Strengthening military and veteran couple relationships: A rapid review of the effectiveness of relationship education for military couples
Bibliographic record
Abstract
Abstract This rapid review examined evidence on the effectiveness of couple relationship education (CRE) in strengthening military couple relationships. It sourced published evaluations of programs adapted for, or delivered to, current or ex‐serving military personnel and their partners within Australia, New Zealand, Canada, the UK and the USA, between January 2010 and June 2024. Relationship outcomes examined include couple relationship satisfaction, quality, strength, stability, communication, interaction, connection, conflict resolution, and prevention of violence. Process evaluation measures were also compared. The quality and overall strength of the evidence (quality, direction and consistency) were reviewed, as were participant characteristics that moderate program effects. Twenty articles were included in the review, reporting on 15 studies of 10 programs. One study was from Australia, and the rest were from the USA. The review confirms the value of providing CRE for military and veteran couples experiencing relationship issues, and as a preventative strategy, to help them better manage the unique demands of military service life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".