Rethinking preparedness planning in disaster emergency care: lessons from a beyond-surge-capacity event.

BACKGROUND: Large-scale burn disasters can produce casualties that threaten medical care systems. This study proposes a new approach for developing hospital readiness and preparedness plan for these challenging beyond-surge-capacity events. METHODS: The Formosa Fun Coast Dust Explosion (FFCDE) was studied. Data collection consisted of in-depth interviews with clinicians from four initial receiving hospitals and their relevant hospital records. A detailed timeline of patient flow and emergency department (ED) workload changes of individual hospitals were examined to build the EDs' overload patterns. Data analysis of the multiple hospitals' responses involved chronological process-tracing analysis, synthesis, and comparison analysis in developing an integrated adaptations framework. RESULTS: A four-level ED overload pattern was constructed. It provided a synthesis of specifics on patient load changes and the process by which hospitals' surge capacity was overwhelmed over time. Correspondingly, an integrated 19 adaptations framework presenting holistic interrelations between adaptations was developed. Hospitals can utilize the overload patterns and overload metrics to design new scenarios with diverse demands for surge capacity. The framework can serve as an auxiliary tool for directive planning and cross-check to address the insufficiencies of preparedness plans. CONCLUSIONS: The study examined a wide-range spectrum of emergency care responses to the FFCDE. It indicated that solely depending on policies or guidelines for preparedness plans did not contribute real readiness to MCIs. Hospitals can use the study's findings and proposal to rethink preparedness planning for the future beyond surge capacity events.

Ranking hospitals' burn care capacity using cluster analysis on open government data.

BACKGROUND AND OBJECTIVE: To deal with burn mass casualty incidents (BMCIs), various countries have established national or regional BMCI emergency response plans (ERPs). A burn care capacity ranking model for hospitals can play an integral role in ERPs by providing essential information to emergency medical services for distributing and handling mass burn patients. Ranking models vary across countries and contexts. However, Taiwan has had no such model. The study aims to develop a ranking model for classifying hospitals' burn care capacity in preparation for the development of a national BMCI ERP. METHODS: Multiple methods were adopted. An expert panel provided consultations on data selection and clustering validation. Data on 116 variables from 535 hospitals were collected via open data platforms under the Ministry of Health and Welfare. Data selection and streamlining was conducted to determine 42 variables for cluster analysis. SAS 9.4 was used to analyze the data set -via a hierarchical cluster analysis using Ward's method, followed by a tree-based model analysis to identify the criteria for each cluster. Both internal and external cluster validation were performed. RESULTS: Four clusters of burn care capacity were determined to be a suitable number of clusters. All hospitals were arranged into capacity levels accordingly. Results of the Kruskal-Wallis test showed that the difference between clusters were significant. Tree-based model analysis revealed four determining variables, among which the refined level of emergency care responsibility hospital was found to be most influential on the clustering process. Responses from the questionnaire were used as an external validation tool to corroborate with the cluster analysis results. CONCLUSION: The use of open government data and cluster analysis was suitable for developing a ranking model to determine hospitals' burn care capacity levels in Taiwan. The proposed ranking model can be used to develop a BMCI emergency response plan and can also serve as a reference for using cluster analysis with open government data to rank care capacity or quality in other domains.

Measurement of resilience potential - development of a resilience assessment grid for emergency departments.

BACKGROUND: Resilience engineering has been advocated as an alternative to the management of safety over the last decade in many domains. However, to facilitate metrics for measuring and helping analyze the resilience potential for emergency departments (EDs) remains a significant challenge. The study aims to redesign the Hollnagel's resilience assessment grid (RAG) into a custom-made RAG (ED-RAG) to support resilience management in EDs. METHODS: The study approach had three parts: 1) translation of Hollnagel's RAG into Chinese version, followed by generation of a tailored set of ED-RAG questions adapted to EDs; 2) testing and revising the tailored sets until to achieve satisfactory validity for application; 3) design of a new rating scale and scoring method. The test criteria of the ED-RAG questionnaire adopted the modified three-level scoring criteria proposed by Bloom and Fischer. The study setting of the field test is a private regional hospital. RESULTS: The fifth version of ED-RAG was acceptable after a field test. It has three sets of open structured questions for the potentials to respond, monitor, and anticipate, and a set of structured questions for the potential to learn. It contained 38 questions corresponding to 32 foci. A new 4-level rating scale along with a novel scaling method can improve the scores conversion validity and communication between team members and across investigations. This final version is set to complete an interview for around 2 hours. CONCLUSIONS: The ED-RAG represents a snapshot of EDs'resilience under specific conditions. It might be performed multiple times by a single hospital to monitor the directions and contents of improvement that can supplement conventional safety management toward resilience. Some considerations are required to be successful when hospitals use it. Future studies to overcome the potential methodological weaknesses of the ED-RAG are needed.

Coping With a Mass Casualty: Insights into a Hospital's Emergency Response and Adaptations After the Formosa Fun Coast Dust Explosion.

OBJECTIVE: The study provides a comprehensive insight into how an initial receiving hospital without adequate capacity adapted to coping with a mass casualty incident after the Formosa Fun Coast Dust Explosion (FFCDE). METHODS: Data collection was via in-depth interviews with 11 key participants. This was combined with information from medical records of FFCDE patients and admission logs from the emergency department (ED) to build a detailed timeline of patients flow and ED workload changes. Process tracing analysis focused on how the ED and other units adapted to coping with the difficulties created by the patient surge. RESULTS: The hospital treated 30 victims with 36.3% average total body surface area burn for over 5 hours alongside 35 non-FFCDE patients. Overwhelming demand resulted in the saturation of ED space and intensive care unit beds, exhaustion of critical materials, and near-saturation of clinicians. The hospital reconfigured human and physical resources differently from conventional drills. Graphical timelines illustrate anticipatory or reactive adaptations. The hospital's ability to adapt was based on anticipation during uncertainty and coordination across roles and units to keep pace with varying demands. CONCLUSION: Adapting to beyond-surge capacity incident is essential to effective disaster response. Building organizational support for effective adaptation is critical for disaster planning.

Beyond surge: Coping with mass burn casualty in the closest hospital to the Formosa Fun Coast Dust Explosion.

PURPOSE: To provide an insight into the challenges faced by the closest hospital to the Formosa Fun Coast Dust Explosion (FFCDE) disaster scene, and to examine how the hospital staff adapted to cope with the mass burn casualty (MBC) in their overcrowded emergency department (ED) after the disaster. MATERIAL AND METHODS: The critical incident technique was used for the investigation. Data was gathered through in-depth individual interviews with 15 key participants in this event. The interview data was combined with the medical records of the FFCDE patients and admission logs to build a detailed timeline of ED workload. Process tracing analysis was used to evaluate how the ED and other units adapted to deal with actual and potential bottlenecks created by the patient surge. RESULTS: Fifty-eight burn patients were treated and registered in approximately six hours while the ED managed 43 non-FFCDE patients. Forty-four patients with average total body surface area burn 51.3% were admitted. Twenty burn patients were intubated. The overwhelming demand created shortages primarily of clinicians, ED space, stretchers, ICU beds, and critical medical materials for burn care. Adaptive activities for the initial resuscitation are identified and synthesized into three typical adaptation patterns. These adaptations were never previously adopted in ED normal practices for daily surge nor in periodical exercises. The analysis revealed adaptation stemmed from the dynamic re-planning and coordination across roles and units and the anticipation of bottlenecks ahead. CONCLUSION: In the hospital closest to the FFCDE disaster scene, it caused an overwhelming demand in an already crowded, beyond-nominal-capacity ED. This study describes how the hospital mobilized and reconfigured response capacity to cope with overload, uncertainty, and time pressure. These findings support improving disaster planning and preparedness for all healthcare entities through organizational support for adaptation and routine practice coping with unexpected scenarios.

An international systems-theoretic comparison of hospital accreditation: developing an implementation typology.

OBJECTIVE: The integration of quality indicators into the accreditation process has been recognized as a promising strategy worldwide. This study was to explore the implementation patterns of hospital accreditation through the lens of a systems-theory based model, and determine an international accreditation implementation typology. DESIGN: A qualitative comparative study of five established international hospital accreditation systems was undertaken based on a systems-theoretic holistic healthcare systems relationship model. A set of key attributes relevant to three systems-theoretic model relationships guided data collection, comparison and synthesis. SETTING: Hospital accreditation systems in five countries: America, Canada, Australia, Taiwan and France. RESULTS: An accreditation implementation typology was developed based on the data synthesis of the similarities and differences among the relationships. A typology including five implementation types of hospital accreditation systems (TYPE I-V) was induced. TYPE I is a basic stand-alone accreditation system. The higher types represent stronger relationships among accreditation system, healthcare organizations and quality measurement systems. The five settings have shifted their accreditation approaches from the basic type (TYPE I). CONCLUSIONS: The implementation typology of hospital accreditation could serve as a roadmap for refining hospital accreditation systems toward an integrative approach for continuous quality improvement.

Bayesian methods in reporting and managing Australian clinical indicators.

Sustained clinical improvement is unlikely without appropriate measuring and reporting techniques. Clinical indicators are tools to help assess whether a standard of care is being met. They are used to evaluate the potential to improve the care provided by healthcare organisations (HCOs). The analysis and reporting of these indicators for the Australian Council on Healthcare Standards have used a methodology which estimates, for each of the 338 clinical indicators, the gains in the system that would result from shifting the mean proportion to the 20(th) centile. The results are used to provide a relative measure to help prioritise quality improvement activity within clinical areas, rather than simply focus on "poorer performing" HCOs. The method draws attention to clinical areas exhibiting larger between-HCO variation and affecting larger numbers of patients. HCOs report data in six-month periods, resulting in estimated clinical indicator proportions which may be affected by small samples and sampling variation. Failing to address such issues would result in HCOs exhibiting extremely small and large estimated proportions and inflated estimates of the potential gains in the system. This paper describes the 20(th) centile method of calculating potential gains for the healthcare system by using Bayesian hierarchical models and shrinkage estimators to correct for the effects of sampling variation, and provides an example case in Emergency Medicine as well as example expert commentary from colleges based upon the reports. The application of these Bayesian methods enables all collated data to be used, irrespective of an HCO's size, and facilitates more realistic estimates of potential system gains.

Implementing systems thinking for infection prevention: The cessation of repeated scabies outbreaks in a respiratory care ward.

BACKGROUND: Root cause analysis (RCA) is often adopted to complement epidemiologic investigation for outbreaks and infection-related adverse events in hospitals; however, RCA has been argued to have limited effectiveness in preventing such events. We describe how an innovative systems analysis approach halted repeated scabies outbreaks, and highlight the importance of systems thinking for outbreaks analysis and sustaining effective infection prevention and control. METHODS: Following RCA for a third successive outbreak of scabies over a 17-month period in a 60-bed respiratory care ward of a Taiwan hospital, a systems-oriented event analysis (SOEA) model was used to reanalyze the outbreak. Both approaches and the recommendations were compared. RESULTS: No nosocomial scabies have been reported for more than 1975 days since implementation of the SOEA. Previous intervals between seeming eradication and repeat outbreaks following RCA were 270 days and 180 days. Achieving a sustainable positive resolution relied on applying systems thinking and the holistic analysis of the system, not merely looking for root causes of events. CONCLUSION: To improve the effectiveness of outbreaks analysis and infection control, an emphasis on systems thinking is critical, along with a practical approach to ensure its effective implementation. The SOEA model provides the necessary framework and is a viable complementary approach, or alternative, to RCA.

Using clinical indicators to facilitate quality improvement via the accreditation process: an adaptive study into the control relationship.

OBJECTIVE: The aim of the study was to determine accreditation surveyors' and hospitals' use and perceived usefulness of clinical indicator reports and the potential to establish the control relationship between the accreditation and reporting systems. The control relationship refers to instructional directives, arising from appropriately designed methods and efforts towards using clinical indicators, which provide a directed moderating, balancing and best outcome for the connected systems. DESIGN: Web-based questionnaire survey. SETTING: Australian Council on Healthcare Standards' (ACHS) accreditation and clinical indicator programmes. RESULTS: Seventy-three of 306 surveyors responded. Half used the reports always/most of the time. Five key messages were revealed: (i) report use was related to availability before on-site investigation; (ii) report use was associated with the use of non-ACHS reports; (iii) a clinical indicator set's perceived usefulness was associated with its reporting volume across hospitals; (iv) simpler measures and visual summaries in reports were rated the most useful; (v) reports were deemed to be suitable for the quality and safety objectives of the key groups of interested parties (hospitals' senior executive and management officers, clinicians, quality managers and surveyors). CONCLUSIONS: Implementing the control relationship between the reporting and accreditation systems is a promising expectation. Redesigning processes to ensure reports are available in pre-survey packages and refined education of surveyors and hospitals on how to better utilize the reports will support the relationship. Additional studies on the systems' theory-based model of the accreditation and reporting system are warranted to establish the control relationship, building integrated system-wide relationships with sustainable and improved outcomes.

An effectiveness analysis of healthcare systems using a systems theoretic approach.

BACKGROUND: The use of accreditation and quality measurement and reporting to improve healthcare quality and patient safety has been widespread across many countries. A review of the literature reveals no association between the accreditation system and the quality measurement and reporting systems, even when hospital compliance with these systems is satisfactory. Improvement of health care outcomes needs to be based on an appreciation of the whole system that contributes to those outcomes. The research literature currently lacks an appropriate analysis and is fragmented among activities. This paper aims to propose an integrated research model of these two systems and to demonstrate the usefulness of the resulting model for strategic research planning. METHODS/DESIGN: To achieve these aims, a systematic integration of the healthcare accreditation and quality measurement/reporting systems is structured hierarchically. A holistic systems relationship model of the administration segment is developed to act as an investigation framework. A literature-based empirical study is used to validate the proposed relationships derived from the model. Australian experiences are used as evidence for the system effectiveness analysis and design base for an adaptive-control study proposal to show the usefulness of the system model for guiding strategic research. RESULTS: Three basic relationships were revealed and validated from the research literature. The systemic weaknesses of the accreditation system and quality measurement/reporting system from a system flow perspective were examined. The approach provides a system thinking structure to assist the design of quality improvement strategies. The proposed model discovers a fourth implicit relationship, a feedback between quality performance reporting components and choice of accreditation components that is likely to play an important role in health care outcomes. An example involving accreditation surveyors is developed that provides a systematic search for improving the impact of accreditation on quality of care and hence on the accreditation/performance correlation. CONCLUSION: There is clear value in developing a theoretical systems approach to achieving quality in health care. The introduction of the systematic surveyor-based search for improvements creates an adaptive-control system to optimize health care quality. It is hoped that these outcomes will stimulate further research in the development of strategic planning using systems theoretic approach for the improvement of quality in health care.

[Failure mode and effect analysis: application in chemotherapy].

Medical institutions are increasingly concerned about ensuring the safety of patients under their care. Failure mode and effect analysis (FMEA) is a qualitative approach based on a proactive process. Strongly promoted by the Joint Commission Accredited of Health Organization (JCAHO) since 2002, FMEA has since been adopted and widely practiced in healthcare organizations to assess and analyze clinical error events. FMEA has proven to be an effective method of minimizing errors in both manufacturing and healthcare industries. It predicts failure points in systems and allows an organization to address proactively the causes of problems and prioritize improvement strategies. The application of FMEA in chemotherapy at our department identified three main failure points: (1) inappropriate chemotherapy standard operating procedures (SOPs), (2) communication barriers, and (3) insufficient training of nurses. The application of FMEA in chemotherapy is expected to enhance the sensitivity and proactive abilities of healthcare practitioners during potentially risky situations as well as to improve levels of patient care safety.