A new model to prioritize waiting lists for elective surgery under the COVID-19 pandemic pressure (original) (raw)
Related papers
2020
Mini abstractWe tested usability, safety, and ability to manage elective surgery flow of a multidisciplinary pathway adopting the SWALIS-2020 model in an interhospital setting during the COVID-19 pandemic. This pilot included 295 adults. The pathway prioritized, monitored and scheduled surgery in an 840.000-inhabitants area. Using the COVID-19-GOA-Sur-MDT-SWALIS-2020 model may be warranted.Structured abstractThe COVID-19 outbreak burdens non-COVID elective surgery patients with figures similar to the SARS-Cov-2, by creating an overwhelming demand, increasing waiting times and costs. New tools are urgently needed to manage elective access. The study assesses the “SWALIS-2020” model’s ability to prioritize and optimize access to surgery during the pandemic.A 2020 March - May feasibility-pilot study, tested a software-aided, inter-hospital, multidisciplinary pathway. All specialties patients in the Genoa Departments referred for urgent elective surgery were included in a multidisciplin...
A model to prioritize access to elective surgery on the basis of clinical urgency and waiting time
BMC Health Services Research, 2009
Background Prioritization of waiting lists for elective surgery represents a major issue in public systems in view of the fact that patients often suffer from consequences of long waiting times. In addition, administrative and standardized data on waiting lists are generally lacking in Italy, where no detailed national reports are available. This is true although since 2002 the National Government has defined implicit Urgency-Related Groups (URGs) associated with Maximum Time Before Treatment (MTBT), similar to the Australian classification. The aim of this paper is to propose a model to manage waiting lists and prioritize admissions to elective surgery. Methods In 2001, the Italian Ministry of Health funded the Surgical Waiting List Info System (SWALIS) project, with the aim of experimenting solutions for managing elective surgery waiting lists. The project was split into two phases. In the first project phase, ten surgical units in the largest hospital of the Liguria Region were involved in the design of a pre-admission process model. The model was embedded in a Web based software, adopting Italian URGs with minor modifications. The SWALIS pre-admission process was based on the following steps: 1) urgency assessment into URGs; 2) correspondent assignment of a pre-set MTBT; 3) real time prioritization of every referral on the list, according to urgency and waiting time. In the second project phase a prospective descriptive study was performed, when a single general surgery unit was selected as the deployment and test bed, managing all registrations from March 2004 to March 2007 (1809 ordinary and 597 day cases). From August 2005, once the SWALIS model had been modified, waiting lists were monitored and analyzed, measuring the impact of the model by a set of performance indexes (average waiting time, length of the waiting list) and Appropriate Performance Index (API). Results The SWALIS pre-admission model was used for all registrations in the test period, fully covering the case mix of the patients referred to surgery. The software produced real time data and advanced parameters, providing patients and users useful tools to manage waiting lists and to schedule hospital admissions with ease and efficiency. The model protected patients from horizontal and vertical inequities, while positive changes in API were observed in the latest period, meaning that more patients were treated within their MTBT. Conclusion The SWALIS model achieves the purpose of providing useful data to monitor waiting lists appropriately. It allows homogeneous and standardized prioritization, enhancing transparency, efficiency and equity. Due to its applicability, it might represent a pragmatic approach towards surgical waiting lists, useful in both clinical practice and strategic resource management.
Dynamic Surgical Waiting List Methodology: A Networking Approach
Mathematics
In Chile and the world, the supply of medical hours to provide care has been reduced due to the health crisis caused by COVID-19. As of December 2021, the outlook has been critical in Chile, both in medical and surgical care, where 1.7 million people wait for care, and the wait for surgery has risen from 348 to 525 days on average. This occurs mainly when the demand for care exceeds the supply available in the public system, which has caused serious problems in patients who will remain on hold and health teams have implemented management measures through prioritization measures so that patients are treated on time. In this paper, we propose a methodology to work in net for predicting the prioritization of patients on surgical waiting lists (SWL) embodied with a machine learning scheme for a high complexity hospital (HCH) in Chile. That is linked to the risk of each waiting patient. The work presents the following contributions; The first contribution is a network method that predict...
Bone & Joint Open
Aims Restarting planned surgery during the COVID-19 pandemic is a clinical and societal priority, but it is unknown whether it can be done safely and include high-risk or complex cases. We developed a Surgical Prioritization and Allocation Guide (SPAG). Here, we validate its effectiveness and safety in COVID-free sites. Methods A multidisciplinary surgical prioritization committee developed the SPAG, incorporating procedural urgency, shared decision-making, patient safety, and biopsychosocial factors; and applied it to 1,142 adult patients awaiting orthopaedic surgery. Patients were stratified into four priority groups and underwent surgery at three COVID-free sites, including one with access to a high dependency unit (HDU) or intensive care unit (ICU) and specialist resources. Safety was assessed by the number of patients requiring inpatient postoperative HDU/ICU admission, contracting COVID-19 within 14 days postoperatively, and mortality within 30 days postoperatively. Results A ...
Acta bio-medica : Atenei Parmensis, 2021
Background and aim This study analyses the impact of the first two pandemic waves on surgical urgencies/emergencies and their consequences on an entire provincial hospital network's surgical activities. Methods Clinical and epidemiological data of urgent/emergent surgical admissions and interventions in the Autonomous Province of Trento's hospital network were collected from the internal common electronic database. The investigation periods were March-May 2019 (reference period), March-May 2020 (phase-I), June - August 2020 (phase-II), and October - December 2020 (phase-III). The same data were divided and grouped for the six most represented diagnoses. Results: The number of admissions for surgical emergencies in the studied periods showed a sinusoidal trend. In the reference period of 2019, 957 patients were admitted in urgency, while in the three pandemic phases, urgent admissions were 511, 888 and 633 respectively (-47% in phase I, - 8% in phase II, -34% in phase III). ...