Evidence map›Paper›PMID 36400734›Full record

ArticleBMJ open2022

Social determinants of injury-attributed mortality in Papua New Guinea: new data from the Comprehensive Health and Epidemiological Surveillance System.

Bang Nguyen Pham, Seri Maraga, Lydia Kue, Vinson D Silas, Norah Abori, Ronny Jorry, Tony Okely, William Pomat

Abstract read
In one paragraph

Article in BMJ open, 2022. 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Bang Nguyen PhamPopulation Health and Demography Unit, Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea pnbang2001@yahoo.com.ORCID 0000-0002-8136-4660
Seri MaragaPopulation Health and Demography Unit, Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Lydia KuePopulation Health and Demography Unit, Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Vinson D SilasPopulation Health and Demography Unit, Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Norah AboriPopulation Health and Demography Unit, Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Ronny JorryPopulation Health and Demography Unit, Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
Tony OkelySchool of Health and Society, University of Wollongong, Wollongong, New South Wales, Australia.
William PomatPopulation Health and Demography Unit, Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study reported the prevalence and sociodemographic distribution of mortalities attributed to injuries in Papua New Guinea (PNG).

settingAs part of a longitudinal study, mortality data were collected from the population who live in eight surveillance sites of the Comprehensive Health and Epidemiological Surveillance System, established in six major provinces in PNG. Verbal autopsy (VA) interviews were conducted by the surveillance team with close relatives of the deceased, using the WHO 2016 VA instrument from January 2018 to December 2020. PARTICIPANT AND

interventionMortality data from 926 VA interviews were analysed, using the InterVA-5 diagnostic tool to assign specific cause of death (COD). Distributions of injury-attributed mortality were calculated and multinomial logistic regression analyses were conducted to identify sociodemographic factors and provide ORs, 95% CIs of estimates and p values.

resultInjury-attributed deaths accounted for 13% of the total deaths recorded in the surveillance population, with the highest proportion in Madang (22%), followed by Port Moresby and Central Province (13%). Road traffic accidents were the leading COD, accounting for 43% of the total injury-attributed deaths, followed by assaults (25%) and accidental falls (10%). Young adults (aged 15-24 years) accounted the largest proportion of injury-attributed deaths (34%) and were nearly six times more likely to die from injuries than those aged 75+ years (OR: 5.89 (95% CI: 2.18 to 15.9); p<0.001). Males were twice more likely to die from injuries than females (OR: 2.0 (95% CI: 1.19 to 3.36); p=0.009). Another significant sociodemographic factor associated with the increased injury-attributed mortalities included urban versus rural residence (OR: 2.0 (95% CI: 1.01 to 3.99); p=0.048).

conclusionYoung adults, particularly those who live in urban areas, were at the highest risk of dying from injuries. Public health policies and interventions are needed to reduce premature mortality from injuries in PNG.

Indexed as

Rural PopulationSocial Determinants of HealthCause of DeathFemaleHumansLongitudinal StudiesMalePapua New GuineaYoung AdultACCIDENT & EMERGENCY MEDICINEPREVENTIVE MEDICINEPUBLIC HEALTH

Identifiers

PMID36400734
PMCPMC9677002

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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.