ArticleNursing administration quarterly
The Veterans Affairs's Corporate Data Warehouse: Uses and Implications for Nursing Research and Practice.
Article in Nursing administration quarterly. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
108 citing papers in PubMed.
- Automated Reminders Enhance Mailed Fecal Immunochemical Test Completion Among Veterans: a Randomized Controlled Trial.Journal of general internal medicine · 2024Trial
- Statins, Mortality, and Major Adverse Cardiovascular Events Among US Veterans With Chronic Kidney Disease.JAMA network open · 2023Trial
- A Postcard Primer Prior to Mailed Fecal Immunochemical Test Among Veterans: a Randomized Controlled Trial.Journal of general internal medicine · 2023Trial
- More intensive therapy as more effective treatment for frail patients with multiple myeloma [corrected].Blood advances · 2023Trial
- Automatic medication refills to improve glycaemic control among patients with diabetes and low medication adherence.BMJ open quality · 2023Trial
- Effect of Pharmacogenetic Testing for Statin Myopathy Risk vs Usual Care on Blood Cholesterol: A Randomized Clinical Trial.JAMA network open · 2020Trial
- Optimizing outpatient pharmacologic treatment for veterans with alcohol use disorder using an academic detailing approach for primary care providers in the United States Department of Veterans Affairs: A retrospective quasi-experimental study.Addiction (Abingdon, England) · 2026Article
- Evaluation of Hybrid-Virtual Home Visits for Comprehensive Geriatric Management: A Quality Improvement Project.Journal of general internal medicine · 2026Article
- Gene regulatory network analysis identifies auranofin as an anti-atherosclerotic drug.Nature communications · 2026Article
- Anticholinergic Medication Use in Veterans Affairs Long-Term Care Residents: Clinical Patterns and Opportunities for Deprescribing.Journal of the American Geriatrics Society · 2026Article
- The Effect of Rural Versus Urban Residence on Risk of Unplanned Readmission and Death in Older Veterans Discharged From VA Hospitals.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Observational
- Effect of the Rural Interprofessional Faculty Development Initiative on VHA Clinician Turnover by Level of Program Engagement.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Article
- Sodium-Glucose Cotransporter 2 Inhibitors and Dementia Risk in Patients With Psychiatric Disorders.JAMA network open · 2026Article
- Neutrophil inflammation metrics are associated with the risk of future dementia in large data from NYU Langone Hospitals and the Veterans Health Administration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Social Determinants of Health and 1-Year Buprenorphine Initiation Among Justice-Involved Veterans.JAMA network open · 2026Article
- Qualitative analysis of mental health clinicians' perspectives on external barriers to diagnosing anxiety disorders in the Veterans Health Administration.Psychological services · 2026Article
- Improving classification of myocardial infarction with machine learning in a diverse population.American journal of epidemiology · 2026Article
- Genetic and Social Determinants of Renin-Angiotensin-Aldosterone System Inhibitor-Induced Angioedema: A Precision Medicine Health Equity Study.medRxiv : the preprint server for health sciences · 2026Article
- Comparative Effectiveness of Direct-Acting Antiviral Treatment for Hepatitis C Virus Infection on Depressive Symptoms in Patients With Posttraumatic Stress Disorder.Clinical therapeutics · 2025Article
- A panel of plasma proteins associated with venous thromboembolism in patients with prostate cancer.Cancer biomarkers : section A of Disease markers · 2025Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The Department of Veterans Affairs Veterans Healthcare Administration (VHA) is supported by one of the largest integrated health care information systems in the United States. The VHA's Corporate Data Warehouse (CDW) was developed in 2006 to accommodate the massive amounts of data being generated from more than 20 years of use and to streamline the process of knowledge discovery to application. This article describes the developments in research associated with the VHA's transition into the world of Big Data analytics through CDW utilization. The majority of studies utilizing the CDW also use at least one other data source. The most commonly occurring topics are pharmacy/medications, systems issues, and weight management/obesity. Despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.