Matches in SemOpenAlex for { <https://semopenalex.org/work/W3105202413> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3105202413 endingPage "91" @default.
- W3105202413 startingPage "89" @default.
- W3105202413 abstract "The COVID-19 pandemic has posed unprecedented challenges for health-care professionals, researchers, and policy makers, particularly in the area of serious mental illness. From the beginning of the pandemic, psychiatric symptoms have complicated medical care and contributed to morbidity and mortality.1Xiang YT Yang Y Li W et al.Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed.Lancet Psychiatry. 2020; 7: 228-229Summary Full Text Full Text PDF PubMed Scopus (2005) Google Scholar Conversely, individuals with serious mental illness are known to have a high prevalence of comorbid conditions associated with symptomatic COVID-19, including obesity, hypertension, smoking, and diabetes.2Dickerson F Origoni A Schroeder J et al.Natural cause mortality in persons with serious mental illness.Acta Psychiatr Scand. 2018; 137: 371-379Crossref PubMed Scopus (35) Google Scholar Many individuals with psychiatric disorders also live in social conditions that result in high exposure to respiratory viruses, including seasonal coronaviruses.3Severance EG Dickerson FB Viscidi RP et al.Coronavirus immunoreactivity in individuals with a recent onset of psychotic symptoms.Schizophr Bull. 2011; 37: 101-107Crossref PubMed Scopus (125) Google Scholar The sheer size and changing nature of the pandemic poses problems for investigators and policy planners investigating COVID-19 exposure and psychiatric disorders. This is particularly true in the USA, where the response to the pandemic has been hampered by the lack of a national medical care system and a patchwork of state and local public health agencies responsible for data collection and disease surveillance. The electronic medical record has become a part of many medical practices in the USA. Although this system has been approached with trepidation by many US health-care providers,4Melnick ER Dyrbye LN Sinsky CA et al.The association between perceived electronic health record usability and professional burnout among US physicians.Mayo Clin Proc. 2020; 95: 476-487Summary Full Text Full Text PDF PubMed Scopus (164) Google Scholar data generated by electronic medical records has proven a useful tool for the analysis of somatic and mental health outcomes.5Casey JA Schwartz BS Stewart WF Adler NE Using electronic health records for population health research: a review of methods and applications.Annu Rev Public Health. 2016; 37: 61-81Crossref PubMed Scopus (256) Google Scholar In The Lancet Psychiatry, Maxime Taquet and colleagues6Taquet M Luciano S Geddes JR Harrison PJ Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA.Lancet Psychiatry. 2020; (published online Nov 9.)https://doi.org/10.1016/S2215-0366(20)30462-4Summary Full Text Full Text PDF PubMed Scopus (721) Google Scholar report data collated from electronic medical records by the TriNetX Analytics Network from more than 69 million individuals who received care at 54 US health-care organisations between Jan 20, and Aug 1, 2020. This report provides evidence for what the authors characterise as a bidirectional association between COVID-19 and psychiatric disorders.6Taquet M Luciano S Geddes JR Harrison PJ Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA.Lancet Psychiatry. 2020; (published online Nov 9.)https://doi.org/10.1016/S2215-0366(20)30462-4Summary Full Text Full Text PDF PubMed Scopus (721) Google Scholar The first association relates to an increase in newly recognised psychiatric disorders in individuals with COVID-19, with relative risks in the range of 2–3 for anxiety disorders, insomnia, and dementia. The other association characterises an increase in COVID-19 in individuals with pre-existing psychiatric disorders, with an overall relative risk of 1·65.6Taquet M Luciano S Geddes JR Harrison PJ Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA.Lancet Psychiatry. 2020; (published online Nov 9.)https://doi.org/10.1016/S2215-0366(20)30462-4Summary Full Text Full Text PDF PubMed Scopus (721) Google Scholar The latter results are largely congruent with a previous study based on another electronic medical record database,7Wang Q Xu R Volkow ND Increased risk of COVID-19 infection and mortality in people with mental disorders: analysis from electronic health records in the United States.World Psychiatry. 2020; (wps.20806.)Crossref Scopus (343) Google Scholar although there are some differences in the reported relative risks associated with different psychiatric diagnoses and populations. Although potentially valuable for population-based studies, data derived from electronic medical records in the USA have limitations, most of which are noted in the report. Distinct from datasets based on national health-care systems, data derived from available electronic medical record-derived databases only capture events that occur in participating health-care organisations. Since the identity of participating health-care organisations and their relative contributions to the dataset are not disclosed, the generalisability of data derived from this population is difficult to assess. In this regard, although the 62 354 COVID-19 cases presented in this report is a large study population,6Taquet M Luciano S Geddes JR Harrison PJ Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA.Lancet Psychiatry. 2020; (published online Nov 9.)https://doi.org/10.1016/S2215-0366(20)30462-4Summary Full Text Full Text PDF PubMed Scopus (721) Google Scholar they represent only a fraction of the number of cases reported in the USA during the same time period.8Gold JAW Rossen LM Ahmad FB et al.Race, ethnicity, and age trends in persons who died from COVID-19—United States, May-August 2020.MMWR Morb Mortal Wkly Rep. 2020; 69: 1517-1521Crossref PubMed Scopus (0) Google Scholar In terms of psychiatric disorders, it is possible that the first entry of a diagnosis into the database might not represent the first occurrence of the condition, but rather the first time it is recognised by a health-care provider at a participating health-care organisation, making the timing of symptom onset relating to COVID-19 difficult to evaluate. Furthermore, data from electronic medical records are often lacking in information relevant to COVID-19. These data include detailed information relating to housing density, family size, current employment and immigration status, specific geographic location, and contact with others with COVID-19. Therefore, it is imperative that data derived from electronic medical records be supported by cohort studies that prospectively collect relevant information and biological samples The changing nature of the COVID-19 pandemic presents a moving target for clinicians, investigators, readers of medical literature, and the general public. Infection rates in different areas are frequently changing. Additionally, new cases, clinical data, and analytic functionalities are being added to available databases. Conclusions based on any one dataset thus require frequent re-examination and re-interpretation. The recent retraction of articles on COVID-19 based on another database9Piller C Travis J Authors, elite journals under fire after major retractions.Science. 2020; 368: 1167-1168Crossref PubMed Scopus (18) Google Scholar highlights the necessity of data sharing and transparency. More than 100 years have passed since the worldwide influenza pandemic that resulted in a markedly increased rate of neurological and psychiatric sequelae.10Kępińska AP Iyegbe CO Vernon AC Yolken R Murray RM Pollak TA Schizophrenia and influenza at the centenary of the 1918–19 Spanish influenza pandemic: mechanisms of psychosis risk.Front Psychiatry. 2020; 11: 72Crossref PubMed Scopus (110) Google Scholar Despite great advances in medical science, we are faced with some of the same issues relating to the characterisation of a rapidly changing pandemic occurring in different geopolitical environments. Learning to use new tools, such as electronic medical records efficiently should provide some of the essential information needed to understand and control the psychiatric consequences of this pandemic and plan for future ones. In these efforts, we should keep in mind the words of Sir William Osler that, “the best preparation for tomorrow is to do today's work superbly well.” I declare no competing interests. I thank Faith Dickerson, E Fuller Torrey, and Maree Webster for their careful reading of this Comment. Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USASurvivors of COVID-19 appear to be at increased risk of psychiatric sequelae, and a psychiatric diagnosis might be an independent risk factor for COVID-19. Although preliminary, our findings have implications for clinical services, and prospective cohort studies are warranted. Full-Text PDF Open Access" @default.
- W3105202413 created "2020-11-23" @default.
- W3105202413 creator A5090672084 @default.
- W3105202413 date "2021-02-01" @default.
- W3105202413 modified "2023-10-17" @default.
- W3105202413 title "COVID-19 and psychiatry: can electronic medical records provide the answers?" @default.
- W3105202413 cites W2133669054 @default.
- W3105202413 cites W2140302476 @default.
- W3105202413 cites W2795084770 @default.
- W3105202413 cites W2985309991 @default.
- W3105202413 cites W3004804052 @default.
- W3105202413 cites W3007414154 @default.
- W3105202413 cites W3034755076 @default.
- W3105202413 cites W3094631967 @default.
- W3105202413 doi "https://doi.org/10.1016/s2215-0366(20)30479-x" @default.
- W3105202413 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7832698" @default.
- W3105202413 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33181097" @default.
- W3105202413 hasPublicationYear "2021" @default.
- W3105202413 type Work @default.
- W3105202413 sameAs 3105202413 @default.
- W3105202413 citedByCount "12" @default.
- W3105202413 countsByYear W31052024132021 @default.
- W3105202413 countsByYear W31052024132022 @default.
- W3105202413 countsByYear W31052024132023 @default.
- W3105202413 crossrefType "journal-article" @default.
- W3105202413 hasAuthorship W3105202413A5090672084 @default.
- W3105202413 hasBestOaLocation W31052024131 @default.
- W3105202413 hasConcept C116675565 @default.
- W3105202413 hasConcept C118552586 @default.
- W3105202413 hasConcept C142724271 @default.
- W3105202413 hasConcept C15744967 @default.
- W3105202413 hasConcept C159047783 @default.
- W3105202413 hasConcept C2522767166 @default.
- W3105202413 hasConcept C2778137277 @default.
- W3105202413 hasConcept C2779134260 @default.
- W3105202413 hasConcept C2779473830 @default.
- W3105202413 hasConcept C2909376813 @default.
- W3105202413 hasConcept C3006700255 @default.
- W3105202413 hasConcept C3007834351 @default.
- W3105202413 hasConcept C3008058167 @default.
- W3105202413 hasConcept C41008148 @default.
- W3105202413 hasConcept C524204448 @default.
- W3105202413 hasConcept C55493867 @default.
- W3105202413 hasConcept C71924100 @default.
- W3105202413 hasConcept C86803240 @default.
- W3105202413 hasConceptScore W3105202413C116675565 @default.
- W3105202413 hasConceptScore W3105202413C118552586 @default.
- W3105202413 hasConceptScore W3105202413C142724271 @default.
- W3105202413 hasConceptScore W3105202413C15744967 @default.
- W3105202413 hasConceptScore W3105202413C159047783 @default.
- W3105202413 hasConceptScore W3105202413C2522767166 @default.
- W3105202413 hasConceptScore W3105202413C2778137277 @default.
- W3105202413 hasConceptScore W3105202413C2779134260 @default.
- W3105202413 hasConceptScore W3105202413C2779473830 @default.
- W3105202413 hasConceptScore W3105202413C2909376813 @default.
- W3105202413 hasConceptScore W3105202413C3006700255 @default.
- W3105202413 hasConceptScore W3105202413C3007834351 @default.
- W3105202413 hasConceptScore W3105202413C3008058167 @default.
- W3105202413 hasConceptScore W3105202413C41008148 @default.
- W3105202413 hasConceptScore W3105202413C524204448 @default.
- W3105202413 hasConceptScore W3105202413C55493867 @default.
- W3105202413 hasConceptScore W3105202413C71924100 @default.
- W3105202413 hasConceptScore W3105202413C86803240 @default.
- W3105202413 hasFunder F4320309530 @default.
- W3105202413 hasIssue "2" @default.
- W3105202413 hasLocation W31052024131 @default.
- W3105202413 hasLocation W31052024132 @default.
- W3105202413 hasOpenAccess W3105202413 @default.
- W3105202413 hasPrimaryLocation W31052024131 @default.
- W3105202413 hasRelatedWork W3005417802 @default.
- W3105202413 hasRelatedWork W3007868867 @default.
- W3105202413 hasRelatedWork W3009669391 @default.
- W3105202413 hasRelatedWork W3020699490 @default.
- W3105202413 hasRelatedWork W3031607536 @default.
- W3105202413 hasRelatedWork W3043486364 @default.
- W3105202413 hasRelatedWork W3084498529 @default.
- W3105202413 hasRelatedWork W4206419631 @default.
- W3105202413 hasRelatedWork W4280491013 @default.
- W3105202413 hasRelatedWork W3127156785 @default.
- W3105202413 hasVolume "8" @default.
- W3105202413 isParatext "false" @default.
- W3105202413 isRetracted "false" @default.
- W3105202413 magId "3105202413" @default.
- W3105202413 workType "article" @default.