James Stephen Krinsley1, Richard L Jones. 1. Director of Critical Care, Stamford Hospital, 190 West Broad St, Stamford, CT 06902, USA. jkrinsley@stamhealth.org
Abstract
STUDY OBJECTIVES: To assess the effect of an intensive glycemia management protocol on the cost of care of a heterogeneous population of critically ill adult patients. DESIGN: Economic analysis of a 1,600-patient "before-and-after" study of intensive glycemia management. SETTING: Fourteen-bed mixed medical-surgical adult ICU of a university-affiliated community teaching hospital. PATIENTS: Eight hundred consecutive admissions to the ICU prior to the institution of an intensive glucose management protocol were compared to the first 800 patients admitted to the ICU following institution of the protocol. INTERVENTIONS: Cost data were analyzed using the comprehensive database of the ICU as well as other hospital data repositories. MEASUREMENTS AND RESULTS: The ICU database was used to quantify the major components of the cost of care. The analysis includes costs associated with ICU and non-ICU patient days, ventilator days, and laboratory, pharmacy, and radiology services. Comparing the baseline and treatment periods, there were decreases in patient days in the ICU; ventilator days; total laboratory, pharmacy and radiology costs; and post-ICU hospital length of stay. The net annualized decrease in costs during the treatment period was USD 1,339,500, or USD 1,580 per patient. CONCLUSIONS: The institution of a program to intensively monitor glucose levels and treat even modest hyperglycemia in the ICU was associated with substantial cost savings. This finding, in conjunction with the previously demonstrated improvement in mortality and morbidity, strongly supports the adoption of this intervention as a standard of care in the ICU.
STUDY OBJECTIVES: To assess the effect of an intensive glycemia management protocol on the cost of care of a heterogeneous population of critically ill adult patients. DESIGN: Economic analysis of a 1,600-patient "before-and-after" study of intensive glycemia management. SETTING: Fourteen-bed mixed medical-surgical adult ICU of a university-affiliated community teaching hospital. PATIENTS: Eight hundred consecutive admissions to the ICU prior to the institution of an intensive glucose management protocol were compared to the first 800 patients admitted to the ICU following institution of the protocol. INTERVENTIONS: Cost data were analyzed using the comprehensive database of the ICU as well as other hospital data repositories. MEASUREMENTS AND RESULTS: The ICU database was used to quantify the major components of the cost of care. The analysis includes costs associated with ICU and non-ICU patient days, ventilator days, and laboratory, pharmacy, and radiology services. Comparing the baseline and treatment periods, there were decreases in patient days in the ICU; ventilator days; total laboratory, pharmacy and radiology costs; and post-ICU hospital length of stay. The net annualized decrease in costs during the treatment period was USD 1,339,500, or USD 1,580 per patient. CONCLUSIONS: The institution of a program to intensively monitor glucose levels and treat even modest hyperglycemia in the ICU was associated with substantial cost savings. This finding, in conjunction with the previously demonstrated improvement in mortality and morbidity, strongly supports the adoption of this intervention as a standard of care in the ICU.
Authors: Alicia Evans; Aaron Le Compte; Chia-Siong Tan; Logan Ward; James Steel; Christopher G Pretty; Sophie Penning; Fatanah Suhaimi; Geoffrey M Shaw; Thomas Desaive; J Geoffrey Chase Journal: J Diabetes Sci Technol Date: 2012-01-01
Authors: J Geoffrey Chase; Aaron LeCompte; Geoffrey M Shaw; Amy Blakemore; Jason Wong; Jessica Lin; Christopher E Hann Journal: J Diabetes Sci Technol Date: 2008-07
Authors: Etie S Moghissi; Mary T Korytkowski; Monica DiNardo; Daniel Einhorn; Richard Hellman; Irl B Hirsch; Silvio E Inzucchi; Faramarz Ismail-Beigi; M Sue Kirkman; Guillermo E Umpierrez Journal: Diabetes Care Date: 2009-05-08 Impact factor: 19.112