Evidence map›Paper›PMID 31068135›Full record

ArticleBMC medical research methodology2019

Veterans Affairs patient database (VAPD 2014-2017): building nationwide granular data for clinical discovery.

Xiao Qing Wang, Brenda M Vincent, Wyndy L Wiitala, Kaitlyn A Luginbill, Elizabeth M Viglianti, Hallie C Prescott, Theodore J Iwashyna

Abstract read
In one paragraph

Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Post-Intensive Care Fragmentation Among Rural Veterans: Transitions Between VA and Community Health Systems.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  3. Article
  4. Article
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  6. Article
  7. Heterogeneity of Benefit from Earlier Time-to-Antibiotics for Sepsis.American journal of respiratory and critical care medicine · 2024
    Observational
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  11. Article
  12. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiao Qing WangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, 2800 Plymouth Road, Building 16, Floor 3, Ann Arbor, MI, 48109, USA. XiaoQing.Wang@va.gov.ORCID 0000-0002-6811-2733
Brenda M VincentCenter for Clinical Management Research, Veterans Affairs Ann Arbor Health System, 2800 Plymouth Road, Building 16, Floor 3, Ann Arbor, MI, 48109, USA.
Wyndy L WiitalaCenter for Clinical Management Research, Veterans Affairs Ann Arbor Health System, 2800 Plymouth Road, Building 16, Floor 3, Ann Arbor, MI, 48109, USA.
Kaitlyn A LuginbillCenter for Clinical Management Research, Veterans Affairs Ann Arbor Health System, 2800 Plymouth Road, Building 16, Floor 3, Ann Arbor, MI, 48109, USA.
Elizabeth M VigliantiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, 2800 Plymouth Road, Building 16, Floor 3, Ann Arbor, MI, 48109, USA.
Hallie C PrescottDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, 2800 Plymouth Road, Building 16, Floor 3, Ann Arbor, MI, 48109, USA.
Theodore J IwashynaDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, 2800 Plymouth Road, Building 16, Floor 3, Ann Arbor, MI, 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo study patient physiology throughout a period of acute hospitalization, we sought to create accessible, standardized nationwide data at the level of the individual patient-facility-day. This methodology paper summarizes the development, organization, and characteristics of the Veterans Affairs Patient Database 2014-2017 (VAPD 2014-2017). The VAPD 2014-2017 contains acute hospitalizations from all parts of the nationwide VA healthcare system with daily physiology including clinical data (labs, vitals, medications, risk scores, etc.), intensive care unit (ICU) indicators, facility, patient, and hospitalization characteristics.

methodsThe VA data structure and database organization represents a complex multi-hospital system. We define a single-site hospitalization as one or more consecutive stays with an acute treating specialty at a single facility. The VAPD 2014-2017 is structured at the patient-facility-day level, where every patient-day in a hospital is a row with separate identification variables for facility, patient, and hospitalization. The VAPD 2014-2017 includes daily laboratory, vital signs, and inpatient medication. Such data were validated and verified through lab value range and comparison with patient charts. Sepsis, risk scores, and organ dysfunction definitions were standardized and calculated.

resultsWe identified 565,242 single-site hospitalizations (SSHs) in 2014; 558,060 SSHs in 2015; 553,961 SSHs in 2016; and 550,236 SSHs in 2017 at 141 VA hospitals. The average length of stay was four days for all study years. In-hospital mortality decreased from 2014 to 2017 (1.7 to 1.4%), 30-day readmission rates increased from 15.3% in 2014 to 15.6% in 2017; 30-day mortality also decreased from 4.4% in 2014 to 4.1% in 2017. From 2014 to 2017, there were 107,512 (4.8%) of SSHs that met the Center for Disease Control and Prevention's Electronic Health Record-based retrospective definition of sepsis.

conclusionThe VAPD 2014-2017 represents a large, standardized collection of granular data from a heterogeneous nationwide healthcare system. It is also a direct resource for studying the evolution of inpatient physiology during both acute and critical illness.

Indexed as

Databases, FactualAgedElectronic Health RecordsFemaleHospitalizationHospital MortalityHospitalsHumansLength of StayMaleMiddle AgedSepsisSeverity of Illness IndexUnited StatesUnited States Department of Veterans AffairsElectronic health recordsHealthcare databaseHospitalization, sepsisLaboratory valuesPatient physiology

Identifiers

PMID31068135
PMCPMC6505066

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Registered trials

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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.