Evidence map›Paper›PMID 37386466›Full record

ArticleBMC public health2023

Participatory prioritisation of interventions to improve primary school food environments in Gauteng, South Africa.

Agnes Erzse, Safura Abdool Karim, Teurai Rwafa-Ponela, Petronell Kruger, Karen Hofman, Louise Foley, Tolu Oni, Susan Goldstein

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2023. 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
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  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 at 4 institutions in 2 countries.

Agnes ErzseSAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa. agnes.erzse@wits.ac.za.
Safura Abdool KarimUniversity of KwaZulu-Natal, Durban, South Africa.
Teurai Rwafa-PonelaSAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
Petronell KrugerSAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
Karen HofmanSAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
Louise FoleyMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Tolu OniMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Susan GoldsteinSAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
South African Medical Research Council · ZAMRC Epidemiology Unit · GBUniversity of Cambridge · GBUniversity of KwaZulu-Natal · ZA

Funding

Department of Health GHR:16/137/34
6 · The paper itself

Abstract

backgroundIn South Africa, overweight and obesity affect 17% of children aged 15-18. School food environments play a vital role in children's health, influencing dietary behaviours and resulting in high obesity rates. Interventions targeting schools can contribute to obesity prevention if evidence-based and context-specific. Evidence suggests that current government strategies are inadequate to ensure healthy school food environments. The aim of this study was to identify priority interventions to improve school food environments in urban South Africa using the Behaviour Change Wheel model.

methodsA three-phased iterative study design was implemented. First, we identified contextual drivers of unhealthy school food environments through a secondary framework analysis of 26 interviews with primary school staff. Transcripts were deductively coded in MAXQDA software using the Behaviour Change Wheel and the Theoretical Domains Framework. Second, to identify evidence-based interventions, we utilised the NOURISHING framework and matched interventions to identified drivers. Third, interventions were prioritised using a Delphi survey administered to stakeholders (n = 38). Consensus for priority interventions was defined as an intervention identified as being 'somewhat' or 'very' important and feasible with a high level of agreement (quartile deviation ≤ 0.5).

resultsWe identified 31 unique contextual drivers that school staff perceived to limit or facilitate a healthy school food environment. Intervention mapping yielded 21 interventions to improve school food environments; seven were considered important and feasible. Of these, the top priority interventions were to: 1) "regulate what kinds of foods can be sold at schools", 2) "train school staff through workshops and discussions to improve school food environment", and affix 3) "compulsory, child-friendly warning labels on unhealthy foods".

conclusionPrioritising evidence-based, feasible and important interventions underpinned by behaviour change theories is an important step towards enhanced policy making and resource allocation to tackle South Africa's childhood obesity epidemic effectively.

Indexed as

Pediatric ObesityChildChild HealthFoodHumansSchoolsSouth AfricaBehaviour changeFood environmentPriority settingSchool nutritionSouth AfricaStakeholder engagement

Identifiers

PMID37386466
PMCPMC10308686
OpenAlexW4382632259

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.