Literature DB >> 18474532

Evaluation of the agency for healthcare research and quality pediatric quality indicators.

Matthew C Scanlon1, J Mitchell Harris, Fiona Levy, Aileen Sedman.   

Abstract

OBJECTIVES: Pediatric quality indicators were developed in 2006 by the Agency for Healthcare Research and Quality to identify potentially preventable complications in hospitalized children. Our objectives for this study were to (1) apply these algorithms to an aggregate children's hospital's discharge abstract database, (2) establish rates for each of the pediatric quality indicator events in the children's hospitals, (3) use direct chart review to investigate the accuracy of the pediatric quality indicators, (4) calculate the number of complications that were already present on admission and, therefore, not attributable to the specific hospitalization, and (5) evaluate preventability and calculate positive predictive value for each of the indicators. In addition, we wanted to use the data to set priorities for ongoing clinical investigation.
METHODS: The Agency for Healthcare Research and Quality pediatric quality indicator algorithms were applied to 76 children's hospital's discharge abstract data (1794675 discharges) from 2003 to 2005. Rates were calculated for 11 of the pediatric quality indicators from all 3 years of discharge data: accidental puncture or laceration, decubitus ulcer, foreign body left in during a procedure, iatrogenic pneumothorax in neonates at risk, iatrogenic pneumothorax in nonneonates, postoperative hemorrhage or hematoma, postoperative respiratory failure, postoperative sepsis, postoperative wound dehiscence, selected infections caused by medical care, and transfusion reaction. Subsequently, clinicians from 28 children's hospitals reviewed 1703 charts in which complications had been identified. They answered questions as to correctness of secondary diagnoses that were associated with the indicator, whether a complication was already present on admission, and whether that complication was preventable, nonpreventable, or uncertain.
RESULTS: Across 3 years of data the rates of pediatric quality indicators ranged from a low of 0.01/1000 discharges for transfusion reaction to a high of 35/1000 for postoperative respiratory failure, with a median value of 1.85/1000 for the 11 pediatric quality indicators. Indicators were often already present on admission and ranged from 43% for infection caused by medical care to 0% for iatrogenic pneumothorax in neonates, with a median value of 16.9%. Positive predictive value for the subset of pediatric quality indicators occurring after admission was highest for decubitus ulcer (51%) and infection caused by medical care (40%). Because of the very large numbers of cases identified and its low preventability, the indicator postoperative respiratory failure is particularly problematic. The initial definition includes all children on ventilators postoperatively for >4 days with few exclusions. Being on a ventilator for 4 days would be a normal occurrence for many children with extensive surgery; therefore, the majority of the time does not indicate a complication and makes the indicator inappropriate.
CONCLUSIONS: A subset of pediatric quality indicators derived from administrative data are reasonable screening tools to help hospitals prioritize chart review and subsequent improvement projects. However, in their present form, true preventability of these complications is relatively low; therefore, the indicators are not useful for public hospital comparison. Identifying which complications are present on admission versus those that occur within the hospitalization will be essential, along with adequate risk adjustment, for any valid comparison between institutions. Infection caused by medical care and decubitus ulcers are clinically important indicators once the present-on-admission status is determined. These complications cause significant morbidity in hospitalized children, and research has shown a high level of preventability. The pediatric quality indicator software can help children's hospitals objectively review their cases and target improvement activities appropriately. The postoperative-respiratory-failure indicator does not represent a complication in the majority of cases and, therefore, should not be included for hospital screening or public comparison. Chart review should become part of the development process for quality indicators to avoid inappropriate conclusions that misdirect quality-improvement resources.

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Year:  2008        PMID: 18474532     DOI: 10.1542/peds.2007-3247

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  18 in total

1.  State-Mandated Hospital Infection Reporting Is Not Associated With Decreased Pediatric Health Care-Associated Infections.

Authors:  Michael L Rinke; David G Bundy; Fizan Abdullah; Elizabeth Colantuoni; Yiyi Zhang; Marlene R Miller
Journal:  J Patient Saf       Date:  2015-09       Impact factor: 2.844

2.  Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety.

Authors:  V Sundararajan; P S Romano; H Quan; B Burnand; S E Drösler; S Brien; H A Pincus; W A Ghali
Journal:  Int J Qual Health Care       Date:  2015-06-04       Impact factor: 2.038

3.  The impact of electronic medical records data sources on an adverse drug event quality measure.

Authors:  Michael G Kahn; Daksha Ranade
Journal:  J Am Med Inform Assoc       Date:  2010 Mar-Apr       Impact factor: 4.497

4.  Small numbers limit the use of the inpatient pediatric quality indicators for hospital comparison.

Authors:  Naomi S Bardach; Alyna T Chien; R Adams Dudley
Journal:  Acad Pediatr       Date:  2010 Jul-Aug       Impact factor: 3.107

5.  Identifying a quality improvement project.

Authors:  Lakshmi Katakam; Gautham K Suresh
Journal:  J Perinatol       Date:  2017-08-24       Impact factor: 2.521

Review 6.  Quality indicators in pediatric orthopaedic surgery: a systematic review.

Authors:  Angeliki Kennedy; Christina Bakir; Carmen A Brauer
Journal:  Clin Orthop Relat Res       Date:  2012-04       Impact factor: 4.176

7.  Differences in quality of care among non-safety-net, safety-net, and children's hospitals.

Authors:  Linda Dynan; Anthony Goudie; Richard B Smith; Gerry Fairbrother; Lisa A Simpson
Journal:  Pediatrics       Date:  2013-01-06       Impact factor: 7.124

8.  Implementing quality indicators in intensive care units: exploring barriers to and facilitators of behaviour change.

Authors:  Maartje Lg de Vos; Sabine N van der Veer; Wilco C Graafmans; Nicolette F de Keizer; Kitty J Jager; Gert P Westert; Peter Hj van der Voort
Journal:  Implement Sci       Date:  2010-07-01       Impact factor: 7.327

9.  Assessment of pancreatic cancer care in the United States based on formally developed quality indicators.

Authors:  Karl Y Bilimoria; David J Bentrem; Keith D Lillemoe; Mark S Talamonti; Clifford Y Ko
Journal:  J Natl Cancer Inst       Date:  2009-06-09       Impact factor: 13.506

10.  The effect of race and gender on pediatric surgical outcomes within the United States.

Authors:  Matthew L Stone; Damien J Lapar; Bartholomew J Kane; Sara K Rasmussen; Eugene D McGahren; Bradley M Rodgers
Journal:  J Pediatr Surg       Date:  2013-08       Impact factor: 2.545

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