- Obesity and Health Practices
- Qualitative Comparative Analysis Research
- Obesity, Physical Activity, Diet
- Health Systems, Economic Evaluations, Quality of Life
- Meta-analysis and systematic reviews
- Health Policy Implementation Science
- Tuberculosis Research and Epidemiology
- Bone health and osteoporosis research
- Evaluation and Performance Assessment
- Bariatric Surgery and Outcomes
- Vitamin D Research Studies
- Delphi Technique in Research
- Primary Care and Health Outcomes
- Estrogen and related hormone effects
- Child and Adolescent Psychosocial and Emotional Development
- Pharmaceutical Practices and Patient Outcomes
- Nutrition and Health in Aging
- Healthcare cost, quality, practices
- Vitamin C and Antioxidants Research
- Diagnosis and treatment of tuberculosis
- Mycobacterium research and diagnosis
- Atrial Fibrillation Management and Outcomes
- Topic Modeling
- Infectious Diseases and Tuberculosis
- Preterm Birth and Chorioamnionitis
RTI International
2016-2025
University of North Carolina at Chapel Hill
2006-2025
Research Triangle Park Foundation
2014-2022
Energy to Power Solution (United States)
2006-2019
Triangle
2019
Office of Patient Care Services
2007-2014
Veterans Health Administration
2007-2014
United States Department of Veterans Affairs
2014
The University of Texas at Arlington
2011
University of Washington
2011
Abstract Data extraction is a crucial, yet labor‐intensive and error‐prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency the data process have fallen short achieving sufficient accuracy usability. With release large language models (LLMs), new possibilities emerged increase The objective this proof‐of‐concept study was assess performance an LLM (Claude 2) in extracting elements from published studies, compared with human as employed...
Over one-third of patients treated in the Veterans Health Administration (VHA) are obese. VHA introduced MOVE! Weight Management Program for 2006 to provide comprehensive weight management services. An evolving, periodic evaluation using RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance) has been conducted gauge success opportunities improvement. Key metrics were identified each dimension. Data compiled over fiscal years (FY) through 2010 from a variety...
Understanding the factors that facilitate implementation of behavioral medicine programs into practice can advance translational science. Often, translation or studies use case study methods with small sample sizes. Methodological approaches systematize findings from these types are needed to improve rigor and field. Qualitative comparative analysis (QCA) is a method analytical approach QCA offers an for rigorously conducting research limited by number cases. We describe methodological...
This paper is part of a series methodological guidance from the Cochrane Rapid Reviews Methods Group. reviews (RRs) use modified systematic review methods to accelerate process while maintaining systematic, transparent and reproducible methods. addresses considerations for rating certainty evidence (COE) in RRs. We recommend full implementation GRADE (Grading Recommendations, Assessment, Development Evaluation) RRs if time resources allow. If or other do not permit GRADE, following...
Abstract Accurate data extraction is a key component of evidence synthesis and critical to valid results. The advent publicly available large language models (LLMs) has generated interest in these tools for created uncertainty about the choice LLM. We compare performance two widely LLMs (Claude 2 GPT‐4) extracting pre‐specified elements from 10 published articles included previously completed systematic review. use prompts full study PDFs outputs browser versions Claude GPT‐4. GPT‐4 required...
Overweight and obesity are increasingly contributing to disease burden among military populations. The purpose of this study was calculate examine the prevalence overweight veteran population. Data were obtained from 2004 Behavioral Risk Factor Surveillance System. (body mass index > or = 25 kg/m2) in veterans 73.3% (SE, 0.4%) for males 53.6% (SE 1.7%) females. Obesity 30 25.3% 21.2% 1.4%) After adjusting sociodemographics health status, no more likely be (odds ratio, 1.05; 95% confidence...