A new model to prioritize and optimize access to elective surgery throughout the COVID-19 pandemic: A feasibility & pilot study.
Stefano Di Domenico,
Franco De Cian,
Posted 26 Jul 2020
medRxiv DOI: 10.1101/2020.07.21.20157719
Posted 26 Jul 2020
The COVID-19 pandemic burdens non-covid elective surgical patients by reducing service capacity, forcing extreme selection of patients most in need. Our study assesses the SWALIS- 2020 model ability to prioritize access to surgery during the highest viral outbreak peaks. A 2020 March - May feasibility-pilot study tested a software-aided, inter-hospital, multidisciplinary pathway. All specialties patients in the Genoa Surgical Departments referred for urgent elective patients were prioritized by a modified Surgical Waiting List InfoSystem (SWALIS) cumulative prioritization method (PAT-2020) based on waiting time and clinical urgency, in three subcategories: A1-15 days (certain rapid disease progression), A2-21 days (probable progression), and A3-30 days (potential progression). We have studied the models applicability and its ability to prioritize patients by monitoring waiting list and service performance. https://www.isrctn.com/ISRCTN11384058. Following the feasibility study (N=55 patients), 240 referrals were evaluated in 4 weeks without major criticalities (M/F=73/167, Age=68.7 +/- 14.0). Waiting lists were prioritized and monitored. The SWALIS-2020 score (% of waited-against-maximum time) at operation was 88.7 +/- 45.2 at week 1 and then persistently over 100% (efficiency), over a controlled variation (equity), with a difference between A3 (153.29 +/- 103.52) vs. A1 (97.24 +/- 107.93) (p <0.001), and A3 vs. A2 (88.05 +/- 77.51) (p <0.001). 222 patients underwent surgery, without related complications or delayed/failed discharges. The pathway has selected the very few patients with the greatest need, even with +30% capacity weekly modifications, managing active and backlog waiting lists. We are looking for collaboration for multi-center research.
- Downloaded 598 times
- Download rankings, all-time:
- Site-wide: 44,163
- In surgery: 12
- Year to date:
- Site-wide: 25,202
- Since beginning of last month:
- Site-wide: 22,328
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!