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Veterans

Persons who have served in the armed forces of a country, such as the United States.
Veterans may have unique health and research needs, including navigating complex medical literature and finding optimal research protocols.
PubCompare.ai's AI-driven tool can simplify this process, helping veterans locate the best protocols from published works, pre-prints, and patents, and leveraging AI comparisons to increase reproducibility and accuracy.
This can streamline the research process and help veterans find the solutions that best meet their specific requirements.

Most cited protocols related to «Veterans»

Sample 1 consisted of 167 veterans recruited at a VA Healthcare System for a study designed to validate both the PTSD Checklist for DSM–5 (PCL-5; Weathers, et al., 2013 ) and the CAPS-5 (Weathers, Blake, et al., 2013 ). A subset of these data was used previously to validate the PCL-5 (Bovin et al., 2016 (link)). This study followed the second version of the Quality Assessment of Diagnostic Accuracy Studies guidelines (QUADAS-2; Whiting et al., 2011 (link)), which minimizes the influence of various sources of bias that can affect diagnostic utility studies (see Bovin et al., 2016 (link)). This study was open to all veterans who were aged 18 or older who could read written materials in English. Potential participants were screened for trauma exposure and PTSD symptoms with the Brief Trauma Questionnaire (Schnurr et al., 2002 ) and Primary Care PTSD Screen (PC-PTSD; Prins et al., 2003 ), administered during an initial phone contact with a trained research assistant. Individuals who reported experiencing at least one PTSD Criterion A event and at least one PTSD symptom in the last 30 days were included in this study. The requirement of at least one PTSD symptom was applied to minimize restriction of range in scores on the CAPS-5 and other PTSD measures.
Participants for Sample 1 were recruited into one of three phases: Phase 1 (n = 31), Phase 2 (n = 61), and Phase 3 (n = 75). In Phase 1, CAPS-IV versus CAPS-5 comparisons were based on 30 participants with complete data (original interviewer’s ratings) for both interviews; one participant was excluded because he did not complete the CAPS-IV. Interrater reliability analyses were based on 27 participants for CAPS-IV and 28 for CAPS-5 for whom audio recorded interviews were available. For all Phase 1 participants, the index event for symptom inquiry met Criterion A for both DSM–IV and DSM–5 PTSD criteria. In Phase 2, test–retest analyses were based on 60 participants with complete data for both administrations of the CAPS-5; one participant was excluded because he did not complete the CAPS-5.
Participants from Phases 1 through 3 were combined for internal consistency and convergent and discriminant validity analyses. Two participants in Phase 3 did not complete the CAPS-5 and were excluded from all subsequent analyses. Thus, the combined sample for these analyses was 165, including 31 from Phase 1, 61 from Phase 2, and 73 from Phase 3 (see Table 1).
Sample 2 consisted of 207 male veterans who completed the baseline assessment of an ongoing clinical trial (Sloan, Unger, & Gayle Beck, 2016 (link)). Eligible veterans were invited to complete an initial assessment (see Sloan et al., 2016 (link) for a detailed overview of study procedures). The only inclusion criteria for the present study were being a male veteran with an index event that met DSM–5 Criterion A, and self-identifying as being appropriate for a PTSD treatment study. See Table 1 for characteristics of the sample.
Publication 2017
Diagnosis Interviewers Males Post-Traumatic Stress Disorder Primary Health Care Primed In Situ Labeling Tests, Diagnostic Veterans Wounds and Injuries

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Publication 2019
Medical Devices Muscle Rigidity Operative Surgical Procedures Patients Pharmaceutical Preparations Population Health Reliance resin cement Social Group Veterans Woman

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Publication 2015
Electroencephalography Lung Malignant Neoplasms Veterans X-Rays, Diagnostic
We are all white, cisgender women. We are researchers embedded within and employed by the United States (US) Veterans Health Administration (VHA), the largest integrated healthcare system in the USA. The VHA has over 1000 medical centers, community-based outpatient clinics, and other entities, and serves 9.6 million enrolled US military Veterans. LJD and JCL were developers of the original CFIR. JCL has worked in implementation science in the VHA’s Quality Enhancement Research Initiative (QUERI) program since 2006 and has a Health Services Organization and Policy doctoral degree. LJD worked in management consulting for 20 years prior to joining the VHA and has two master’s degrees (biometrics and public health); she joined the VHA QUERI program in 2007. CMR is a qualitative analyst with 10 years of experience using the CFIR to collect, analyze, and interpret qualitative data from implementation evaluations. MOW is a Limited License Master’s Social Worker (LLMSW) and a research associate. Although LJD and CMR have consulted on dozens of projects outside the VHA and trained hundreds of CFIR users, most have been in US healthcare settings.
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Publication 2022
Military Personnel Physicians Veterans Wellness Programs Woman Worker, Social

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Publication 2009
Diagnosis Ethics Committees, Research Freezing Gene Chips Genome Genome, Human Homo sapiens Hospital Administration isolation Joints Malignant Neoplasms Mus Nitrogen Tissues Veterans

Most recents protocols related to «Veterans»

Using Microsoft Excel (Microsoft Corp), data management, coding, and analysis were conducted by 4 team members in a multistep rapid content analysis process [27 (link)]. First, a data-coding matrix template was created. The matrix columns followed questions posed in the interview and represented larger domains (eg, benefits and barriers). The interviewers populated the coding matrix with relevant data to incorporate subcodes. Analysts then consolidated the codes to larger categories that shared similar subdomains, drafted the summaries of each category, and provided supporting quotes from the transcript. Data were cross-checked for consistency, accuracy, and reflexivity. To comply with the measures of trustworthiness and rigor of the analysis, the qualitative team met regularly to discuss modifications by adding or removing domain and subdomain categories.
In addition to rapid content analysis, a journey mapping method was chosen to depict veterans’ and delegates’ experiences with the VDT registration process [28 (link)]. The journey mapping process identifies various touchpoints in the VDT registration process and interaction with the system that could affect users’ satisfaction and likelihood of use. Given the interaction and reflection required in this final data collection, the participants provided feedback as data collection and understanding evolved. The analysis aimed to identify shared experiences reported by the participants.
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Publication 2023
Interviewers Muscle Rigidity Reflex Satisfaction Veterans
This prospective descriptive qualitative study used an HCD framework, with semistructured interviews and user testing, to explore VDT veterans’ perceptions about the benefits of, facilitators of, and barriers to using VDT as well as to examine their practical experiences using VDT. These methods were part of a larger enterprise-wide effort to roll out VDT across the VHA system of care to allow care partners authorized access to My HealtheVet to comanage veterans’ health care.
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Publication 2023
Veterans
Recruitment for the semistructured interviews was conducted using purposive and snowball sampling at a large Veterans Affairs hospital in the Southeast United States. Veterans and their care partners were identified from the following sources: (1) on-site in services conducted with primary care teams, (2) web-based in services, (3) direct staff referrals, and (4) internal tracking of the report of current registrants. Potential participants were approached via phone. A subsample of the interview participants were asked to participate in the subsequent user testing phase. A subsample of three agreed to participate in user testing. One health care staff became aware of the project and volunteered to be part of the user testing for a staff perspective.
Inclusion criteria included veterans who were aged ≥18 years, who were registered My HealtheVet users, who had no cognitive impairment that prevented the use of a PC or the ability to engage in project activities, and who reported having a caregiver who assisted them with health care management. Inclusion criteria for care partners included those aged ≥18 years, who had no cognitive impairment that prevented the use of a PC or the ability to engage in project activities, and who reported providing caregiving assistance.
On the basis of qualitative sampling methods, saturation was anticipated to occur between 12 and 15 interviews for each VDT user type (ie, veteran and care partner) [22 ]. An overrecruitment strategy was used to allow for attrition. Up to 25 individuals representing each user type were recruited to ensure saturation across domains.
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Publication 2023
Disorders, Cognitive Health Services Administration Primary Health Care Tooth Attrition Veterans
Our data collection and analysis team is composed of a diverse group of evaluators. TS holds a Doctor of Philosophy degree in educational measurement, evaluation, and research methods. MMM is a registered occupational therapist and holds a Doctor of Philosophy degree. SAK holds a Master of Science degree in nursing education and is a registered nurse. EJB holds a Master of Public Health degree in epidemiology. Keith White holds a medical doctorate. All were employed as health scientists at the time of data collection and analysis. All receive ongoing routine training in qualitative data collection and analyses through their research department and larger system trainings. KW is male. All other team members are female.
Given our recruitment sample, we did not have established relationships with the participants before project commencement. The participants were informed that the purpose of this project was to understand VDT user experiences for process improvement. The information that 2 team members (MMM and SAK) are veterans was shared with the participants and considered while performing analyses.
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Publication 2023
Education, Nursing Educational Measurement Females Males Occupational Therapist Physicians Registered Nurse Training Programs Veterans

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Publication 2023
BLOOD Blood Platelets Centrifugation, Density Gradient Donors Ethics Committees, Research Gel Chromatography HEPES Homo sapiens Immunoglobulins Mice, Laboratory Platelet Activation Saline Solution SELP protein, human Thrombin Veins Veterans

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More about "Veterans"

Serving Those Who Served: Empowering Veterans in Research and Healthcare Veterans, those who have proudly served their country in the armed forces, often face unique health and research challenges.
From navigating complex medical literature to finding optimal research protocols, the process can be daunting.
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By searching through a vast database of published works, pre-prints, and patents, the tool can help veterans locate the most relevant and effective research protocols.
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For veterans conducting research, this can be a game-changer.
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By empowering veterans with access to the latest research and cutting-edge technologies, PubCompare.ai is transforming the way veterans approach their research and healthcare needs.
With its user-friendly interface and seamless integration of key terms and abbreviations, the platform ensures a smooth and efficient research experience, enabling veterans to focus on finding the solutions that truly matter.
So, if you're a veteran navigating the complex world of research and healthcare, discover how PubCompare.ai can simplify your journey and help you unlock the insights you need to thrive.