Audit of the Sydney Local Health District Public Health Unit notification and contact tracing system during the first wave of COVID-19.

OBJECTIVE: To conduct a real-time audit to assess a Continuous Quality Improvement (CQI) activity to improve the quality of public health data in the Sydney Local Health District (SLHD) Public Health Unit during the first wave of COVID-19. METHODS: A real-time audit of the Notifiable Conditions Information Management System was conducted for positive cases of COVID-19 and their close contacts from SLHD. After recording missing and inaccurate data, the audit team then corrected the data. Multivariable regression models were used to look for associations with workload and time. RESULTS: A total of 293 cases were audited. Variables measuring completeness were associated with improvement over time (p<0.0001), whereas those measuring accuracy reduced with increased workload (p=0.0003). In addition, the audit team achieved 100% data quality by correcting data. CONCLUSION: Utilising a team, separate from operational staff, to conduct a real-time audit of data quality is an efficient and effective way of improving epidemiological data. Implications for public health: Implementation of CQI in a public health unit can improve data quality during times of stress. Auditing teams can also act as an intervention in their own right to achieve high-quality data at minimal cost. Together, this can result in timely and high-quality public health data.

[A&F to monitor and promote quality in healthcare during the COVID-19 emergency: the EASY-NET work]. / A&F per il monitoraggio e la promozione della qualità delle cure in emergenza COVID-19: il lavoro di EASY-NET.

We are presenting here the findings of the reaction to the COVID-19 epidemic during the period March to June 2020 of those centres participating in the research EASY-NET which is on-going in Italy, funded by the Ministry of Health and co-founded by the Regional Health Authorities. The objective of EASY-NET is to evaluate the effectiveness of the audit and feedback (A&F) strategies in different clinical and organizational settings in seven regions. As a negative consequence of the COVID-19 epidemic, the activities of the project have suddenly slowed down; nevertheless, the COVID-19 epidemic represented an opportunity to apply the A&F methodology and support the healthcare within the regional authorities in order to manage and monitor the impact of this new disease. The reaction to the crisis on behalf of EASY-NET was inconsistent across the participating regions for various reasons. Factors which influenced the reaction levels in relation to the rapidity and efficiency of the implementation of the A&F strategies were as follows: the varying epidemiological impact of the COVID-19 epidemic in the various territories, the different clinical and organizational context and availability of expert research teams together with A&F procedures which had already been tested before the start of the epidemic.

[Assessment model for evaluating the preparedness plan for COVID-19 in a tertiary care hospital]. / Modelo de evaluación del plan de respuesta frente a la pandemia de COVID-19 en un hospital de tercer nivel.

BACKGROUND AND PURPOSE: During the first wave of the epidemic caused by SARS-CoV-2, hospitals have come under significant pressure. This scenario of uncertainty, low scientific evidence, and insufficient resources, has generated significant variability in practice between different health organisations. In this context, it is proposed to develop a standards-based model for the evaluation of the preparedness and response system against COVID-19 in a tertiary hospital. MATERIALS AND METHODS: The study, carried out at the University Hospital of Vall d'Hebron in Barcelona (Spain), was designed in two phases: 1) development of the standards-based model, by means of a narrative review of the literature, analysis of plans and protocols implemented in the hospital, a review process by expert professionals from the centre, and plan of action, and 2) validation of usability and usefulness of the model through self-assessment and hospital audit. RESULTS: The model contains 208 standards distributed into nine criteria: leadership and strategy; prevention and infection control; management of professionals and skills; public areas; healthcare areas; areas of support for diagnosis and treatment; logistics, technology and works; communication and patient care; and information and research systems. The evaluation achieved 85.2% compliance, with 42 areas for improvement and 96 good practices identified. CONCLUSIONS: Implementing a standards-based model is a useful tool to identify areas for improvement and good practices in COVID-19 preparedness and response plans in a hospital. In the current context, it is recommended to repeat this methodology in other non-hospital and public health settings.

Informing critical care drug requirements in response to the COVID-19 pandemic.

OBJECTIVES: The main aim was to develop a process to estimate critical care drug requirements to robustly inform regional procurement planning and preparedness in response to the COVID-19 pandemic. The objectives were to identify critical care drugs required, obtain patient usage data and consider current regional practice to establish the requirement. METHOD: Health and Social Care (HSC) Trusts across Northern Ireland (NI) identified critical care drugs required and an estimation of average daily usage data. The Microsoft Excel database was constructed to compile Trust data and establish regional requirement. The database was refined further according to real-world data from NI HSC Trusts, Intensive Care National Audit and Research Centre report on COVID-19 in critical care, daily regional COVID-19 figures and other available National data. Components of a tool originally developed for H1N1 and updated for COVID-19 were adapted to reflect the NI context and used in the regional database. The database was clinically reviewed to ensure that it accurately reflected current regional practice given the evolving nature of the pandemic. RESULTS: The critical care drugs required in the pandemic, usage data and current regional practice were identified to establish requirement. A regional database was constructed and used to produce a model for calculating approximate critical drug requirements. The model was used to map critical drug requirements to available stock in Trusts and wholesalers/suppliers, enabling the identification of treatment capacity for these medicines regionally, both currently and for projected surges. Data have also been used in the preparation of weekly regional situation reports provided to both the HSC Board and the Department of Health. CONCLUSION: The process developed is a robust approach to assist in informing regional critical care drug requirements in response to the COVID-19 pandemic. Further application has been demonstrated in regional procurement planning and preparedness.