BACKGROUND: With the rapid implementation of cystic fibrosis (CF) newborn screening (NBS), quality improvement (QI) has become essential to identify and prevent errors. Using Process Failure Modes and Effects Analysis (PFMEA), we adapted this method to determine if it could be applied to discover and rank high priority QI opportunities. METHODS: Site visits to three programmes were conducted, and PFMEA exercises were accomplished in Colorado, Massachusetts and Wisconsin with 23 experienced professionals. During each of these comprehensive sessions, participants identified and ranked potential failures based on severity, occurrence and detection to calculate risk priority number (RPN) values. RESULTS: A total of 96 failure modes were generated and ranked in a list of the 20 riskiest problems that show no significant discordances by site, although there were differences by profession of the rater, particularly nurses. CONCLUSIONS: Our results illustrate that the PFMEA method applies well to CF NBS and that steps requiring communication and information transfer are perceived to be the highest risks. The number of identified failures makes and their potential impact demonstrate considerable overall risk and a need for ongoing QI. Copyright 2010 Elsevier B.V. All rights reserved.
BACKGROUND: With the rapid implementation of cystic fibrosis (CF) newborn screening (NBS), quality improvement (QI) has become essential to identify and prevent errors. Using Process Failure Modes and Effects Analysis (PFMEA), we adapted this method to determine if it could be applied to discover and rank high priority QI opportunities. METHODS: Site visits to three programmes were conducted, and PFMEA exercises were accomplished in Colorado, Massachusetts and Wisconsin with 23 experienced professionals. During each of these comprehensive sessions, participants identified and ranked potential failures based on severity, occurrence and detection to calculate risk priority number (RPN) values. RESULTS: A total of 96 failure modes were generated and ranked in a list of the 20 riskiest problems that show no significant discordances by site, although there were differences by profession of the rater, particularly nurses. CONCLUSIONS: Our results illustrate that the PFMEA method applies well to CF NBS and that steps requiring communication and information transfer are perceived to be the highest risks. The number of identified failures makes and their potential impact demonstrate considerable overall risk and a need for ongoing QI. Copyright 2010 Elsevier B.V. All rights reserved.
Authors: Anne Marie Comeau; Frank J Accurso; Terry B White; Preston W Campbell; Gary Hoffman; Richard B Parad; Benjamin S Wilfond; Margaret Rosenfeld; Marci K Sontag; John Massie; Philip M Farrell; Brian P O'Sullivan Journal: Pediatrics Date: 2007-02 Impact factor: 7.124
Authors: Michael J Rock; Gary Hoffman; Ronald H Laessig; Greg J Kopish; Thomas J Litsheim; Philip M Farrell Journal: J Pediatr Date: 2005-09 Impact factor: 4.406
Authors: Scott D Grosse; Coleen A Boyle; Jeffrey R Botkin; Anne Marie Comeau; Martin Kharrazi; Margaret Rosenfeld; Benjamin S Wilfond Journal: MMWR Recomm Rep Date: 2004-10-15
Authors: Carlo Castellani; Kevin W Southern; Keith Brownlee; Jeannette Dankert Roelse; Alistair Duff; Michael Farrell; Anil Mehta; Anne Munck; Rodney Pollitt; Isabelle Sermet-Gaudelus; Bridget Wilcken; Manfred Ballmann; Carlo Corbetta; Isabelle de Monestrol; Philip Farrell; Maria Feilcke; Claude Férec; Silvia Gartner; Kevin Gaskin; Jutta Hammermann; Nataliya Kashirskaya; Gerard Loeber; Milan Macek; Gita Mehta; Andreas Reiman; Paolo Rizzotti; Alec Sammon; Dorota Sands; Alan Smyth; Olaf Sommerburg; Toni Torresani; Georges Travert; Annette Vernooij; Stuart Elborn Journal: J Cyst Fibros Date: 2009-02-26 Impact factor: 5.482
Authors: Sarah A Jadin; Grace S Wu; Zhumin Zhang; Suzanne M Shoff; Benjamin M Tippets; Philip M Farrell; Tami Miller; Michael J Rock; Hara Levy; HuiChuan J Lai Journal: Am J Clin Nutr Date: 2011-03-23 Impact factor: 7.045