Cargando…

Social media language of healthcare super-utilizers

An understanding of healthcare super-utilizers’ online behaviors could better identify experiences to inform interventions. In this retrospective case-control study, we analyzed patients’ social media posts to better understand their day-to-day behaviors and emotions expressed online. Patients inclu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Guntuku, Sharath Chandra, Klinger, Elissa V., McCalpin, Haley J., Ungar, Lyle H., Asch, David A., Merchant, Raina M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994843/ https://www.ncbi.nlm.nih.gov/pubmed/33767336 http://dx.doi.org/10.1038/s41746-021-00419-2

Ejemplares similares

Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Characterizing COVID-19 Content Posted to TikTok: Public Sentiment and Response During the First Phase of the COVID-19 Pandemic
por: Southwick, Lauren, et al.
Publicado: (2021)

Variability in Language used on Social Media prior to Hospital Visits
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Author Correction: Variability in Language used on Social Media Prior to Hospital Visits
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Reddit language indicates changes associated with diet, physical activity, substance use, and smoking during COVID-19
por: Wanchoo, Karan, et al.
Publicado: (2023)

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models
por: Andy, Anietie U, et al.
Publicado: (2021)

Evaluating the predictability of medical conditions from social media posts
por: Merchant, Raina M., et al.
Publicado: (2019)

Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study
por: Seltzer, Emily K, et al.
Publicado: (2022)

Patients’ willingness to share digital health and non-health data for research: a cross-sectional study
por: Seltzer, Emily, et al.
Publicado: (2019)

Public Priorities and Concerns Regarding COVID-19 in an Online Discussion Forum: Longitudinal Topic Modeling
por: Stokes, Daniel C., et al.
Publicado: (2020)

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis
por: Griffis, Heather, et al.
Publicado: (2020)

Investigating Social Media to Evaluate Emergency Medicine Physicians’ Emotional Well-being During COVID-19
por: Agarwal, Anish K., et al.
Publicado: (2023)

Examining the Phenomenon of Quarter-Life Crisis Through Artificial Intelligence and the Language of Twitter
por: Agarwal, Shantenu, et al.
Publicado: (2020)

The online language of work-personal conflict
por: Liou, Gloria, et al.
Publicado: (2023)

Effect of Posting on Social Media on Systolic Blood Pressure and Management of Hypertension: A Randomized Controlled Trial
por: Mancheno, Christina, et al.
Publicado: (2021)

Tracking Mental Health and Symptom Mentions on Twitter During COVID-19
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Partisan Differences in Twitter Language Among US Legislators During the COVID-19 Pandemic: Cross-sectional Study
por: Guntuku, Sharath Chandra, et al.
Publicado: (2021)

Studying expressions of loneliness in individuals using twitter: an observational study
por: Guntuku, Sharath Chandra, et al.
Publicado: (2019)

Improving Mood Through Community Connection and Resources Using an Interactive Digital Platform: Development and Usability Study
por: Ortiz, Robin, et al.
Publicado: (2021)

Twitter discourse reveals geographical and temporal variation in concerns about COVID-19 vaccines in the United States
por: Guntuku, Sharath Chandra, et al.
Publicado: (2021)

Facebook language predicts depression in medical records
por: Eichstaedt, Johannes C., et al.
Publicado: (2018)

Cross-platform and cross-interaction study of user personality based on images on Twitter and Flickr
por: Samani, Zahra Riahi, et al.
Publicado: (2018)

The language of character strengths: Predicting morally valued traits on social media
por: Pang, Dandan, et al.
Publicado: (2019)

Opioid death projections with AI-based forecasts using social media language
por: Matero, Matthew, et al.
Publicado: (2023)

Use of Social Media Across US Hospitals: Descriptive Analysis of Adoption and Utilization
por: Griffis, Heather M, et al.
Publicado: (2014)

Google search histories of patients presenting to an emergency department: an observational study
por: Asch, Jeremy M, et al.
Publicado: (2019)

Latent human traits in the language of social media: An open-vocabulary approach
por: Kulkarni, Vivek, et al.
Publicado: (2018)

Author Correction: Opioid death projections with AI-based forecasts using social media language
por: Matero, Matthew, et al.
Publicado: (2023)

COVID-19 contact tracing app reviews reveal concerns and motivations around adoption
por: Dixon, Erica L., et al.
Publicado: (2022)

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
por: Schwartz, H. Andrew, et al.
Publicado: (2013)

Perspectives of Patients and Therapists on Social Media and Digital Data Use in Mental Health Therapy: Thematic Analysis
por: Southwick, Lauren, et al.
Publicado: (2022)

On-Pathway Oligomer of Human Islet Amyloid Polypeptide Induced and Stabilized by Mechanical Rotation During MAS NMR
por: McCalpin, Samuel D., et al.
Publicado: (2023)

Understanding the expression of loneliness on Twitter across age groups and genders
por: Andy, Anietie, et al.
Publicado: (2022)

Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study
por: Sinnenberg, Lauren, et al.
Publicado: (2018)

Using Twitter to Measure Public Discussion of Diseases: A Case Study
por: Weeg, Christopher, et al.
Publicado: (2015)

State and Federal Legislators’ Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis
por: Abrams, Matthew P, et al.
Publicado: (2023)

Discovering thematic change and evolution of utilizing social media for healthcare research
por: Chen, Xieling, et al.
Publicado: (2019)

Natural language processing for social media
por: Farzindar, Anna Atefeh, et al.
Publicado: (2020)

Bots and Misinformation Spread on Social Media: Implications for COVID-19
por: Himelein-Wachowiak, McKenzie, et al.
Publicado: (2021)

Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment
por: Wong, Charlene A, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_rm57cuoa48vfa1fuk2444h7916