Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics

Fisher, Louis; Hopcroft, Lisa EM; Rodgers, Sarah; Barrett, James; Oliver, Kerry; Avery, Anthony J; Evans, Dai; Curtis, Helen; Croker, Richard; Macdonald, Orla; Morley, Jessica; Mehrkar, Amir; Bacon, Sebastian; Davy, Simon; Dillingham, Iain; Evans, David; Hickman, George; Inglesby, Peter; Morton, Caroline E; Smith, Becky; Ward, Tom; Hulme, William; Green, Amelia; Massey, Jon; Walker, Alex J; Bates, Christopher; Cockburn, Jonathan; Parry, John; Hester, Frank; Harper, Sam; O’Hanlon, Shaun; Eavis, Alex; Jarvis, Richard; Avramov, Dima; Griffiths, Paul; Fowles, Aaron; Parkes, Nasreen; Goldacre, Ben; MacKenna, Brian

Abstract

Objective: To implement complex, PINCER (pharmacist led information technology intervention) prescribing indicators, on a national scale with general practice data to describe the impact of the covid-19 pandemic on safe prescribing.

Design: Population based, retrospective cohort study using federated analytics.

Setting: Electronic general practice health record data from 56.8 million NHS patients by use of the OpenSAFELY platform, with the approval of the National Health Service (NHS) England.

Participants: NHS patients (aged 18-120 years) who were alive and registered at a general practice that used TPP or EMIS computer systems and were recorded as at risk of at least one potentially hazardous PINCER indicator.

Main outcome measure: Between 1 September 2019 and 1 September 2021, monthly trends and between practice variation for compliance with 13 PINCER indicators, as calculated on the first of every month, were reported. Prescriptions that do not adhere to these indicators are potentially hazardous and can cause gastrointestinal bleeds; are cautioned against in specific conditions (specifically heart failure, asthma, and chronic renal failure); or require blood test monitoring. The percentage for each indicator is formed of a numerator of patients deemed to be at risk of a potentially hazardous prescribing event and the denominator is of patients for which assessment of the indicator is clinically meaningful. Higher indicator percentages represent potentially poorer performance on medication safety.

Results: The PINCER indicators were successfully implemented across general practice data for 56.8 million patient records from 6367 practices in OpenSAFELY. Hazardous prescribing remained largely unchanged during the covid-19 pandemic, with no evidence of increases in indicators of harm as captured by the PINCER indicators. The percentage of patients at risk of potentially hazardous prescribing, as defined by each PINCER indicator, at mean quarter 1 (Q1) 2020 (representing before the pandemic) ranged from 1.11% (age ≥65 years and non-steroidal anti-inflammatory drugs) to 36.20% (amiodarone and no thyroid function test), while Q1 2021 (representing after the pandemic) percentages ranged from 0.75% (age ≥65 years and non-steroidal anti-inflammatory drugs) to 39.23% (amiodarone and no thyroid function test). Transient delays occurred in blood test monitoring for some medications, particularly angiotensin-converting enzyme inhibitors (where blood monitoring worsened from a mean of 5.16% in Q1 2020 to 12.14% in Q1 2021, and began to recover in June 2021). All indicators substantially recovered by September 2021. We identified 1 813 058 patients (3.1%) at risk of at least one potentially hazardous prescribing event.

Conclusion: NHS data from general practices can be analysed at national scale to generate insights into service delivery. Potentially hazardous prescribing was largely unaffected by the covid-19 pandemic in primary care health records in England.

Citation

Fisher, L., Hopcroft, L. E., Rodgers, S., Barrett, J., Oliver, K., Avery, A. J., …MacKenna, B. (2023). Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics. BMJ Medicine, 2(1), Article e000392. https://doi.org/10.1136/bmjmed-2022-000392

• Journal Article Type: Article
• Acceptance Date: Mar 16, 2023
• Online Publication Date: May 19, 2023
• Publication Date: May 19, 2023
• Deposit Date: Mar 24, 2023
• Publicly Available Date: Mar 24, 2023
• Journal: BMJ Medicine
• Electronic ISSN: 2754-0413
• Publisher: BMJ Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Issue: 1
• Article Number: e000392
• DOI: https://doi.org/10.1136/bmjmed-2022-000392
• Keywords: COVID-19, electronic health records, general practice, primary health care, medication errors, inappropriate prescribing
• Public URL: https://nottingham-repository.worktribe.com/output/8226975
• Publisher URL: https://bmjmedicine.bmj.com/content/2/1/e000392