Literature DB >> 18772446

Public reporting of quality data for stroke: is it measuring quality?

Adam Kelly1, Joel P Thompson, Deborah Tuttle, Curtis Benesch, Robert G Holloway.   

Abstract

BACKGROUND AND
PURPOSE: Public reporting of quality data is becoming more common and increasingly used to improve choices of patients, providers, and payers. We reviewed the scope and content of stroke data being reported to the public and how well it captures the quality of stroke care.
METHODS: We performed a cross-sectional survey of all report cards within the Agency for Healthcare Research and Quality Report Card Compendium. Stroke quality data were categorized into one of 5 groups: structure, process, outcomes, utilization, and finances. We also determined the congruence of mortality ratings of New York hospitals provided by 2 different report cards.
RESULTS: Of 221 available report cards, 19 (9%) reported quality information regarding stroke and 17 specifically addressed the quality of hospital-based stroke care. The most frequent data reported were utilization measures (n=15 report cards) and outcome measures (n=14 report cards). Data regarding finances (n=4), structure of care (n=2), and process of care (n=1) were reported infrequently. Ratings were incongruent in 61 of the 157 hospitals (39%) with the same hospital being rated below average on one report care and average on another in 44 hospitals.
CONCLUSIONS: Publicly reported quality data pertaining to patients with stroke are incomplete, confusing, and inaccurate. Without further improvements and a better understanding of the needs and limitations of the many stakeholders, targeted transparency policies for stroke care may lead to worse quality and large economic losses.

Entities:  

Mesh:

Year:  2008        PMID: 18772446      PMCID: PMC2723834          DOI: 10.1161/STROKEAHA.108.518738

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  19 in total

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Authors:  M N Marshall; P G Shekelle; S Leatherman; R H Brook
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Review 2.  Development of performance measures for acute ischemic stroke.

Authors:  R G Holloway; B G Vickrey; C Benesch; J A Hinchey; J Bieber
Journal:  Stroke       Date:  2001-09       Impact factor: 7.914

3.  Use and misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma.

Authors:  Richard Lilford; Mohammed A Mohammed; David Spiegelhalter; Richard Thomson
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4.  How do we maximize the impact of the public reporting of quality of care?

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5.  Recommendations for comprehensive stroke centers: a consensus statement from the Brain Attack Coalition.

Authors:  Mark J Alberts; Richard E Latchaw; Warren R Selman; Timothy Shephard; Mark N Hadley; Lawrence M Brass; Walter Koroshetz; John R Marler; John Booss; Richard D Zorowitz; Janet B Croft; Ellen Magnis; Diane Mulligan; Andrew Jagoda; Robert O'Connor; C Michael Cawley; J J Connors; Jean A Rose-DeRenzy; Marian Emr; Margo Warren; Michael D Walker
Journal:  Stroke       Date:  2005-06-16       Impact factor: 7.914

6.  The GAAP in quality measurement and reporting.

Authors:  Peter J Pronovost; Marlene Miller; Robert M Wachter
Journal:  JAMA       Date:  2007-10-17       Impact factor: 56.272

Review 7.  The quality of care. How can it be assessed?

Authors:  A Donabedian
Journal:  JAMA       Date:  1988 Sep 23-30       Impact factor: 56.272

8.  Predicting in-hospital mortality for stroke patients: results differ across severity-measurement methods.

Authors:  L I Iezzoni; M Shwartz; A S Ash; Y D Mackiernan
Journal:  Med Decis Making       Date:  1996 Oct-Dec       Impact factor: 2.583

9.  Improved quality of stroke care for hospitalized Medicare beneficiaries in Michigan.

Authors:  Bradley S Jacobs; Patricia L Baker; Canopy Roychoudhury; Rajendra H Mehta; Steven R Levine
Journal:  Stroke       Date:  2005-05-05       Impact factor: 7.914

10.  The unintended consequences of publicly reporting quality information.

Authors:  Rachel M Werner; David A Asch
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

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  5 in total

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Authors:  Ying Xian; Robert G Holloway; Katia Noyes; Manish N Shah; Bruce Friedman
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2.  Can Electronic Health Records Make Quality Measurement Fast and Easy?

Authors:  Eric E Adelman; James F Burke
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-09

3.  Variation in do-not-resuscitate orders for patients with ischemic stroke: implications for national hospital comparisons.

Authors:  Adam G Kelly; Darin B Zahuranec; Robert G Holloway; Lewis B Morgenstern; James F Burke
Journal:  Stroke       Date:  2014-02-12       Impact factor: 7.914

4.  Early stroke mortality, patient preferences, and the withdrawal of care bias.

Authors:  Adam G Kelly; Kathryn D Hoskins; Robert G Holloway
Journal:  Neurology       Date:  2012-08-28       Impact factor: 9.910

5.  Quality measures in stroke.

Authors:  Sharon N Poisson; S Andrew Josephson
Journal:  Neurohospitalist       Date:  2011-04
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