Health measurement instruments and their applicability to military veterans: a systematic review
Bibliographic record
Abstract
INTRODUCTION: Accurate measurement of health status is essential to assess veterans' needs and the effects of interventions directed at improving veterans' well-being. We conducted a systematic review to identify instruments that measure subjective health status, considering four components (ie, physical, mental, social or spiritual well-being). METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we searched CINAHL, MEDLINE, Embase, PsycINFO, Web of Science, JSTOR, ERIC, Social Sciences Abstracts and ProQuest in June 2021 for studies reporting on the development or evaluation of instruments measuring subjective health among outpatient populations. We assessed risk of bias with the Consensus-based Standards for the Selection of Health Measurement Instruments tool and engaged three veteran partners to independently assess the clarity and applicability of identified instruments. RESULTS: Of 5863 abstracts screened, we identified 45 eligible articles that reported health-related instruments in the following categories: general health (n=19), mental health (n=7), physical health (n=8), social health (n=3) and spiritual health (n=8). We found evidence for adequate internal consistency for 39 instruments (87%) and good test-retest reliability for 24 (53%) instruments. Of these, our veteran partners identified five instruments for the measurement of subjective health (Military to Civilian Questionnaire (M2C-Q), Veterans RAND 36-Item Health Survey (VR-36), Short Form 36, Abbreviated World Health Organization Quality of Life questionnaire (WHOQOL-BREF) and Sleep Health Scale) as clear and very applicable to veterans. Of the two instruments developed and validated among veterans, the 16-item M2C-Q considered most components of health (mental, social and spiritual). Of the three instruments not validated among veterans, only the 26-item WHOQOL-BREF considered all four components of health. CONCLUSION: We identified 45 health measurement instruments of which, among those reporting adequate psychometric properties and endorsed by our veteran partners, 2 instruments showed the most promise for measurement of subjective health. The M2C-Q, which requires augmentation to capture physical health (eg, the physical component score of the VR-36), and the WHOQOL-BREF, which requires validation among veterans.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".