RSS-Feed abonnieren
DOI: 10.1055/s-0031-1286183
Measuring Patient Safety in Neonatology
Publikationsverlauf
05. Juli 2011
05. Juli 2011
Publikationsdatum:
30. August 2011 (online)

Abstract
Measurement of patient safety serves to identify opportunities to improve safety within a neonatal intensive care unit (NICU), compare the safety of care provided by different NICUs, determine changes in response to safety interventions or programs, follow safety trends over time, and potentially deny payment for specific events. The ideal patient safety measures are rates of events derived from surveillance with valid and reliable detection of numerators (errors or adverse events) and denominators (the opportunities for errors or adverse events to occur). Methods used to identify these numerators and denominators include reporting, direct observation, videotaping, chart review, trigger tools, and automated methods. However, there are significant methodological and practical (feasibility) challenges to the accurate and reliable determination of rates of errors and adverse events. These include failure to detect and document such events, surveillance bias, lack of consistent definitions, frequent requirement for judgment in identifying and classifying challenges (which introduces interrater inconsistency), and need for significant additional resources.
-
References
- 1 Pronovost PJ, Sexton JB, Pham JC, Goeschel CA, Winters BD, Miller MR. Measurement of quality and assurance of safety in the critically ill. Clin Chest Med 2009; 30: 169-179; x
- 2 Hulley SB, Cummings SR, Browner WS, Grady D, Hearst N, Newman TB. Designing clinical research: an epidemiologic approach. Philadelphia: : Lippincott Williams & Wilkins; ; 2001
- 3 Institute of Medicine Committee on Quality Health Care in America. To Err Is Human: Building a Safer Health System. Washington, DC: : National Academy Press; ; 2000
- 4 Narayanan M, Schlueter M, Clyman RI. Incidence and outcome of a 10-fold indomethacin overdose in premature infants. J Pediatr 1999; 135: 105-107
- 5 Massachusetts Coalition for the Prevention of Medical Errors. When things go wrong. Responding to adverse events. A consensus statement of the Harvard Hospitals. Burlington, MA: : Massachusetts Coalition for the Prevention of Medical Errors; ; 2006. Available at: http://www.macoalition.org/documents/respondingToAdverseEvents.pdf . Accessed August 2011
- 6 Graber M. Diagnostic errors in medicine: a case of neglect. Jt Comm J Qual Patient Saf 2005; 31: 106-113
- 7 The Joint Commission. Sentinel event. Available at: http://www.jointcommission.org/sentinel_event.aspx . Accessed August 2011
- 8 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
- 9 Thomas EJ, Studdert DM, Burstin HR , et al. Incidence and types of adverse events and negligent care in Utah and Colorado. Med Care 2000; 38: 261-271
- 10 Reason J. Human error: models and management. BMJ 2000; 320: 768-770
- 11 Centers for Disease Control and Prevention. National Healthcare Safety Network (NHSN). Available at: http://www.cdc.gov/nhsn/ . Accessed August 2011
- 12 Thomas EJ, Petersen LA. Measuring errors and adverse events in health care. J Gen Intern Med 2003; 18: 61-67
- 13 Pronovost PJ, Miller MR, Wachter RM. Tracking progress in patient safety: an elusive target. JAMA 2006; 296: 696-699
- 14 Haut ER, Pronovost PJ. Surveillance bias in outcomes reporting. JAMA 2011; 305: 2462-2463
- 15 de Vries EN, Ramrattan MA, Smorenburg SM, Gouma DJ, Boermeester MA. The incidence and nature of in-hospital adverse events: a systematic review. Qual Saf Health Care 2008; 17: 216-223
- 16 Landrigan CP, Parry GJ, Bones CB, Hackbarth AD, Goldmann DA, Sharek PJ. Temporal trends in rates of patient harm resulting from medical care. N Engl J Med 2010; 363: 2124-2134
- 17 Snijders C, van Lingen RA, Molendijk A, Fetter WP. Incidents and errors in neonatal intensive care: a review of the literature. Arch Dis Child Fetal Neonatal Ed 2007; 92 (5) F391-F398
- 18 Ligi I, Arnaud F, Jouve E, Tardieu S, Sambuc R, Simeoni U. Iatrogenic events in admitted neonates: a prospective cohort study. Lancet 2008; 371 (9610) 404-410
- 19 Miller MR, Robinson KA, Lubomski LH, Rinke ML, Pronovost PJ. Medication errors in paediatric care: a systematic review of epidemiology and an evaluation of evidence supporting reduction strategy recommendations. Qual Saf Health Care 2007; 16: 116-126
- 20 Andrews LB, Stocking C, Krizek T , et al. An alternative strategy for studying adverse events in medical care. Lancet 1997; 349: 309-313
- 21 Gerberding JL. Hospital-onset infections: a patient safety issue. Ann Intern Med 2002; 137: 665-670
- 22 Weinstein RA. Nosocomial infection update. Emerg Infect Dis 1998; 4: 416-420
- 23 Stoll BJ, Hansen NI, Adams-Chapman I , et al; National Institute of Child Health and Human Development Neonatal Research Network. Neurodevelopmental and growth impairment among extremely low-birth-weight infants with neonatal infection. JAMA 2004; 292: 2357-2365
- 24 Scott II RD. The direct medical costs of healthcare-associated infections in U.S. hospitals and the benefits of prevention. Available at: http://www.cdc.gov/ncidod/dhqp/pdf/Scott_CostPaper.pdf . Accessed August 2011
- 25 Stone PW. Economic burden of healthcare-associated infections: an American perspective. Expert Rev Pharmacoecon Outcomes Res 2009; 9: 417-422
- 26 Newman-Toker DE, Pronovost PJ. Diagnostic errors—the next frontier for patient safety. JAMA 2009; 301: 1060-1062
- 27 Berner ES, Graber ML. Overconfidence as a cause of diagnostic error in medicine. Am J Med 2008; 121 (5 Suppl) S2-S23
- 28 Weick K, Sutcliffe K. Managing the Unexpected: Assuring High Performance in an Age of Complexity, 1st ed. Ann Arbor, MI: : University of Michigan Business School; ; 2001
- 29 Health and Safety Commission (HSC). Organizing for Safety: Third Report of the Human Factors Study Group of ACSNI. Sudbury, MA: : HSE Books; ; 1993
- 30 Kao LS, Thomas EJ. Navigating towards improved surgical safety using aviation-based strategies. J Surg Res 2008; 145: 327-335
- 31 Thomas EJ, Sexton JB, Neilands TB, Frankel A, Helmreich RL. The effect of executive walk rounds on nurse safety climate attitudes: a randomized trial of clinical units [ISRCTN85147255] [corrected]. BMC Health Serv Res 2005; 5: 28
- 32 Colla JB, Bracken AC, Kinney LM, Weeks WB. Measuring patient safety climate: a review of surveys. Qual Saf Health Care 2005; 14: 364-366
- 33 Flin R, Burns C, Mearns K, Yule S, Robertson EM. Measuring safety climate in health care. Qual Saf Health Care 2006; 15: 109-115
- 34 Paine LA, Rosenstein BJ, Sexton JB, Kent P, Holzmueller CG, Pronovost PJ. Assessing and improving safety culture throughout an academic medical centre: a prospective cohort study. Qual Saf Health Care 2010; 19: 547-554
- 35 Sexton JB, Helmreich RL, Neilands TB , et al. The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research. BMC Health Serv Res 2006; 6: 44
- 36 University of Texas–Memorial Hermann. Center for Healthcare Quality and Safety. Products. Available at: http://www.uth.tmc.edu/schools/med/imed/patient_safety/products.html . Accessed August 2011
- 37 U.S. Department of Health and Human Services. Agency for Healthcare Research and Quality. Surveys on patient safety culture. Available at: http://www.ahrq.gov/qual/patientsafetyculture/