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Skip search results from other journals and go to results- 28 JMIR Research Protocols
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In the context of the Veterans Health Administration (VHA) system, where data on PTSD are available and prevalent, using machine learning or similar statistical techniques to identify PTSD among veterans holds the promise of automating screening efforts, decreasing administrative burden, and identifying veterans whose mental health struggles might otherwise be missed in routine care.
Despite this promise, biases in EHR data may limit the conclusions that they facilitate [9,10].
J Med Internet Res 2025;27:e63352
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To address these unmet needs, we provide the rationale, design, and clinical pilot randomized controlled trial protocol for a novel augmentative peer-delivered, recovery-oriented suicide prevention intervention for veterans with SMI.
Several psychosocial rehabilitation initiatives in the Veterans Health Administration (VHA) have included individuals with lived experience (“peers,” now known as “peer specialists”) to support veterans with a wide range of mental health experiences [7].
JMIR Res Protoc 2025;14:e66182
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Veterans as a group are older than the civilian population, though women, who make up about 11% of VA users, tend to be younger. The largest age group of female VA patients is 35-44 years (22%), while the largest age group of male VA patients is 65-74 years (30%). Overall, 77% of VA patients are White, 18% of them are Black, and 8% of them are Hispanic.
JMIR Form Res 2025;9:e68676
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Veterans were not compensated for their participation.
We invited 1373 veterans to complete a third-round survey. We removed 15 veterans from the denominator because their surveys were undeliverable or they had passed away. A total of 858 (63.2%) veterans returned a survey. We removed 1 veteran with unavailable health condition data from our analytic cohort.
JMIR Form Res 2025;9:e77113
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As women transition from service members to veterans, their risk for health concerns that are female-specific or disproportionately impact women may increase, yet few studies have been conducted with women veterans, and even fewer have focused on their reproductive health [22].
JMIR Form Res 2025;9:e73223
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Veterans who are incarcerated are ineligible for Veterans Affairs (VA) services [10], rendering recidivism a critical issue to address, as it disrupts access to VA services that address substance use, mental illness, and other medical comorbidities, all of which are highly prevalent among veterans with criminal legal involvement, thus resulting in long-term health disparities [9,11-13].
JMIR Res Protoc 2025;14:e70750
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In an effort to manage chronic pain, some veterans become reliant on prescription opioids [8,9], which have numerous unintended health consequences such as increased risk of sleep-disordered breathing, cardiovascular complication, and bowel dysfunction, as well as opioid misuse and overdose [10-13]. In recent years, there has been increased attention on low-risk interdisciplinary treatment options for chronic pain management in the Department of Veterans Affairs (VA) system [14].
JMIR Res Protoc 2025;14:e72091
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This randomized control trial (trial registration: Clinical Trials.gov NCT04969094) will examine the impact of 12 weeks (3 times per week) of NMES + an MMBI versus an MMBI alone on fall risk, balance, mobility, and hip abductor composition and strength in 80 (40/group) older veterans at risk for falls.
JMIR Res Protoc 2025;14:e68082
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However, rural veterans often lack access to support and problem-solving interventions in their communities. Furthermore, when such services are available, they typically are not tailored to the rural sociocultural and educational context, nor are they able to address the specific emotional needs of veterans [19].
Culturally sensitive, tailored interventions that provide support and focus on enhancing problem-solving skills [16] hold considerable promise for increasing uptake in rural veterans with HF.
JMIR Res Protoc 2025;14:e63498
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Anxiety disorders are pervasive among older adults and especially common in older military veterans. These disorders include generalized anxiety disorder (GAD), social anxiety disorder, panic disorder, agoraphobia, and unspecified anxiety disorders [1]. A meta-analytic review estimated that nearly 1 in 10 (9.1%) older military veterans met the criteria for one of these anxiety disorders [2].
JMIR Aging 2024;7:e56959
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