Evidence map›Paper›PMID 42156149›Full record

ArticleBMJ open2026

Measurement of quality of stroke care with national electronic health records: a prospective cohort study during and after the COVID-19 pandemic.

James Farrell, John Nolan, Roger Lambert, Ana Torralbo, Steffen E Petersen, Mevhibe Hocaoglu, Chris Tomlinson, Reecha Sofat, Qi Huang, Evan Kontopantelis and 7 more

Abstract read
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Article 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

James FarrellBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
John NolanBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
Roger LambertBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
Ana TorralboUniversity College London Institute of Health Informatics, London, England, UK.
Steffen E PetersenBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.ORCID http://orcid.org/0000-0003-4622-5160
Mevhibe HocaogluCicely Saunders Institute, King's College London, London, England, UK.
Chris TomlinsonUniversity College London Institute of Health Informatics, London, England, UK.ORCID http://orcid.org/0000-0002-0903-5395
Reecha SofatBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
Qi HuangClinical Operational Research Unit, University College London, London, UK.
Evan KontopantelisThe University of Manchester Division of Informatics Imaging and Data Sciences, Manchester, England, UK.ORCID http://orcid.org/0000-0001-6450-5815
Martin JamesUniversity of Exeter Medical School, Exeter, England, UK.
Sarah LesselsBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
Jacqueline A L MacArthurBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.ORCID http://orcid.org/0000-0002-3550-9769
Angela M WoodBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
William N WhiteleyBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK william.whiteley@ed.ac.uk.ORCID http://orcid.org/0000-0002-4816-8991
Spiros DenaxasBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
CVD-COVID-UK/COVID-IMPACT Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the value of linked electronic health records (EHRs) for measuring stroke care quality in England before and after the COVID-19 pandemic, focusing on metrics not routinely captured: stroke incidence, dispensing of secondary prevention medications and a proxy of disability-time spent at home after stroke ('home-time').

designProspective cohort study using national linked datasets.

settingEngland-wide health data linkage including the Sentinel Stroke National Audit Programme (SSNAP), primary and secondary care, dispensed medications and mortality records, accessed via National Health Service (NHS) England's Secure Data Environment.

participants425 675 adults with a first stroke between 1 January 2020 and 31 December 2023; data were available for 304 210 in primary care, 279 825 in hospital admissions, 220 470 in SSNAP and 59 465 in death records.

main outcome measuresAnnual stroke incidence; first-year medication dispensing rates for antiplatelets, anticoagulants, antihypertensives and lipid-lowering agents (with a 1-month washout period) and home-time at 180 days post stroke.

resultsStroke ascertainment was highest when combining all sources, with 10.8% of non-fatal ischaemic strokes recorded exclusively in primary care and 19.4% of fatal strokes identified solely through death records. Standardised annual stroke incidence rose from 227.6 (95% CI 226.1 to 229.0) to 244.8 (95% CI 243.4 to 246.3) per 100 000 over the study period including the COVID-19 pandemic. During the COVID-19 lockdown, non-fatal stroke recordings decreased while stroke-related deaths rose, indicating that recording quality was sensitive to shifts in healthcare-seeking behaviour during the pandemic. Among people with ischaemic stroke, 89.1% received an antiplatelet or anticoagulant, 44.5% an antihypertensive and 80.5% a lipid-lowering therapy. For haemorrhagic stroke, these proportions were: for anticoagulants 13.5%, antiplatelets 13.2%, antihypertensives 46.6% and lipid lowering 41.1%. Medication dispensing for stroke prevention declined with increasing age and comorbidity, but varied little by ethnicity, region or pandemic period. Mean home-time within 180 days of stroke was 166.6 (95% CI 166.4 to 166) days, decreasing with greater age (141.4 days for 90 years or older (95% CI 140.7 to 142.1)), deprivation (166.4 days (95% CI 166.1 to 166.6) for most deprived quintile) and stroke severity (137.4 days for National Institutes of Health Stroke Scale (NIHSS) score on arrival over 22 (95% CI 135.8 to 139.1)) and increasing with years from the COVID-19 pandemic 2023 (169.3 days (95% CI 169.0 to 169.5) vs 2020 164.4 days (95% CI 164.1 to 164.7)).

conclusionsStandardised stroke incidence increased significantly over the study period, highlighting a growing public health burden that persisted despite disruptions due to the pandemic although variation in case ascertainment and stroke coding practices was observed. While secondary prevention coverage for antiplatelets and lipids was high, lower rates of dispensing of antihypertensives, particularly in older and comorbid populations, potentially signal a target for improvement. Home-time represents a sensitive, person-centred outcome that exposes disparities linked to socioeconomic deprivation and clinical severity that can be used to enhance routine stroke audits. These findings justify the expansion of linked EHR infrastructure and the modernisation of governance frameworks to enable the longitudinal evaluation of care quality beyond the COVID-19 era.

Indexed as

COVID-19Electronic Health RecordsQuality of Health CareStrokeAgedAged, 80 and overEnglandFemaleHumansIncidenceMaleMiddle AgedPandemicsProspective StudiesSARS-CoV-2COVID-19Quality in health careStroke

Identifiers

PMID42156149
PMCPMC13202037

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