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Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data.
Lemanska, Agnieszka; Hoang, Uy; Jeffreys, Nathan; Bankhead, Clare; Bhui, Kam; Ferreira, Filipa; Harcourt, Sally; James, Anthony; Liyanage, Harshana; Nicholson, Brian D; Sherlock, Julian; Smith, Gillian; Smith, Nadia A S; Thomas, Spencer A; Williams, John; De Lusignan, Simon.
  • Lemanska A; Data Science Department, National Physical Laboratory, Teddington, UK.
  • Hoang U; School of Health Sciences, University of Surrey, Guildford, UK.
  • Jeffreys N; Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
  • Bankhead C; Royal Surrey NHS Foundation Trust, Guildford, UK.
  • Bhui K; Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
  • Ferreira F; Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
  • Harcourt S; Department of Psychiatry, University of Oxford, UK.
  • James A; Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
  • Liyanage H; National Infection Service, Public Health England, Birmingham, UK.
  • Nicholson BD; Department of Psychiatry, University of Oxford, UK.
  • Sherlock J; Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
  • Smith G; Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
  • Smith NAS; Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
  • Thomas SA; National Infection Service, Public Health England, Birmingham, UK.
  • Williams J; Data Science Department, National Physical Laboratory, Teddington, UK.
  • De Lusignan S; Data Science Department, National Physical Laboratory, Teddington, UK.
Stud Health Technol Inform ; 281: 759-763, 2021 May 27.
Article in English | MEDLINE | ID: covidwho-1247806
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mental Health / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: SHTI210277

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mental Health / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: SHTI210277