Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study.

COVID-19 OHDSI OMOP SARS-CoV-2 mental health psychiatric disorder

Journal

Epidemiology and psychiatric sciences
ISSN: 2045-7979
Titre abrégé: Epidemiol Psychiatr Sci
Pays: England
ID NLM: 101561091

Informations de publication

Date de publication:
04 Mar 2024
Historique:
medline: 4 3 2024
pubmed: 4 3 2024
entrez: 3 3 2024
Statut: epublish

Résumé

Population-wide restrictions during the COVID-19 pandemic may create barriers to mental health diagnosis. This study aims to examine changes in the number of incident cases and the incidence rates of mental health diagnoses during the COVID-19 pandemic. By using electronic health records from France, Germany, Italy, South Korea and the UK and claims data from the US, this study conducted interrupted time-series analyses to compare the monthly incident cases and the incidence of depressive disorders, anxiety disorders, alcohol misuse or dependence, substance misuse or dependence, bipolar disorders, personality disorders and psychoses diagnoses before (January 2017 to February 2020) and after (April 2020 to the latest available date of each database [up to November 2021]) the introduction of COVID-related restrictions. A total of 629,712,954 individuals were enrolled across nine databases. Following the introduction of restrictions, an immediate decline was observed in the number of incident cases of all mental health diagnoses in the US (rate ratios (RRs) ranged from 0.005 to 0.677) and in the incidence of all conditions in France, Germany, Italy and the US (RRs ranged from 0.002 to 0.422). In the UK, significant reductions were only observed in common mental illnesses. The number of incident cases and the incidence began to return to or exceed pre-pandemic levels in most countries from mid-2020 through 2021. Healthcare providers should be prepared to deliver service adaptations to mitigate burdens directly or indirectly caused by delays in the diagnosis and treatment of mental health conditions.

Identifiants

pubmed: 38433286
doi: 10.1017/S2045796024000088
pii: S2045796024000088
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e9

Auteurs

Yi Chai (Y)

Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong.

Kenneth K C Man (KKC)

Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.
Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong.

Hao Luo (H)

The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong.
Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong.
Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong.

Carmen Olga Torre (CO)

Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Real World Data Sciences, Roche, Welwyn Garden City, UK.
School of Science and Engineering, University of Groningen, Groningen, The Netherlands.

Yun Kwok Wing (YK)

Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong.

Joseph F Hayes (JF)

Division of Psychiatry, University College London, London, UK.
Camden and Islington NHS Foundation Trust, London, UK.

David P J Osborn (DPJ)

Division of Psychiatry, University College London, London, UK.
Camden and Islington NHS Foundation Trust, London, UK.

Wing Chung Chang (WC)

Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.

Xiaoyu Lin (X)

Real-World Solutions, IQVIA, Durham, NC, USA.

Can Yin (C)

Real-World Solutions, IQVIA, Durham, NC, USA.

Esther W Chan (EW)

Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong.
The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, Guangdong, China.

Ivan C H Lam (ICH)

Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.

Stephen Fortin (S)

Observation Health Data Analytics, Janssen Research & Development, Titusville, NJ, USA.

David M Kern (DM)

Department of Epidemiology, Janssen Research & Development, Titusville, NJ, USA.

Dong Yun Lee (DY)

Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.

Rae Woong Park (RW)

Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.

Jae-Won Jang (JW)

Department of Neurology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, South Korea.

Jing Li (J)

Real-World Solutions, IQVIA, Durham, NC, USA.

Sarah Seager (S)

Real-World Solutions, IQVIA, Durham, NC, USA.

Wallis C Y Lau (WCY)

Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.
Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong.

Ian C K Wong (ICK)

Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.

Classifications MeSH