Assessing nursing students’ e−health literacy and foresights to global health challenges during COVID−19 restrictions: A cross-sectional study with a machine learning approach

This study aims to assess the e-health literacy and foresights to global health challenges of nursing students during the COVID19 restrictions. As the healthcare environment becomes more digitalized, understanding how nursing students perceive and prepare for global health challenges during the COVI...

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Veröffentlicht in:	Nurse education in practice Jg. 81; S. 104179
Hauptverfasser:	KUPCU, Cisem, BODUR, Gonul, KUCUKKAYA, Aycan, GOKTAS, Polat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Scotland Elsevier Ltd 01.11.2024 Elsevier Limited
Schlagworte:	Ability Adult Artificial intelligence Challenges Chronic illnesses Collaboration College students Councils COVID-19 COVID-19 restrictions Cross-Sectional Studies Curricula E-health literacy Education Education, Nursing, Baccalaureate Educational Strategies Female Gender pay gap Global Health Global health challenges Globalization Health care industry Health disparities Health education Health Literacy Health Promotion Health services Humans International Organizations Literacy Machine Learning Male Medical education Mental health services Midwifery Migration Nurses Nursing Nursing education Nursing students Pandemics Primary Health Care Public health Quantitative analysis Restrictions Skills Statistical analysis Statistical methods Students Students, Nursing - psychology Students, Nursing - statistics & numerical data Surveys and Questionnaires Turkey Young Adult Turkey Nursing students Global health challenges Educational strategies COVID-19 restrictions Machine learning E-health literacy
ISSN:	1471-5953, 1873-5223, 1873-5223
Online-Zugang:	Volltext
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