ArticleHIV medicine2019
Validation of HIV-infected cohort identification using automated clinical data in the Department of Veterans Affairs.
Article in HIV medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Demographic and Mental Health Predictors of HIV Care Outcomes Among Women Veterans.AIDS and behavior · 2026Article
- A Multilevel Analysis of HIV Care Outcomes Across Age, Race, and Housing Among United States Women Veterans.Healthcare (Basel, Switzerland) · 2026Article
- Telemental Healthcare and HIV Care: A National Study of US Veterans with HIV during COVID-19.AIDS and behavior · 2026Article
- Evaluation of Anal Cancer Screening Practices Among a National Cohort of Veterans With HIV.Diseases of the colon and rectum · 2025Article
- Impact of HIV status on overall survival in head and neck cancers by anatomical site and stage: A multi-center cohort study.Oral oncology · 2025Article
- Social needs and hospital readmission in persons living with HIV.Scientific reports · 2025Article
- National Analysis of More Than 48,000 Veterans With HIV Demonstrates CD4/CD8 Ratio as a Risk Marker for Anal Intraepithelial Lesions and Anal Cancer.Diseases of the colon and rectum · 2025Article
- Rural Veterans with HIV and Alcohol Use Disorder receive less video telehealth than urban Veterans.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024Article
- Validation of human immunodeficiency virus diagnosis codes among women enrollees of a U.S. health plan.BMC health services research · 2024Article
- HIV Prevalence and HIV Screening History Among a Veterans Association Cohort of People with Opioid and Alcohol Use Disorders.Journal of general internal medicine · 2024Article
- Automated HIV Case Identification from the MIMIC-IV Database.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Area deprivation index and segregation on the risk of HIV: a U.S. Veteran case-control study.Lancet regional health. Americas · 2023Article
- Risk and incidence of head and neck cancers in veterans living with HIV and matched HIV-negative veterans.Cancer · 2022Article
- Antimicrobial Resistance and Mortality in Hospitalized Patients with Bacteremia in the Greater Paris Area from 2016 to 2019.Clinical epidemiology · 2022Article
- A Phenotyping Algorithm to Identify People With HIV in Electronic Health Record Data (HIV-Phen): Development and Evaluation Study.JMIR formative research · 2021Article
- Article
- Antihypertensive Class and Cardiovascular Outcomes in Patients With HIV and Hypertension.Hypertension (Dallas, Tex. : 1979) · 2021Article
- Veteran Women Living With Human Immunodeficiency Virus Have Increased Risk of Human Papillomavirus (HPV)-Associated Genital Tract Cancers.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Article
- Incidence and survival for oropharynx and non-oropharynx head and neck cancers among veterans living with HIV.Cancer medicine · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectivesThe US Department of Veterans Affairs (VA) is the largest integrated health care provider for HIV-infected patients in the USA. VA data for HIV-specific clinical and quality improvement research are an important resource. We sought to determine the accuracy of using the VA Corporate Data Warehouse (CDW), a fully automated medical records database for all VA users nationally, to identify HIV-infected patients compared with a gold-standard VA HIV Clinical Case Registry (CCR).
methodsWe assessed the test performance characteristics of each of our CDW criteria-based algorithms (presence of one, two or all of the following: diagnostic codes for HIV, positive HIV laboratory tests, and prescription for HIV medication) by calculating their sensitivity (proportion of HIV-positive patients in the CCR accurately detected as HIV-positive by the CDW algorithm) and positive predictive value (PPV; the proportion of patients identified by the CDW algorithm who were classified as HIV-positive from the CCR).
resultsWe found that using a CDW algorithm requiring two of three HIV diagnostic criteria yielded the highest sensitivity (95.2%) with very little trade-off in PPV (93.5%).
conclusionsA two diagnostic criteria-based algorithm can be utilized to accurately identify HIV-infected cohorts seen in the nationwide VA health care system.
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