Holopatient technology in nursing education: a cross-sectional analysis of student and faculty perceptions.
| Publicado en: | BMC Nursing Vol. 24; no. 1; pp. 1 - 10 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
BioMed Central
9/26/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188316902&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188316902 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726955 1CIA jtl: BMC Nursing issn: 14726955 maglogo: N pubinfo: dt: 9/26/2025 vid: 24 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 188316902 188316902 188316902 10.1186/s12912-025-03856-6 188316902 ppf: 1 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Holopatient technology in nursing education: a cross-sectional analysis of student and faculty perceptions. aug: au: Alharbi, Amal Ali Almagharbeh, Wesam Taher Alfanash, Hazem AbdulKareem Alnawafleh, Khaldoon Aied Alasmari, Amal Ali Alkubati, Sameer A. Altayar, Malik A. AbouZeid, Nesreen AbdelMonaem Rezq, Khulud Ahmad Othman, Elham H. affil: https://ror.org/04yej8x59 Department of Nursing Administration and Education, Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia sug: subj: Education, Nursing, Baccalaureate Saudi Arabia Students, Nursing, Baccalaureate Psychosocial Factors Faculty, Nursing Psychosocial Factors Student Attitudes Faculty Attitudes Attitude to Computers Computer Simulation Patient Simulation Teaching Methods Learning Methods Human Male Female Adult Middle Age Saudi Arabia Quantitative Studies Cross Sectional Studies Schools, Nursing Purposive Sample Questionnaires Descriptive Statistics Data Analysis Software Chi Square Test Multiple Linear Regression T-Tests Clinical Reasoning Student Satisfaction Maternal-Child Health Surgery, Operative Job Experience Digital Technology Funding Source Mixed Reality Adult: 19-44 years Middle Aged: 45-64 years Male Female pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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