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Relationship Factors in Internet-Delivered Psychological Interventions for Veterans Experiencing Postpartum Depression: Qualitative Analysis

Relationship Factors in Internet-Delivered Psychological Interventions for Veterans Experiencing Postpartum Depression: Qualitative Analysis

To address the gap in the literature of participant experiences with IPIs and the conceptualization of alliance in IPIs, this study examined participant-identified program and coach contributions to their experiences of using a human-supported i CBT delivered to veteran women with postpartum depression. The Mom Mood Booster (MMB) program is an empirically supported i CBT intervention [32-34] administered to veteran women in the postpartum period [35] for which support was provided synchronously by telephone.

Cara L Solness, Paul J Holdefer, Ti Hsu, Emily B K Thomas, Michael W O'Hara

JMIR Ment Health 2023;10:e46061

Traumatic Brain Injury Intensive Evaluation and Treatment Program: Protocol for a Partnered Evaluation Initiative Mixed Methods Study

Traumatic Brain Injury Intensive Evaluation and Treatment Program: Protocol for a Partnered Evaluation Initiative Mixed Methods Study

Data collection tools will include veteran and focus group demographic questionnaires (Multimedia Appendix 3), interview and focus group scripts, and a site observation guide and comparison checklist. Qualitative researchers will conduct key informant initial interviews remotely with the program or medical director at each site. These participants will be purposively identified and confirmed by the operational partner.

Jolie N Haun, Risa Nakase-Richardson, Christine Melillo, Jacob Kean, Rachel C Benzinger, Tali Schneider, Mary Jo V Pugh

JMIR Res Protoc 2023;12:e44776

Enhancing Veteran Community Reintegration Research (ENCORE): Protocol for a Mixed Methods and Stakeholder Engagement Project

Enhancing Veteran Community Reintegration Research (ENCORE): Protocol for a Mixed Methods and Stakeholder Engagement Project

Another goal that has received limited attention is the need to measure veteran CR across the life span. Given that veteran CR is often a cyclical process that occurs throughout the lifetime of a veteran, this is an aspect of veteran CR research that requires more attention in coming years [51,57]. Similarly, the effect of veteran CR on society also needs to be studied more, as the CR struggles of veterans may have ripple effects within their communities [58-60].

Karen Besterman-Dahan, Bridget Hahm, Margeaux Chavez, Jacquelyn Heuer, Christine Melillo, Jason Lind, Christina Dillahunt-Aspillaga, Lisa Ottomanelli

JMIR Res Protoc 2023;12:e42029

COVID-19 Outcomes and Genomic Characterization of SARS-CoV-2 Isolated From Veterans in New England States: Retrospective Analysis

COVID-19 Outcomes and Genomic Characterization of SARS-CoV-2 Isolated From Veterans in New England States: Retrospective Analysis

The US veteran population is predominantly male (89%) with an average age of 58 years, compared to the general US population that has a median age of 38.5 years and a gender distribution of 98.2 males to every 100 females [21,22]. Both older age and male sex have been found to be independent predictors of greater disease severity and mortality in COVID-19 infections [8,13,23-26].

Megan Lee, Ya Haddy Sallah, Mary Petrone, Matthew Ringer, Danielle Cosentino, Chantal B F Vogels, Joseph R Fauver, Tara D Alpert, Nathan D Grubaugh, Shaili Gupta

JMIRx Med 2021;2(4):e31503

The Experience of Key Stakeholders During the Implementation and Use of Trauma Therapy via Digital Health for Military, Veteran, and Public Safety Personnel: Qualitative Thematic Analysis

The Experience of Key Stakeholders During the Implementation and Use of Trauma Therapy via Digital Health for Military, Veteran, and Public Safety Personnel: Qualitative Thematic Analysis

Study participants included representatives from the following groups: (1) MMs, PSP, and veterans working in peer-support, health or wellness, or mental health service positions; (2) multidisciplinary mental health service providers; (3) organizational leaders and policy and decision-makers from local, provincial, and federal PSP, military, and veteran organizations; and (4) subject matter experts and researchers (eg, in digital health, mental health, technology, privacy, security, and implementation).

Lorraine Lee Ann Smith-MacDonald, Chelsea Jones, Phillip Sevigny, Allison White, Alexa Laidlaw, Melissa Voth, Cynthia Mikolas, Alexandra Heber, Andrew J Greenshaw, Suzette Brémault-Phillips

JMIR Form Res 2021;5(8):e26369

The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning

The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning

NLP tools have been used extensively in military health research, predominantly in the United States, for the detection of veteran homelessness and clinical diagnosis [16-19]. However, to the best of our knowledge, no tools exist to identify veteran status using either a rule-based or machine learning approach.

Daniel Leightley, David Pernet, Sumithra Velupillai, Robert J Stewart, Katharine M Mark, Elena Opie, Dominic Murphy, Nicola T Fear, Sharon A M Stevelink

JMIR Med Inform 2020;8(5):e15852

Action Ethnography of Community Reintegration for Veterans and Military Service Members With Traumatic Brain Injury: Protocol for a Mixed Methods Study

Action Ethnography of Community Reintegration for Veterans and Military Service Members With Traumatic Brain Injury: Protocol for a Mixed Methods Study

Despite the heightened attention on TBI due to recent conflicts (Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn [OEF/OIF/OND]) and associated deployments, stateside injuries account for the majority of severe TBIs in veteran and military service members [11]. These injuries pose unique challenges to the current generation of veterans returning to prior relationships, living situations, work, and social roles [15,16].

Christine Melillo, Kiersten Downs, Christina Dillahunt-Aspillaga, Jason Lind, Karen Besterman-Dahan, Bridget Hahm, Nicole Antinori, Christine Elnitsky, Angelle M Sander, Heather G Belanger, Peter Toyinbo, Gail Powell-Cope

JMIR Res Protoc 2019;8(11):e14170

Exploring Contactless Vital Signs Collection in Video Telehealth Visits Among Veterans Affairs Providers and Patients: Pilot Usability Study

Exploring Contactless Vital Signs Collection in Video Telehealth Visits Among Veterans Affairs Providers and Patients: Pilot Usability Study

Hence, the objective of this project was to evaluate VA provider and veteran attitudes regarding the usability of, and intent to use, Vitals. Related attitudes of trust, privacy, credibility, personal preference, and practice were explored. Providers and veterans (hereafter “patients”) might voice a range of interests, questions, or concerns regarding Vitals and its potential to support accurate and transparent health information collection, data sharing, and use.

Lynn Garvin, Eric Richardson, Leonie Heyworth, D Keith McInnes

JMIR Form Res 2024;8:e60491

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