scholarly journals A qualitative content analysis of retained surgical items: learning from root cause analysis investigations

2020 ◽  
Vol 32 (3) ◽  
pp. 184-189
Author(s):  
Peter D Hibbert ◽  
Matthew J W Thomas ◽  
Anita Deakin ◽  
William B Runciman ◽  
Andrew Carson-Stevens ◽  
...  

Abstract Objective To describe incidents of retained surgical items, including their characteristics and the circumstances in which they occur. Design A qualitative content analysis of root cause analysis investigation reports. Setting Public health services in Victoria, Australia, 2010–2015. Participants Incidents of retained surgical items as described by 31 root cause analysis investigation reports. Main Outcome Measure(s) The type of retained surgical item, the length of time between the item being retained and detected and qualitative descriptors of the contributing factors and the circumstances in which the retained surgical items occurred. Results Surgical packs, drain tubes and vascular devices comprised 68% (21/31) of the retained surgical items. Nearly one-quarter of the retained surgical items were detected either immediately in the post-operative period or on the day of the procedure (7/31). However, about one-sixth (5/31) were only detected after 6 months, with the longest period being 18 months. Contributing factors included complex or multistage surgery; the use of packs not specific to the purpose of the surgery; and design features of the surgical items. Conclusion Retained drains occurred in the post-operative phase where surgical counts are not applicable and clinician situational awareness may not be as great. Root cause analysis investigation reports can be a valuable means of characterizing infrequently occurring adverse events such as retained surgical items. They may detect incidents that are not detected by other data collections and can inform the design enhancements and development of technologies to reduce the impact of retained surgical items.

2019 ◽  
Vol 58 (13) ◽  
pp. 1423-1428 ◽  
Author(s):  
Chris A. Rees ◽  
Lois K. Lee ◽  
Eric W. Fleegler ◽  
Rebekah Mannix

School shootings comprise a small proportion of childhood deaths from firearms; however, these shootings receive a disproportionately large share of media attention. We conducted a root cause analysis of 2 recent school shootings in the United States using lay press reports. We reviewed 1760 and analyzed 282 articles from the 10 most trusted news sources. We identified 356 factors associated with the school shootings. Policy-level factors, including a paucity of adequate legislation controlling firearm purchase and ownership, were the most common contributing factors to school shootings. Mental illness was a commonly cited person-level factor, and access to firearms in the home and availability of large-capacity firearms were commonly cited environmental factors. Novel approaches, including root cause analyses using lay media, can identify factors contributing to mass shootings. The policy, person, and environmental factors associated with these school shootings should be addressed as part of a multipronged effort to prevent future mass shootings.


2022 ◽  
pp. 348-367
Author(s):  
Hamid Bentarzi

This chapter presents how root cause analysis based on fault tree technique can be used to study mal-operation of protective relay in a smart power grid. This approach is used to identify disturbances first and root cause of mal operation of protective relays which may lead to unnecessary tripping and hence to blackout. Once the critical root causes are identified, mitigation measures first such as blocking protection functions and digital filters may be used in view of increasing the reliability of the considered protection system. The proposed approach has many advantages as it allows obtaining an important quantitative figure (security). These permits to strongly strengthen the elements of the protecting system which are most likely appropriate to failure and hence the impact on the overall system's cost is significant. Another main advantage is that it takes into account the reliability of the software part of the system which is considered to have a significant contribution in the overall reliability of the protecting system.


2021 ◽  
Vol 4 (1) ◽  
pp. 27-43
Author(s):  
Ghada Hussain Al Mardawi ◽  
Rajkumar Rajendram ◽  
Souzan Mohammed Alowesie ◽  
Mufareh Alkatheri

ABSTRACT Introduction A full root cause analysis (RCA) such as that required following a sentinel event is time-consuming, labor-intensive, and expensive. This quality improvement project used a similar but abbreviated process (mini-RCA and action; mini-RCA2) in response to medication errors that caused less serious harm. Methods In 2018, all medication errors that caused harm due to system failures but were not sentinel events were investigated by mini-RCA2. The incidence of similar medication errors reported in the year before and in the year after the introduction of mini-RCA2 was compared to determine the impact of this intervention. Similar events were identified by searching the safety reporting system database for reported medication errors by drug name (e.g., Humate® P) and/or event type (e.g., prescribing error—omission of a patient's home medications on admission to hospital). The time and labor costs of this intervention were estimated. Results Seven medication errors were investigated by mini-RCA2. More than 48 members of staff from 11 clinical and nonclinical departments contributed to the identification of 39 system failures and made 42 recommendations, of which 22 (52%) were implemented. This reduced the recurrence of reports of similar events from 35 (0.57%) to 21 (0.36%). Although this 0.21% absolute decrease did not achieve statistical significance, recurrence of similar harm events was reduced from 7 (0.11%) to 0 (p = 0.016). Benefits were greatest when the mini-RCA2 recommendations were fully implemented. This reduced the recurrence of similar events from 9 (0.21%) to 0 (p = 0.007). A total of 251 hours (mean ± SD, 35.9 ± 16.6 hours) were required for this intervention. The associated labor cost was Saudi Arabia Riyal (SAR) 34,181 (US $8256; mean SAR ± SD, 4883 ± 1302 [mean US $ ± SD, $2102 ± $561]). Conclusion The use of mini-RCA2 to review medication errors provided a structured process to manage reported events, monitor the implementation of recommendations, and assess the effectiveness of implemented actions. The use of this rapid process to investigate errors that cause harm but are not sentinel events reduced recurrence of similar medication errors. Although the time and cost required for this intervention is not insignificant, the cumulative benefit to patients, healthcare professionals, and the organization are greater.


2020 ◽  
Author(s):  
Kholoud Houssaini ◽  
Oumayma Lahnaoui ◽  
Amine Souadka ◽  
Mohamed-Anass Majbar ◽  
Abdelilah Ghannam ◽  
...  

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.


2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Kholoud Houssaini ◽  
Oumayma Lahnaoui ◽  
Amine Souadka ◽  
Mohammed Anass Majbar ◽  
Abdelilah Ghannam ◽  
...  

An amendment to this paper has been published and can be accessed via the original article.


2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Kholoud Houssaini ◽  
Oumayma Lahnaoui ◽  
Amine Souadka ◽  
Mohammed Anass Majbar ◽  
Abdelilah Ghannam ◽  
...  

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.


2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Karim Elsayeh ◽  
Alexander Brown ◽  
Srinivas Chintapatla ◽  
Michael Lim

Abstract Introduction Post colonoscopy colorectal cancer (PC-CRC) is an important benchmark of endoscopy performance. Previous publications have reported significant variations between institutions. We chose to perform the root cause analysis (RCA) and the impact of traditional performance indicators on the likelihood of PC-CRC. Methods A retrospective analysis was performed on all PCCRC at York Hospital. Electronic endoscopic records and case-note review was performed to identify appropriate cases. Root cause analysis was performed on all identified cases. Performance data and annual procedural volumes of endoscopist were recorded. Adjusted PC-CRC/5-year period allowed endoscopist to be divided into good (<4 PC-CRC) and poor performers (³4 PC-CRC). Mann Whitney U test used to compare groups. P-value of < 0.05 deemed significant Results 32 (24 male) patients with a PC-CRC were identified . Median age was 72 (IQR 63-79) years. Table provides PCCRC rate for the 5-year period. Root cause analysis identified that most plausible cause was missed lesions despite adequate bowel preparation (76%). The commonest subtype was non interval C (38%). Three out of 18 endoscopist had a higher 5-year adjusted PC-CRC rate and were poor performers. Median withdrawal times, CIR and ADR did not differ between good and poor performers. Conclusion The overall PC-CRC rate at our institution is within an acceptable rate. We have noted significant variation of performance between endoscopist, the exact reasons for this observation require further examination.


Author(s):  
Hamid Bentarzi

This chapter presents how root cause analysis based on fault tree technique can be used to study mal-operation of protective relay in a smart power grid. This approach is used to identify disturbances first and root cause of mal operation of protective relays which may lead to unnecessary tripping and hence to blackout. Once the critical root causes are identified, mitigation measures first such as blocking protection functions and digital filters may be used in view of increasing the reliability of the considered protection system. The proposed approach has many advantages as it allows obtaining an important quantitative figure (security). These permits to strongly strengthen the elements of the protecting system which are most likely appropriate to failure and hence the impact on the overall system's cost is significant. Another main advantage is that it takes into account the reliability of the software part of the system which is considered to have a significant contribution in the overall reliability of the protecting system.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4442-4442
Author(s):  
Victoria van Hamel Parsons ◽  
Lara N Roberts ◽  
Cara Doyle ◽  
Gayle Mulla ◽  
Adam Pennycuick ◽  
...  

Abstract Introduction: The national Venous Thromboembolism (VTE) Prevention Programme in England was launched in 2010 and incorporates standardised guidance on risk assessment (RA) and thromboprophylaxis (TP) with a requirement for root cause analysis of all episodes of hospital associated thrombosis (HAT), defined as any VTE occurring whilst an inpatient or within 90 days of discharge. We previously reported findings of root cause analysis for HAT over 2010 - 2012, demonstrating that achieving a 90% risk assessment rate resulted in a significant reduction in the incidence of HAT. We update our findings on the impact of implementation of the national programme on the incidence of HAT, proportion of potentially preventable HAT episodes, and mortality from hospital-associated pulmonary embolism (PE). As appropriate TP only reduces the risk of VTE by two-thirds, we also looked at risk factors for TP failure. Methods: We examined HAT data collected from the root cause analysis programme at King's College Hospital from April 2011 to March 2015. Further data were gathered through retrospective review of patient notes. VTE risk factors for HAT attributed to TP failure were compared to a "non-HAT" group, (patients who received appropriate TP and did not develop HAT) drawn from VTE prevention audit data from 2013-2014. Episodes of HAT that developed following inadequate prescription or administration of either anticoagulant or mechanical TP were deemed as "potentially preventable" episodes. Results: Across the four-year study period there were 725 episodes of HAT, giving an incidence of 3.28 episodes per 1000 hospital admissions. There was no significant change in incidence from 2011-2015. The median age of the cohort was 64 years (IQR = 27 years). 56.7% (n = 411) of the HAT episodes were deep vein thromboses, of which 54.7% (n = 225) involved the proximal vasculature. PE accounted for 41.7% (n = 302) episodes, of which 10.9% (n = 33) were fatal events. HAT developed following medical, surgical or obstetric admission in 43.3% (n = 314), 54.6% (n = 396) and 2.1% (n = 15) respectively. VTE risk factors were present in 97.9% (n = 710) of patients with HAT with concomitant bleeding risk factors in 37.1% (n = 269). Consistently, the most common outcome of root cause analysis was TP failure (47.6% overall, n = 345) with no significant trend across the study period; 19.7% (n = 143) of episodes were attributed to inadequate anticoagulant TP, 26.1% (n = 189) to contraindication to anticoagulant TP, 4.4% (n = 32) to contraindication to all forms of TP, and 2.2% (n = 16) episodes were unexpected (HAT occurring in a patient without identifiable VTE risk factors). There has been a significant reduction in the proportion of potentially preventable HAT episodes from 38.2% (n = 66) in 2011-2012 to 20.3% (n = 39) in 2014-2015 (p < 0.001). Furthermore, the proportion of fatal PE reduced over the study period from 16.0% (n = 12) of HAT in 2011-2012 to 6.3% (n = 5) of HAT in 2014-2015 (p = 0.049). The audit of VTE prevention practice over 2013/14 included 515 patients, of which 423 (82.1%) received appropriate TP and did not develop HAT. Compared to this group, patients with HAT attributed to TP failure had more risk factors (3.1 vs. 2.7, p < 0.002), were more likely to be over 60 years of age (59.4% vs. 42.3%, p = 0.01), or to have had orthopaedic surgery(6.7% vs. 1.8%, p = 0.001). Discussion: Implementation of a comprehensive VTE prevention programme incorporating root cause analysis of HAT has led to a significant fall in the proportion of HAT that were potentially preventable with a corresponding reduction in mortality attributed to PE. However, there has been no change in the overall incidence of HAT with a rise in cases associated with TP failure. Further research is required to optimise TP in high VTE risk groups. Disclosures Arya: Bayer plc: Research Funding.


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