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Nursing-related National Petition Analysis: Text Network Analysis and Topic Modeling

Nursing-related National Petition Analysis: Text Network Analysis and Topic Modeling

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0007711
Enrollment
2
Registered
2022-09-19
Start date
2022-05-07
Completion date
Unknown
Last updated
2022-10-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Jeonbuk National University
Lead Sponsor
Jeonbuk National University
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Written by a nurse and related to nursing 2. An article in which the main character of the case is a nurse 3. Articles on nursing policies and systems, such as Comprehensive Nursing Care service 4. Written by another occupation but related to nurses 5. An article written by a nursing student

Exclusion criteria

Exclusion criteria: 1. An article in which the main character of the case is not a nurse 2. Writing about nursing assistants 3. Articles on sick care 4. Writing that includes 'nurse' or 'nursing' but is not related to nursing or medical services due to the flow of contents 5. a duplicate article

Design outcomes

Primary

MeasureTime frame
Number of nurse-related petition posts

Secondary

MeasureTime frame
Number of nurse petition posts by year, period, and subject

Countries

Korea, Republic of

Contacts

Public ContactKo Hyun Jung

Jeonbuk National University

ldiaryl@naver.com+82-70-8251-0635

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026