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

doi:10.3233/SHTI210277

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 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 language	English
Title of host publication	Volume 281: Public Health and Informatics
Subtitle of host publication	Proceedings of MIE 2021
Publisher	IOS Press
Pages	759-763
Number of pages	5
Volume	281
ISBN (Electronic)	9781643681856
ISBN (Print)	9781643681849
DOIs	https://doi.org/10.3233/SHTI210277
Publication status	Published - 27 May 2021

Publication series

Name	Studies in health technology and informatics
ISSN (Print)	0926-9630

Bibliographical note

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

Keywords

COVID-19
lockdown
Mental health
pandemic
real-world evidence

UN SDGs

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

Access to Document

10.3233/SHTI210277Licence: CC BY-NC

Cite this

Lemanska, A., Hoang, U., Jeffreys, N., Bankhead, C., Bhui, K., Ferreira, F., Harcourt, S., James, A., Liyanage, H., Nicholson, B. D., Sherlock, J., Smith, G., Smith, N. A. S., Thomas, S. A., Williams, J., & De Lusignan, S. (2021). Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data. In Volume 281: Public Health and Informatics: Proceedings of MIE 2021 (Vol. 281, pp. 759-763). (Studies in health technology and informatics). IOS Press. https://doi.org/10.3233/SHTI210277

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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.",

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author = "Agnieszka Lemanska and Uy Hoang and Nathan Jeffreys and Clare Bankhead and Kam Bhui and Filipa Ferreira and Sally Harcourt and Anthony James and Harshana Liyanage and Nicholson, {Brian D.} and Julian Sherlock and Gillian Smith and Smith, {Nadia A.S.} and Thomas, {Spencer A.} and John Williams and {De Lusignan}, Simon",

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Lemanska, A, Hoang, U, Jeffreys, N, Bankhead, C, Bhui, K, Ferreira, F, Harcourt, S, James, A, Liyanage, H, Nicholson, BD, Sherlock, J, Smith, G, Smith, NAS, Thomas, SA, Williams, J & De Lusignan, S 2021, Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data. in Volume 281: Public Health and Informatics: Proceedings of MIE 2021. vol. 281, Studies in health technology and informatics, IOS Press, pp. 759-763. https://doi.org/10.3233/SHTI210277

Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data. / Lemanska, Agnieszka; Hoang, Uy; Jeffreys, Nathan et al.
Volume 281: Public Health and Informatics: Proceedings of MIE 2021. Vol. 281 IOS Press, 2021. p. 759-763 (Studies in health technology and informatics).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Lemanska, Agnieszka

AU - Hoang, Uy

AU - Jeffreys, Nathan

AU - Bankhead, Clare

AU - Bhui, Kam

AU - Ferreira, Filipa

AU - Harcourt, Sally

AU - James, Anthony

AU - Liyanage, Harshana

AU - Nicholson, Brian D.

AU - Sherlock, Julian

AU - Smith, Gillian

AU - Smith, Nadia A.S.

AU - Thomas, Spencer A.

AU - Williams, John

AU - De Lusignan, Simon

PY - 2021/5/27

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N2 - 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.

AB - 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.

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KW - lockdown

KW - Mental health

KW - pandemic

KW - real-world evidence

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DO - 10.3233/SHTI210277

M3 - Chapter

C2 - 34042680

AN - SCOPUS:85107238070

SN - 9781643681849

VL - 281

T3 - Studies in health technology and informatics

SP - 759

EP - 763

BT - Volume 281: Public Health and Informatics

PB - IOS Press

ER -

Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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