Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study
Abstract Aims 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. Methods By using electronic hea...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2024-01-01
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| Series: | Epidemiology and Psychiatric Sciences |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2045796024000088/type/journal_article |
| _version_ | 1827330778075234304 |
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| author | Yi Chai Kenneth K. C. Man Hao Luo Carmen Olga Torre Yun Kwok Wing Joseph F. Hayes David P. J. Osborn Wing Chung Chang Xiaoyu Lin Can Yin Esther W. Chan Ivan C. H. Lam Stephen Fortin David M. Kern Dong Yun Lee Rae Woong Park Jae-Won Jang Jing Li Sarah Seager Wallis C. Y. Lau Ian C. K. Wong |
| author_facet | Yi Chai Kenneth K. C. Man Hao Luo Carmen Olga Torre Yun Kwok Wing Joseph F. Hayes David P. J. Osborn Wing Chung Chang Xiaoyu Lin Can Yin Esther W. Chan Ivan C. H. Lam Stephen Fortin David M. Kern Dong Yun Lee Rae Woong Park Jae-Won Jang Jing Li Sarah Seager Wallis C. Y. Lau Ian C. K. Wong |
| author_sort | Yi Chai |
| collection | DOAJ |
| description | Abstract
Aims
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.
Methods
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.
Results
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.
Conclusions
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.
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| first_indexed | 2024-03-07T16:22:18Z |
| format | Article |
| id | doaj.art-06d9737b96e4437897447ac610afa4aa |
| institution | Directory Open Access Journal |
| issn | 2045-7960 2045-7979 |
| language | English |
| last_indexed | 2024-03-07T16:22:18Z |
| publishDate | 2024-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Epidemiology and Psychiatric Sciences |
| spelling | doaj.art-06d9737b96e4437897447ac610afa4aa2024-03-04T04:20:33ZengCambridge University PressEpidemiology and Psychiatric Sciences2045-79602045-79792024-01-013310.1017/S2045796024000088Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network studyYi Chai0https://orcid.org/0000-0002-9191-2341Kenneth K. C. Man1Hao Luo2Carmen Olga Torre3Yun Kwok Wing4Joseph F. Hayes5David P. J. Osborn6Wing Chung Chang7https://orcid.org/0000-0002-3581-8895Xiaoyu Lin8Can Yin9Esther W. Chan10Ivan C. H. Lam11Stephen Fortin12David M. Kern13https://orcid.org/0000-0001-5417-3925Dong Yun Lee14Rae Woong Park15Jae-Won Jang16Jing Li17Sarah Seager18Wallis C. Y. Lau19Ian C. K. Wong20Centre 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 KongCentre 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 KongThe 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 KongCentre 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 NetherlandsLi Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong KongDivision of Psychiatry, University College London, London, UK Camden and Islington NHS Foundation Trust, London, UKDivision of Psychiatry, University College London, London, UK Camden and Islington NHS Foundation Trust, London, UKDepartment 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 KongReal-World Solutions, IQVIA, Durham, NC, USAReal-World Solutions, IQVIA, Durham, NC, USACentre 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, ChinaCentre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong KongObservation Health Data Analytics, Janssen Research & Development, Titusville, NJ, USADepartment of Epidemiology, Janssen Research & Development, Titusville, NJ, USADepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, South KoreaDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, South KoreaDepartment of Neurology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, South KoreaReal-World Solutions, IQVIA, Durham, NC, USAReal-World Solutions, IQVIA, Durham, NC, USACentre 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 KongCentre 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, UKAbstract Aims 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. Methods 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. Results 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. Conclusions 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. https://www.cambridge.org/core/product/identifier/S2045796024000088/type/journal_articleCOVID-19mental healthOHDSIOMOPpsychiatric disorderSARS-CoV-2 |
| spellingShingle | Yi Chai Kenneth K. C. Man Hao Luo Carmen Olga Torre Yun Kwok Wing Joseph F. Hayes David P. J. Osborn Wing Chung Chang Xiaoyu Lin Can Yin Esther W. Chan Ivan C. H. Lam Stephen Fortin David M. Kern Dong Yun Lee Rae Woong Park Jae-Won Jang Jing Li Sarah Seager Wallis C. Y. Lau Ian C. K. Wong Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study Epidemiology and Psychiatric Sciences COVID-19 mental health OHDSI OMOP psychiatric disorder SARS-CoV-2 |
| title | Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study |
| title_full | Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study |
| title_fullStr | Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study |
| title_full_unstemmed | Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study |
| title_short | Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study |
| title_sort | incidence of mental health diagnoses during the covid 19 pandemic a multinational network study |
| topic | COVID-19 mental health OHDSI OMOP psychiatric disorder SARS-CoV-2 |
| url | https://www.cambridge.org/core/product/identifier/S2045796024000088/type/journal_article |
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