Imputation for National Hospital Care Survey

• Activity Number: 520
• Type: Contributed
• Date/Time: Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
• Sponsor: Survey Research Methods Section
• Author(s): Diba Khan*+ and Iris M. Shimizu and Yulei He and Sharon Liu and Jin Zhang and Jianmin Xu and Bill Cai and Marian Strazzeri
• Companies: NCHS and CDC/NCHS and NCHS/CDC and NCHS/DHCS and NCHS/DHCS and NCHS/DHCS and NCHS/DHCS and NCHS/ORM/SRSDS
• Keywords: Imputation ; missing data

Abstract

The National Hospital Care Survey (NHCS) is a new survey that aims to provide national estimates on utilization of health care provided (1) in hospital-based settings, comprising inpatient departments, emergency and outpatient departments (EDs and OPDs), and hospital-based ambulatory surgery locations (ASLs) and (2) in freestanding ambulatory surgery centers (ASCs). NHCS is designed to collect nationally representative data on utilization of hospital inpatient care from administrative claims databases submitted by a sample of hospitals. Data on sex, age and length of stay (LOS) were reported to be missing for about five percent of the discharge records in those databases. This research will explore hot deck imputation and model based imputation, including the sequential regression modeling approach, to impute the missing values. Use of different available software, such as IVEware and SUDAAN 11, to perform the imputation will also be explored. Evaluation of different models will also be performed for quality check on the imputed values.