Contributing factors to severe complications after liver resection: an aggregate root cause analysis in 105 consecutive patients

Abstract Background The aggregate root cause analysis (AggRCA) was designed to improve the understanding of system vulnerabilities contributing to patient harm, including surgical complications. It remains poorly used due to methodological complexity and resource limitations. This study aimed to identify the main patterns contributing to severe complications after liver resection using an AggRCA. Methods This was a retrospective qualitative study aimed to identify the main patterns contributing to severe complications, defined as strictly higher than grade IIIa according to the Clavien-Dindo classification within the first 90 days after liver resection. All consecutive severe complications that occurred between January 1st, 2018 and December 31st, 2019 were identified from an electronic database and included in an AggRCA. This included a structured morbidity and mortality review (MMR) reporting tool based on 50 contributory factors adapted from 6 ALARM categories: “Patient”, “Tasks”, “Individual staff”, “Team”, “Work environment”, and “Management and Institutional context”. Data resulting from individual-participant root cause analysis (RCA) of single-cases were validated collectively then aggregated. The main patterns were suggested from the contributory factors reported in more than half of the cases. Results In 105 consecutive liver resection cases, 15 patients (14.3%) developed severe postoperative complications, including 5 (4.8%) who died. AggRCA resulted in the identification of 36 contributory factors. Eight contributory factors were reported in more than half of the cases and were compiled in three entangled patterns: (1) Disrupted perioperative process, (2) Unplanned intraoperative change, (3) Ineffective communication. Conclusion A pragmatic aggregated RCA process improved our understanding of system vulnerabilities based on the analysis of a limited number of events and a reasonable resource intensity. The identification of patterns contributing to severe complications lay the rationale of future contextualized safety interventions beyond the scope of liver resections.

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PID https://www.doi.org/10.6084/m9.figshare.c.5137419
URL http://dx.doi.org/10.6084/m9.figshare.c.5137419
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Author Houssaini, Kholoud, 0000-0002-3454-1281
Author Oumayma Lahnaoui
Author Souadka, Amine
Author Mohamed-Anass Majbar
Author Ghanam, Abdelilah
Author Ahmadi, Brahim El
Author Belkhadir, Zakaria
Author Amrani, Leila
Author Mohsine, Raouf
Author Benkabbou, Amine
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Collected From Datacite
Hosted By figshare
Publication Date 2020-01-01
Publisher figshare
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Language UNKNOWN
Resource Type Collection
keyword FOS: Chemical sciences
keyword FOS: Biological sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=datacite____::30036e18f3ce1f68e0cb65b86c863e59
Author jsonws_user
Last Updated 20 December 2020, 02:58 (CET)
Created 20 December 2020, 02:58 (CET)