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Comment & Response |

Question About the Analysis of Missing Data and Identification of an Error—Reply

Xinli Li, PhD1; Tracy Smith, MS1; William Gunnar, MD, JD1,2
[+] Author Affiliations
1National Surgery Office, Veterans Health Administration, Glendale, Colorado
2The George Washington University, Washington, DC
JAMA Surg. 2016;151(8):782. doi:10.1001/jamasurg.2016.0130.
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In Reply We appreciate the thoughtful letter by Wada et al in response to our study.1 In Veterans Affairs Surgical Quality Improvement Program (VASQIP)–assessed cases, data for risk assessment and postoperative events are obtained via 1 of 2 methods. The majority of data are collected manually by a surgical quality nurse, including preoperative, intraoperative, and 30-day postoperative outcome data. The manually collected data are augmented by automatic data transmission from other VA information systems, including demographic characteristics, admission dates, and laboratory values. Of the 305 data fields collected in a VASQIP-assessed case, 82 variables are used for risk prediction and outcome measurement. These fields, when missing, are filled using an IVEWare multiple imputation program.2 Overall, 47 preoperative variables (57.3%) are collected manually, 12 intraoperative variables (14.6%) are collected automatically, and 23 postoperative variables (28.0%) are collected manually.


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August 1, 2016
Yohnosuke Wada, MD; Hiroyuki Tsunemori, MD, PhD; Mamoru Kikuchi, MD, PhD
1Mikurashima Clinic, Mikurashima, Tokyo, Japan
2Department of Urology, Kagawa University, Kida, Kagawa, Japan
3Department of Plastic and Reconstructive Surgery, Saga University Hospital, Saga, Japan
JAMA Surg. 2016;151(8):781-782. doi:10.1001/jamasurg.2016.0127.
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