Evidence map›Paper›PMID 31167869›Full record

Observational studyBMJ open2019

External injuries, trauma and avoidable deaths in Agincourt, South Africa: a retrospective observational and qualitative study.

Idara J Edem, Anna J Dare, Peter Byass, Lucia D'Ambruoso, Kathleen Kahn, Andy J M Leather, Stephen Tollman, John Whitaker, Justine Davies

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Idara J EdemDepartment of Surgery, Division of Neurosurgery, University of Ottawa, Ottawa, Ontario, Canada.
Anna J DareDepartment of Surgery, University of Toronto, Toronto, Ontario, Canada.
Peter ByassUmeå Centre for Global Health Research, Umea Universitet, Umeå, Sweden.
Lucia D'AmbruosoMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Kathleen KahnMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Andy J M LeatherKing's Centre for Global Health, King's Health Partners and King's College London, London, UK.
Stephen TollmanMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
John WhitakerKing's Centre for Global Health, King's Health Partners and King's College London, London, UK.
Justine DaviesCentre for Applied Health Research, University of Birmingham, Birmingham, UK.

Funding

Medical Research Council MR/N005597/1Medical Research Council MR/P014844/1Wellcome Trust
6 · The paper itself

Abstract

objectiveInjury burden is highest in low-income and middle-income countries. To reduce avoidable deaths, it is necessary to identify health system deficiencies preventing timely, quality care. We developed criteria to use verbal autopsy (VA) data to identify avoidable deaths and associated health system deficiencies.

settingAgincourt, a rural Bushbuckridge municipality, Mpumalanga Province, South Africa.

participantsAgincourt Health and Socio-Demographic Surveillance System and healthcare providers (HCPs) from local hospitals.

methodsA literature review to explore definitions of avoidable deaths after trauma and barriers to access to care using the 'three delays framework' (seeking, reaching and receiving care) was performed. Based on these definitions, this study developed criteria, applicable for use with VA data, for identifying avoidable death and which of the three delays contributed to avoidable deaths. These criteria were then applied retrospectively to the VA-defined category external injury deaths (EIDs-a subset of which are trauma deaths) from 2012 to 2015. The findings were validated by external expert review. Key informant interviews (KIIs) with HCPs were performed to further explore delays to care.

resultsUsing VA data, avoidable death was defined with a focus on survivability, using level of consciousness at the scene and ability to seek care as indicators. Of 260 EIDs (189 trauma deaths), there were 104 (40%) avoidable EIDs and 78 (30%) avoidable trauma deaths (41% of trauma deaths). Delay in receiving care was the largest contributor to avoidable EIDs (61%) and trauma deaths (59%), followed by delay in seeking care (24% and 23%) and in reaching care (15% and 18%). KIIs revealed context-specific factors contributing to the third delay, including difficult referral systems.

conclusionsA substantial proportion of EIDs and trauma deaths were avoidable, mainly occurring due to facility-based delays in care. Interventions, including strengthening referral networks, may substantially reduce trauma deaths.

Indexed as

Patient Acceptance of Health CareQualitative ResearchRural PopulationAdolescentAdultAgedCause of DeathChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedRetrospective Studiesavoidable deathruralSouth Africatraumaverbal autopsy

Identifiers

PMID31167869
PMCPMC6561452

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.