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Record W2982506439 · doi:10.1186/s12888-019-2287-0

A group randomized control trial to test the efficacy of the Road to Mental Readiness (R2MR) program among Canadian military recruits

2019· article· en· W2982506439 on OpenAlexafffundabout
Deniz Fikretoglu, Aihua Liu, Anthony Nazarov, Kristen Blackler

Bibliographic record

VenueBMC Psychiatry · 2019
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsSt Joseph's Health CareParkwood InstituteMcGill UniversityWestern UniversityDefence Research and Development Canada
FundersCanadian Armed Forces
KeywordsMental healthRandomized controlled trialPsychological interventionFidelityIntervention (counseling)PsychologyMilitary personnelPsychological resilienceTest (biology)MedicineClinical psychologyPsychiatrySocial psychology

Abstract

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BACKGROUND: Despite increased interest in workplace mental health interventions, the evidence for beneficial effects is mixed. Furthermore, many existing studies lack methodological rigor. We report results from a group randomized control trial to test the efficacy of a vastly popular intervention in Canada, the Road to Mental Readiness (R2MR) program, which has been widely disseminated in military, first responder, and civilian settings. METHODS: The trial took place among Canadian Armed Forces military recruits completing their basic military qualification (BMQ) training, and randomized 65 platoons (N = 2831) into either (a) an Intervention (R2MR at week 2 of BMQ), or (b) a delayed Intervention Control (R2MR at week 9 of BMQ) condition. The principal investigator, participants, and data collection staff were blinded to platoon condition. Individual-level psychological functioning, resilience, mental health service use attitudes, intentions, and behaviours, and additional covariates were assessed with questionnaires around week 2 (a day or two before Intervention platoons received R2MR), at week 5, and at week 9 (a day or two before the Control platoons received R2MR). Military performance outcomes were obtained from administrative databases. RESULTS: The full trial results were mixed; for some outcomes (psychological functioning, resilience, and military performance), we saw no evidence of beneficial effects; where we did see benefits (mental health service use attitudes, intentions, behaviours), the effects were very small, or disappeared over time. Analyses among two subsamples (Group 1: Intervention platoons with a Fidelity Check and their Controls, and Group 2: Intervention platoons without Fidelity Check and their Controls) indicated that for some outcomes (attitudes and help-seeking), under high fidelity conditions, the beneficial effects of R2MR were increased and better sustained; Conversely, under poor fidelity conditions, decreased beneficial effects or even iatrogenic effects were observed. Analyses across three training divisions indicated the larger organizational climate further influences efficacy. CONCLUSIONS: Our findings paint a very complex picture in which it is made evident that sensible, evidence-informed workplace mental health interventions such as R2MR may work under high fidelity conditions, but may yield no discernable benefit or even inadvertent iatrogenic effects if implemented poorly or without sufficient consideration to the larger organizational context. TRIAL REGISTRATION: ISRCTN 52557050 Registered 13 October 2016.

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)0.003
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.029
GPT teacher head0.346
Teacher spread0.317 · 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

Citations56
Published2019
Admission routes3
Has abstractyes

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