Social Media Usage in Kuwait: A Comparison of Perspectives Between
Healthcare Practitioners and Patients
- URL: http://arxiv.org/abs/2005.07898v1
- Date: Sat, 16 May 2020 08:12:03 GMT
- Title: Social Media Usage in Kuwait: A Comparison of Perspectives Between
Healthcare Practitioners and Patients
- Authors: Fatemah Husain, Vivian Motti
- Abstract summary: We conducted user studies to understand the behavior of patients and medical practitioners in social media toward healthcare and medical purposes.
Through an online survey, we identified a decrease in patients and medical practitioners use of social media for medical purposes.
Findings highlighted the need to design a social media platform that support healthcare online campaign, professional career identity, medical repository, and social privacy setting.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Social Media has been transforming numerous activities of everyday life,
impacting also healthcare. However, few studies investigate the medical use of
social media by patients and medical practitioners, especially in the Arabian
Gulf region and Kuwait. To understand the behavior of patients and medical
practitioners in social media toward healthcare and medical purposes, we
conducted user studies. Through an online survey, we identified a decrease in
patients and medical practitioners use of social media for medical purposes.
Patients reported to be more aware than practitioners concerning: health
education, health-related network support, and communication activities. While
practitioners use social media mostly as a source of medical information, for
clinician marketing and for professional development. The findings highlighted
the need to design a social media platform that support healthcare online
campaign, professional career identity, medical repository, and social privacy
setting to increase users engagements toward medical purposes.
Related papers
- MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway
Encoding [48.348511646407026]
We introduce the Medical dialogue with Knowledge enhancement and clinical Pathway encoding framework.
The framework integrates an external knowledge enhancement module through a medical knowledge graph and an internal clinical pathway encoding via medical entities and physician actions.
arXiv Detail & Related papers (2024-03-11T10:57:45Z) - Yes, this is what I was looking for! Towards Multi-modal Medical
Consultation Concern Summary Generation [46.42604861624895]
We propose a new task of multi-modal medical concern summary generation.
Nonverbal cues, such as patients' gestures and facial expressions, aid in accurately identifying patients' concerns.
We construct the first multi-modal medical concern summary generation corpus.
arXiv Detail & Related papers (2024-01-10T12:56:47Z) - A Comprehensive Picture of Factors Affecting User Willingness to Use
Mobile Health Applications [62.60524178293434]
The aim of this paper is to investigate the factors that influence user acceptance of mHealth apps.
Users' digital literacy has the strongest impact on their willingness to use them, followed by their online habit of sharing personal information.
Users' demographic background, such as their country of residence, age, ethnicity, and education, has a significant moderating effect.
arXiv Detail & Related papers (2023-05-10T08:11:21Z) - HEAR4Health: A blueprint for making computer audition a staple of modern
healthcare [89.8799665638295]
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems.
Computer audition can be seen to be lagging behind, at least in terms of commercial interest.
We categorise the advances needed in four key pillars: Hear, corresponding to the cornerstone technologies needed to analyse auditory signals in real-life conditions; Earlier, for the advances needed in computational and data efficiency; Attentively, for accounting to individual differences and handling the longitudinal nature of medical data.
arXiv Detail & Related papers (2023-01-25T09:25:08Z) - Combating Health Misinformation in Social Media: Characterization,
Detection, Intervention, and Open Issues [24.428582199602822]
The rise of various social media platforms also enables the proliferation of online misinformation.
Health misinformation in social media has become an emerging research direction that attracts increasing attention from researchers of different disciplines.
arXiv Detail & Related papers (2022-11-10T01:52:12Z) - Mental Illness Classification on Social Media Texts using Deep Learning
and Transfer Learning [55.653944436488786]
According to the World health organization (WHO), approximately 450 million people are affected.
Mental illnesses, such as depression, anxiety, bipolar disorder, ADHD, and PTSD.
This study analyzes unstructured user data on Reddit platform and classifies five common mental illnesses: depression, anxiety, bipolar disorder, ADHD, and PTSD.
arXiv Detail & Related papers (2022-07-03T11:33:52Z) - Digital Twins, Internet of Things and Mobile Medicine: a Review of
Current Platforms to Support Smart Healthcare [0.0]
"Smart Healthcare" offers many approaches aimed at solving the acute problems faced by modern healthcare.
In this paper, we review the main problems of modern healthcare, analyze existing approaches and technologies in the areas of digital twins, the Internet of Things and mobile medicine.
arXiv Detail & Related papers (2021-06-22T13:01:39Z) - Assessing the Severity of Health States based on Social Media Posts [62.52087340582502]
We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state.
The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
arXiv Detail & Related papers (2020-09-21T03:45:14Z) - A Review on Security and Privacy of Internet of Medical Things [1.6099403809839032]
The Internet of Medical Things (IoMT) are increasing the accuracy, reliability, and the production capability of electronic devices.
Sensors, wearable devices, medical devices, and clinical devices are all connected to form an ecosystem of the Internet of Medical Things.
arXiv Detail & Related papers (2020-09-11T12:31:40Z) - The perceptions of social and information privacy risks of Inflammatory
Bowel Disease patients using social media platforms for health-related
support [4.349068560043031]
We conducted interviews with 38 patients with inflammatory bowel disease (IBD) using social media platforms to engage with online communities.
We identified that patients typically demonstrate the privacy and risk dual calculus for perceived social privacy concerns.
Our findings illustrate the different levels of understanding between social and information privacy and the impacts on how individuals take agency over their personal data.
arXiv Detail & Related papers (2020-08-08T15:31:23Z) - Mining social media data for biomedical signals and health-related
behavior [0.0]
Social media data has been increasingly used to study biomedical and health-related phenomena.
We review recent work in mining social media for biomedical, epidemiological, and social phenomena information.
We discuss a variety of innovative uses of social media data for health-related applications and important limitations in social media data access and use.
arXiv Detail & Related papers (2020-01-28T12:08:22Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.