Variation exists in rates of admission to intensive care units for heart failure patients across hospitals in the United States

Circulation

Volumn 127, Issue 8, 2013, Pages 923-929

  Safavi, Kyan C ^a   Dharmarajan, Kumar ^b   Kim, Nancy ^a,c   Strait, Kelly M ^a,c   Li, Shu Xia ^a,c   Chen, Serene I ^a   Lagu, Tara ^d,e   Krumholz, Harlan M ^a,c,f  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b NewYork Presbyterian Hospital   (United States)

^c YALE NEW HAVEN HOSPITAL   (United States)

^d BAYSTATE MEDICAL CENTER   (United States)

^e TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f YALE UNIVERSITY   (United States)

Author keywords

heart failure; mortality

Indexed keywords

HYPERTENSIVE AGENT; VASODILATOR AGENT;

ADULT; ARTICLE; ARTIFICIAL VENTILATION; CARDIAC PATIENT; CONTROLLED STUDY; HEART FAILURE; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MORTALITY; POSITIVE END EXPIRATORY PRESSURE; PRIORITY JOURNAL; PULMONARY ARTERY CATHETER; TREATMENT OUTCOME; UNITED STATES;

COHORT STUDIES; CROSS-SECTIONAL STUDIES; DATABASES, FACTUAL; FEMALE; HEART FAILURE; HOSPITAL MORTALITY; HOSPITALS; HUMANS; INTENSIVE CARE UNITS; MALE; PATIENT ADMISSION; UNITED STATES;

EID: 84874453717     PISSN: 00097322     EISSN: 15244539     Source Type: Journal    
DOI: 10.1161/CIRCULATIONAHA.112.001088     Document Type: Article

References (40)

1. Adams KF Jr, Fonarow GC, Emerman CL, LeJemtel TH, Costanzo MR, Abraham WT, Berkowitz RL, Galvao M, Horton DP; ADHERE Scientific Advisory Committee and Investigators. Characteristics and outcomes of patients hospitalized for heart failure in the United States: Rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE). Am Heart J. 2005;149:209-216.
2. Chalfin DB. Cost-effectiveness analysis in health care. Hosp Cost Manag Account. 1995;7:1-8.
3. Halpern NA, Bettes L, Greenstein R. Federal and nationwide intensive care units and healthcare costs: 1986-1992. Crit Care Med. 1994;22:2001-2007.
4. Hunt SA, Abraham WT, Chin MH, Feldman AM, Francis GS, Ganiats TG, Jessup M, Konstam MA, Mancini DM, Michl K, Oates JA, Rahko PS, Silver MA, Stevenson LW, Yancy CW; American College of Cardiology Foundation; American Heart Association. 2009 Focused update incorporated into the ACC/AHA 2005 guidelines for the diagnosis and management of heart failure in adults: A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines Developed in Collaboration With the International Society for Heart and Lung Transplantation. J Am Coll Cardiol. 2009;53:e1-e90.
5. Dlugacz YD, Stier L, Lustbader D, Jacobs MC, Hussain E, Greenwood A. Expanding a performance improvement initiative in critical care from hospital to system. Jt Comm J Qual Improv. 2002;28:419-434.
6. Junker C, Zimmerman JE, Alzola C, Draper EA, Wagner DP. A multicenter description of intermediate-care patients: Comparison with ICU low-risk monitor patients. Chest. 2002;121:1253-1261.
7. Zimmerman JE, Wagner DP, Knaus WA, Williams JF, Kolakowski D, Draper EA. The use of risk predictions to identify candidates for intermediate care units: Implications for intensive care utilization and cost. Chest. 1995;108:490-499.
8. Premier, Inc. Mission/vision: What Premier does. https://premierinc.com/ about/mission/index.jsp. Accessed July 10, 2012.
9. Saczynski JS, Andrade SE, Harrold LR, Tjia J, Cutrona SL, Dodd KS, Goldberg RJ, Gurwitz JH. A systematic review of validated methods for identifying heart failure using administrative data. Pharmacoepidemiol Drug Saf. 2012;21(suppl 1):129-140.
10. Keenan PS, Normand SL, Lin Z, Drye EE, Bhat KR, Ross JS, Schuur JD, Stauffer BD, Bernheim SM, Epstein AJ, Wang Y, Herrin J, Chen J, Federer JJ, Mattera JA, Wang Y, Krumholz HM. An administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure. Circ Cardiovasc Qual Outcomes. 2008;1:29-37.
11. Krumholz HM, Lin Z, Drye EE, Desai MM, Han LF, Rapp MT, Mattera JA, Normand SL. An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction. Circ Cardiovasc Qual Outcomes. 2011;4:243-252.
12. Lindenauer PK, Normand SL, Drye EE, Lin Z, Goodrich K, Desai MM, Bratzler DW, O'Donnell WJ, Metersky ML, Krumholz HM. Development, validation, and results of a measure of 30-day readmission following hospitalization for pneumonia. J Hosp Med. 2011;6:142-150.
13. Krumholz HM, Wang Y, Mattera JA, Wang Y, Han LF, Ingber MJ, Roman S, Normand SL. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction. Circulation. 2006;113:1683-1692.
14. Bratzler DW, Normand SL, Wang Y, O'Donnell WJ, Metersky M, Han LF, Rapp MT, Krumholz HM. An administrative claims model for profiling hospital 30-day mortality rates for pneumonia patients. PLoS ONE. 2011;6:e17401.
15. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8-27.
16. R Development Core Team. R: A language and environment for statistical computing; 2011.
17. Oeyen SG, Vandijck DM, Benoit DD, Annemans L, Decruyenaere JM. Quality of life after intensive care: A systematic review of the literature. Crit Care Med. 2010;38:2386-2400.
18. Saint S, Matthay MA. Risk reduction in the intensive care unit. Am J Med. 1998;105:515-523.
19. Davydow DS, Gifford JM, Desai SV, Needham DM, Bienvenu OJ. Posttraumatic stress disorder in general intensive care unit survivors: A systematic review. Gen Hosp Psychiatry. 2008;30:421-434.
20. Ringdal M, Plos K, Lundberg D, Johansson L, Bergbom I. Outcome after injury: Memories, health-related quality of life, anxiety, and symptoms of depression after intensive care. J Trauma. 2009;66:1226-1233.
21. Bell CM, Brener SS, Gunraj N, Huo C, Bierman AS, Scales DC, Bajcar J, Zwarenstein M, Urbach DR. Association of ICU or hospital admission with unintentional discontinuation of medications for chronic diseases. JAMA. 2011;306:840-847.
22. Pisani MA, Murphy TE, Van Ness PH, Araujo KL, Inouye SK. Characteristics associated with delirium in older patients in a medical intensive care unit. Arch Intern Med. 2007;167:1629-1634.
23. Milbrandt EB, Kersten A, Rahim MT, Dremsizov TT, Clermont G, Cooper LM, Angus DC, Linde-Zwirble WT. Growth of intensive care unit resource use and its estimated cost in Medicare. Crit Care Med. 2008;36:2504-2510.
24. Jacobs P, Noseworthy T. Controlling costs in the ICU. Dimens Health Serv. 1990;67:18-20.
25. Jacobs P, Noseworthy TW. National estimates of intensive care utilization and costs: Canada and the United States. Crit Care Med. 1990;18:1282-1286.
26. Noseworthy TW, Konopad E, Shustack A, Johnston R, Grace M. Cost accounting of adult intensive care: Methods and human and capital inputs. Crit Care Med. 1996;24:1168-1172.
27. Weintraub NL, Collins SP, Pang PS, Levy PD, Anderson AS, Arslanian-Engoren C, Gibler WB, McCord JK, Parshall MB, Francis GS, Gheorghiade M; American Heart Association Council on Clinical Cardiology and Council on Cardiopulmonary, Critical Care, Perioperative and Resuscitation. Acute heart failure syndromes: Emergency department presentation, treatment, and disposition: Current approaches and future aims: A scientific statement from the American Heart Association. Circulation. 2010;122:1975-1996.
28. Guidelines for intensive care unit admission, discharge, and triage: Task Force of the American College of Critical Care Medicine, Society of Critical Care Medicine. Crit Care Med. 1999;27:633-638.
29. Zimmerman JE, Kramer AA. A model for identifying patients who may not need intensive care unit admission. J Crit Care. 2010;25:205-213.
30. Peterson PN, Rumsfeld JS, Liang L, Albert NM, Hernandez AF, Peterson ED, Fonarow GC, Masoudi FA; American Heart Association Get With The Guidelines- Heart Failure Program. A validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association Get With The Guidelines program. Circ Cardiovasc Qual Outcomes. 2010;3:25-32.
31. Hsieh M, Auble TE, Yealy DM. Validation of the Acute Heart Failure Index. Ann Emerg Med. 2008;51:37-44.
32. Roberts RR, Frutos PW, Ciavarella GG, Gussow LM, Mensah EK, Kampe LM, Straus HE, Joseph G, Rydman RJ. Distribution of variable vs fixed costs of hospital care. JAMA. 1999;281:644-649.
33. Taheri PA, Butz DA. Health care as a fixed-cost industry: Implications for delivery. Surg Innov. 2005;12:365-371.
34. Rauh SS, Wadsworth EB, Weeks WB, Weinstein JN. The savings illusion: Why clinical quality improvement fails to deliver bottom-line results. N Engl J Med. 2011;365:e48.
35. Lee DS, Donovan L, Austin PC, Gong Y, Liu PP, Rouleau JL, Tu JV. Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research. Med Care. 2005;43:182-188.
36. Quan H, Parsons GA, Ghali WA. Validity of information on comorbidity derived from ICD-9-CCM administrative data. Med Care. 2002;40:675-685.
37. Li B, Evans D, Faris P, Dean S, Quan H. Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases. BMC Health Serv Res. 2008;8:12.
38. Litvak E, Bisognano M. More patients, less payment: Increasing hospital efficiency in the aftermath of health reform. Health Aff (Millwood). 2011;30:76-80.
39. Yasaitis L, Fisher ES, Skinner JS, Chandra A. Hospital quality and intensity of spending: Is there an association? Health Aff (Millwood). 2009;28:w566-w572.
40. Jha AK, Orav EJ, Dobson A, Book RA, Epstein AM. Measuring efficiency: The association of hospital costs and quality of care. Health Aff (Millwood). 2009;28:897-906.