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Study into COVID-19 crisis using primary care mental health consultations and prescriptions data

  • Agnieszka Lemanska*
  • , Uy Hoang
  • , Nathan Jeffreys
  • , Clare Bankhead
  • , Kam Bhui
  • , Filipa Ferreira
  • , Sally Harcourt
  • , Anthony James
  • , Harshana Liyanage
  • , Brian D. Nicholson
  • , Julian Sherlock
  • , Gillian Smith
  • , Nadia A.S. Smith
  • , Spencer A. Thomas
  • , John Williams
  • , Simon De Lusignan
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Citations (Scopus)

Abstract

The effect of the 2020 pandemic, and of the national measures introduced to control it, is not yet fully understood. The aim of this study was to investigate how different types of primary care data can help quantify the effect of the coronavirus disease (COVID-19) crisis on mental health. A retrospective cohort study investigated changes in weekly counts of mental health consultations and prescriptions. The data were extracted from one the UK's largest primary care databases between January 1st 2015 and October 31st 2020 (end of follow-up). The 2020 trends were compared to the 2015-19 average with 95% confidence intervals using longitudinal plots and analysis of covariance (ANCOVA). A total number of 504 practices (7,057,447 patients) contributed data. During the period of national restrictions, on average, there were 31% (3957 ± 269, p < 0.001) fewer events and 6% (4878 ± 1108, p < 0.001) more prescriptions per week as compared to the 2015- 19 average. The number of events was recovering, increasing by 75 (± 29, p = 0.012) per week. Prescriptions returned to the 2015-19 levels by the end of the study (p = 0.854). The significant reduction in the number of consultations represents part of the crisis. Future service planning and quality improvements are needed to reduce the negative effect on health and healthcare.

Original languageEnglish
Title of host publicationPublic Health and Informatics
Subtitle of host publicationProceedings of MIE 2021
PublisherIOS Press
Pages759-763
Number of pages5
ISBN (Electronic)9781643681856
ISBN (Print)9781643681849
DOIs
Publication statusPublished - 1 Jul 2021

Bibliographical note

Publisher Copyright:
© 2021 European Federation for Medical Informatics (EFMI) and IOS Press. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Lockdown
  • Mental health
  • Pandemic
  • Real-world evidence

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