Evidence map›Paper›PMID 40093393›Full record

ArticleThe Lancet regional health. Europe2025

Impact of COVID-19 pandemic on elective care backlog trends, recovery efforts, and capacity needs to address backlogs in Scotland (2013-2023): a descriptive analysis and modelling study.

Syed Ahmar Shah, Karen Jeffrey, Chris Robertson, Aziz Sheikh

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. COVID-19 on Elective Surgery Outcomes in a Brazilian Tertiary Hospital: A Retrospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Syed Ahmar ShahUsher Institute, The University of Edinburgh, Edinburgh, UK.
Karen JeffreyUsher Institute, The University of Edinburgh, Edinburgh, UK.
Chris RobertsonDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
Aziz SheikhUsher Institute, The University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prioritisation of COVID-19 care led to widespread cancellations of elective care, creating a substantial backlog for healthcare systems worldwide. While the pandemic's impacts on elective hospital waiting lists during the early phase of the pandemic have been described in multiple countries, there is limited research on longer-term impacts and recovery efforts. Methods: We conducted a country-wide analysis of Scotland's healthcare system over an 11-year period (January 1, 2013-December 31, 2023) to assess the pandemic's impact on the elective care backlog, evaluate recovery efforts, and estimate the capacity increase required to clear the backlog. Our analysis involved assessments at national, elective type, regional, and specialty levels. We used descriptive statistics to compare trends and a statistical modelling approach (Vector Autoregressive model with exogenous variables) to estimate capacity increases needed. Findings: Waiting lists gradually increased before the pandemic (2013: n = 285,149; 2019: n = 385,859; 35.3% increase over six years) and then rose rapidly during the pandemic (2023: n = 667,749; 73.1% increase over four years). Capacity for elective care dropped substantially during the initial lockdown period (April-June 2020) and had not fully recovered by the end of 2023. These patterns were broadly consistent across Scotland and similar trends were observed when stratified by elective type, region, and specialty. The number of referrals waiting over a year increased from 3056 on December 31, 2019, to 78,243 (>2400% increase) by December 31, 2023. To eliminate the backlog created during the pandemic, a gradual increase in capacity, accumulating to 20% over three years is required. This corresponds to an annual increase of approximately 6.67%, translating to an additional 32,302 cases per year. Interpretation: Scotland's healthcare system struggled to meet elective care demand pre-pandemic, and the pandemic has worsened an already difficult situation. Pre-pandemic elective care capacity had not been restored by the end of 2023. While substantial additional capacity is necessary, it is crucial to adopt broader system-level strategies to effectively address waiting list backlogs. Funding: University of Edinburgh's Chancellor Fellowship; Health Data Research UK.

Indexed as

Elective careHealthcare systems modellingHealth policyMultivariable prediction modelsNHS ScotlandPublic healthReal-world data

Identifiers

PMID40093393
PMCPMC11910793

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.