Literature DB >> 9917472

Administrative data for quality improvement.

R M Schwartz1, D E Gagnon, J H Muri, Q R Zhao, R Kellogg.   

Abstract

This article discusses the use of administrative data for quality improvement in perinatal and neonatal medicine. We review the nature of administrative data and focus on hospital discharge abstract data as the primary source of hospital- and community-based assessments. Although discharge abstract data lack the richness of primary data, these data are the most accessible comparative data source for examining all patients admitted to a hospital. When aggregated to the state level as occurs in more than 30 states, hospital discharge data reflects hospital utilization and outcomes for an entire geographic population at the state and community level. This article reviews some of the weaknesses of administrative data and then focuses how these data can be used for hospital- and community-based assessment of perinatal care citing as examples the measures of perinatal process and outcome used by the National Perinatal Information Center in its Quality/Efficiency Reports for member hospitals and a study of perinatal high-risk care in the State of Florida. The use of discharge abstract data for performance measurement at either the hospital or the system level requires a thorough understanding of how to select a patient group, its characteristics, the intervention, and the outcomes relevant to that patient group. In the perinatal arena, the National Perinatal Information Center has selected and presents those measures that rely on data items shown to be the most reliable based on validity studies and clinician opinion, delineation of the intervention, and the measurement of what occurred. As hospitals respond to the recent pressures of the Joint Commission on Accreditation of Healthcare Organizations and other quality assurance entities, the accuracy of the discharge data will improve. With accepted caution, these data sets are invaluable to researchers studying comparative populations over time or across large geographic areas.

Entities:  

Mesh:

Year:  1999        PMID: 9917472

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


  16 in total

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2.  Medical injuries among hospitalized children.

Authors:  J R Meurer; H Yang; C E Guse; M C Scanlon; P M Layde
Journal:  Qual Saf Health Care       Date:  2006-06

3.  Use of an administrative database to determine clinical management and outcomes in congenital heart disease.

Authors:  Howard P Gutgesell; Diane G Hillman; Kimberly E McHugh; Peter Dean; G Paul Matherne
Journal:  World J Pediatr Congenit Heart Surg       Date:  2011-10-01

4.  Antenatal and intrapartum risk factors for seizures in term newborns: a population-based study, California 1998-2002.

Authors:  Hannah C Glass; Trinh N Pham; Beate Danielsen; Dena Towner; David Glidden; Yvonne W Wu
Journal:  J Pediatr       Date:  2008-08-30       Impact factor: 4.406

5.  Trauma Associated with Cardiac Conduction Abnormalities: Population-Based Perspective, Mechanism and Review of Literature.

Authors:  Rovshan M Ismailov
Journal:  Eur J Trauma Emerg Surg       Date:  2010-01-27       Impact factor: 3.693

6.  Comparing paper-based with electronic patient records: lessons learned during a study on diagnosis and procedure codes.

Authors:  Jurgen Stausberg; Dietrich Koch; Josef Ingenerf; Michael Betzler
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

7.  Assessment of surfactant use in preterm infants as a marker of neonatal intensive care unit quality.

Authors:  Heather C Kaplan; Scott A Lorch; Jennifer Pinto-Martin; Mary Putt; Jeffrey H Silber
Journal:  BMC Health Serv Res       Date:  2011-01-31       Impact factor: 2.655

8.  Do inter-hospital comparisons of in-hospital, acute myocardial infarction case-fatality rates serve the purpose of fostering quality improvement? An evaluative study.

Authors:  Willem Aelvoet; Nathalie Terryn; Geert Molenberghs; Guy De Backer; Christiaan Vrints; Marc van Sprundel
Journal:  BMC Health Serv Res       Date:  2010-12-08       Impact factor: 2.655

Review 9.  Trends in postpartum hemorrhage in high resource countries: a review and recommendations from the International Postpartum Hemorrhage Collaborative Group.

Authors:  Marian Knight; William M Callaghan; Cynthia Berg; Sophie Alexander; Marie-Helene Bouvier-Colle; Jane B Ford; K S Joseph; Gwyneth Lewis; Robert M Liston; Christine L Roberts; Jeremy Oats; James Walker
Journal:  BMC Pregnancy Childbirth       Date:  2009-11-27       Impact factor: 3.007

10.  Investigating linkage rates among probabilistically linked birth and hospitalization records.

Authors:  Jason P Bentley; Jane B Ford; Lee K Taylor; Katie A Irvine; Christine L Roberts
Journal:  BMC Med Res Methodol       Date:  2012-09-25       Impact factor: 4.615

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