ArticleHealth services & outcomes research methodology2018
Using Veterans Affairs Corporate Data Warehouse to identify 30-day hospital readmissions.
Article in Health services & outcomes research methodology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
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- Do discharge delays explain longer stays at veterans health administration hospitals?BMC health services research · 2025Article
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- Potentially Inappropriate Medications, Frailty, and Outcomes in Patients With Cancer Managed in a National Health Care System.Journal of the National Comprehensive Cancer Network : JNCCN · 2025Article
- Standard vs. enhanced implementation strategies to increase adoption of a multidrug-resistant organism alert tool: a cluster randomized trial.Frontiers in health services · 2025Article
- Heterogeneity of Benefit from Earlier Time-to-Antibiotics for Sepsis.American journal of respiratory and critical care medicine · 2024Observational
- Impact of Reducing Time-to-Antibiotics on Sepsis Mortality, Antibiotic Use, and Adverse Events.Annals of the American Thoracic Society · 2024Article
- Association Between Hypnotic Use and All-Cause Mortality in Patients with Chronic Obstructive Pulmonary Disease and Insomnia.International journal of chronic obstructive pulmonary disease · 2023Article
- Blood count derangements after sepsis and association with post-hospital outcomes.Frontiers in immunology · 2023Article
- Hospital Readmissions Among Veterans Within 90 Days of Discharge Following Initial Hospitalization for COVID-19.Preventing chronic disease · 2022Article
- Perioperative Management of Buprenorphine/Naloxone in a Large, National Health Care System: a Retrospective Cohort Study.Journal of general internal medicine · 2022Article
- Temporal Trends in Antimicrobial Prescribing During Hospitalization for Potential Infection and Sepsis.JAMA internal medicine · 2022Observational
- Prognostic value of the veterans affairs frailty index in older patients with non-small cell lung cancer.Cancer medicine · 2022Article
- Burdens of post-acute sequelae of COVID-19 by severity of acute infection, demographics and health status.Nature communications · 2021Article
- Factors Associated With Hospitalization and Death After COVID-19 Diagnosis Among Patients With Rheumatic Disease: An Analysis of Veterans Affairs Data.ACR open rheumatology · 2021Article
- Article
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Authors and funding
5 authors.
Funding
Abstract
Hospital readmission is a key metric of hospital quality, such as for comparing Veterans Affairs (VA) hospitals to private sector hospitals. To calculate readmission rates, one must first identify individual hospitalizations. However, in the VA Corporate Data Warehouse (CDW), data are organized by "bedded stays," that is, any stay in a healthcare facility where a patient is provided a bed, not hospitalizations. Thus, CDW data poses several challenges to identifying hospitalizations including: (1) bedded stays include both non-acute inpatient stays (i.e. nursing home, mental health) and acute inpatient hospital care; (2) transfers between VA facilities appear as separate bedded stays; and (3) VA care may also be fragmented by non-VA care. Thus, we sought to develop a rigorous method to identify acute hospitalizations using the VA CDW. We examined all VA bedded stays with an admission date in 2009. Non-acute portions of a stay were dropped. VA to VA transfers were merged when consecutive discharge and admission dates were within one calendar day. Finally, hospitalizations that occurred in a non-VA facility were merged. The 30-day readmission rate was calculated at each step of the algorithm to demonstrate the impact. The total number of VA medical hospitalizations in 2009 with live discharges was 505,861. The 30-day readmission rate after adjusting for VA to VA transfers and incorporating non-VA care was 18.3% (95% confidence interval (CI): 18.2, 18.4%).
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