Literature DB >> 18438200

Do the AHRQ patient safety indicators flag conditions that are present at the time of hospital admission?

Vinita Bahl1, Maureen A Thompson, Tsui-Ying Kau, Hsou Mei Hu, Darrell A Campbell.   

Abstract

OBJECTIVE: The Agency for Healthcare Research and Quality (AHRQ) developed 20 patient safety indicators (PSIs) to identify potentially preventable complications of acute inpatient care based on administrative data. The objective of this patient safety performance study was to assess the impact of cases flagged by each PSI for diagnoses that were actually present on admission on unadjusted PSI rates.
METHODS: The latest AHRQ PSI software, which allows users to produce 14 of the 20 PSIs for adult inpatients both without and with a "present on admission" (PoA) variable, was applied to administrative data for adult patients discharged from the University of Michigan Health System (UMHS) in 2006. The impact of the PoA values on unadjusted PSI rates was evaluated. Because of concerns about the accuracy of PoA values, results were compared with those of a prior analysis at UMHS that was similar but based on a review of medical records.
FINDINGS: Thirteen PSIs had at least 1 case in the numerator. Rates for all but 1 of the 13 were lower using the PoA values and the reduction was statistically significant for 5 PSIs: decubitus ulcer (P < 0.001), foreign body left in (P = 0.033), selected infections due to medical care (P < 0.001), postoperative physiologic and metabolic derangement (P = 0.039), and postoperative pulmonary embolism or deep vein thrombosis (P < 0.001). Results were consistent with those of the analysis of medical records.
CONCLUSIONS: Unadjusted PSI rates at UMHS are substantially overstated, because the PSIs do not differentiate preexisting conditions from complications and therefore include false positive cases. Because of these findings and the lack of a broader study of the validity of the indicators, PSIs should not be used to profile hospital performance.

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Year:  2008        PMID: 18438200     DOI: 10.1097/MLR.0b013e31815f537f

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  19 in total

1.  Using multiple sources of data for surveillance of postoperative venous thromboembolism among surgical patients treated in Department of Veterans Affairs hospitals, 2005-2010.

Authors:  Richard E Nelson; Scott D Grosse; Norman J Waitzman; Junji Lin; Scott L DuVall; Olga Patterson; James Tsai; Nimia Reyes
Journal:  Thromb Res       Date:  2015-01-26       Impact factor: 3.944

2.  Relationship of safety climate and safety performance in hospitals.

Authors:  Sara Singer; Shoutzu Lin; Alyson Falwell; David Gaba; Laurence Baker
Journal:  Health Serv Res       Date:  2008-11-04       Impact factor: 3.402

3.  Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety.

Authors:  V Sundararajan; P S Romano; H Quan; B Burnand; S E Drösler; S Brien; H A Pincus; W A Ghali
Journal:  Int J Qual Health Care       Date:  2015-06-04       Impact factor: 2.038

4.  The impact of electronic medical records data sources on an adverse drug event quality measure.

Authors:  Michael G Kahn; Daksha Ranade
Journal:  J Am Med Inform Assoc       Date:  2010 Mar-Apr       Impact factor: 4.497

5.  Validity and Reliability of Administrative Coded Data for the Identification of Hospital-Acquired Infections: An Updated Systematic Review with Meta-Analysis and Meta-Regression Analysis.

Authors:  Olga Redondo-González; José María Tenías; Ángel Arias; Alfredo J Lucendo
Journal:  Health Serv Res       Date:  2017-04-11       Impact factor: 3.402

6.  Determinants of adverse events in vascular surgery.

Authors:  Tina Hernandez-Boussard; Kathryn M McDonald; John M Morton; Ronald L Dalman; Fritz R Bech
Journal:  J Am Coll Surg       Date:  2012-03-15       Impact factor: 6.113

7.  Establishing standard hospital performance measures for cervical spinal trauma: a Nationwide In-patient Sample study.

Authors:  D J Hoh; M Rahman; K M Fargen; D Neal; B L Hoh
Journal:  Spinal Cord       Date:  2015-10-20       Impact factor: 2.772

8.  Consistency of pressure injury documentation across interfacility transfers.

Authors:  Lee Squitieri; David A Ganz; Carol M Mangione; Jack Needleman; Patrick S Romano; Debra Saliba; Clifford Y Ko; Daniel A Waxman
Journal:  BMJ Qual Saf       Date:  2017-07-28       Impact factor: 7.035

9.  Evaluation of the Present-on-Admission Indicator among Hospitalized Fee-for-Service Medicare Patients with a Pressure Ulcer Diagnosis: Coding Patterns and Impact on Hospital-Acquired Pressure Ulcer Rates.

Authors:  Lee Squitieri; Daniel A Waxman; Carol M Mangione; Debra Saliba; Clifford Y Ko; Jack Needleman; David A Ganz
Journal:  Health Serv Res       Date:  2018-01-25       Impact factor: 3.402

10.  Validity of selected AHRQ patient safety indicators based on VA National Surgical Quality Improvement Program data.

Authors:  Patrick S Romano; Hillary J Mull; Peter E Rivard; Shibei Zhao; William G Henderson; Susan Loveland; Dennis Tsilimingras; Cindy L Christiansen; Amy K Rosen
Journal:  Health Serv Res       Date:  2008-09-17       Impact factor: 3.402

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