Attitudes of the public and medical professionals toward nurse prescribing: A text-mining study based on social medias
Objectives: This study aimed to explore the public and medical professionals' concerns and attitudes toward nurse prescribing using text-mining method to analyze social media data. Methods: Python was used to automatically mine data related to the keywords "nurse prescribing" and &quo...
Saved in:
Main Authors: | Qi Zhou (Author), Yiqing Xu (Author), Lili Yang (Author), Rashid Menhas (Author) |
---|---|
Format: | Book |
Published: |
Elsevier,
2024-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Toward an Ethical Framework for the Text Mining of Social Media for Health Research: A Systematic Review
by: Elizabeth Ford, et al.
Published: (2021) -
Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach
by: Chen Luo, et al.
Published: (2021) -
Health professionals' sentiments towards implemented information technologies in psychiatric hospitals: a text-mining analysis
by: C. Golz, et al.
Published: (2022) -
Investigation of the attitudes of medical/nursing staff and patients towards nurse prescribing
by: Ioanna Lourantaki, et al.
Published: (2018) -
Healthcare professionals' perceptions on medication communication challenges and solutions - text mining and manual content analysis - cross-sectional study
by: Tiina Syyrilä, et al.
Published: (2021)