Evidence map›Paper›PMID 41916633›Full record

Observational studyBMJ open2026

De-implementation of healthcare interventions post-COVID-19: evidence from the Evidence-Based Interventions (EBI) programme in England.

Joel Glynn, Tim Jones, Mike Bell, Jane M Blazeby, Christopher Burton, Carmel Conefrey, Jenny Donovan, Nicola Farrar, Josie Morley, Angus Gk McNair and 7 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Joel GlynnHealth Economics and Health Policy at Bristol (HEHP), University of Bristol Medical School, Bristol, UK joel.glynn@bristol.ac.uk.ORCID http://orcid.org/0000-0002-3790-9205
Tim JonesUniversity of Bristol Musculoskeletal Research Unit, Bristol, UK.ORCID http://orcid.org/0000-0002-1199-8668
Mike BellNIHR ARC West, Bristol, Bristol, UK.
Jane M BlazebyNIHR Bristol Biomedical Research Centre, Bristol, Bristol, UK.
Christopher BurtonSchool of Allied Health Professions, Canterbury Christ Church University, Canterbury, Kent, UK.
Carmel ConefreyUniversity of Bristol Medical School, Bristol, UK.
Jenny DonovanUniversity of Bristol Medical School, Bristol, UK.
Nicola FarrarUniversity of Bristol Medical School, Bristol, UK.
Josie MorleyUniversity of Bristol Medical School, Bristol, UK.
Angus Gk McNairCentre for Surgical Research, Bristol Medical School: Population Health Sciences, University of Bristol Medical School, Bristol, UK.ORCID http://orcid.org/0000-0002-2601-9258
Amanda Owen-SmithHealth Economics and Health Policy at Bristol (HEHP), University of Bristol Medical School, Bristol, UK.
Ellen RuleGloucestershire Integrated Care Board, Gloucester, UK.
Gail ThorntonUniversity of Bristol Medical School, Bristol, UK.
Victoria TuckerBristol, North Somerset and South Gloucestershire ICB, Bristol, UK.
Iestyn WilliamsUniversity of Birmingham Health Services Management Centre, Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-9462-9488
Leila RooshenasUniversity of Bristol Medical School, Bristol, UK.ORCID http://orcid.org/0000-0002-6166-6055
William HollingworthHealth Economics and Health Policy at Bristol (HEHP), University of Bristol Medical School, Bristol, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe explored the effectiveness of the Evidence-Based Interventions (EBI) programme which aimed to reduce the number of inappropriate procedures or diagnostic tests ('interventions') in the English National Health Service (NHS). For 12 interventions, we evaluated whether expected intervention counts fell or geographical variation was reduced across England following the publication of EBI Wave 2 guidance in November 2020.

designWe conducted a retrospective observational study utilising routine hospital data. We applied a controlled interrupted time series analysis to examine both step and trend changes in the use of EBI interventions following the publication of the EBI Wave 2. We compared geographical variation in intervention rates pre-EBI and post-EBI.

settingEnglish hospitals where NHS funded elective healthcare interventions are performed.

participantsPatients who had NHS-funded elective interventions in England from March 2018 to February 2022 inclusive.

resultsHalf of the 12 interventions evaluated had significantly lower counts compared with their controls by February 2022. For five of these interventions, counts were between 20% and 57% lower than expected. This was the result of either (1) a larger fall in procedure counts by the end of the pandemic period (n=4 interventions); (2) declining counts post-pandemic (n=1); or (3) a combination of both (n=1). The remaining six interventions had similar or greater than expected counts by February 2022. There was limited evidence of reductions in geographical variation in procedure rates after publication of EBI guidance.

conclusionsWave 2 of the EBI programme had a mixed impact on the use of the interventions targeted. There were some successes, however, following significant reduction in the use of elective care during the pandemic, half of the interventions evaluated returned to utilisation at or above predicted levels.

Indexed as

COVID-19Evidence-Based MedicineUnnecessary ProceduresEnglandHumansInterrupted Time Series AnalysisRetrospective StudiesState MedicineCOVID-19HEALTH ECONOMICSHealth policyImplementation ScienceSURGERY

Identifiers

PMID41916633
PMCPMC13052614

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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.