A novel assessment of self-perceptions of recovery from illness and injury in U.S. Navy service members.
Lisa M Hernández, Nikita R Tovey, Anu Venkatesh and 4 others
PMID 42780886WHAT IT FOUND
In 182 Navy aircrew, a 17-item self-report about expected recovery after illness or injury formed four areas: immune, musculoskeletal, physical, and rehabilitation response.
Lower expected recovery tracked more pain, fatigue, stress, mood symptoms, and sleep problems; higher scores tracked resilience and readiness.
Key findings
01The final MIIRS-17 had 17 items and four subscales: immune recovery (6 items), musculoskeletal injury recovery (4 items), physical recovery (4 items), and rehabilitation response (3 items).
02Total recovery scores were higher when resilience and military readiness were higher, and lower when pain, fatigue, occupational stress, depressive symptoms, anxiety symptoms, and sleep disruption were higher.
03In a combined model, eight predictors plus age explained 39.6% of the variation in recovery scores; sleep disruption, resilience, and age were independent contributors.
STILL TO COME
How it was doneWhat they found
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What it does not show
The study was done in active-duty Navy aircrew, not patients, so it does not show how the scale would work in a clinic. The sample was mostly male, so results may not generalize to female service members. The findings may not apply to other military or non-military populations. The rehabilitation response subscale had lower internal consistency than the authors wanted. Predictive validity was not established, so recovery scores cannot yet be used to predict who will recover. Age-related factors not measured could help explain the link between age and recovery.
Declared interests
The study was supported by the Defense Health Agency under work unit no. 62362, and the authors declared financial support for the work.
The easy way to misread this
Do not treat the MIIRS-17 as a validated clinical tool that predicts recovery. It was developed and initially tested in 182 Navy aircrew, not patients, and predictive validity has not yet been established.