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Chart-Pascual JP, Montero-Torres M, Ortega MA, Mar-Barrutia L, Zorrilla Martinez I, Alvarez-Mon M, Gonzalez-Pinto A, Alvarez-Mon MA. Areas of interest and sentiment analysis towards second generation antipsychotics, lithium and mood stabilizing anticonvulsants: Unsupervised analysis using Twitter. J Affect Disord 2024; 351:649-660. [PMID: 38290587 DOI: 10.1016/j.jad.2024.01.234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND Severe mental disorders like Schizophrenia and related psychotic disorders (SRD) or Bipolar Disorder (BD) require pharmacological treatment for relapse prevention and quality of life improvement. Yet, treatment adherence is a challenge, partly due to patients' attitudes and beliefs towards their medication. Social media listening offers insights into patient experiences and preferences, particularly in severe mental disorders. METHODS All tweets posted between 2008 and 2022 mentioning the names of the main drugs used in SRD and BD were analyzed using advanced artificial intelligence techniques such as machine learning, and deep learning, along with natural language processing. RESULTS In this 15-year study analyzing 893,289 tweets, second generation antipsychotics received more mentions in English tweets, whereas mood stabilizers received more tweets in Spanish. English tweets about economic and legal aspects displayed negative emotions, while Spanish tweets seeking advice showed surprise. Moreover, a recurring theme in Spanish tweets was the shortage of medications, evoking feelings of anger among users. LIMITATIONS This study's analysis of Twitter data, while insightful, may not fully capture the nuances of discussions due to the platform's brevity. Additionally, the wide therapeutic use of the studied drugs, complicates the isolation of disorder-specific discourse. Only English and Spanish tweets were examined, limiting the cultural breadth of the findings. CONCLUSION This study emphasizes the importance of social media research in understanding user perceptions of SRD and BD treatments. The results provide valuable insights for clinicians when considering how patients and the general public view and communicate about these treatments in the digital environment.
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Affiliation(s)
- Juan Pablo Chart-Pascual
- Psychiatry Department, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain; Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain; CIBERSAM.
| | - Maria Montero-Torres
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain; Department of Medicine and Medical Specialities, University of Alcala, 28801 Alcala de Henares, Madrid, Spain
| | - Miguel Angel Ortega
- Cancer Registry and Pathology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain; Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain; Department of Medicine and Medical Specialities, University of Alcala, 28801 Alcala de Henares, Madrid, Spain
| | - Lorea Mar-Barrutia
- Psychiatry Department, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain; Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain; CIBERSAM
| | - Iñaki Zorrilla Martinez
- Psychiatry Department, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain; Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain; CIBERSAM
| | - Melchor Alvarez-Mon
- Immune System Diseases-Rheumatology and Internal Medicine Service, Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas, University Hospital Príncipe de Asturias, Alcala de Henares, Spain; Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain; Department of Medicine and Medical Specialities, University of Alcala, 28801 Alcala de Henares, Madrid, Spain
| | - Ana Gonzalez-Pinto
- Psychiatry Department, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain; Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain; CIBERSAM
| | - Miguel Angel Alvarez-Mon
- Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain; Department of Medicine and Medical Specialities, University of Alcala, 28801 Alcala de Henares, Madrid, Spain; Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain
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