BACKGROUND: Decreasing hospital lengths of stay (LOS) hamper efforts to detect and to definitively treat complications of care. Patients leave before some complications are identified. OBJECTIVES: To develop a computerized method to screen for hospital complications using readily available administrative data from outpatient and nonacute care within 90 days of discharge. DESIGN: We developed the Complications Screening Program for Outpatient data (CSP-O) by using diagnosis and procedure codes from Medicare Part A and B claims to define 50 complication screens. Seventeen apply to specific procedural cases, and 33 apply to all adult, acute, medical, or surgical hospitalizations. The CSP-O algorithm examined outpatient, physician office, home health agency, and hospice claims within 90 days following discharge. SUBJECTS: Seven hundred thirty nine thousand, two hundred and forty eight discharges of Medicare beneficiaries (age range, > or = 65 years) were admitted to 515 hospitals nationwide in 1994. RESULTS: Complete 90-day, post-discharge windows were present for 62.8% of all and 68.5% of procedural cases. The 33 general screens flagged 13.6% of all cases; only 1.8% of procedural cases were flagged by the 17 procedural screens. When we allowed the CSP-O algorithm to scan information from acute hospital readmissions, flag rates rose to 32.8% for general and 8.7% for procedural complications. Controlling for patient and hospital characteristics, flag rates were considerably higher among the very old and at small and for-profit institutions. CONCLUSIONS: Whereas several CSP-O findings have construct validity, limitations of claims raise concerns. Regardless of the CSPO's ultimate utility, examining post-discharge experiences to identify inpatient complications remains important as LOSs fall.
BACKGROUND: Decreasing hospital lengths of stay (LOS) hamper efforts to detect and to definitively treat complications of care. Patients leave before some complications are identified. OBJECTIVES: To develop a computerized method to screen for hospital complications using readily available administrative data from outpatient and nonacute care within 90 days of discharge. DESIGN: We developed the Complications Screening Program for Outpatient data (CSP-O) by using diagnosis and procedure codes from Medicare Part A and B claims to define 50 complication screens. Seventeen apply to specific procedural cases, and 33 apply to all adult, acute, medical, or surgical hospitalizations. The CSP-O algorithm examined outpatient, physician office, home health agency, and hospice claims within 90 days following discharge. SUBJECTS: Seven hundred thirty nine thousand, two hundred and forty eight discharges of Medicare beneficiaries (age range, > or = 65 years) were admitted to 515 hospitals nationwide in 1994. RESULTS: Complete 90-day, post-discharge windows were present for 62.8% of all and 68.5% of procedural cases. The 33 general screens flagged 13.6% of all cases; only 1.8% of procedural cases were flagged by the 17 procedural screens. When we allowed the CSP-O algorithm to scan information from acute hospital readmissions, flag rates rose to 32.8% for general and 8.7% for procedural complications. Controlling for patient and hospital characteristics, flag rates were considerably higher among the very old and at small and for-profit institutions. CONCLUSIONS: Whereas several CSP-O findings have construct validity, limitations of claims raise concerns. Regardless of the CSPO's ultimate utility, examining post-discharge experiences to identify inpatient complications remains important as LOSs fall.
Authors: P J Devereaux; Peter T L Choi; Christina Lacchetti; Bruce Weaver; Holger J Schünemann; Ted Haines; John N Lavis; Brydon J B Grant; David R S Haslam; Mohit Bhandari; Terrence Sullivan; Deborah J Cook; Stephen D Walter; Maureen Meade; Humaira Khan; Neera Bhatnagar; Gordon H Guyatt Journal: CMAJ Date: 2002-05-28 Impact factor: 8.262
Authors: Deborah R Kaye; Edward C Norton; Chad Ellimoottil; Zaojun Ye; James M Dupree; Lindsey A Herrel; David C Miller Journal: Cancer Date: 2017-06-30 Impact factor: 6.860
Authors: Deborah R Kaye; Caroline R Richardson; Zaojun Ye; Lindsey A Herrel; Chad Ellimoottil; David C Miller Journal: Ann Surg Oncol Date: 2017-08-17 Impact factor: 5.344
Authors: Jonathan Li; Zaojun Ye; James M Dupree; Brent K Hollenbeck; Hye Sung Min; Deborah Kaye; Lindsey A Herrel; David C Miller; Chad Ellimoottil Journal: Ann Surg Oncol Date: 2017-12-29 Impact factor: 5.344
Authors: Lindsey A Herrel; Edward C Norton; Scott R Hawken; Zaojun Ye; Brent K Hollenbeck; David C Miller Journal: Cancer Date: 2016-05-24 Impact factor: 6.860