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Record W4383227956 · doi:10.1136/bmjopen-2023-072202

Enabling dads and improving First Nations adolescent mental health: a pragmatic randomised controlled study

2023· article· en· W4383227956 on OpenAlexaboutno aff
Lyndon Reilly, Mick Adams, Byron Diamond, Preston Deemal, J. Diamond, Craig Koometra, Derrick Silove, Susan Rees

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research Council
KeywordsMental healthMedicineEmpowermentIndigenousIntervention (counseling)PsychiatryPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: There are few empirically supported social and emotional well-being programmes for First Nations adolescents, and we found none targeting those living in Aboriginal communities in remote areas of Australia. The dearth of social and emotional well-being programmes is concerning given that adolescents in remote Australia are at much greater risk of mental disorder and suicide. Our pragmatic community-based research intervention 'Enabling Dads and Improving First Nations Adolescent Mental Health' is designed by and for First Nations people living in remote communities to promote and support the parenting role and examine the interconnection between men's parenting knowledge and adolescent mental health. The aim is to improve adolescent mental health by strengthening the participating father's empowerment, parenting confidence and engagement in the parenting role. The words Aboriginal, First Nation and Indigenous are applied interchangeably, as appropriate, throughout the article. METHODS AND ANALYSIS: The intervention is currently being conducted in five remote First Nations communities in Far North Queensland, Australia. The project is funded by the Medical Research Future (MRFF UNSW RG200484), and staff recruitment and training began in early December 2020. The aim is to recruit 100 men and dyad adolescents, that is, in each of the five community sites, we will recruit 20 men and adolescent dyads at baseline. To date, we have complete data collection in one community, and fieldwork will begin in the final community in September 2023.The intervention involves a pragmatic randomised controlled trial, using a novel and culturally designed and manualised parenting programme with men (Strong Fathers, SF). The comparison group is receiving a culturally congruent and familiar yarning/relaxation (YR) condition. The SF component focuses on reinforcing knowledge related to parenting adolescents, promoting father's empowerment, and increasing their confidence and engagement with the adolescent. The second component systematically measures and examines differences in adolescent social and emotional well-being before and after their father's involvement in either the SF or YR. The adolescent is blind to the father's group allocation. The outcome measures for the men include parenting knowledge, attitudes and beliefs; a First Nations measure for empowerment; the Harvard Trauma Questionnaire (Indigenous) used to assess post-traumatic stress disorder symptoms; and alcohol use. The adolescent mental health outcomes are measured by a culturally congruent social and emotional well-being measure. ETHICS AND DISSEMINATION: Ethics approval was granted from the Aboriginal Health and Medical Research Council of Australia: Human Research Ethics Committee (1711/20). Results will be verbally shared at community meetings and conferences, and reports will be produced for community stakeholder use. Data will be available for community-controlled health services and stakeholders. Findings will also be published in peer-reviewed journals, and summaries will be provided to the funders of the study as well as male participants and adolescents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0130.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.406
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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