BACKGROUND: In France, the COVID-19 vaccination campaign started in January 2021. This study reports the one-year experience of a multidisciplinary team from university hospital in operating a vaccination center created in a metropolitan sports arena.
METHODS: Some of the data derive from an online appointment scheduling software. Daily traceability sheets were utilized as a formalized method to gather data on non-conformities, adverse events, and to estimate the duration of the vaccination pathway. The professional satisfaction assessment was carried out via an anonymous online questionnaire. The collected data were examined with descriptive statistics.
RESULTS: We propose strengths of our organization to obtain efficient and safe vaccination pathway. In one year, 572,491 immunization shots were administered. The operational team size increased from 31 (500 vaccinations per day) to 71 (3000 vaccinations per day). In March 2021, the average duration to vaccination (excluding post-vaccination monitoring) was 12 [5-37] minutes for patients without medical consultation vs 16 [5-45] minutes for patients with medical consultation. 0.11 % non-conformities on vaccines got notified not allowing them to be used for vaccination. One error regarding the volume administered got reported. Among the professionals working in the vaccination center, 97 % were satisfied with the organization and 88 % with the quality of the information received from team leader or team project. Main difficulties encountered were managing the leftover doses at night and communicating with patients.
CONCLUSIONS: Overall, the ability to vaccinate a population efficiently and safely on a large scale during a pandemic is based on the engagement of skilled multidisciplinary teams and securing the vaccination pathway.

The rapid developments in the field of zeolitic imidazolate frameworks (ZIFs) in recent years have created unparalleled opportunities for the development of unique bioactive ZIFs for a range of biosensor applications. Integrating bioactive molecules such as DNA, aptamers, and antibodies into ZIFs to create bioactive ZIF composites has attracted great interest. Bioactive ZIF composites have been developed that combine the multiple functions of bioactive molecules with the superior chemical and physical properties of ZIFs. This review thoroughly summarizes the ZIFs as well as the novel strategies for incorporating bioactive molecules into ZIFs. They are used in many different applications, especially in biosensors. Finally, biosensor applications of bioactive ZIFs were investigated in optical (fluorescence and colorimetric) and electrochemical (amperometric, conductometric, and impedance) fields. The surface of ZIFs makes it easier to immobilize bioactive molecules like DNA, enzymes, or antibodies, which in turn enables the construction of cutting-edge, futuristic biosensors.

The coronavirus pandemic shocked the already overwhelmed global healthcare system, challenging its preparedness to deal with mass fatalities. Our research examines the safety issues faced by healthcare workers when handling dead (deceased) bodies, highlighting the need for better strategies in the event of mass fatalities. Healthcare providers involved in dead body handling during the COVID-19 pandemic in the U.S. were eligible to participate in our study. Using a web-based survey, we analyzed responses of 206 participants across 43 U.S. states. We used the Systems Engineering Initiative for Patient Safety (SEIPS) framework to deduce themes from participants\' open-ended responses. The study showed how routine tasks become extraordinarily challenging during pandemic due to increased workload, emotional stress, and resource constraints. Tasks such as lifting and transferring bodies, underscored physical and emotional toll on workers. The mental strain induced by mass fatalities and the complexities of communicating with families and peers were also prominent, adding to the overall burden on healthcare workers. The participants emphasized the importance of specialized training, policy refinements, and improvements in its implementation. In conclusion, our study contributes to understanding the complexities of dead body handling during a pandemic. It underscores the need for emergency response planning and systemic changes in healthcare policies and practices to ensure the safety and well-being of healthcare workers engaged in these critical tasks.

The simultaneous circulation of seasonal influenza virus and SARS-CoV-2 variants will likely pose unique challenges to public health during the future influenza seasons. Persons who are undergoing treatment in healthcare facilities may be particularly at risk. It is important for healthcare personnel to protect themselves and patients by receiving vaccines. The purpose of this study is to assess coverage of the seasonal influenza vaccine and COVID-19 monovalent booster among healthcare personnel working at acute care hospitals in the United States during the 2021-22 influenza season and to examine the demographic and facility characteristics associated with coverage. A total of 3260 acute care hospitals with over 7 million healthcare personnel reported vaccination data to National Healthcare Safety Network (NHSN) during the 2021-22 influenza season. Two separate negative binomial mixed models were developed to explore the factors associated with seasonal influenza coverage and COVID-19 monovalent booster coverage. At the end of the 2021-2022 influenza season, the overall pooled mean seasonal influenza coverage was 80.3%, and the pooled mean COVID-19 booster coverage was 39.5%. Several demographic and facility-level factors, such as employee type, facility ownership, and geographic region, were significantly associated with vaccination against influenza and COVID-19 among healthcare personnel working in acute care hospitals. Our findings highlight the need to increase the uptake of vaccination among healthcare personnel, particularly non-employees, those working in for-profit and non-medical school-affiliated facilities, and those residing in the South.

OBJECTIVE: Irregular use of personal protective equipment (PPE) seriously affects the occupational health and safety of healthcare workers, especially in large public health emergencies such as COVID-19. The danger often occurs in some complex scenarios where the use of certain equipment does not comply with the spatial rules it specifies. The single object detection-based method is difficult to effectively verify whether the worker\'s use of PPE is normative. Also detecting the use of six classes of PPE brings a large computational load to the task.
METHODS: In this paper, we proposed an identification approach that combined human keypoints detection with deep learning object detection to help facilitate the monitoring of healthcare workers\' standard PPE use. We used YOLOv4 as the baseline model for PPE detection and MobileNetv3 as the backbone of the detector to reduce the computational effort. In addition, High-Resolution Net (HRNet) was the benchmark for keypoints detection, characterizing the coordinates of 25 key points in the human body. Generalized Intersection over Union (GIoU) was used to establish the association between PPEs and key points, and by calculating the matching score between a PPE and the corresponding body bounding boxes, the authenticity of the PPE specification could be effectively inferred.
RESULTS: The proposed detector is able to identify whether a healthcare worker is normatively using multiple equipment with a higher precision (95.81 %), recall (96.38 %), and F1-score (96.09 %). Meanwhile, the number of parameters (2.87 M) and the size of the model (6.4 MB) are also more lightweight than other comparative detectors.
CONCLUSIONS: Our approach is more reliable for reasoning about the normality of personal protection for healthcare workers in some complex scenarios than a single object detection-based approach. The developed identification framework provides a new automated monitoring solution for protection management in healthcare, and the modular design brings more flexible applications for different medical operation scenarios.

While national healthcare expenditures per capita in the United States exceed those in all other Organisation for Economic Co-operation and Development (OECD) countries, measures of health outcomes in the United States lag behind those in peer nations. This combination of high healthcare spending and relatively poor health has led to attempts to identify high- and low-value healthcare services and to develop mechanisms to reimburse health care providers based on the value of the care delivered. This article investigates the meaning of value in healthcare and identifies specific services delivered by interventional radiologists that have accrued evidence that they meet criteria for high-value services. Recognizing the shift in reimbursement to high-value care, it is imperative that interventional radiology (IR) develop the evidence needed to articulate to all relevant stakeholders how IR contributes value to the system.

In this perspective, the chair designate of the Healthcare Services Safety Investigation Body (HSSIB), the new arm\'s length body transitioning from the Healthcare Safety Investigation Branch (HSIB), reflects on how the Francis Inquiry was instrumental in changing the view of patient safety in the NHS, the role of HSIB over the last 5 years in identifying systemic causes of patient harm and what the future holds for HSSIB.

Recent events - on both a global scale and within individual countries - including the lockdowns associated with COVID-19 pandemic, inflation concerns, and political tensions, have increased pressure to reconfigure social services for ongoing sustainability. Healthcare services across the world are undergoing major system change (MSC). Given the complexity and different contextual drivers across healthcare systems, there is a need to use a variety of perspectives to improve our understanding of the processes for MSC. To expand the knowledge base and develop strategies for MSC requires analysing change projects from different perspectives to distil the elements that drove the success. We offer the Gateway Framework as a collaborative transformational system tool to assess and reorganise operations, services, and systems of healthcare organisations. This framework and guiding questions, accounts for past events whilst being proactive, future orientated, and derived from externally defined and a standardised requirements to promote safe, high-quality care.

BACKGROUND: Open Disclosure (OD) is open and timely communication about harmful events arising from health care with those affected. It is an entitlement of service-users and an aspect of their recovery, as well as an important dimension of service safety improvement. Recently, OD in maternity care in the English National Health Service has become a pressing public issue, with policymakers promoting multiple interventions to manage the financial and reputational costs of communication failures. There is limited research to understand how OD works and its effects in different contexts.
METHODS: Realist literature screening, data extraction, and retroductive theorisation involving two advisory stakeholder groups. Data relevant to families, clinicians, and services were mapped to theorise the relationships between contexts, mechanisms, and outcomes. From these maps, key aspects for successful OD were identified.
RESULTS: After realist quality appraisal, 38 documents were included in the synthesis (22 academic, 2 training guidance, and 14 policy report). 135 explanatory accounts were identified from the included documents (with n = 41 relevant to families; n = 37 relevant to staff; and n = 37 relevant to services). These were theorised as five key mechanism sets: (a) meaningful acknowledgement of harm, (b) opportunity for family involvement in reviews and investigations, (c) possibilities for families and staff to make sense of what happened, (d) specialist skills and psychological safety of clinicians, and (e) families and staff knowing that improvements are happening. Three key contextual factors were identified: (a) the configuration of the incident (how and when identified and classified as more or less severe); (b) national or state drivers, such as polices, regulations, and schemes, designed to promote OD; and (c) the organisational context within which these these drivers are recieived and negotiated.
CONCLUSIONS: This is the first review to theorise how OD works, for whom, in what circumstances, and why. We identify and examine from the secondary data the five key mechanisms for successful OD and the three contextual factors that influence this. The next study stage will use interview and ethnographic data to test, deepen, or overturn our five hypothesised programme theories to explain what is required to strengthen OD in maternity services.

Systems-theoretic process analysis (STPA) is a prospective safety assessment tool increasingly applied in healthcare. A problem hampering STPA proliferation is the difficulty of modeling systems for analysis by creating control structures. In this work, a method is proposed to use existing process maps-commonly available in healthcare-when creating a control structure. The proposed method entails (1) extract information from the process map, (2) determine the modeling boundary of the control structure, (3) transfer the extracted information to the control structure, (4) add additional information to complete the control structure. Two case studies were conducted: (1) ambulance patient offloading in the emergency department and (2) ischemic stroke care with intravenous thrombolysis. The amount of process map-derived information in the control structures was quantified. On average, 68% of the information in the final control structures was derived from the process map. Additional control actions and feedback were added from nonprocess map sources for management and frontline controllers. Despite the differences between process maps and control structures, much of the information in a process map can be used when creating a control structure. The method enables the creation of a control structure from a process map to be done in a structured fashion.