Literature DB >> 14645897

Administrative data based patient safety research: a critical review.

C Zhan1, M R Miller.   

Abstract

Administrative data are readily available, inexpensive, computer readable, and cover large populations. Despite coding irregularities and limited clinical details, administrative data supplemented by tools such as the Agency for Healthcare Research and Quality (AHRQ) patient safety indicators (PSIs) could serve as a screen for potential patient safety problems that merit further investigation, offer valuable insights into adverse impacts and risks of medical errors and, to some extent, provide benchmarks for tracking progress in patient safety efforts at local, state, or national levels.

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Year:  2003        PMID: 14645897      PMCID: PMC1765777          DOI: 10.1136/qhc.12.suppl_2.ii58

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  38 in total

1.  Clinical versus administrative data bases for CABG surgery. Does it matter?

Authors:  E L Hannan; H Kilburn; M L Lindsey; R Lewis
Journal:  Med Care       Date:  1992-10       Impact factor: 2.983

2.  A method for screening the quality of hospital care using administrative data: preliminary validation results.

Authors:  L I Iezzoni; S M Foley; T Heeren; J Daley; C C Duncan; E S Fisher; J Hughes
Journal:  QRB Qual Rev Bull       Date:  1992-11

3.  Measuring hospital performance. The development and validation of risk-adjusted indexes of mortality, readmissions, and complications.

Authors:  S I DesHarnais; L F McMahon; R T Wroblewski; A J Hogan
Journal:  Med Care       Date:  1990-12       Impact factor: 2.983

4.  Outcomes and quality assurance: facilitating the use of administrative data.

Authors:  L L Roos; R Brazauskas
Journal:  Qual Assur Health Care       Date:  1990

5.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

6.  Quality screening and management using claims data in a managed care setting.

Authors:  S Leatherman; E Peterson; L Heinen; L Quam
Journal:  QRB Qual Rev Bull       Date:  1991-11

7.  Accuracy of diagnostic coding for Medicare patients under the prospective-payment system.

Authors:  D C Hsia; W M Krushat; A B Fagan; J A Tebbutt; R P Kusserow
Journal:  N Engl J Med       Date:  1988-02-11       Impact factor: 91.245

8.  Medicare beneficiaries: adverse outcomes after hospitalization for eight procedures.

Authors:  G Riley; J Lubitz; M Gornick; R Mentnech; P Eggers; M McBean
Journal:  Med Care       Date:  1993-10       Impact factor: 2.983

9.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives.

Authors:  P S Romano; L L Roos; J G Jollis
Journal:  J Clin Epidemiol       Date:  1993-10       Impact factor: 6.437

10.  DRG creep: a new hospital-acquired disease.

Authors:  D W Simborg
Journal:  N Engl J Med       Date:  1981-06-25       Impact factor: 91.245

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  90 in total

1.  The sensitivity of adverse event cost estimates to diagnostic coding error.

Authors:  Gavin Wardle; Walter P Wodchis; Audrey Laporte; Geoffrey M Anderson; G Ross Baker
Journal:  Health Serv Res       Date:  2011-10-27       Impact factor: 3.402

2.  Prospectively defined indicators to improve the safety and quality of care for critically ill patients: a report from the Task Force on Safety and Quality of the European Society of Intensive Care Medicine (ESICM).

Authors:  A Rhodes; R P Moreno; E Azoulay; M Capuzzo; J D Chiche; J Eddleston; R Endacott; P Ferdinande; H Flaatten; B Guidet; R Kuhlen; C León-Gil; M C Martin Delgado; P G Metnitz; M Soares; C L Sprung; J F Timsit; A Valentin
Journal:  Intensive Care Med       Date:  2012-01-26       Impact factor: 17.440

3.  Developing a natural language processing application for measuring the quality of colonoscopy procedures.

Authors:  Henk Harkema; Wendy W Chapman; Melissa Saul; Evan S Dellon; Robert E Schoen; Ateev Mehrotra
Journal:  J Am Med Inform Assoc       Date:  2011-09-21       Impact factor: 4.497

4.  Predictive Validity of the Beers and Screening Tool of Older Persons' Potentially Inappropriate Prescriptions (STOPP) Criteria to Detect Adverse Drug Events, Hospitalizations, and Emergency Department Visits in the United States.

Authors:  Joshua D Brown; Lisa C Hutchison; Chenghui Li; Jacob T Painter; Bradley C Martin
Journal:  J Am Geriatr Soc       Date:  2016-01       Impact factor: 5.562

5.  Medical injuries among hospitalized children.

Authors:  J R Meurer; H Yang; C E Guse; M C Scanlon; P M Layde
Journal:  Qual Saf Health Care       Date:  2006-06

6.  The association of the number of comorbidities and complications with length of stay, hospital mortality and LOS high outlier, based on administrative data.

Authors:  Kazuaki Kuwabara; Yuichi Imanaka; Shinya Matsuda; Kiyohide Fushimi; Hideki Hashimoto; Koichi B Ishikawa; Hiromasa Horiguchi; Kenshi Hayashida; Kenji Fujimori
Journal:  Environ Health Prev Med       Date:  2008-03-29       Impact factor: 3.674

Review 7.  The knowledge-to-action cycle: identifying the gaps.

Authors:  Alison Kitson; Sharon E Straus
Journal:  CMAJ       Date:  2009-11-30       Impact factor: 8.262

8.  Effect of critical access hospital conversion on patient safety.

Authors:  Pengxiang Li; John E Schneider; Marcia M Ward
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

9.  Association of early post-procedure hemodynamic management with the outcomes of subarachnoid hemorrhage patients.

Authors:  Kazuaki Kuwabara; Kiyohide Fushimi; Shinya Matsuda; Koichi B Ishikawa; Hiromasa Horiguchi; Kenji Fujimori
Journal:  J Neurol       Date:  2012-10-25       Impact factor: 4.849

10.  Impact of Heath Information Technology on the Quality of Patient Care.

Authors:  Amanda Hessels; Linda Flynn; Jeannie P Cimiotti; Suzanne Bakken; Robyn Gershon
Journal:  Online J Nurs Inform       Date:  2015-11-01
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