{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T17:51:54Z","timestamp":1791222714537,"version":"4.1.0"},"reference-count":36,"publisher":"American Medical Association (AMA)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"\n Importance<\/jats:title>\n The COVID-19 pandemic has been associated with an increase in mental health diagnoses among adolescents, though the extent of the increase, particularly for severe cases requiring hospitalization, has not been well characterized. Large-scale federated informatics approaches provide the ability to efficiently and securely query health care data sets to assess and monitor hospitalization patterns for mental health conditions among adolescents.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n To estimate changes in the proportion of hospitalizations associated with mental health conditions among adolescents following onset of the COVID-19 pandemic.<\/jats:p>\n <\/jats:sec>\n \n Design, Setting, and Participants<\/jats:title>\n This retrospective, multisite cohort study of adolescents 11 to 17 years of age who were hospitalized with at least 1 mental health condition diagnosis between February 1, 2019, and April 30, 2021, used patient-level data from electronic health records of 8 children\u2019s hospitals in the US and France.<\/jats:p>\n <\/jats:sec>\n \n Main Outcomes and Measures<\/jats:title>\n Change in the monthly proportion of mental health condition\u2013associated hospitalizations between the prepandemic (February 1, 2019, to March 31, 2020) and pandemic (April 1, 2020, to April 30, 2021) periods using interrupted time series analysis.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n There were 9696 adolescents hospitalized with a mental health condition during the prepandemic period (5966 [61.5%] female) and 11\u202f101 during the pandemic period (7603 [68.5%] female). The mean (SD) age in the prepandemic cohort was 14.6 (1.9) years and in the pandemic cohort, 14.7 (1.8) years. The most prevalent diagnoses during the pandemic were anxiety (6066 [57.4%]), depression (5065 [48.0%]), and suicidality or self-injury (4673 [44.2%]). There was an increase in the proportions of monthly hospitalizations during the pandemic for anxiety (0.55%; 95% CI, 0.26%-0.84%), depression (0.50%; 95% CI, 0.19%-0.79%), and suicidality or self-injury (0.38%; 95% CI, 0.08%-0.68%). There was an estimated 0.60% increase (95% CI, 0.31%-0.89%) overall in the monthly proportion of mental health\u2013associated hospitalizations following onset of the pandemic compared with the prepandemic period.<\/jats:p>\n <\/jats:sec>\n \n Conclusions and Relevance<\/jats:title>\n In this cohort study, onset of the COVID-19 pandemic was associated with increased hospitalizations with mental health diagnoses among adolescents. These findings support the need for greater resources within children\u2019s hospitals to care for adolescents with mental health conditions during the pandemic and beyond.<\/jats:p>\n <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2022.46548","type":"journal-article","created":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T11:03:49Z","timestamp":1670929429000},"page":"e2246548","source":"Crossref","is-referenced-by-count":35,"title":["Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic"],"prefix":"10.1001","volume":"5","author":[{"given":"Alba","family":"Guti\u00e9rrez-Sacrist\u00e1n","sequence":"first","affiliation":[{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arnaud","family":"Serret-Larmande","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts"},{"name":"Department of Biostatistics and Biomedical Informatics, H\u00f4pital Saint-Louis, Assistance Publique-H\u00f4pitaux de Paris, Universit\u00e9 Paris-Cit\u00e9, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meghan R.","family":"Hutch","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, Northwestern University, Chicago, Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"S\u00e1ez","sequence":"additional","affiliation":[{"name":"Biomedical Data Science Lab, Instituto Universitario de Tecnolog\u00edas de la Informaci\u00f3n y Comunicaciones, Universitat Polit\u00e8cnica de Val\u00e8ncia, Val\u00e8ncia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce J.","family":"Aronow","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Cincinnati Children\u2019s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio"},{"name":"Department of Pediatrics, Cincinnati Children\u2019s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Surbhi","family":"Bhatnagar","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Cincinnati Children\u2019s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio"},{"name":"Department of Pediatrics, Cincinnati Children\u2019s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clara-Lea","family":"Bonzel","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianxi","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Batsal","family":"Devkota","sequence":"additional","affiliation":[{"name":"Department of Biomedical and Health Informatics, The Children\u2019s Hospital of Philadelphia, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David A.","family":"Hanauer","sequence":"additional","affiliation":[{"name":"Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ne Hooi Will","family":"Loh","sequence":"additional","affiliation":[{"name":"Department of Anaesthesia, National University Health System, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, Northwestern University, Chicago, Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bertrand","family":"Moal","sequence":"additional","affiliation":[{"name":"Unit\u00e9 Informatique et Archivistique M\u00e9dicale, Bordeaux University Hospital, Bordeaux, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taha Mohseni","family":"Ahooyi","sequence":"additional","affiliation":[{"name":"Department of Biomedical and Health Informatics, The Children\u2019s Hospital of Philadelphia, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanjik\u0169 F. 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