Evidence map›Paper›PMID 40145622›Full record

ArticleThe Australian journal of rural health2025

Community Warriors: Development and Validation of a Social and Emotional Well-Being Tool for Aboriginal and Torres Strait Islander Children and Youth.

Gustavo Hermes Soares, Pedro Henrique Ribeiro Santiago, Brianna Poirier, Sneha Sethi, Dandara Haag, Madison Cachagee, Emma Flanagan, Yvonne Cadet-James, Joanne Hedges, Lisa Jamieson

Abstract readValidation Study
In one paragraph

Article in The Australian journal of rural health, 2025. 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

10 authors.

Gustavo Hermes SoaresIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0001-6122-4399
Pedro Henrique Ribeiro SantiagoIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.
Brianna PoirierIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.
Sneha SethiIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.
Dandara HaagIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.
Madison CachageeIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.
Emma FlanaganIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.
Yvonne Cadet-JamesResearch, Apunipima Cape York Health Council, Queensland, Australia.
Joanne HedgesIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.
Lisa JamiesonIndigenous Oral Health Unit, Australian Research Centre for Population Oral Health, Adelaide Dental School, the University of Adelaide, Adelaide, South Australia, Australia.

Funding

Medical Research Future Fund MRF2016532
6 · The paper itself

Abstract

objectiveTo develop and validate two age-specific, strength-based measures of social and emotional well-being (SEWB) for Aboriginal and Torres Strait Islander children and youth.

methodsFollowing development of a conceptual framework comprising six domains of SEWB and identification of existing SEWB tools, an iterative process of item refinement took place. Items were assigned to corresponding SEWB domains, and their content validity and face validity were examined. Community-Controlled Health Services provided expert feedback. Statistical analyses were conducted to assess floor and ceiling effects, item redundancy, network structure, item stability, model fit and reliability. An ant colony optimisation (ACO) algorithm was employed to identify a reduced number of items with adequate model fit.

designData on SEWB were generated as part of the baseline assessment for a national study involving Aboriginal and Torres Strait Islander Communities.

setting11 Aboriginal and Torres Strait Islander Communities from six states and territories.

participantsAboriginal and Torres Strait Islander children and youth aged 2-18 years.

main outcome measuresNetwork structure, item stability, model fit and reliability and reduced scales.

resultsDifferent sets of items were developed to accommodate the needs of different age groups. A total of 235 participants and 162 guardians answered the self-report and the carer-report tool, respectively. A unidimensional structure was identified for both scales. Adequate item stability, model fit and reliability were obtained.

conclusionsThe short versions of the SEWB tools offer a friendly, age-appropriate and time-efficient approach while capturing all relevant domains of SEWB.

Indexed as

AdolescentAustraliaAustralian Aboriginal and Torres Strait Islander PeoplesChildChild, PreschoolFemaleHealth Services, IndigenousHumansMalePsychometricsReproducibility of ResultsSurveys and Questionnairesindigenous healthmental healthnetwork analysispsychometric validationrural health

Identifiers

PMID40145622
PMCPMC11948446

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LicenceCC BY-NC
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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.