The Swedish Perioperative Register: Description, validation of data mapping and utility

Acta Anaesthesiol Scand. 2023 Feb;67(2):233-239. doi: 10.1111/aas.14174. Epub 2022 Dec 14.

Abstract

Background: Since 2013 surgical units in Sweden have reported procedures to the national Swedish Perioperative Register (SPOR). More than four million cases have been documented. Data consist of patient ID, type of surgery, diagnoses, time stamps during the perioperative process (from the decision to operate to the time of discharge from the postoperative recovery area) and quality measures. This article aims to describe SPOR and validate data mapping. Also, we wished to illustrate the utility of the SPOR in assessing variations in national surgical capacity during the COVID-19 pandemia years 2020-2021.

Methods: After a detailed description of SPOR, we report on the validation of data performed by comparing data from local databases with data stored in the central SPOR database, assessing missing values and accuracy. Effects of the pandemic on surgical capacity were described by developing an index, based on the number of performed surgical procedures per week during four production weeks in January 2020. Subsequent weeks were then compared with this baseline.

Results: The validation effort demonstrated nearly 100% data accuracy for the number and type of surgical procedures between local and central data. Missing data was a problem for some parameters. The number of performed surgical procedures decreased dramatically from week 11 in 2020 compared with normal production on a national basis, mainly impairing elective surgery.

Discussion: Data validation revealed good agreement between local and central databases. The changes in national surgical capacity during the pandemic were illustrated by an index based on the reported surgical production.

Keywords: COVID-19; anaesthesia; complication; perioperative medicine; quality register; surgery.

MeSH terms

  • COVID-19* / epidemiology
  • Elective Surgical Procedures
  • Humans
  • Sweden / epidemiology