Evidence map›Paper›PMID 31651271›Full record

ArticleBMC public health2019

Injury rate and risk factors among small-scale gold miners in Ghana.

Emmanuel Kweku Nakua, Ellis Owusu-Dabo, Samuel Newton, Adofo Koranteng, Easmon Otupiri, Peter Donkor, Charles Mock

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Examining the burden of unintentional injuries in Ghana: A systematic review and meta-analysis.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025
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  9. Accidents, Injuries, and Safety among Artisanal and Small-Scale Gold Miners in Zimbabwe.International journal of environmental research and public health · 2022
    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 at 2 institutions in 2 countries.

Emmanuel Kweku NakuaSchool of Public Health, Department of Epidemiology and Biostatistics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. emmanngh@gmail.com.ORCID http://orcid.org/0000-0003-2949-1475
Ellis Owusu-DaboSchool of Public Health, Department of Epidemiology and Biostatistics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Samuel NewtonSchool of Public Health, Department of Epidemiology and Biostatistics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Adofo KorantengDepartment of Surgery, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Easmon OtupiriDepartment of Population, Family and Reproductive Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Peter DonkorDepartment of Surgery, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Charles MockUniversity of Washington, Seattle, USA.
Kwame Nkrumah University of Science and Technology · GHUniversity of Washington · US

Funding

Understanding the Effect of Climate Change on Road Safety in GhanaD43TW007267 · FIC · UNIVERSITY OF WASHINGTON · PI Peter Donkor, CHARLES N. MOCK · 2005 to 2026
$5.0M
FIC NIH HHS D43 TW007267FIC NIH HHS D43-TW007267
6 · The paper itself

Abstract

backgroundTo determine the potential risk factors for injury, estimate the annual injury rate and examine the safety perceptions, and use of personal protective equipment among small-scale gold miners in Ghana.

methodsA cross-sectional survey was carried out with 494 small-scale gold miners from four major mining districts in Ghana. A household-based approach was used to obtain a representative sample of miners. The study was conducted from June 2015 to August 2016. A systematic sampling technique was used to select households and recruit respondents to interview. Miners were asked about any mining related injury that they had sustained in the past year. A logistics regression model was employed to examine the association between risk factors and injury. Data were analyzed with STATA version 14.0.

resultsThe annual incidence rate of mining-related injury was 289 per 1000 workers. Injuries were mainly caused by machinery/tools 66(46.1%), followed by slip/falls 46(32.2%). The major risk factor for injury was underground work (adjusted odds ratio for injury 3.19; 95% CI = 1.42-7.20) compared with surface work. Higher education levels were protective, with adjusted odds ratios of 0.48 (95% CI = 0.24-0.99) for middle school education and 0.38 (95% CI 0.17-0.83) for secondary school compared with no schooling. Only 15(3.0%) of miners reported to have had safety training in the past year and 105(21.3%) indicated that there were safety regulations at their work place. A moderate number of workers reported using work boots 178(36.0%) and hand gloves 134(27.1%), but less than 10% of workers used other personal protective equipment.

conclusionThe annual injury incidence rate among small-scale gold miners is high. Potential targets for improving safety include increasing safety training, increasing use of personal protective equipment, and better understanding potential changes that can be made in the machinery and tools used in small-scale mining, which were associated with almost half of all injuries.

Indexed as

GoldMiningAccidental FallsAdolescentAdultCross-Sectional StudiesFemaleGhanaHumansIncidenceMaleMiddle AgedMinersOccupational InjuriesPersonal Protective EquipmentRisk FactorsGoldGoldMiningPersonal protective equipment, injurySafetySmall-scale

Identifiers

PMID31651271
PMCPMC6813958
OpenAlexW2982113443

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.