Literature DB >> 26951277

Developing and Testing an Electronic Measure of Screening Colonoscopy Overuse in a Large Integrated Healthcare System.

Sameer D Saini1,2,3, Adam A Powell4,5, Jason A Dominitz6, Deborah A Fisher7,8, Joseph Francis9, Linda Kinsinger10, Kathleen S Pittman10, Philip Schoenfeld11,12,13, Stephanie E Moser11,14, Sandeep Vijan11,12,13, Eve A Kerr11,12,13.   

Abstract

BACKGROUND: Most existing performance measures focus on underuse of care, but there is growing interest in identifying and reducing overuse.
OBJECTIVE: We aimed to develop a valid and reliable electronic performance measure of overuse of screening colonoscopy in the Veterans Affairs Health Care System (VA), and to quantify overuse in VA.
DESIGN: This was a cross-sectional study with multiple cross-sections.
SUBJECTS: U.S. Veterans who underwent screening colonoscopy between 2011 and 2013. MAIN MEASURES: Overuse of screening colonoscopy, using a validated electronic measure developed by an expert workgroup. KEY
RESULTS: Compared to results obtained from manual record review, the electronic measure was highly specific (97 %) for overuse, but not sensitive (20 %). After exclusion of diagnostic and high-risk screening or surveillance procedures, the validated electronic measure identified 88,754 average-risk screening colonoscopies performed in VA during 2013. Of these, 20,530 (23 %) met the definition for probable (17 %) or possible (6 %) overuse. Substantial variation in colonoscopy overuse was noted between Veterans Integrated Care Networks (VISNs) and between facilities, with a nearly twofold difference between the maximum and minimum rates of overuse at the VISN level and a nearly eightfold difference at the facility level. Overuse at the VISN and facility level was relatively stable over time.
CONCLUSIONS: Overuse of screening colonoscopy can be measured reliably and with high specificity using electronic data, and is common in a large integrated healthcare system. Overuse measures, such as those we have specified through a consensus workgroup process, could be combined with underuse measures to improve the appropriateness of colorectal cancer screening.

Entities:  

Keywords:  colorectal cancer; health services research; performance measurement; screening

Mesh:

Year:  2016        PMID: 26951277      PMCID: PMC4803673          DOI: 10.1007/s11606-015-3569-y

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  22 in total

1.  The effect of facility complexity on perceptions of safety climate in the operating room: size matters.

Authors:  Brian T Carney; Priscilla West; Julia Neily; Peter D Mills; James P Bagian
Journal:  Am J Med Qual       Date:  2010-05-24       Impact factor: 1.852

Review 2.  Making performance indicators work: experiences of US Veterans Health Administration.

Authors:  Eve A Kerr; Barbara Fleming
Journal:  BMJ       Date:  2007-11-10

3.  Screening for colorectal cancer: U.S. Preventive Services Task Force recommendation statement.

Authors: 
Journal:  Ann Intern Med       Date:  2008-10-06       Impact factor: 25.391

4.  Quality and equity of care in the veterans affairs health-care system and in medicare advantage health plans.

Authors:  Amal N Trivedi; Regina C Grebla
Journal:  Med Care       Date:  2011-06       Impact factor: 2.983

5.  Assessing the impact of screening colonoscopy on mortality in the medicare population.

Authors:  Cary P Gross; Pamela R Soulos; Joseph S Ross; Laura D Cramer; Christopher Guerrero; Mary E Tinetti; R Scott Braithwaite
Journal:  J Gen Intern Med       Date:  2011-08-13       Impact factor: 5.128

6.  Unintended consequences of implementing a national performance measurement system into local practice.

Authors:  Adam A Powell; Katie M White; Melissa R Partin; Krysten Halek; Jon B Christianson; Brian Neil; Sylvia J Hysong; Edwin J Zarling; Hanna E Bloomfield
Journal:  J Gen Intern Med       Date:  2011-10-13       Impact factor: 5.128

7.  Accuracy of Medicare claims for identifying findings and procedures performed during colonoscopy.

Authors:  Cynthia W Ko; Jason A Dominitz; Pam Green; William Kreuter; Laura-Mae Baldwin
Journal:  Gastrointest Endosc       Date:  2010-10-15       Impact factor: 9.427

8.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

9.  Adverse events after outpatient colonoscopy in the Medicare population.

Authors:  Joan L Warren; Carrie N Klabunde; Angela B Mariotto; Angela Meekins; Marie Topor; Martin L Brown; David F Ransohoff
Journal:  Ann Intern Med       Date:  2009-06-16       Impact factor: 25.391

10.  Pitfalls of converting practice guidelines into quality measures: lessons learned from a VA performance measure.

Authors:  Louise C Walter; Natalie P Davidowitz; Paul A Heineken; Kenneth E Covinsky
Journal:  JAMA       Date:  2004-05-26       Impact factor: 56.272

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  10 in total

Review 1.  Overuse of Health Care Services in the Management of Cancer: A Systematic Review.

Authors:  Shrujal S Baxi; Minal Kale; Salomeh Keyhani; Benjamin R Roman; Annie Yang; Antonio P Derosa; Deborah Korenstein
Journal:  Med Care       Date:  2017-07       Impact factor: 2.983

2.  The Next Generation of Clinical Performance Measures.

Authors:  David Atkins
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

3.  Improving the Quality of Quality Measurement.

Authors:  Cheryl L Damberg; David W Baker
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

Review 4.  Pay-for-Performance and Veteran Care in the VHA and the Community: a Systematic Review.

Authors:  Karli K Kondo; Jessica Wyse; Aaron Mendelson; Gabriella Beard; Michele Freeman; Allison Low; Devan Kansagara
Journal:  J Gen Intern Med       Date:  2018-04-26       Impact factor: 5.128

5.  User-centered design to improve clinical decision support in primary care.

Authors:  Julian Brunner; Emmeline Chuang; Caroline Goldzweig; Cindy L Cain; Catherine Sugar; Elizabeth M Yano
Journal:  Int J Med Inform       Date:  2017-05-10       Impact factor: 4.046

6.  Developing indicators for measuring low-value care: mapping Choosing Wisely recommendations to hospital data.

Authors:  Kelsey Chalmers; Tim Badgery-Parker; Sallie-Anne Pearson; Jonathan Brett; Ian A Scott; Adam G Elshaug
Journal:  BMC Res Notes       Date:  2018-03-05

7.  Measuring 21 low-value hospital procedures: claims analysis of Australian private health insurance data (2010-2014).

Authors:  Kelsey Chalmers; Sallie-Anne Pearson; Tim Badgery-Parker; Jonathan Brett; Ian A Scott; Adam G Elshaug
Journal:  BMJ Open       Date:  2019-03-05       Impact factor: 2.692

8.  Factors Associated With Low-Value Cancer Screenings in the Veterans Health Administration.

Authors:  Linnaea Schuttner; Bjarni Haraldsson; Charles Maynard; Christian D Helfrich; Ashok Reddy; Toral Parikh; Karin M Nelson; Edwin Wong
Journal:  JAMA Netw Open       Date:  2021-10-01

9.  Patient Attitudes Toward Individualized Recommendations to Stop Low-Value Colorectal Cancer Screening.

Authors:  Marc S Piper; Jennifer K Maratt; Brian J Zikmund-Fisher; Carmen Lewis; Jane Forman; Sandeep Vijan; Valbona Metko; Sameer D Saini
Journal:  JAMA Netw Open       Date:  2018-12-07

10.  Evaluation of Low-Value Diagnostic Testing for 4 Common Conditions in the Veterans Health Administration.

Authors:  Thomas R Radomski; Robert Feldman; Yan Huang; Florentina E Sileanu; Carolyn T Thorpe; Joshua M Thorpe; Michael J Fine; Walid F Gellad
Journal:  JAMA Netw Open       Date:  2020-09-01
  10 in total

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