A Time-Varying Analysis of General Practice Prescribing in the COVID-19 Era: Lessons from Prescription Dynamics in a Pandemic
dc.contributor.author | Mokbel, K | |
dc.contributor.author | Emblin, K | |
dc.contributor.author | Daniels, R | |
dc.contributor.author | Alghamdi, F | |
dc.contributor.author | Jackson, L | |
dc.date.accessioned | 2024-11-29T14:35:40Z | |
dc.date.issued | 2024-12-31 | |
dc.date.updated | 2024-11-29T00:36:06Z | |
dc.description.abstract | Background/Aim: Pharmacotherapy is vital in medicine, but inappropriate and inadequate use of medications significantly impacts global mortality and morbidity. Increased prescribing may indicate irrational use or prolonged illness, while decreased prescribing could suggest undertreatment, supply shortages, or the availability of safer, more effective treatments. The COVID-19 pandemic disrupted health systems, potentially altering prescribing patterns. This study examines its impact on the prescribing patterns of common therapeutic categories and high-risk medicines in General Practice in England. Materials and Methods: Common therapeutic categories were identified from English General Practice prescription data, and high-risk medicines were identified by mapping the UK pharmacovigilance data onto the English prescribing data. A retrospective analysis compared monthly prescription data pre-pandemic, during the pandemic, and post-pandemic. Significant changes in the prescribing volumes of therapeutic categories and high-risk medicines were tracked to determine persistence, intensification, or diminution post-pandemic. Linear regression models analysed prescribing trends. Results: Among 220 therapeutic categories, 16 experienced significant changes: 14 increased and 2 decreased during the pandemic. Of 78 high-risk medicines, 6 showed significant changes: 2 increased and 3 decreased. Only 3 therapeutic categories and 2 high-risk medicines returned to pre-pandemic levels. Conclusion: Despite a reduction in GP appointments during the pandemic, prescribing for several therapeutic categories and certain high-risk medicines surged, indicating increased treatment, prolonged illness or stockpiling. Post-pandemic downward trends suggest long-term under-treatment or reduced stockpiling. Continuous monitoring, strategic healthcare planning and regulatory interventions are needed to optimise prescribing. Future research is needed to assess the long-term effects on disease management. | en_GB |
dc.description.sponsorship | University of Exeter | en_GB |
dc.format.extent | 498-508 | |
dc.identifier.citation | Vol. 39 (1), pp. 498-508 | en_GB |
dc.identifier.doi | 10.21873/invivo.13854 | |
dc.identifier.uri | http://hdl.handle.net/10871/139158 | |
dc.language.iso | en | en_GB |
dc.publisher | International Institute of Anticancer Research | en_GB |
dc.relation.url | https://doi.org/10.6084/m9.figshare.26981086.v3 | |
dc.rights | © 2025 The Author(s). Published by the International Institute of Anticancer Research. Open access. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0) | en_GB |
dc.subject | COVID-19 | en_GB |
dc.subject | pandemic | en_GB |
dc.subject | data linkage | en_GB |
dc.subject | pharmacovigilance | en_GB |
dc.subject | high-risk medicines | en_GB |
dc.subject | prescription patterns | en_GB |
dc.subject | time-trend analysis | en_GB |
dc.subject | time-varying analysis | en_GB |
dc.subject | General Practice | en_GB |
dc.subject | primary care | en_GB |
dc.subject | healthcare planning | en_GB |
dc.title | A Time-Varying Analysis of General Practice Prescribing in the COVID-19 Era: Lessons from Prescription Dynamics in a Pandemic | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-11-29T14:35:40Z | |
dc.identifier.issn | 0258-851X | |
dc.description | This is the final version. Available on open access from the International Institute of Anticancer Research via the DOI in this record | en_GB |
dc.description | Data Availability: All data relevant to the study are included in the article or uploaded as supplementary information. Supplementary Material available at: https://doi.org/10.6084/m9.figshare.26981086.v3 | en_GB |
dc.identifier.eissn | 1791-7549 | |
dc.identifier.journal | In Vivo | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | en_GB |
dcterms.dateAccepted | 2024-09-30 | |
dcterms.dateSubmitted | 2024-09-20 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-09-30 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-11-29T00:36:14Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2025-02-10T13:48:31Z | |
refterms.panel | A | en_GB |
exeter.rights-retention-statement | Yes |
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Except where otherwise noted, this item's licence is described as © 2025 The Author(s). Published by the International Institute of Anticancer Research. Open access. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0)