Evidence map›Paper›PMID 35016650›Full record

ArticleBMC public health2022

Health and wellbeing needs and priorities in mining host communities in South Africa: a mixed-methods approach for identifying key SDG3 targets.

Brian Rice, Delia Boccia, Daniel J Carter, Renay Weiner, Lebohang Letsela, Mariken de Wit, Rebecca Pursell, Michael Jana, Ana Maria Buller, Mitzy Gafos

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Scientometric Analysis of Hiking Tourism and Its Relevance for Wellbeing and Knowledge Management.International journal of environmental research and public health · 2022
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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

10 authors.

Brian RiceLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK. brian.rice@lshtm.ac.uk.
Delia BocciaLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Daniel J CarterLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Renay WeinerResearch and Training for Health and Development, Johannesburg, South Africa.
Lebohang LetselaSoul City Institute for Social Justice, Johannesburg, South Africa.
Mariken de WitLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Rebecca PursellResearch and Training for Health and Development, Johannesburg, South Africa.
Michael JanaSchool of Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Ana Maria BullerLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Mitzy GafosLondon School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global mining industry has an opportunity to mobilize resources to advance progress against the Sustainable Development Goals (SDGs). In 2018, the Anglo-American Group outlined aspirations for mining host communities to meet the SDG3 health targets. To progress from aspiration to action we designed and implemented a mixed-methods approach to attain a deeper understanding of the health and wellbeing priorities within the local context of host communities of fifteen mines in South Africa.

methodsTo identify local needs and priorities relating to SDG3 targets in host communities, stakeholder workshops and key informant interviews were conducted between June and August 2019. A baseline assessment of health data, related to each of the SDG3 targets and indicators and to each host community location, was also conducted. Findings emerging from the qualitative and quantitative baseline assessments were compared to identify the extent to which health issues aligned and health and wellbeing priority areas for action.

resultsA total of 407 people participated in the workshops, and 85 key informants were interviewed. Quantitative data were available at sub-national level for seven of the nine SDG3 targets and eleven of the 21 indicators. Key priority areas for action identified through alignment of the qualitative and quantitative data were maternal mortality (SDG3.1), HIV (SDG3.3.1), tuberculosis (SDG3.3.2), substance abuse (SDG3.5), and road traffic accidents (SDG3.6) We found consistency in the individual, interpersonal, community, societal, and structural factors underlying these priority areas. At a structural level, poor access to quality healthcare was raised at every workshop as a key factor underlying the achievement of all SDG3 targets. Of the five priority areas identified, HIV, TB and substance abuse were found to overlap in the study communities in terms of risk, burden, and underlying factors.

conclusionsWe demonstrate a mixed method approach for identifying local health needs and prioritised SDG3 targets in mining host communities. Consistency in reporting suggests the need for effective, efficient and feasible interventions to address five priority areas. Given the prominent economic role of the mining sector in South Africa, it can play a critical role in implementing programmatic activities that further progress towards achieving the SDG3 targets.

Indexed as

HIV InfectionsTuberculosisHumansMiningSouth AfricaSustainable DevelopmentHIVMixed-methodsRoad traffic accidentsSDGSouth AfricaSubstance abuseTB

Identifiers

PMID35016650
PMCPMC8748523

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.