Evidence map›Paper›PMID 42534038›Full record

ArticleJournal of military, veteran and family health2025

Initial efforts to enhance the R2MR Mental Health Continuum Model.

Valerie M Wood, Suzanne Bailey, Kimberly Guest

Abstract read
In one paragraph

Article in Journal of military, veteran and family health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Valerie M WoodCanadian Forces Health Services, Directorate of Mental Health, Department of National Defence, Ottawa, Ontario, Canada.ORCID 0000-0002-4036-287X
Suzanne BaileyCanadian Forces Health Services, Directorate of Mental Health, Department of National Defence, Ottawa, Ontario, Canada.
Kimberly GuestCanadian Forces Health Services, Directorate of Mental Health, Department of National Defence, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Road to Mental Readiness (R2MR) Mental Health Continuum Model (MHCM) is a mental health self-monitoring tool that allows individuals to self-map their mental health status on six domains using descriptors ranging in severity from healthy to reacting, injured, ill. The goals were to improve the validity of this tool by adding sub-domain descriptors from each domain (Study 1) and assessing whether the addition of these sub-domain descriptors to the domain descriptors resulted in more accurate self-mapping along the MHCM (Study 2). Methods: In Study 1, 159 Regular Force members completed a matching task in which they were presented with descriptors and asked to select the MHCM anchor that each belonged to. In Study 2, 274 Regular Force members completed several validated scales and mapped themselves on the MHCM using the descriptors selected in Study 1. Results: In Study 1, subsets of sub-domain descriptors were selected that optimized the accuracy mapping scores for all domains and most anchor categories. In Study 2, the addition of sub-domain descriptors enhanced the validity of the MHCM tool for all domains and was associated with the highest correlations with validated scales; most coefficients exceeded concurrent validity thresholds. Discussion: These findings provide initial support for the enhanced validity of a MHCM tool that should allow military members to better identify changes in their mental health status.

Indexed as

mental healthmilitary membersmobile applicationsresilienceself-assessment

Identifiers

PMID42534038
PMCPMC13293186

What OpenQuestion holds

Textmetadata
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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.