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Volumn 35, Issue 8, 2007, Pages 1853-1862

A revised method to assess intensive care unit clinical performance and resource utilization

Author keywords

Benchmarking; Intensive care unit performance assessment; Length of stay; Resource utilization

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL VENTILATION; CONTROLLED STUDY; FEMALE; HEALTH CARE UTILIZATION; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOSPITALIZATION; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORTALITY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; RATING SCALE;

EID: 34547662014     PISSN: 00903493     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.CCM.0000275272.57237.53     Document Type: Article
Times cited : (40)

References (43)
  • 1
    • 0036667405 scopus 로고    scopus 로고
    • An update on cost-effectiveness analysis in critical care
    • Shorr AR: An update on cost-effectiveness analysis in critical care. Curr Opin Crit Care 2002; 8:337-343
    • (2002) Curr Opin Crit Care , vol.8 , pp. 337-343
    • Shorr, A.R.1
  • 2
    • 20444452507 scopus 로고    scopus 로고
    • Daily cost of an intensive care unit day: The contribution of mechanical ventilation
    • Dasta JF, Mclaughlin TP, Moody SH, et al: Daily cost of an intensive care unit day: The contribution of mechanical ventilation. Crit Care Med 2005; 33:1266-1271
    • (2005) Crit Care Med , vol.33 , pp. 1266-1271
    • Dasta, J.F.1    Mclaughlin, T.P.2    Moody, S.H.3
  • 3
    • 85047698192 scopus 로고    scopus 로고
    • Length of stay data as a guide to hospital economic performance for ICU patients
    • Rapoport J, Teres D, Zhao Y, et al: Length of stay data as a guide to hospital economic performance for ICU patients. Med Care 2003; 41:386-397
    • (2003) Med Care , vol.41 , pp. 386-397
    • Rapoport, J.1    Teres, D.2    Zhao, Y.3
  • 4
    • 0033932726 scopus 로고    scopus 로고
    • What's in a day? Determining intensive care unit length of stay
    • Marik PE, Hedman L: What's in a day? Determining intensive care unit length of stay. Crit Care Med 2000; 28:2090-2093
    • (2000) Crit Care Med , vol.28 , pp. 2090-2093
    • Marik, P.E.1    Hedman, L.2
  • 5
    • 0029785311 scopus 로고    scopus 로고
    • The effect of managed care on ICU length of stay: Implications for medicare
    • Angus DC, Linde-Zwirble WT, Sirio CA, et al: The effect of managed care on ICU length of stay: Implications for medicare. JAMA 1996; 276:1075-1082
    • (1996) JAMA , vol.276 , pp. 1075-1082
    • Angus, D.C.1    Linde-Zwirble, W.T.2    Sirio, C.A.3
  • 6
    • 0031713710 scopus 로고    scopus 로고
    • Predicting survival, length of stay, and cost in the surgical intensive care unit: APACHE II versus ICISS
    • Osler TM, Rogers FB, Glance LG, et al: Predicting survival, length of stay, and cost in the surgical intensive care unit: APACHE II versus ICISS. J Trauma 1998; 45:234-237
    • (1998) J Trauma , vol.45 , pp. 234-237
    • Osler, T.M.1    Rogers, F.B.2    Glance, L.G.3
  • 7
    • 0037250746 scopus 로고    scopus 로고
    • Early indicators of prolonged intensive care unit stay: Impact of illness severity, physician staffing, and pre-intensive care unit length of stay
    • Higgins TL, McGee WT, Steingrub JS, et al: Early indicators of prolonged intensive care unit stay: Impact of illness severity, physician staffing, and pre-intensive care unit length of stay. Crit Care Med 2003; 31:45-51
    • (2003) Crit Care Med , vol.31 , pp. 45-51
    • Higgins, T.L.1    McGee, W.T.2    Steingrub, J.S.3
  • 8
    • 0036797923 scopus 로고    scopus 로고
    • A prospective study of prolonged stay in the intensive care unit: Predictors and impact on resource utilization
    • Arabi Y, Venkatesh S, Haddad S, et al: A prospective study of prolonged stay in the intensive care unit: Predictors and impact on resource utilization. Int J Qual Health Care 2002; 14:403-410
    • (2002) Int J Qual Health Care , vol.14 , pp. 403-410
    • Arabi, Y.1    Venkatesh, S.2    Haddad, S.3
  • 9
    • 0028023841 scopus 로고
    • A method for assessing the clinical performance and cost-effectiveness of intensive care units: A multicenter inception cohort study
    • Rapoport J, Teres D, Lemeshow S, et al: A method for assessing the clinical performance and cost-effectiveness of intensive care units: A multicenter inception cohort study. Crit Care Med 1994; 22:1385-1391
    • (1994) Crit Care Med , vol.22 , pp. 1385-1391
    • Rapoport, J.1    Teres, D.2    Lemeshow, S.3
  • 10
    • 0027422556 scopus 로고
    • Mortality Probability Models (MPM-II) based on an international cohort of intensive care unit patients
    • Lemeshow S, Teres D, Klar J, et al: Mortality Probability Models (MPM-II) based on an international cohort of intensive care unit patients. JAMA 1993; 270:2478-2486
    • (1993) JAMA , vol.270 , pp. 2478-2486
    • Lemeshow, S.1    Teres, D.2    Klar, J.3
  • 11
    • 0033959777 scopus 로고    scopus 로고
    • Measuring hospital efficiency: A comparison of two approaches
    • Chirikos TN, Sear AM: Measuring hospital efficiency: A comparison of two approaches. Health Serv Res 2000; 34:1389-1408
    • (2000) Health Serv Res , vol.34 , pp. 1389-1408
    • Chirikos, T.N.1    Sear, A.M.2
  • 12
    • 0036743113 scopus 로고    scopus 로고
    • Rating the quality of intensive care units: Is it a function of the intensive care unit scoring system?
    • Glance LG, Osler TM, Dick A: Rating the quality of intensive care units: Is it a function of the intensive care unit scoring system? Crit Care Med 2002; 30:1976-1982
    • (2002) Crit Care Med , vol.30 , pp. 1976-1982
    • Glance, L.G.1    Osler, T.M.2    Dick, A.3
  • 13
    • 85047698192 scopus 로고    scopus 로고
    • Length of stay data as a guide to hospital economic performance for ICU patients
    • Rapoport J, Teres D, Zhao Y, et al: Length of stay data as a guide to hospital economic performance for ICU patients. Med Care 2003; 41:386-397
    • (2003) Med Care , vol.41 , pp. 386-397
    • Rapoport, J.1    Teres, D.2    Zhao, Y.3
  • 15
    • 0036884769 scopus 로고    scopus 로고
    • Project IMPACT Clinical Implementation Committee. Project IMPACT: Results from a pilot validity study of a new observational database
    • Cook SF, Visscher WA, Hobbs CL, et al: Project IMPACT Clinical Implementation Committee. Project IMPACT: Results from a pilot validity study of a new observational database. Crit Care Med 2002; 30:2765-2770
    • (2002) Crit Care Med , vol.30 , pp. 2765-2770
    • Cook, S.F.1    Visscher, W.A.2    Hobbs, C.L.3
  • 16
    • 34547691944 scopus 로고    scopus 로고
    • Project Impact CCM, Accessed on November 30, 2005
    • Project Impact CCM. www.cerner.com/piccm. Accessed on November 30, 2005
  • 18
    • 84958839520 scopus 로고
    • A simple test for heteroskedasticity and random coefficient variation
    • Breusch T, Pagan A: A simple test for heteroskedasticity and random coefficient variation. Econometrics 1979; 47:1287-11294
    • (1979) Econometrics , vol.47 , pp. 1287-11294
    • Breusch, T.1    Pagan, A.2
  • 19
    • 84965537977 scopus 로고
    • Some specification tests for the linear regression model
    • Long JS, Trivedi PK: Some specification tests for the linear regression model. Soc Methods Res 1992; 21:161-204
    • (1992) Soc Methods Res , vol.21 , pp. 161-204
    • Long, J.S.1    Trivedi, P.K.2
  • 20
    • 0001872828 scopus 로고
    • Goodness of link tests for generalized linear models
    • Pregibon D: Goodness of link tests for generalized linear models. Appl Stat 1980; 29:15-24
    • (1980) Appl Stat , vol.29 , pp. 15-24
    • Pregibon, D.1
  • 22
    • 34547682623 scopus 로고    scopus 로고
    • Estimation and post-estimation commands. In Stata User's Guide Release 8. College Station, TX, Stata Press, 2003, pp 278-282
    • Estimation and post-estimation commands. In Stata User's Guide Release 8. College Station, TX, Stata Press, 2003, pp 278-282
  • 23
    • 84964203940 scopus 로고
    • Bootstrap measures for standard errors, confidence intervals, and other measures of statistical accuracy
    • Efron B, Tibshirani R: Bootstrap measures for standard errors, confidence intervals, and other measures of statistical accuracy. Stat Sci 1986; 1:54-77
    • (1986) Stat Sci , vol.1 , pp. 54-77
    • Efron, B.1    Tibshirani, R.2
  • 25
    • 0002062528 scopus 로고
    • An introduction to bootstrap methods: Examples and ideas
    • Fox J, Long JS Eds, Newbury Park, CA, Sage
    • Stine R: An introduction to bootstrap methods: Examples and ideas. In: Modern Methods of Data Analysis. Fox J, Long JS (Eds). Newbury Park, CA, Sage, 1990, pp 353-373
    • (1990) Modern Methods of Data Analysis , pp. 353-373
    • Stine, R.1
  • 26
    • 0036742127 scopus 로고    scopus 로고
    • If most intensive care units are graduating with honors, is it genuine quality or grade inflation?
    • Popovich MJ: If most intensive care units are graduating with honors, is it genuine quality or grade inflation? Crit Care Med 2002; 30:2145-2146
    • (2002) Crit Care Med , vol.30 , pp. 2145-2146
    • Popovich, M.J.1
  • 27
    • 31744439227 scopus 로고    scopus 로고
    • Mortality models are not like fine wine
    • Kramer AA: Mortality models are not like fine wine. Crit Care 2005; 9:636-637
    • (2005) Crit Care , vol.9 , pp. 636-637
    • Kramer, A.A.1
  • 28
    • 33646592518 scopus 로고    scopus 로고
    • Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients
    • Zimmerman JE, Kramer AA, McNair DS, et al: Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients. Crit Care Med, 2006; 34:1297-1310
    • (2006) Crit Care Med , vol.34 , pp. 1297-1310
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3
  • 29
    • 23744504972 scopus 로고    scopus 로고
    • Intensivist-to-bed ratio: Association with outcomes in the medical ICU
    • Dara SI, Afessa B: Intensivist-to-bed ratio: Association with outcomes in the medical ICU. Chest 2005; 128:567-572
    • (2005) Chest , vol.128 , pp. 567-572
    • Dara, S.I.1    Afessa, B.2
  • 30
    • 0346272665 scopus 로고    scopus 로고
    • Daily multidisciplinary rounds shorten length of stay for trauma patients
    • Dutton RP, Cooper C, Jones A, et al: Daily multidisciplinary rounds shorten length of stay for trauma patients. J Trauma 2003; 55:913-919
    • (2003) J Trauma , vol.55 , pp. 913-919
    • Dutton, R.P.1    Cooper, C.2    Jones, A.3
  • 31
    • 0037032390 scopus 로고    scopus 로고
    • Physician staffing patterns and critical care outcomes in critically ill patients: A systematic review
    • Pronovost PJ, Angus DC, Dorman T, et al: Physician staffing patterns and critical care outcomes in critically ill patients: a systematic review. JAMA 2002; 288:2151-2162
    • (2002) JAMA , vol.288 , pp. 2151-2162
    • Pronovost, P.J.1    Angus, D.C.2    Dorman, T.3
  • 32
    • 23844542129 scopus 로고    scopus 로고
    • Using a bundle approach to improve ventilator care processes and reduce ventilator-associated pneumonia
    • Resar R, Pronovost P, Haraden C, et al: Using a bundle approach to improve ventilator care processes and reduce ventilator-associated pneumonia. Jt Comm J Qual Patient Saf 2005; 31:243-248
    • (2005) Jt Comm J Qual Patient Saf , vol.31 , pp. 243-248
    • Resar, R.1    Pronovost, P.2    Haraden, C.3
  • 33
    • 0037635418 scopus 로고    scopus 로고
    • The use of benchmarking to identify top performing critical care units: A preliminary assessment of their policies and practices
    • Zimmerman JE, Alzola C, Von Reuden KT, et al: The use of benchmarking to identify top performing critical care units: A preliminary assessment of their policies and practices. J Crit Care 2003; 18:76-86
    • (2003) J Crit Care , vol.18 , pp. 76-86
    • Zimmerman, J.E.1    Alzola, C.2    Von Reuden, K.T.3
  • 34
    • 33646585120 scopus 로고    scopus 로고
    • Recalibration of risk prediction models in a large Multicenter cohort of admissions to adult, general critical care units in the United Kingdom
    • Harrison DA, Brady AR, Parry GJ, et al: Recalibration of risk prediction models in a large Multicenter cohort of admissions to adult, general critical care units in the United Kingdom. Crit Care Med 2006; 34:1378-1388
    • (2006) Crit Care Med , vol.34 , pp. 1378-1388
    • Harrison, D.A.1    Brady, A.R.2    Parry, G.J.3
  • 35
    • 0036517984 scopus 로고    scopus 로고
    • Using a collaborative weaning plan to decrease duration of mechanical ventilation and length of stay in the intensive care unit for patients receiving long-term ventilation
    • Henneman E, Dracup K, Ganz T, et al: Using a collaborative weaning plan to decrease duration of mechanical ventilation and length of stay in the intensive care unit for patients receiving long-term ventilation. Am J Crit Care 2002; 11:132-140
    • (2002) Am J Crit Care , vol.11 , pp. 132-140
    • Henneman, E.1    Dracup, K.2    Ganz, T.3
  • 36
    • 3342922376 scopus 로고    scopus 로고
    • Effectiveness and efficiency of intensive care medicine: Variable costs in different diagnosis groups
    • Iapichino G, Radrizzani D, Simini B, et al: Effectiveness and efficiency of intensive care medicine: Variable costs in different diagnosis groups. Acta Anaesthesiol Scand 2004; 48:820-826
    • (2004) Acta Anaesthesiol Scand , vol.48 , pp. 820-826
    • Iapichino, G.1    Radrizzani, D.2    Simini, B.3
  • 37
    • 0029932062 scopus 로고    scopus 로고
    • Utility of illness severity scoring for prediction of prolonged surgical critical care
    • Barie PS, Hydo LJ, Fischer E: Utility of illness severity scoring for prediction of prolonged surgical critical care. J Trauma 1996; 40:513-518
    • (1996) J Trauma , vol.40 , pp. 513-518
    • Barie, P.S.1    Hydo, L.J.2    Fischer, E.3
  • 38
    • 0036617741 scopus 로고    scopus 로고
    • Concurrent prediction of hospital mortality and length of stay from risk factors on admission
    • Clark DE, Ryan LM: Concurrent prediction of hospital mortality and length of stay from risk factors on admission. Health Serv Res 2002; 37:631-645
    • (2002) Health Serv Res , vol.37 , pp. 631-645
    • Clark, D.E.1    Ryan, L.M.2
  • 39
    • 0029931329 scopus 로고    scopus 로고
    • PRISM III: An updated Pediatric Risk of Mortality Score
    • Pollack MM, Patel KM, Ruttimann UE: PRISM III: An updated Pediatric Risk of Mortality Score. Crit Care Med 1996; 24:743-752
    • (1996) Crit Care Med , vol.24 , pp. 743-752
    • Pollack, M.M.1    Patel, K.M.2    Ruttimann, U.E.3
  • 40
    • 0037872686 scopus 로고    scopus 로고
    • The Society of Thoracic Surgeons: 30-Day operative mortality and morbidity risk models
    • Shroyer AL, Coombs LP, Peterson ED, et al: The Society of Thoracic Surgeons: 30-Day operative mortality and morbidity risk models. Ann Thorac Surg 2003; 75:1856-1864
    • (2003) Ann Thorac Surg , vol.75 , pp. 1856-1864
    • Shroyer, A.L.1    Coombs, L.P.2    Peterson, E.D.3
  • 41
    • 33645105464 scopus 로고    scopus 로고
    • Variable costs of ICU patients: A multicenter prospective study
    • Rossi C, Simini B, Brazzi L, et al: Variable costs of ICU patients: A multicenter prospective study. Intensive Care Med 2006; 32:545-552
    • (2006) Intensive Care Med , vol.32 , pp. 545-552
    • Rossi, C.1    Simini, B.2    Brazzi, L.3
  • 42
    • 2942565859 scopus 로고    scopus 로고
    • Intensive care unit physician staffing: Financial modeling of the Leapfrog standard
    • Pronovost PJ, Needham DM, Waters H, et al: Intensive care unit physician staffing: Financial modeling of the Leapfrog standard. Crit Care Med 2004; 32:1247-1253
    • (2004) Crit Care Med , vol.32 , pp. 1247-1253
    • Pronovost, P.J.1    Needham, D.M.2    Waters, H.3
  • 43
    • 13244258275 scopus 로고    scopus 로고
    • Predicting patient outcomes, futility, and resource utilization in the intensive care unit: The role of severity scoring systems and general outcome prediction models
    • Mendez-Tellez PA, Dorman T: Predicting patient outcomes, futility, and resource utilization in the intensive care unit: The role of severity scoring systems and general outcome prediction models. Mayo Clin Proc 2005; 80:161-163
    • (2005) Mayo Clin Proc , vol.80 , pp. 161-163
    • Mendez-Tellez, P.A.1    Dorman, T.2


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