Evaluating the Patient Safety Indicators
How Well Do They Perform on Veterans Health Administration Data
Bibliographic Data
| ID | 9099418 |
|---|---|
| Authors | Amy 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) |
| Year | 2005 |
| Volume | 43 |
| Issue | 9 |
| Pages | 873-884 |
| Publication date | 2005-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/01.mlr.0000173561.79742.fb |
| PMID | 16116352 |
| OpenAlex | W2029945347 |
| Language | EN |
| Citations received | 8 |
| References cited | 19 |
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
Failure-to-Rescue
Impact of Diagnosis-Timing Indicators on Measures of Safety, Comorbidity, and Case Mix Groupings From Administrative Data Sources
Validity of the Agency for Health Care Research and Quality Patient Safety Indicators and the Centers for Medicare and Medicaid Hospital-acquired Conditions
Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data
Effects of Resident Duty Hour Reform on Surgical and Procedural Patient Safety Indicators Among Hospitalized Veterans Health Administration and Medicare Patients
Tracking Rates of Patient Safety Indicators Over Time
Protocole d’évaluation de la sécurité à domicile (Pesad)
Can Administrative Data Be Used to Compare Postoperative Complication Rates Across Hospitals
Evaluating Diagnosis-Based Case-Mix Measures
Identifying Complications of Care Using Administrative Data
Comorbidity Measures for Use with Administrative Data
Screening Inpatient Quality Using Post-Discharge Events
Identification of In-Hospital Complications From Claims Data
Agreement Between Administrative Files and Written Medical Records
| Unique citing works | 8 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2006 - 2017 (12) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 7 |