Evidence map›Paper›PMID 32930797›Full record

ArticleJournal of public health (Oxford, England)2020

Tackling the elective case backlog generated by Covid-19: the scale of the problem and solutions.

Nathanael Macdonald, Caterina Clements, Anshul Sobti, Daniel Rossiter, Ashwin Unnithan, Nicholas Bosanquet

Open access · bronzeAbstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 6% of its field
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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Nathanael MacdonaldOrthopaedics, Ashford and St Peters NHS Trust, Ashford, UK.
Caterina ClementsGeneral Surgery, Kingston Hospital NHS trust, Kingston upon Thames, UK.
Anshul SobtiOrthopaedics, Ashford and St Peters NHS Trust, Ashford, UK.
Daniel RossiterOrthopaedics, Ashford and St Peters NHS Trust, Ashford, UK.
Ashwin UnnithanImperial College London, London, UK.
Nicholas BosanquetImperial College London, London, UK.
Imperial College London · GBKingston Hospital NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn April 2020, Covid-19 brought NHS elective procedures to a halt. The aim of this paper is to produce accurate forecasts on the building backlog, highlight the state of waiting lists currently and propose solutions required to prevent a public health crisis.

methodUsing data published by NHS digital and NHS England on previous years, we have analysed and used this to produce estimates of cancellations and missed cases. We also analyse government data on waiting lists and show compliance or lack of with these.

resultsWe show that compliance with waiting list times pre pandemic was falling year on year (83.2% in 2020 down from 87% in 2019). Every month that passes we estimate that 400 000 cases are not being performed. This may include urgent cancer care work in some trusts.

conclusionsWaiting lists have been governed by strict rules since 2004. Given falling compliance with 18-week intention to treat we believe the scale of the backlog combined with NHS capacity diminished due to Covid-19 precautions is a public health crisis waiting to occur. We identify difficulties in resuming elective work and suggest strategies that could be employed to avoid a public health crisis.

Indexed as

Appointments and SchedulesWaiting ListsCOVID-19Delivery of Health CareEnglandHumansPandemicsSARS-CoV-2State Medicineemergency planninghealth servicesplanning

Identifiers

PMID32930797
PMCPMC7543523
OpenAlexW3086073330

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.