UNLABELLED: The objectives of this study were to identify causal and contributing factors of serious patient safety incidents in a paediatric university hospital, to report on ensuing recommendations and to assess the extent of implementation of the recommendations. The possible causal and contributing factors identified in 17 incidents were classified by a system devised by Vincent et al. Proposed recommendations were classified by the same system, and degrees of implementation were established. A median of 5 causal and contributing factors per incident were identified. Twenty-two percent of all factors were related to teamwork and 22 % to task factors. A median of 5 recommendations per analysis were formulated. Most recommendations were related to task factors (36 %). The time load of each analysis was a mean of 27 h. One third of the recommendations have been acted upon, mostly those related to task and team factors. CONCLUSION: Incident analysis is time-consuming but yields indispensable information on causal and contributing factors, presenting numerous opportunities for quality improvement. The value of these analyses could be improved by appointing responsibilities and setting up time frames for implementation. A bottom-up approach with managerial support appears to be a key to turning incident analysis and quality improvement into an ongoing process.
UNLABELLED: The objectives of this study were to identify causal and contributing factors of serious patient safety incidents in a paediatric university hospital, to report on ensuing recommendations and to assess the extent of implementation of the recommendations. The possible causal and contributing factors identified in 17 incidents were classified by a system devised by Vincent et al. Proposed recommendations were classified by the same system, and degrees of implementation were established. A median of 5 causal and contributing factors per incident were identified. Twenty-two percent of all factors were related to teamwork and 22 % to task factors. A median of 5 recommendations per analysis were formulated. Most recommendations were related to task factors (36 %). The time load of each analysis was a mean of 27 h. One third of the recommendations have been acted upon, mostly those related to task and team factors. CONCLUSION: Incident analysis is time-consuming but yields indispensable information on causal and contributing factors, presenting numerous opportunities for quality improvement. The value of these analyses could be improved by appointing responsibilities and setting up time frames for implementation. A bottom-up approach with managerial support appears to be a key to turning incident analysis and quality improvement into an ongoing process.
Authors: Jonny Taitz; Kelvin Genn; Vanessa Brooks; Deborah Ross; Kathleen Ryan; Bronwyn Shumack; Tony Burrell; Peter Kennedy Journal: Qual Saf Health Care Date: 2010-07-29
Authors: C Snijders; T W van der Schaaf; H Klip; R A van Lingen; W P F Fetter; R A van Lingen W P F Fetter; A Molendijk Journal: Qual Saf Health Care Date: 2009-12
Authors: Annemarie Plaisier; Marlou M A Raets; Cynthia van der Starre; Monique Feijen-Roon; Paul Govaert; Maarten H Lequin; Anneriet M Heemskerk; Jeroen Dudink Journal: Pediatr Radiol Date: 2012-08-09
Authors: Luise Brado; Susanne Tippmann; Daniel Schreiner; Jonas Scherer; Dorothea Plaschka; Eva Mildenberger; André Kidszun Journal: Front Pediatr Date: 2021-06-10 Impact factor: 3.418