Changes in English medication safety indicators throughout the COVID-19 pandemic: a federated analysis of 57 million patients’ primary care records in situ using OpenSAFELY
Changes in English medication safety indicators throughout the COVID-19 pandemic: a federated analysis of 57 million patients’ primary care records in situ using OpenSAFELY
Abstract ObjectiveTo describe the impact of the COVID-19 pandemic on safe prescribing, using the PINCER prescribing indicators; to implement complex prescribing indicators at national scale using GP data. DesignPopulation based cohort study, with the approval of NHS England using the OpenSAFELY platform. SettingElectronic health record data from 56.8 million NHS patients’ general practice records. ParticipantsAll NHS patients registered at a GP practice using TPP or EMIS computer systems and recorded as at risk of at least one potentially hazardous PINCER indicator between September 2019 and September 2021. Main outcome measureMonthly trends and between-practice variation for compliance with 13 PINCER measures between September 2019 and September 2021. ResultsThe indicators were successfully implemented across GP data in OpenSAFELY. Hazardous prescribing remained largely unchanged during the COVID-19 pandemic, with only small reductions in achievement of the PINCER indicators. There were transient delays in blood test monitoring for some medications, particularly ACE inhibitors. All indicators exhibited substantial recovery by September 2021. We identified 1,813,058 patients at risk of at least one hazardous prescribing event. ConclusionGood performance was maintained during the COVID-19 pandemic across a diverse range of widely evaluated measures of safe prescribing. Summary boxWHAT IS ALREADY KNOWN ON THIS TOPICPrimary care services were substantially disrupted by the COVID-19 pandemic.Disruption to safe prescribing during the pandemic has not previously been evaluated.PINCER is a nationally adopted programme of activities that aims to identify and correct hazardous prescribing in GP practices, by conducting manual audit on subgroups of practices.WHAT THIS STUDY ADDSFor the first time, we were able to successfully generate data on PINCER indicators for almost the whole population of England, in a single analysis.Our study is the most comprehensive assessment of medication safety during the COVID-19 pandemic in England, covering 95% of the population using well-validated measures.Good performance was maintained across many PINCER indicators throughout the pandemic.Delays in delivering some medication-related blood test monitoring were evident though considerable recovery was made by the end of the study period.
Fisher Louis、Avery Anthony J.、Smith Becky、Bacon Seb、Hopcroft Lisa E. M.、Rodgers Sarah、Croker Richard、Evans David、Green Amelia、Massey Jon、Jarvis Richard、Avramov Dima、Fowles Aaron、Goldacre Ben、Walker Alex J.、Hester Frank、Hickman George、Macdonald Orla、Hulme William、Ward Tom、Harper Sam、Parry John、Inglesby Peter、Mehrkar Amir、Dillingham Iain、Griffiths Paul、Evans Dai、Cockburn Jonathan、Eavis Alex、Parkes Nasreen、MacKenna Brian、O?ˉHanlon Shaun、Barrett James、Morton Caroline E.、Oliver Kerry、Bates Chris、Davy Simon、Morley Jessica、Curtis Helen
Bennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordCentre for Academic Primary Care, School of Medicine, Faculty of Medicine and Health Sciences, University of NottinghamBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordPRIMIS, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, NottinghamBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordEMIS HealthEMIS HealthEMIS HealthBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordTPPBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordTPPTPPBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordEMIS HealthPRIMIS, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, NottinghamTPPEMIS HealthEMIS HealthBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordEMIS HealthPRIMIS, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, NottinghamBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordPRIMIS, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, NottinghamTPPBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of OxfordBennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford
医学研究方法医药卫生理论
COVID-19electronic health recordsgeneral practiceprimary health caremedication errorsinappropriate prescribing
Fisher Louis,Avery Anthony J.,Smith Becky,Bacon Seb,Hopcroft Lisa E. M.,Rodgers Sarah,Croker Richard,Evans David,Green Amelia,Massey Jon,Jarvis Richard,Avramov Dima,Fowles Aaron,Goldacre Ben,Walker Alex J.,Hester Frank,Hickman George,Macdonald Orla,Hulme William,Ward Tom,Harper Sam,Parry John,Inglesby Peter,Mehrkar Amir,Dillingham Iain,Griffiths Paul,Evans Dai,Cockburn Jonathan,Eavis Alex,Parkes Nasreen,MacKenna Brian,O?ˉHanlon Shaun,Barrett James,Morton Caroline E.,Oliver Kerry,Bates Chris,Davy Simon,Morley Jessica,Curtis Helen.Changes in English medication safety indicators throughout the COVID-19 pandemic: a federated analysis of 57 million patients’ primary care records in situ using OpenSAFELY[EB/OL].(2025-03-28)[2025-04-27].https://www.medrxiv.org/content/10.1101/2022.05.05.22273234.点此复制
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