Hospital workload and adverse events

Medical Care

Volumn 45, Issue 5, 2007, Pages 448-455

  Weissman, Joel S ^a,b   Rothschild, Jeffrey M ^d   Bendavid, Eran ^h   Sprivulis, Peter ^c   Cook, E Francis ^d   Evans, R Scott ^e   Kaganova, Yevgenia ^a   Bender, Melissa ^a   David Kasdan, Joann ^a   Haug, Peter ^e   Lloyd, Jim ^e   Selbovitz, Leslie G ^f   Murff, Harvey J ^g   Bates, David W ^d  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e LDS HOSPITAL   (United States)

^f NEWTON WELLESLEY HOSPITAL   (United States)

^g VANDERBILT UNIVERSITY   (United States)

^h STANFORD UNIVERSITY   (United States)

Author keywords

Adverse events; Patient safety; Workload

Indexed keywords

AGED; ARTICLE; DIAGNOSIS RELATED GROUP; FEMALE; HEALTH CARE QUALITY; HOSPITAL BED UTILIZATION; HOSPITAL PERSONNEL; HUMAN; MALE; MEDICAL AUDIT; MEDICAL ERROR; MIDDLE AGED; POISSON DISTRIBUTION; PSYCHOLOGICAL ASPECT; SAFETY; STANDARD; STATISTICS; TEACHING HOSPITAL; UNITED STATES; UTILIZATION REVIEW; WORKLOAD;

AGED; BED OCCUPANCY; DIAGNOSIS-RELATED GROUPS; FEMALE; HOSPITALS, TEACHING; HUMANS; MALE; MEDICAL AUDIT; MEDICAL ERRORS; MIDDLE AGED; PERSONNEL, HOSPITAL; POISSON DISTRIBUTION; QUALITY OF HEALTH CARE; SAFETY MANAGEMENT; UNITED STATES; WORKLOAD;

EID: 34247347447     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.mlr.0000257231.86368.09     Document Type: Article

References (37)

1. Institute of Medicine. To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press; 2000.
2. Institute of Medicine. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academy Press; 2001.
3. Bates DW, O'Neil AC, Petersen LA, et al. Evaluation of screening criteria for adverse events in medical patients. Med Care. 1995;33:452-462.
4. Iezzoni LI, Daley J, Heeren T, et al. Identifying complications of care using administrative data. Med Care. 1994;32:700-715.
5. Miller MR, Elixhauser A, Zhan C, et al. Patient safety indicators: using administrative data to identify potential patient safety concerns. Health Serv Res. 2001;36:110-132.
6. Wilson RM, Runciman WB, Gibberd RW, et al. The Quality in Australian Health Care Study. Med J Australia. 1995;163:458-471.
7. U.S. Centers for Disease Control and Prevention. National Nosocomial Infections Surveillance System. Atlanta, GA: CDC; 2005.
8. Bergstom N, Bennet M, Carlson C. Treatment of Pressure Ulcers. Clinical Practice Guideline, No. 15: AHCPR; 1994. No. 95-0652.
9. Bates DW, Pruess K, Souney P, et al. Serious falls in hospitalized patients: correlates and resource utilization. Am J Med. 1995;99:137-143.
10. Mermel LA, Farr BM, Sherertz RJ, et al. Guidelines for the management of intravascular catheter-related infections. Clin Infect Dis. 2001;32:1249-1272.
11. American Thoracic Society. The diagnostic approach to acute venous thromboembolism. Am J Respir Crit Care Med. 1999;100:1043-1066.
12. American Thoracic Society. Hospital-acquired pneumonia in adults: diagnosis, assessment of severity, initial antimicrobial therapy, and preventative strategies Consensus Statement. Am J Respir Crit Care Med. 1995;15:171-186.
13. American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Crit Care Med. 1992;20:864-874.
14. Luepker RV, Apple FS, Christenson RH, et al. Case definitions for acute coronary heart disease in epidemiology and clinical research studies: a statement from the AHA Council on Epidemiology and Prevention; AHA Statistics Committee; World Heart Federation Council on Epidemiology and Prevention; the European Society of Cardiology Working Group on Epidemiology and Prevention; Centers for Disease Control and Prevention; and the National Heart, Lung, and Blood Institute. Circulation. 2003;108:2543-2549.
15. Levy MM, Fink MP, Marshall JC, et al. 2001 SCCM/ESICM/ACCP/ ATS/SIS International Sepsis Definitions Conference. Crit Care Med. 2003;31:1250-1256.
16. Grossman RF, Fein A. Evidence-based assessment of diagnostic tests for ventilator-associated pneumonia. Executive summary. Chest. 2000;117(4 Suppl 2):177S-181S.
17. NNIS. National Nosocomial Infections Surveillance (NNIS) System report, data summary from January 1990-May 1999, issued June 1999. Am J Infect Control. 1999;27:520-532.
18. Bates DW, Cullen DJ, Laird N, et al. Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group [see comments]. JAMA. 1995;274:29-34.
19. Brennan TA, Leape LL, Laird NM, et al. Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. N Engl J Med. 1991;324:370-376.
20. Leape LL, Brennan TA, Laird N, et al. The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. N Engl J Med. 1991;324:377-384.
21. Thomas EJ, Burstin HR, Orav EJ, et al. Incidence of and risk factors for adverse events and negligent care in Colorado and Utah in 1992. J Gen Intern Med. 1997;12(Suppl 1):81.
22. Forster AJ, Murff HJ, Peterson JF, et al. Adverse drug events occurring following hospital discharge. J Gen Intern Med. 2005;20:317-323.
23. Forster AJ, Murff HJ, Peterson JF, et al. The incidence and severity of adverse events affecting patients after discharge from the hospital. Ann Intern Med. 2003;138:161-167.
24. Rothberg MB, Abraham I, Lindenauer PK, et al. Improving nurse-topatient staffing ratios as a cost-effective safety intervention. Med Care. 2005;43:785-791.
25. Kleinbaum DG, Kupper LL, Muller KE. Applied Regression Analysis and Other Multivariable Methods. 2nd ed. Boston, MA: PWS-Kent Pub. Co.; 1988.
26. Rothschild JM, Landrigan CP, Cronin JW, et al. The Critical Care Safety Study: the incidence and nature of adverse events and serious medical errors in intensive care. Crit Care Med. 2005;33:1694-1700.
27. Perrow C. Normal Accidents: Living With High-Risk Technologies. New York, NY: Basic Books; 1984.
28. Rudolph JW, Repenning NP. Disaster dynamics: understanding the role of quantity in organizational collapse. Admin Sci Q. 2002;47:1-30.
29. Richardson D. Increase in 10-day mortality associated with ED overcrowding. Med J Aust. 2006;184:213-216.
30. Sprivulis P, Da Silva J, Jacobs I, et al. The association between hospital overcrowding and mortality among patients admitted via Western Australian emergency departments. Med J Aust. 2006;184:208-212.
31. Bagust A, Place M, Posnett JW. Dynamics of bed use in accommodating emergency admissions: stochastic simulation model. BMJ. 1999;319:155-158.
32. Evans RS, Lloyd IF, Stoddard GJ, et al. Risk factors for adverse drug events: a 10-year analysis. Ann Pharmacother. 2005;39:1161-1168.
33. Bates DW, Evans RS, Murff H, et al. Detecting adverse events using information technology. J Am Med Inform Assoc. 2003;10:115-128.
34. Bates DW, Evans RS, Murff H, et al. Policy and the future of adverse event detection using information technology. J Am Med Inform Assoc. 2003;10:226-228.
35. Payne TH, Savarino J, Marshall R, et al. Use of a clinical event monitor to prevent and detect medication errors. Proc AMIA Symp. 2000:640-644.
36. Brown S, Black K, Mrochek S, et al. RADARx: Recognizing, assessing, and documenting adverse Rx events. Proc AMIA Symp. 2000:101-105.
37. Glassman PA, Simon B, Belperio P, et al. Improving recognition of drug interactions: benefits and barriers to using automated drug alerts. Med Care. 2002;40:1161-1171.