A Study on Internet News for Patient Safety Campaigns: Focusing on Text Network Analysis and Topic Modeling
Abstract
:1. Introduction
2. Methods
2.1. Research Design
2.2. Research Subjects
2.3. Data-Collection Procedure
2.4. Data Analysis
2.4.1. Data Preprocessing
2.4.2. Network Analysis and Visualization
2.4.3. Centrality Analysis of Keywords
2.4.4. Topic Modeling Analysis
3. Results
3.1. Word Extraction and Filtering
3.2. Network Analysis and Visualization
3.3. Analysis of the Centrality of Keywords
3.4. Topic Modeling
4. Discussion
5. Study Implications
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Rank | Keyword | |||||||
---|---|---|---|---|---|---|---|---|
Frequency | Degree Centrality | Betweenness Centrality | Closeness Centrality | |||||
1 | Hospital | 809 | Hospital | 0.440 | Hospital | 0.212 | Hospital | 0.634 |
2 | Medical | 490 | Medical | 0.309 | Medical | 0.091 | Medical | 0.586 |
3 | Project | 466 | Medicine | 0.270 | Medicine | 0.080 | Medicine | 0.565 |
4 | Medicine | 451 | Project | 0.263 | Treatment | 0.072 | Project | 0.564 |
5 | Institution | 384 | Treatment | 0.251 | Project | 0.066 | Institution | 0.561 |
6 | Treatment | 337 | Institution | 0.251 | Institution | 0.061 | Treatment | 0.558 |
7 | Improvement | 313 | Improvement | 0.238 | Improvement | 0.048 | Management | 0.555 |
8 | Management | 311 | Management | 0.226 | Health | 0.045 | Improvement | 0.554 |
9 | Progress | 291 | Activity | 0.202 | Management | 0.040 | Health | 0.543 |
10 | Health | 271 | Health | 0.200 | Activity | 0.034 | Activity | 0.539 |
11 | Prevention | 238 | Prevention | 0.170 | Prevention | 0.025 | Prevention | 0.532 |
12 | Activity | 232 | Education | 0.168 | Participation | 0.024 | Target | 0.529 |
13 | Region | 197 | Region | 0.158 | Progress | 0.024 | Participation | 0.526 |
14 | Participation | 194 | Target | 0.158 | Education | 0.024 | Region | 0.524 |
15 | Staff | 192 | Participation | 0.156 | Region | 0.023 | Progress | 0.519 |
16 | Education | 192 | Staff | 0.146 | Staff | 0.019 | Staff | 0.516 |
17 | Infection | 192 | Progress | 0.144 | Target | 0.016 | Education | 0.512 |
18 | Target | 189 | Infection | 0.124 | Awareness | 0.012 | Infection | 0.507 |
19 | Mint | 161 | System | 0.100 | Evaluation | 0.012 | Proactive | 0.501 |
20 | Caregiver | 148 | Relevance | 0.100 | Proactive | 0.011 | Relevance | 0.501 |
21 | Quality | 137 | Evaluation | 0.097 | Infection | 0.011 | Awareness | 0.498 |
22 | Culture | 130 | Check | 0.092 | Mint | 0.010 | System | 0.496 |
23 | Effort | 126 | Proactive | 0.092 | Pain | 0.010 | Quality | 0.495 |
24 | Importance | 125 | Awareness | 0.092 | Needs | 0.010 | Importance | 0.495 |
25 | Check | 117 | Society | 0.092 | Culture | 0.008 | Society | 0.495 |
26 | Awareness | 116 | Promotion | 0.088 | Check | 0.008 | Reinforcement | 0.493 |
27 | Hold | 114 | Importance | 0.088 | Incident | 0.008 | Caregiver | 0.492 |
28 | Provision | 113 | Pharmacy | 0.088 | Implementation | 0.008 | Provision | 0.492 |
29 | Society | 113 | Mint | 0.088 | Pharmacy | 0.008 | Operation | 0.492 |
30 | Evaluation | 107 | Theme | 0.085 | System | 0.008 | Theme | 0.489 |
Category | 1st Keyword | 2nd Keyword | 3rd Keyword | 4th Keyword | 5th Keyword | Topic Group | No of Articles (%) |
---|---|---|---|---|---|---|---|
Topic 1 | Treatment | Hospital | Medical | Evaluation | Institution | Patient-centered care for medical safety | 459 (22.7) |
Topic 2 | Medical | Hospital | Health | Institution | Region | Health promotion projects at a regional institution | 409 (20.2) |
Topic 3 | Management | Prevention | Infection | Education | Hand hygiene | Hand hygiene education to prevent infection | 363 (18.0) |
Topic 4 | Project | Hospital | Progression | Improvement | Mint | Healthcare quality improvement through the Mint Festival | 471 (23.3) |
Topic 5 | Medicine | Institution | Usage | Side effect | Region | Safe use of medicines | 318 (15.8) |
Total | 2020 (100.0) |
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Shin, S.-H.; Baek, O.-J. A Study on Internet News for Patient Safety Campaigns: Focusing on Text Network Analysis and Topic Modeling. Healthcare 2024, 12, 1914. https://doi.org/10.3390/healthcare12191914
Shin S-H, Baek O-J. A Study on Internet News for Patient Safety Campaigns: Focusing on Text Network Analysis and Topic Modeling. Healthcare. 2024; 12(19):1914. https://doi.org/10.3390/healthcare12191914
Chicago/Turabian StyleShin, Sun-Hwa, and On-Jeon Baek. 2024. "A Study on Internet News for Patient Safety Campaigns: Focusing on Text Network Analysis and Topic Modeling" Healthcare 12, no. 19: 1914. https://doi.org/10.3390/healthcare12191914
APA StyleShin, S. -H., & Baek, O. -J. (2024). A Study on Internet News for Patient Safety Campaigns: Focusing on Text Network Analysis and Topic Modeling. Healthcare, 12(19), 1914. https://doi.org/10.3390/healthcare12191914