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Evaluating the Patient Safety Indicators

How Well Do They Perform on Veterans Health Administration Data

Bibliographic Data

ID9099418
AuthorsAmy K Rosen (0000-0002-7539-7749, Boston University, corresponding author), Peter Rivard, Peter E Rivard (0000-0003-0635-710X, Boston College, corresponding author), Shibei Zhao (0000-0001-5058-3134, Edith Nourse Rogers Memorial Veterans Hospital, corresponding author), Susan Loveland (Boston University, corresponding author), Dennis Tsilimingras (0000-0001-5589-1283, Edith Nourse Rogers Memorial Veterans Hospital, corresponding author), Cindy L Christiansen (Boston University, corresponding author), Anne Elixhauser (Agency for Healthcare Research and Quality), Patrick S Romano (0000-0001-6749-3979, University of California, Davis)
Year2005
Volume43
Issue9
Pages873-884
Publication date2005-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000173561.79742.fb
PMID16116352
OpenAlexW2029945347
LanguageEN
Citations received8
References cited19

BACKGROUND: The Patient Safety Indicators (PSIs), an administrative data-based tool developed by the Agency for Healthcare Research and Quality, are increasingly being used to screen for potential in-hospital patient safety problems. Although the Veterans Health Administration (VA) is a national leader in patient safety, accurate information on the epidemiology of patient safety events in the VA is still unavailable. OBJECTIVES: Our objectives were to: (1) apply the AHRQ PSI software to VA administrative data to identify potential instances of compromised patient safety; (2) determine occurrence rates of PSI events in the VA; and (3) examine the construct validity of the PSIs. METHODS: We examined differences between observed and risk-adjusted PSI rates in the VA, compared VA and non-VA PSI rates, and investigated the construct validity of the PSIs by examining correlations of the PSIs with other outcomes of VA hospitalizations. RESULTS: We identified 11,411 PSI events in the VA nationwide in FY'01. Observed PSI rates per 1000 discharges ranged from 0.007 for "transfusion reaction" to 155.5 for "failure to rescue." There were significant, although small, differences between VA and non-VA risk-adjusted PSI rates. Hospitalizations with PSI events had longer lengths of stay, higher mortality, and higher costs than those without PSI events. CONCLUSIONS: Our results suggest that the PSIs may be useful as a patient safety screening tool in the VA. Our PSI rates were consistent with the national incidence of low rates; however, differences between VA and non-VA rates suggest that inadequate case-mix adjustment may be contributing to these findings

Business · MEDLINE · Political science · Hospital Admissions and Outcomes · Patient Safety and Medication Errors · Sepsis Diagnosis and Treatment

  • Validating the Patient Safety Indicators in the Veterans Health Administration

    Amy K Rosen, Kamal M F Itani et al.•Medical Care•2012

  • Failure-to-Rescue

    Jacob Needleman, Jack Needleman et al.•Medical Care•2007

  • Impact of Diagnosis-Timing Indicators on Measures of Safety, Comorbidity, and Case Mix Groupings From Administrative Data Sources

    James M Naessens, Claudia R Campbell et al.•Medical Care•2007

  • Validity of the Agency for Health Care Research and Quality Patient Safety Indicators and the Centers for Medicare and Medicaid Hospital-acquired Conditions

    Bradford D Winters, Aamir Bharmal et al.•Medical Care•2016

  • Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data

    Danielle A Southern, Bernard Burnand et al.•Medical Care•2017

  • Effects of Resident Duty Hour Reform on Surgical and Procedural Patient Safety Indicators Among Hospitalized Veterans Health Administration and Medicare Patients

    Amy K Rosen, Susan Loveland et al.•Medical Care•2009

  • Tracking Rates of Patient Safety Indicators Over Time

    Amy K Rosen, Shibei Zhao et al.•Medical Care•2006

  • Protocole d’évaluation de la sécurité à domicile (Pesad)

    Open Access•Michèle Hébert, Anne Brasset-Latulippe et al.•Francophonies d Amérique•2010

  • Can Administrative Data Be Used to Compare Postoperative Complication Rates Across Hospitals

    Patrick S Romano, Benjamin K Chan et al.•Medical Care•2002

  • Evaluating Diagnosis-Based Case-Mix Measures

    Amy K Rosen, Susan Loveland et al.•Medical Care•2001

  • Identifying Complications of Care Using Administrative Data

    Lisa I Iezzoni, JENNIFER DALEY et al.•Medical Care•1994

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

  • Screening Inpatient Quality Using Post-Discharge Events

    Lisa I Iezzoni, Yevgenia D Mackiernan et al.•Medical Care•1999

  • Identification of In-Hospital Complications From Claims Data

    Ann G Lawthers, Ellen P McCarthy et al.•Medical Care•2000

  • Agreement Between Administrative Files and Written Medical Records

    T MICHAEL KASHNER•Medical Care•1998

Unique citing works8
Citations per year0,4
Citation span2006 - 2017 (12)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 7

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