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Song J, Ramírez MC, Okano JT, Service SK, de la Hoz J, Díaz-Zuluaga AM, Upegui CV, Gallago C, Arias A, Sánchez AV, Teshiba T, Sabatti C, Gur RC, Bearden CE, Escobar JI, Reus VI, Jaramillo CL, Freimer NB, Olde Loohuis LM, Blower S. Geospatial investigations in Colombia reveal variations in the distribution of mood and psychotic disorders. COMMUNICATIONS MEDICINE 2024; 4:26. [PMID: 38383761 PMCID: PMC10881503 DOI: 10.1038/s43856-024-00441-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Geographical variations in mood and psychotic disorders have been found in upper-income countries. We looked for geographic variation in these disorders in Colombia, a middle-income country. We analyzed electronic health records from the Clínica San Juan de Dios Manizales (CSJDM), which provides comprehensive mental healthcare for the one million inhabitants of Caldas. METHODS We constructed a friction surface map of Caldas and used it to calculate the travel-time to the CSJDM for 16,295 patients who had received an initial diagnosis of mood or psychotic disorder. Using a zero-inflated negative binomial regression model, we determined the relationship between travel-time and incidence, stratified by disease severity. We employed spatial scan statistics to look for patient clusters. RESULTS We show that travel-times (for driving) to the CSJDM are less than 1 h for ~50% of the population and more than 4 h for ~10%. We find a distance-decay relationship for outpatients, but not for inpatients: for every hour increase in travel-time, the number of expected outpatient cases decreases by 20% (RR = 0.80, 95% confidence interval [0.71, 0.89], p = 5.67E-05). We find nine clusters/hotspots of inpatients. CONCLUSIONS Our results reveal inequities in access to healthcare: many individuals requiring only outpatient treatment may live too far from the CSJDM to access healthcare. Targeting of resources to comprehensively identify severely ill individuals living in the observed hotspots could further address treatment inequities and enable investigations to determine factors generating these hotspots.
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Affiliation(s)
- Janet Song
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Justin T Okano
- Center for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Susan K Service
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Juan de la Hoz
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Ana M Díaz-Zuluaga
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Cristian Gallago
- Department of Mental Health and Human Behavior, University of Caldas, Manizales, Colombia
| | - Alejandro Arias
- Department of Psychiatry, University of Antioquía, Medellín, Colombia
| | | | - Terri Teshiba
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania School of Medicine and the Penn-CHOP Lifespan Brain Institute, Philadelphia, PA, USA
| | - Carrie E Bearden
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Javier I Escobar
- Department of Psychiatry, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Victor I Reus
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | | | - Nelson B Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
| | - Sally Blower
- Center for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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Morese R, Gruebner O, Sykora M, Elayan S, Fadda M, Albanese E. Detecting Suicide Ideation in the Era of Social Media: The Population Neuroscience Perspective. Front Psychiatry 2022; 13:652167. [PMID: 35492693 PMCID: PMC9046648 DOI: 10.3389/fpsyt.2022.652167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Social media platforms are increasingly used across many population groups not only to communicate and consume information, but also to express symptoms of psychological distress and suicidal thoughts. The detection of suicidal ideation (SI) can contribute to suicide prevention. Twitter data suggesting SI have been associated with negative emotions (e.g., shame, sadness) and a number of geographical and ecological variables (e.g., geographic location, environmental stress). Other important research contributions on SI come from studies in neuroscience. To date, very few research studies have been conducted that combine different disciplines (epidemiology, health geography, neurosciences, psychology, and social media big data science), to build innovative research directions on this topic. This article aims to offer a new interdisciplinary perspective, that is, a Population Neuroscience perspective on SI in order to highlight new ways in which multiple scientific fields interact to successfully investigate emotions and stress in social media to detect SI in the population. We argue that a Population Neuroscience perspective may help to better understand the mechanisms underpinning SI and to promote more effective strategies to prevent suicide timely and at scale.
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Affiliation(s)
- Rosalba Morese
- Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland.,Faculty of Communication, Culture and Society, Università della Svizzera italiana, Lugano, Switzerland
| | - Oliver Gruebner
- Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland.,Department of Geography, University of Zurich, Zürich, Switzerland
| | - Martin Sykora
- Centre for Information Management (CIM), School of Business and Economics, Loughborough University, Loughborough, United Kingdom
| | - Suzanne Elayan
- Centre for Information Management (CIM), School of Business and Economics, Loughborough University, Loughborough, United Kingdom
| | - Marta Fadda
- Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
| | - Emiliano Albanese
- Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
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Shen FX, Wolf SM, Bhavnani S, Deoni S, Elison JT, Fair D, Garwood M, Gee MS, Geethanath S, Kay K, Lim KO, Lockwood Estrin G, Luciana M, Peloquin D, Rommelfanger K, Schiess N, Siddiqui K, Torres E, Vaughan JT. Emerging ethical issues raised by highly portable MRI research in remote and resource-limited international settings. Neuroimage 2021; 238:118210. [PMID: 34062266 PMCID: PMC8382487 DOI: 10.1016/j.neuroimage.2021.118210] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 05/03/2021] [Accepted: 05/07/2021] [Indexed: 11/18/2022] Open
Abstract
Smaller, more affordable, and more portable MRI brain scanners offer exciting opportunities to address unmet research needs and long-standing health inequities in remote and resource-limited international settings. Field-based neuroimaging research in low- and middle-income countries (LMICs) can improve local capacity to conduct both structural and functional neuroscience studies, expand knowledge of brain injury and neuropsychiatric and neurodevelopmental disorders, and ultimately improve the timeliness and quality of clinical diagnosis and treatment around the globe. Facilitating MRI research in remote settings can also diversify reference databases in neuroscience, improve understanding of brain development and degeneration across the lifespan in diverse populations, and help to create reliable measurements of infant and child development. These deeper understandings can lead to new strategies for collaborating with communities to mitigate and hopefully overcome challenges that negatively impact brain development and quality of life. Despite the potential importance of research using highly portable MRI in remote and resource-limited settings, there is little analysis of the attendant ethical, legal, and social issues (ELSI). To begin addressing this gap, this paper presents findings from the first phase of an envisioned multi-staged and iterative approach for creating ethical and legal guidance in a complex global landscape. Section 1 provides a brief introduction to the emerging technology for field-based MRI research. Section 2 presents our methodology for generating plausible use cases for MRI research in remote and resource-limited settings and identifying associated ELSI issues. Section 3 analyzes core ELSI issues in designing and conducting field-based MRI research in remote, resource-limited settings and offers recommendations. We argue that a guiding principle for field-based MRI research in these contexts should be including local communities and research participants throughout the research process in order to create sustained local value. Section 4 presents a recommended path for the next phase of work that could further adapt these use cases, address ethical and legal issues, and co-develop guidance in partnership with local communities.
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Affiliation(s)
- Francis X Shen
- Professor of Law and Faculty Member, Graduate Program in Neuroscience, University of Minnesota; Instructor in Psychology, Harvard Medical School; Executive Director, MGH Center for Law, Brain & Behavior USA.
| | - Susan M Wolf
- McKnight Presidential Professor of Law, Medicine & Public Policy; Faegre Baker Daniels Professor of Law; Professor of Medicine; Chair, Consortium on Law and Values in Health, Environment & the Life Sciences, University of Minnesota USA
| | - Supriya Bhavnani
- Co-Principal Investigator, Child Development Group, Sangath, New Delhi, India
| | - Sean Deoni
- Associate Professor of Pediatrics (Research), Associate Professor of Diagnostic Imaging (Research), Brown University; Senior Program Officer, Maternal, Newborn & Child Health Discovery & Tools, Discovery & Translational Sciences, Bill & Melinda Gates Foundation USA
| | - Jed T Elison
- Associate Professor, Institute of Child Development, Department of Pediatrics, University of Minnesota USA
| | - Damien Fair
- Redleaf Endowed Director, Masonic Institute for the Developing Brain; Professor, Institute of Child Development, College of Education and Human Development; Professor, Department of Pediatrics, Medical School, University of Minnesota USA
| | - Michael Garwood
- Malcolm B. Hanson Professor of Radiology, Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota USA
| | - Michael S Gee
- Vice-Chair of Clinical Operations, Chief of Pediatric Radiology, Pediatric Imaging Research Center Director, Massachusetts General Hospital; Co-Director, Mass General Imaging Global Health Educational Programs USA
| | - Sairam Geethanath
- Associate Research Scientist, Columbia Magnetic Resonance Research Center, Columbia University USA
| | - Kendrick Kay
- Assistant Professor, Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota USA
| | - Kelvin O Lim
- Professor, Vice-Chair of Research, Drs. T. J. and Ella M. Arneson Land-Grant Chair in Human Behavior, Department of Psychiatry and Behavioral Sciences, University of Minnesota USA
| | - Georgia Lockwood Estrin
- Sir Henry Wellcome Postdoctoral Research Fellow, Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck College, University of London UK
| | - Monica Luciana
- Professor, Department of Psychology; Adjunct Faculty Member, Institute of Child Development; Core Faculty Member, Center for Neurobehavioral Development, University of Minnesota USA
| | | | - Karen Rommelfanger
- Director, Neuroethics Program, Center for Ethics; Associate Professor, Departments of Neurology and Psychiatry and Behavioral Sciences, School of Medicine, Emory University USA
| | - Nicoline Schiess
- Technical Officer, Brain Health Unit, World Health Organization Switzerland
| | - Khan Siddiqui
- Chief Medical Officer and Chief Strategy Officer, Hyperfine USA
| | - Efraín Torres
- PhD Candidate in the Department of Biomedical Engineering, NSF GRFP Fellow, University of Minnesota; Garwood Lab member USA
| | - J Thomas Vaughan
- Professor in the Departments of Biomedical Engineering and Radiology, Director of the Columbia Magnetic Resonance Research Center; Principal and Investigator and MR Platform Director of the Zuckerman Institute, Columbia University; Director of the High Field Imaging Lab, Nathan Kline Institute USA
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