To Computerised Provider Order Entry system: A comparison of ECF, HFACS, STAMP and AcciMap approaches

The hybrid systems method integrating STAMP and HFACS for the causal analysis of the road traffic accident

The role of traditional analysis methods in improving complex socio-technical system safety has reached a ceiling, and thus systems theory has been utilised to support the investigations and countermeasures for road traffic accidents. As two widely applied systems accident analysis models, STAMP (systems theoretic accident model and process) and HFACS (human factors analysis and classification system) have their own advantages in accident analysis and safety improvement. Therefore, this study develops a new hybrid systems method integrating STAMP and HFACS for road traffic accident (SH-RTA), which can adopt HFACS to enhance the identification and analysis ability of STAMP for human factors and employ control concepts and elements of STAMP to cement the characteristic of HFACS. To illustrate the applicability of the hybrid method, a case study of '9·22' major road traffic accident in China is thoroughly analysed. Finally, preventive countermeasures and suggestions are presented.Practitioner Summary: This paper proposes a new hybrid systems method integrating STAMP and HFACS for road traffic accident. The new method reveals dysfunctional interactions within the parallel level and across levels, and identifies additional human and organisational factors. The recommendations for preventing road traffic accident are provided from higher levels of system.

Adopting systems models for multiple incident analysis: utility and usability

BACKGROUND

This study aims to present two system models widely used in Human Factors and Ergonomics (HF/E) and evaluate whether the models are adoptable to England's national patient safety team in improving the exploration and understanding of multiple incident reports of an active patient safety issue and the development of the remedial actions for a potential National Patient Safety Alert. The existing process of examining multiple incidents is based on inductive thematic analysis and forming the remedial actions is based on barrier analysis of intelligence on potential solutions. However, no formal systems models evaluated in this study have been used.

METHODS

AcciMap and Systems Engineering Initiative for Patient Safety (SEIPS) were selected, applied and evaluated to the analysis of two different sets of patient safety incidents: (i) incidents concerning ingestion of superabsorbent polymer granules and (ii) incidents concerning the interruption in use of High Nasal Flow Oxygen. The first set was analysed by the first author and the utility and usability were reflected. The second set was analysed collectively by a purposeful sample of patient safety team members, who create the National Patient Safety Alerts from incident-level data and information. All of them attended a 30-min video-based training and a 1.5 h case-based online workshop. Post-workshop individual interviews were conducted to evaluate their perceived utility and usability of each model.

RESULTS

The patient safety team showed overwhelming support for the utility of the system models as a 'framework' that provides a systematic, structured way of looking at an issue and examining the causes, whilst also sharing concerns regarding their usability. AcciMap was viewed useful particularly in providing a visual comprehensive overview of the issue but considered chaotic by some participants due to many arrows between factors. SEIPS was perceived easier to understand due to the familiarity of the structure (Donbedian's model), but the non-hierarchical format of SEIPS was considered less useful.

CONCLUSIONS

The participants of the study agreed with the high level of utility of both models for their unique strengths, but shared some concern for the usability of them in terms of complexity and further training/coaching time would be required to adopt these models in their daily practices. It is recommended that the gap between HF/E practitioners and patient safety practitioners can be narrowed by strengthening education, and coaching and mentoring relationships between the two groups, led by the increasing number of healthcare practitioners who embrace their membership to HF/E practice.

State of science: evolving perspectives on 'human error'

This paper reviews the key perspectives on human error and analyses the core theories and methods developed and applied over the last 60 years. These theories and methods have sought to improve our understanding of what human error is, and how and why it occurs, to facilitate the prediction of errors and use these insights to support safer work and societal systems. Yet, while this area of Ergonomics and Human Factors (EHF) has been influential and long-standing, the benefits of the 'human error approach' to understanding accidents and optimising system performance have been questioned. This state of science review analyses the construct of human error within EHF. It then discusses the key conceptual difficulties the construct faces in an era of systems EHF. Finally, a way forward is proposed to prompt further discussion within the EHF community. Practitioner statement This state-of-science review discusses the evolution of perspectives on human error as well as trends in the theories and methods applied to understand, prevent and mitigate error. It concludes that, although a useful contribution has been made, we must move beyond a focus on an individual error to systems failure to understand and optimise whole systems.

A systematic approach to public health - Novel application of the human factors analysis and classification system to public health and COVID-19

In this article, we argue for a novel adaptation of the Human Factors Analysis and Classification System (HFACS) to proactive incidence prevention in the public health and in particular, during and in response to COVID-19. HFACS is a framework of causal categories of human errors typically applied for systematic retrospective incident analysis in high-risk domains. By leveraging this approach proactively, appropriate, and targeted measures can be quickly identified and established to mitigate potential errors at different levels within the public health system (from tertiary and secondary healthcare workers to primary public health officials, regulators, and policymakers).

An Investigation of Human Errors in Medication Adverse Event Improvement Priority Using a Hybrid Approach

The aim of this study was to analyze and provide an in-depth improvement priority for medication adverse events. Thus, the Human Factor Analysis and Classification System with subfactors was used in this study to analyze the adverse events. Subsequently, the improvement priority for the subfactors was determined using the hybrid approach in terms of the Analytical Hierarchy Process and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution. In Of the 157 medical adverse events selected from the Taiwan Patient-safety Reporting system, 25 cases were identified as medication adverse events. The Human Factor Analysis and Classification System and root cause analysis were used to analyze the error factors and subfactors that existed in the medication adverse events. Following the analysis, the Analytical Hierarchy Process and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution were used to determine the improvement priority for subfactors. The results showed that the decision errors, crew resource management, inadequate supervision, and organizational climate contained more types of subfactors than other error factors in each category. In the current study, 16 improvement priorities were identified. According to the results, the improvement priorities can assist medical staff, researchers, and decisionmakers in improving medication process deficiencies efficiently.

Work systems analysis of sterile processing: decontamination

BACKGROUND

Few studies have explored the work of sterile processing departments (SPD) from a systems perspective. Effective decontamination is critical for removing organic matter and reducing microbial levels from used surgical instruments prior to disinfection or sterilisation and is delivered through a combination of human work and supporting technologies and processes.

OBJECTIVE

In this paper we report the results of a work systems analysis that sought to identify the complex multilevel interdependencies that create performance variation in decontamination and identify potential improvement interventions.

METHODS

The research was conducted at a 700-bed academic hospital with two reprocessing facilities decontaminating approximately 23 000 units each month. Mixed methods, including 56 hours of observations of work as done, formal and informal interviews with relevant stakeholders and analysis of data collected about the system, were used to iteratively develop a process map, task analysis, abstraction hierarchy and a variance matrix.

RESULTS

We identified 21 different performance shaping factors, 30 potential failures, 16 types of process variance, and 10 outcome variances in decontamination. Approximately 2% of trays were returned to decontamination from assembly, while decontamination problems were found in about 1% of surgical cases. Staff knowledge, production pressures, instrument design, tray composition and workstation design contributed to outcomes such as reduced throughput, tray defects, staff injuries, increased inventory and equipment costs, and patient injuries.

CONCLUSIONS

Ensuring patients and technicians' safety and efficient SPD operation requires improved design of instruments and the decontamination area, skilled staff, proper equipment maintenance and effective coordination of reprocessing tasks.