David W Jantzen1, Xia He2, Jeffrey P Jacobs3, Marshall L Jacobs3, Michael G Gaies1, Matt Hall4, John E Mayer5, Samir S Shah6, Jennifer Hirsch-Romano7, J William Gaynor8, Eric D Peterson2, Sara K Pasquali9. 1. Department of Pediatrics and Communicable Diseases, University of Michigan Medical School, C.S. Mott Children's Hospital, Ann Arbor, MI, USA. 2. Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA. 3. Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 4. Children's Hospital Association, Overland Park, KS, USA. 5. Department of Cardiovascular Surgery, Boston Children's Hospital, Boston, MA, USA. 6. Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. 7. Department of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, MI, USA. 8. Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA. 9. Department of Pediatrics and Communicable Diseases, University of Michigan Medical School, C.S. Mott Children's Hospital, Ann Arbor, MI, USA pasquali@med.umich.edu.
Abstract
BACKGROUND: Resource utilization in congenital heart surgery is typically assessed using administrative data sets. Recent analyses have called into question the accuracy of coding of cases in administrative data; however, it is unclear whether miscoding impacts assessment of associated resource use. METHODS: We merged data coded within both an administrative data set and clinical registry on children undergoing heart surgery (2004-2010) at 33 hospitals. The impact of differences in coding of operations between data sets on reporting of postoperative length of stay (PLOS) and total hospital costs associated with these operations was assessed. RESULTS: For each of the eight operations of varying complexity evaluated (total n = 57,797), there were differences in coding between data sets, which translated into differences in the reporting of associated resource utilization for the cases coded in either data set. There were statistically significant differences in PLOS and cost for seven of the eight operations, although most PLOS differences were relatively small with the exception of the Norwood operation and truncus repair (differences of two days, P < .001). For cost, there was a >5% difference for three of the eight operations and >10% difference for truncus repair (US$10,570; P < .01). Grouping of operations into categories of similar risk appeared to mitigate many of these differences. CONCLUSION: Differences in coding of cases in administrative versus clinical registry data can translate into differences in assessment of associated PLOS and cost for certain operations. This may be minimized through evaluating larger groups of operations when using administrative data or using clinical registry data to accurately identify operations of interest.
BACKGROUND: Resource utilization in congenital heart surgery is typically assessed using administrative data sets. Recent analyses have called into question the accuracy of coding of cases in administrative data; however, it is unclear whether miscoding impacts assessment of associated resource use. METHODS: We merged data coded within both an administrative data set and clinical registry on children undergoing heart surgery (2004-2010) at 33 hospitals. The impact of differences in coding of operations between data sets on reporting of postoperative length of stay (PLOS) and total hospital costs associated with these operations was assessed. RESULTS: For each of the eight operations of varying complexity evaluated (total n = 57,797), there were differences in coding between data sets, which translated into differences in the reporting of associated resource utilization for the cases coded in either data set. There were statistically significant differences in PLOS and cost for seven of the eight operations, although most PLOS differences were relatively small with the exception of the Norwood operation and truncus repair (differences of two days, P < .001). For cost, there was a >5% difference for three of the eight operations and >10% difference for truncus repair (US$10,570; P < .01). Grouping of operations into categories of similar risk appeared to mitigate many of these differences. CONCLUSION: Differences in coding of cases in administrative versus clinical registry data can translate into differences in assessment of associated PLOS and cost for certain operations. This may be minimized through evaluating larger groups of operations when using administrative data or using clinical registry data to accurately identify operations of interest.
Authors: David M Shahian; Treacy Silverstein; Ann F Lovett; Robert E Wolf; Sharon-Lise T Normand Journal: Circulation Date: 2007-03-12 Impact factor: 29.690
Authors: Jeffrey Phillip Jacobs; Sean M O'Brien; Sara K Pasquali; Marshall Lewis Jacobs; Francois G Lacour-Gayet; Christo I Tchervenkov; Erle H Austin; Christian Pizarro; Kamal K Pourmoghadam; Frank G Scholl; Karl F Welke; Constantine Mavroudis Journal: Ann Thorac Surg Date: 2011-12 Impact factor: 4.330
Authors: Kathy J Jenkins; Kimberlee Gauvreau; Jane W Newburger; Thomas L Spray; James H Moller; Lisa I Iezzoni Journal: J Thorac Cardiovasc Surg Date: 2002-01 Impact factor: 5.209
Authors: Sara K Pasquali; Jeffrey P Jacobs; Gregory J Shook; Sean M O'Brien; Matthew Hall; Marshall L Jacobs; Karl F Welke; J William Gaynor; Eric D Peterson; Samir S Shah; Jennifer S Li Journal: Am Heart J Date: 2010-12 Impact factor: 4.749
Authors: Sara K Pasquali; Jie-Lena Sun; Phil d'Almada; Robert D B Jaquiss; Andrew J Lodge; Neal Miller; Alex R Kemper; Carole M Lannon; Jennifer S Li Journal: Circ Cardiovasc Qual Outcomes Date: 2011-04-19
Authors: Emily J Lawrence; Khanh Nguyen; Shaine A Morris; Ingrid Hollinger; Dionne A Graham; Kathy J Jenkins; Carol Bodian; Hung-Mo Lin; Bruce D Gelb; Alexander J C Mittnacht Journal: Circ Cardiovasc Qual Outcomes Date: 2013-02-26
Authors: Christine E Cronk; Marsha E Malloy; Andrew N Pelech; Richard E Miller; Sally A Meyer; Melissa Cowell; D Gail McCarver Journal: Birth Defects Res A Clin Mol Teratol Date: 2003-09
Authors: Matthew J Strickland; Tiffany J Riehle-Colarusso; Jeffrey P Jacobs; Mark D Reller; William T Mahle; Lorenzo D Botto; Paige E Tolbert; Marshall L Jacobs; Francois G Lacour-Gayet; Christo I Tchervenkov; Constantine Mavroudis; Adolfo Correa Journal: Cardiol Young Date: 2008-12 Impact factor: 1.093
Authors: Jill M Steiner; James N Kirkpatrick; Susan R Heckbert; Asma Habib; James Sibley; William Lober; J Randall Curtis Journal: Congenit Heart Dis Date: 2017-07-24 Impact factor: 2.007
Authors: Majid Rastegar-Mojarad; Sunghwan Sohn; Liwei Wang; Feichen Shen; Troy C Bleeker; William A Cliby; Hongfang Liu Journal: Int J Med Inform Date: 2017-10-10 Impact factor: 4.046
Authors: Sara K Pasquali; Jeffrey P Jacobs; Edward L Bove; J William Gaynor; Xia He; Michael G Gaies; Jennifer C Hirsch-Romano; John E Mayer; Eric D Peterson; Nelangi M Pinto; Samir S Shah; Matt Hall; Marshall L Jacobs Journal: Ann Thorac Surg Date: 2015-07-14 Impact factor: 4.330
Authors: Michael Gaies; Janet E Donohue; Gina M Willis; Andrea T Kennedy; John Butcher; Mark A Scheurer; Jeffrey A Alten; J William Gaynor; Jennifer J Schuette; David S Cooper; Jeffrey P Jacobs; Sara K Pasquali; Sarah Tabbutt Journal: Cardiol Young Date: 2015-09-11 Impact factor: 1.093