Literature DB >> 20613657

Trends in the inpatient quality indicators: the Veterans Health Administration experience.

Ann M Borzecki1, Cindy L Christiansen, Susan Loveland, Priscilla Chew, Amy K Rosen.   

Abstract

BACKGROUND: The Agency for Healthcare Research and Quality Inpatient Quality Indicators (IQIs), which include in-hospital mortality and utilization rates, have received little attention in the Veterans Health Administration (VA), despite extensive private sector use for quality improvement.
OBJECTIVES: We examined the following: the feasibility of applying the IQIs to VA data; temporal trends in national VA IQI rates; temporal and regional IQI trends in geographic areas defined by Veterans Integrated Service Networks' (VISNs); and VA versus non-VA (Nationwide Inpatient Sample) temporal trends.
METHODS: We derived VA- and VISN-level IQI observed rates, risk-adjusted rates, and observed to expected ratios (O/Es), using VA inpatient data (2004-2007). We examined the trends in VA- and VISN-level rates using weighted linear regression, variation in VISN-level O/Es, and compared VA to non-VA trends.
RESULTS: VA in-hospital mortality rates from selected medical conditions (stroke, hip fracture, pneumonia) decreased significantly over time; procedure-related mortality rates were unchanged. Laparoscopic cholecystectomy rates increased significantly. A few VISNs were consistently high or low outliers for the medical-related mortality IQIs. Within any given year, utilization indicators, especially cardiac catheterization and cholecystectomy, showed the most inter-VISN variation. Compared with the non-VA, VA medical-related mortality rates for the above-mentioned conditions decreased more rapidly, whereas laparascopic cholecystectomy rates rose more steeply.
CONCLUSIONS: The IQIs are easily applied to VA administrative data. They can be useful to tracks rate trends over time, reveal variation between sites, and for trend comparisons with other healthcare systems. By identifying potential quality events related to mortality and utilization, they may complement existing VA quality improvement initiatives.

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Year:  2010        PMID: 20613657     DOI: 10.1097/MLR.0b013e3181e419e3

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


  7 in total

1.  Comparing VA to Non-VA Care.

Authors:  William B Weeks
Journal:  J Gen Intern Med       Date:  2017-02       Impact factor: 5.128

2.  Comparing VA to Non-VA Care.

Authors:  Claire E O'Hanlon; Carrie Farmer; Courtney Gidengil
Journal:  J Gen Intern Med       Date:  2017-02       Impact factor: 5.128

Review 3.  Comparing VA and Non-VA Quality of Care: A Systematic Review.

Authors:  Claire O'Hanlon; Christina Huang; Elizabeth Sloss; Rebecca Anhang Price; Peter Hussey; Carrie Farmer; Courtney Gidengil
Journal:  J Gen Intern Med       Date:  2016-07-15       Impact factor: 5.128

4.  Outcomes of Care for Ischemic Heart Disease and Chronic Heart Failure in the Veterans Health Administration.

Authors:  Peter W Groeneveld; Elina L Medvedeva; Lorrie Walker; Andrea G Segal; Diane M Richardson; Andrew J Epstein
Journal:  JAMA Cardiol       Date:  2018-07-01       Impact factor: 14.676

5.  Simultaneous Prediction of New Morbidity, Mortality, and Survival Without New Morbidity From Pediatric Intensive Care: A New Paradigm for Outcomes Assessment.

Authors:  Murray M Pollack; Richard Holubkov; Tomohiko Funai; John T Berger; Amy E Clark; Kathleen Meert; Robert A Berg; Joseph Carcillo; David L Wessel; Frank Moler; Heidi Dalton; Christopher J L Newth; Thomas Shanley; Rick E Harrison; Allan Doctor; Tammara L Jenkins; Robert Tamburro; J Michael Dean
Journal:  Crit Care Med       Date:  2015-08       Impact factor: 7.598

6.  Quantifying Geographic Variation in Health Care Outcomes in the United States before and after Risk-Adjustment.

Authors:  Barry L Rosenberg; Joshua A Kellar; Anna Labno; David H M Matheson; Michael Ringel; Paige VonAchen; Richard I Lesser; Yue Li; Justin B Dimick; Atul A Gawande; Stefan H Larsson; Hamilton Moses
Journal:  PLoS One       Date:  2016-12-14       Impact factor: 3.240

7.  Low statin use in nondialysis-dependent chronic kidney disease in the absence of clinical atherosclerotic cardiovascular disease or diabetes.

Authors:  Talar W Markossian; Holly J Kramer; Nicholas J Burge; Ivan V Pacold; David J Leehey; Zhiping Huo; Julia Schneider; Benjamin Ling; Kevin T Stroupe
Journal:  Clin Kidney J       Date:  2019-01-27
  7 in total

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