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      Improving the non-structural preparedness of the selected hospital based on the FOCUS-PDCA 1 model: action research

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          Abstract

          Introduction

          With the intensification of the country’s development process, the expansion of cities and population, and the inclusion of Iran in the accident-prone category, reducing the vulnerability of non-structures has received more attention from the organizations involved. In addition to damage to communities and infrastructure, accidents can affect hospitals and their non-organizational components. Hospitals, as the front line of providing medical services after accidents, must maintain their stability, ensure the safety of their patients and employees, and continue to operate without interruption as in normal conditions. Therefore, it is necessary to evaluate the non-structural safety and their preparedness to ensure they can perform acceptable in critical conditions.

          Methods

          This applied research was conducted in 2023 (September to December) using the participatory action research method in all selected hospital departments. The level of non-structural preparedness of the hospital was checked using the valid “Hospital Safety Index” questionnaire and the non-structural weaknesses of the hospital were identified. Then, in action research using the FOCUS-PDCA model, a program was implemented to improve the non-structural preparedness of different departments of hospitals in the face of accidents and disasters. The non-structural readiness level of the hospital was compared before and after the implementation of the change.

          Results

          Based on the evaluation conducted in the present study, the lowest level of safety was observed in the water supply system, office furniture and appliances, and fuel storage. The waste management systems, the fire protection system, and the long-distance communication systems were at a desirable performance level. Although in the evaluation before the change, the overall score of the hospital was 71.01%, and it had a desirable performance level in non-structural factors, in all the involved parts of the hospital, the sensitive, critical, and practical parts in the operation of the hospital had an average and sometimes low safety level. According to the obtained safety score, the safety level of the selected hospital before the change was 7 out of 10 (level seven of safety evaluation = medium). After the change and corrective measures, the non-structural safety assessment score was 76.93, and the hospital’s safety level was raised by one step to 8 out of 10 (8th level of safety assessment = relatively favorable).

          Conclusion

          The present study showed that the application of Total Quality Management (TQM), primarily its application tool FOCUS-PDCA, is efficient and helpful in improving the non-structural preparedness of hospitals. Using action research in the health field in accidents and disasters can open blind knots in different dimensions of preparedness (structural, non-structural, and functional).

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          Most cited references52

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          Jordanian nurses' perceptions of their preparedness for disaster management.

          To assess Jordanian RNs' perceptions regarding their knowledge, skills, and preparedness for disaster management.
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            Validation of a Framework for Measuring Hospital Disaster Resilience Using Factor Analysis

            Hospital disaster resilience can be defined as “the ability of hospitals to resist, absorb, and respond to the shock of disasters while maintaining and surging essential health services, and then to recover to its original state or adapt to a new one.” This article aims to provide a framework which can be used to comprehensively measure hospital disaster resilience. An evaluation framework for assessing hospital resilience was initially proposed through a systematic literature review and Modified-Delphi consultation. Eight key domains were identified: hospital safety, command, communication and cooperation system, disaster plan, resource stockpile, staff capability, disaster training and drills, emergency services and surge capability, and recovery and adaptation. The data for this study were collected from 41 tertiary hospitals in Shandong Province in China, using a specially designed questionnaire. Factor analysis was conducted to determine the underpinning structure of the framework. It identified a four-factor structure of hospital resilience, namely, emergency medical response capability (F1), disaster management mechanisms (F2), hospital infrastructural safety (F3), and disaster resources (F4). These factors displayed good internal consistency. The overall level of hospital disaster resilience (F) was calculated using the scoring model: F = 0.615F1 + 0.202F2 + 0.103F3 + 0.080F4. This validated framework provides a new way to operationalise the concept of hospital resilience, and it is also a foundation for the further development of the measurement instrument in future studies.
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              Providing telenursing care for victims: a simulated study for introducing of possibility nursing interventions in disasters

              Introduction Uncertainty occurrence of disasters requires special attention and a shortage of health care specialists is a challenge for health care systems; therefore, the use of telenursing care during a disaster is an appropriate way to provide care. This study aimed to investigate telenursing operational possibilities in disasters. Methods A cross-sectional study was performed by implementing a functional exercise (Drill) for the possibility of nursing interventions in the response phase to disasters at Kerman University of Medical Sciences in 2021. Two evaluators examined and scored the possibility of providing telenursing care using a researcher-made checklist and we surveyed Inter-rater agreement between two evaluators by Cohen's kappa coefficient. Data were analyzed using descriptive tests and SPSS 20 software. Results Findings showed that implementation of telenursing care would be helpful in future disasters. The scores received from assessment of the evaluation checklist for this simulated exercise program by the first evaluator was 83.25 and for the second evaluator was 72.00. The results of the study showed that the mean score of the possibility of telenursing in disasters was at a high level 77.50. Thus, the quality of the telenursing care in simulated conditions was satisfactory. Conclusion Today, disaster management is almost impossible without using new technologies. This study found that due to the lack of specialized nursing staff in the deprived areas affected by disasters, the most important way to provide health care for a large group of the population is to develop effective health services so that everyone can use these services equally and fairly.
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                Author and article information

                Contributors
                eheidaranlu@gmail.com
                Journal
                BMC Emerg Med
                BMC Emerg Med
                BMC Emergency Medicine
                BioMed Central (London )
                1471-227X
                9 July 2024
                9 July 2024
                2024
                : 24
                : 109
                Affiliations
                [1 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, Health Research Center, , Baqiyatullah University of Medical Sciences, ; Tehran, Iran
                [2 ]Student Research Committee, Baqiyatallah University of Medical Sciences, ( https://ror.org/01ysgtb61) Tehran, Iran
                [3 ]Nursing Care Research Center, Clinical Science Institute and Nursing Faculty of Baqiyatallah University of Medical Sciences, Tehran, Iran, Baqiyatallah University of Medical Sciences, ( https://ror.org/01ysgtb61) Tehran, Iran
                Article
                1006
                10.1186/s12873-024-01006-w
                11234782
                38982368
                88c4208b-a363-47dc-8164-3ce766981334
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 28 January 2024
                : 13 May 2024
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Emergency medicine & Trauma
                non-structural vulnerability,safety level assessment,disasters and emergencies

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