of Indian descent at 0.6 (0.2 to 1.3). Data collection systems in Fiji need improvement as prior to data cleaning, all accidental drowning records were coded to 'unspecified accidental drowning and submersion', which provides limited insight into causal factors and hinders the design of targeted prevention interventions. Conclusion: Ethnic differences in drowning risk profile must be measured and monitored in Fiji, with further research needed to determine how water exposure and usage patterns differ by ethnic group. Furthermore, data improvements are vital in Fiji to ensure all drowning deaths are identified and coded correctly.

Indexed as

AccidentsDrowningEducation, MedicalEpidemiologic FactorsPublic Health

Identifiers

PMID41878581
PMCPMC13007189

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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.