Literature DB >> 21456114

Safety outcomes in the United States: trends and challenges in measurement.

Michael D Greenberg1, Amelia M Haviland, Hao Yu, Donna O Farley.   

Abstract

OBJECTIVE: To prepare Agency for Healthcare Research and Quality (AHRQ) for monitoring the impact of its own patient safety initiative, by exploring available outcomes data, assessing usability of measures, and estimating national trends in patient outcomes. DATA SOURCES: Annual summary data on incidence of Joint Commission Sentinel Events, MEDMARX medication error events, and MDS measures of falls and pressure ulcers in nursing home residents. HCUP National Inpatient Sample (NIS) administrative claims data.
METHODS: Description and assessment of published summary data on selected safety measures. Analysis of selected Patient Safety Indicators (PSIs) and Utah–Missouri adverse event measures using HCUP NIS claims data (1994–2003). PRINCIPAL
FINDINGS: Interpretation of safety outcome trends requires close attention to the characteristics of underlying data sources and measures. Encounter-based measures have been affected by changes in definitions and ICD-9 coding, as well as by changes in the structure of administrative datasets like HCUP NIS. Historical trends are mixed for the safety outcome measures reviewed, with some measures showing improvement, others deterioration, and still others remaining fairly stable.
CONCLUSIONS: Constructing national trends of safety outcomes is difficult because of limitations in available data sources and measures. Tracking growth in the adoption of safe practices could offer an important strategy for complementing existing safety measurement capabilities.

Entities:  

Mesh:

Year:  2009        PMID: 21456114      PMCID: PMC2677038          DOI: 10.1111/j.1475-6773.2008.00926.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  10 in total

1.  The quality of quality measurement in U.S. nursing homes.

Authors:  Vincent Mor; Katherine Berg; Joseph Angelelli; David Gifford; John Morris; Terry Moore
Journal:  Gerontologist       Date:  2003-04

2.  A comprehensive clinical assessment tool to inform policy and practice: applications of the minimum data set.

Authors:  Vincent Mor
Journal:  Med Care       Date:  2004-04       Impact factor: 2.983

Review 3.  Defining and measuring patient safety.

Authors:  Peter J Pronovost; David A Thompson; Christine G Holzmueller; Lisa H Lubomski; Laura L Morlock
Journal:  Crit Care Clin       Date:  2005-01       Impact factor: 3.598

4.  The effect of provider-level ascertainment bias on profiling nursing homes.

Authors:  Jason Roy; Vincent Mor
Journal:  Stat Med       Date:  2005-12-15       Impact factor: 2.373

5.  Performance of International Classification Of Diseases, 9th Revision, Clinical Modification codes as an adverse drug event surveillance system.

Authors:  Paul Hougland; Wu Xu; Steve Pickard; Carol Masheter; Scott D Williams
Journal:  Med Care       Date:  2006-07       Impact factor: 2.983

6.  Evaluation of the AHRQ patient safety initiative: framework and approach.

Authors:  Donna O Farley; James B Battles
Journal:  Health Serv Res       Date:  2009-04       Impact factor: 3.402

7.  Relevance of the Agency for Healthcare Research and Quality Patient Safety Indicators for children's hospitals.

Authors:  Aileen Sedman; J Mitchell Harris; Kristine Schulz; Ellen Schwalenstocker; Denise Remus; Matthew Scanlon; Vinita Bahl
Journal:  Pediatrics       Date:  2004-12-03       Impact factor: 7.124

Review 8.  Assessing patient safety in the United States: challenges and opportunities.

Authors:  Chunliu Zhan; Ed Kelley; Hannah P Yang; Marge Keyes; James Battles; Robert J Borotkanics; Daniel Stryer
Journal:  Med Care       Date:  2005-03       Impact factor: 2.983

9.  Pediatric patient safety in hospitals: a national picture in 2000.

Authors:  Marlene R Miller; Chunliu Zhan
Journal:  Pediatrics       Date:  2004-06       Impact factor: 7.124

10.  Inter-rater reliability of nursing home quality indicators in the U.S.

Authors:  Vincent Mor; Joseph Angelelli; Richard Jones; Jason Roy; Terry Moore; John Morris
Journal:  BMC Health Serv Res       Date:  2003-11-04       Impact factor: 2.655

  10 in total
  7 in total

1.  National trends in patient safety for four common conditions, 2005-2011.

Authors:  Yun Wang; Noel Eldridge; Mark L Metersky; Nancy R Verzier; Thomas P Meehan; Michelle M Pandolfi; JoAnne M Foody; Shih-Yieh Ho; Deron Galusha; Rebecca E Kliman; Nancy Sonnenfeld; Harlan M Krumholz; James Battles
Journal:  N Engl J Med       Date:  2014-01-23       Impact factor: 91.245

2.  Evaluation of the AHRQ patient safety initiative: synthesis of findings.

Authors:  Donna O Farley; Cheryl L Damberg
Journal:  Health Serv Res       Date:  2009-04       Impact factor: 3.402

3.  Evaluation of the AHRQ patient safety initiative: framework and approach.

Authors:  Donna O Farley; James B Battles
Journal:  Health Serv Res       Date:  2009-04       Impact factor: 3.402

4.  Comparing the dangers of a stay in English and German hospitals for high-need patients.

Authors:  Rocco Friebel; Cornelia Henschke; Laia Maynou
Journal:  Health Serv Res       Date:  2021-09-05       Impact factor: 3.402

5.  A Severe Sepsis Mortality Prediction Model and Score for Use With Administrative Data.

Authors:  Dee W Ford; Andrew J Goodwin; Annie N Simpson; Emily Johnson; Nandita Nadig; Kit N Simpson
Journal:  Crit Care Med       Date:  2016-02       Impact factor: 7.598

6.  Association of Adverse Effects of Medical Treatment With Mortality in the United States: A Secondary Analysis of the Global Burden of Diseases, Injuries, and Risk Factors Study.

Authors:  Jacob E Sunshine; Nicholas Meo; Nicholas J Kassebaum; Michael L Collison; Ali H Mokdad; Mohsen Naghavi
Journal:  JAMA Netw Open       Date:  2019-01-04

Review 7.  Measuring safety in older adult care homes: a scoping review of the international literature.

Authors:  Stacey Rand; Nick Smith; Karen Jones; Alan Dargan; Helen Hogan
Journal:  BMJ Open       Date:  2021-03-11       Impact factor: 2.692

  7 in total

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