Literature DB >> 7979776

Using risk-adjusted outcomes to assess clinical practice: an overview of issues pertaining to risk adjustment.

L I Iezzoni1.   

Abstract

Increasingly, health care providers are being evaluated and held accountable for their patients' outcomes, ranging from the costs to service consumption to death. To be meaningful, the outcomes under scrutiny must be important to patients or to the health care system as a whole, relatively common, and linked temporally and causally to the care provided. In addition, outcomes findings should be adjusted for patient risk factors, with the goal of accounting for pertinent clinical characteristics before drawing inferences about the effectiveness or quality of care. Risk adjustment "levels the playing field" in comparing outcomes across providers. Although this concept is straightforward, performing clinically credible risk adjustment is difficult, especially given the widespread data constraints. In this article, I review the major issues involved in performing risk adjustment for health care outcomes studies.

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Year:  1994        PMID: 7979776     DOI: 10.1016/0003-4975(94)91721-3

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  12 in total

1.  Using routine comparative data to assess the quality of health care: understanding and avoiding common pitfalls.

Authors:  A E Powell; H T O Davies; R G Thomson
Journal:  Qual Saf Health Care       Date:  2003-04

2.  Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Authors:  Jacob V Spertus; Sharon-Lise T Normand; Robert Wolf; Matt Cioffi; Ann Lovett; Sherri Rose
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-11-08

3.  Surgical outcomes research based on administrative data: inferior or complementary to prospective randomized clinical trials?

Authors:  Ulrich Guller
Journal:  World J Surg       Date:  2006-03       Impact factor: 3.352

4.  Improving quality assessment through multilevel modeling: the case of nursing home compare.

Authors:  Greg Arling; Teresa Lewis; Robert L Kane; Christine Mueller; Shannon Flood
Journal:  Health Serv Res       Date:  2007-06       Impact factor: 3.402

5.  The Department of Veterans Affairs' NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program.

Authors:  S F Khuri; J Daley; W Henderson; K Hur; J Demakis; J B Aust; V Chong; P J Fabri; J O Gibbs; F Grover; K Hammermeister; G Irvin; G McDonald; E Passaro; L Phillips; F Scamman; J Spencer; J F Stremple
Journal:  Ann Surg       Date:  1998-10       Impact factor: 12.969

6.  Evaluating the Use of the Case Mix Index for Risk Adjustment of Healthcare-Associated Infection Data: An Illustration using Clostridium difficile Infection Data from the National Healthcare Safety Network.

Authors:  Nicola D Thompson; Jonathan R Edwards; Margaret A Dudeck; Scott K Fridkin; Shelley S Magill
Journal:  Infect Control Hosp Epidemiol       Date:  2015-10-21       Impact factor: 3.254

7.  Using administrative data to identify indications for elective primary cesarean delivery.

Authors:  Kimberly D Gregory; Lisa M Korst; Jeffrey A Gornbein; Lawrence D Platt
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

Review 8.  History and background of quality measurement.

Authors:  Jonathan Chun; Andrea Chao Bafford
Journal:  Clin Colon Rectal Surg       Date:  2014-03

9.  Survival after initial hospitalisation for heart failure: a multilevel analysis of patients in Swedish acute care hospitals.

Authors:  J Merlo; P O Ostergren; K Broms; A Bjorck-Linné; H Liedholm
Journal:  J Epidemiol Community Health       Date:  2001-05       Impact factor: 3.710

Review 10.  Risk assessment methods for cardiac surgery and intervention.

Authors:  Nassir M Thalji; Rakesh M Suri; Kevin L Greason; Hartzell V Schaff
Journal:  Nat Rev Cardiol       Date:  2014-09-23       Impact factor: 32.419

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