4
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      La lista de espera en tiempos de pandemia. Una reflexión sobre sus indicadores

      letter

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references6

          • Record: found
          • Abstract: found
          • Article: found

          Elective surgery cancellations due to the COVID ‐19 pandemic: global predictive modelling to inform surgical recovery plans

          Background The COVID‐19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID‐19. Methods A global expert‐response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian beta‐regression model was used to estimate 12‐week cancellation rates for 190 countries. Elective surgical case‐mix data, stratified by specialty and indication (cancer versus benign surgery), was determined. This case‐mix was applied to country‐level surgical volumes. The 12‐week cancellation rates were then applied to these figures to calculate total cancelled operations. Results The best estimate was that 28,404,603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID‐19 (2,367,050 operations per week). Most would be operations for benign disease (90.2%, 25,638,922/28,404,603). The overall 12‐week cancellation rate would be 72.3%. Globally, 81.7% (25,638,921/31,378,062) of benign surgery, 37.7% (2,324,069/6,162,311) of cancer surgery, and 25.4% (441,611/1,735,483) of elective Caesarean sections would be cancelled or postponed. If countries increase their normal surgical volume by 20% post‐pandemic, it would take a median 45 weeks to clear the backlog of operations resulting from COVID‐19 disruption. Conclusions A very large number of operations will be cancelled or postponed due to disruption caused by COVID‐19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to safely restore surgical activity. This article is protected by copyright. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: not found
            • Book: not found

            Sistema de Información de Listas de Espera del Sistema Nacional de Salud

            (2024)
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Impacto de la covid-19 sobre las listas de espera quirúrgicas

                Bookmark

                Author and article information

                Journal
                resp
                Revista Española de Salud Pública
                Rev. Esp. Salud Publica
                Ministerio de Sanidad, Consumo y Bienestar social (Madrid, Madrid, Spain )
                1135-5727
                2173-9110
                2021
                : 95
                : e202107098
                Affiliations
                [3] Madrid orgnameUniversidad a Distancia de Madrid orgdiv1Máster Ciencias Biológicas Spain
                [2] Islas Canarias orgnameServicio Canario de la Salud orgdiv1Servicio de Gestión Sanitaria del Hospital Universitario Nuestra Señora de Candelaria España
                [1] Islas Canarias orgnameServicio Canario de la Salud orgdiv1Dirección General de Programas Asistenciales España
                Article
                S1135-57272021000100801 S1135-5727(21)09500000801
                42730474-6782-4786-a898-4b9aeffb82e3

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 International License.

                History
                : 13 April 2021
                : 01 June 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 6, Pages: 0
                Product

                SciELO Public Health

                Categories
                Cartas a la Dirección

                Comments

                Comment on this article