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Translation and Validation of Digital Competence Indicators in Greek for Health Professionals: A Cross-Sectional Study.
Karvouniari, Alexandra; Karabetsos, Dimitrios; Kleisiaris, Christos F; Karavasileiadou, Savvato; Baghdadi, Nadiah; Kyrarini, Virginia-Athanasia; Kasagianni, Evangelia; Tsalkitzi, Afroditi; Malliarou, Maria; Melas, Christos.
Afiliación
  • Karvouniari A; Department of Nursing, School of Health Science, Hellenic Mediterranean University, 71410 Heraklion Crete, Greece.
  • Karabetsos D; Department of Neurosurgery, University Hospital of Heraklion, 71500 Heraklion Crete, Greece.
  • Kleisiaris CF; Department of Nursing, University of Thessaly, Gaiopolis, 41500 Larissa, Greece.
  • Karavasileiadou S; Department of Community Health Nursing, College of Nursing, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Baghdadi N; Nursing Management and Education Department, College of Nursing, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Kyrarini VA; Department of Mathematics, University of Patras, 26504 Rio, Greece.
  • Kasagianni E; 424 General Army Training Hospital, 56429 Thessaloniki, Greece.
  • Tsalkitzi A; 401 General Military Hospital of Athens, 11525 Athens, Greece.
  • Malliarou M; Department of Nursing, University of Thessaly, Gaiopolis, 41500 Larissa, Greece.
  • Melas C; Department of Nursing, School of Health Science, Hellenic Mediterranean University, 71410 Heraklion Crete, Greece.
Healthcare (Basel) ; 12(14)2024 Jul 09.
Article en En | MEDLINE | ID: mdl-39057513
ABSTRACT

BACKGROUND:

it is widely accepted that living in the digital transformation era, the need to develop and update new professional skills and tools in health sectors is crucially important. Therefore, this study aimed to explore the reliability and validity of the Digital Competence Indicators tool in assessing the digital skills of Greek health professionals.

METHODS:

in this cross-sectional study, 494 health professionals, including doctors (175) and registered nurses (319) working in four Greek hospitals were recruited and willingly participated using a convenience-sampling method. The original framework of Digital Competence Indicators was translated from English to Greek based on guidelines for cross-cultural adaptation of questionnaires. The validity of the tool was explored using confirmatory factor analysis (CFA) to verify the fit of the model using inductive techniques. The instrument reliability was confirmed using Cronbach's alpha (α) and McDonald's Omega coefficients.

RESULTS:

the reliability was estimated at 0.826 (Cronbach's-α) and 0.850 (McDonald's Omega-ω). The indicators of CFA were all calculated within an ideal range of acceptance. Specifically, the CFA comparative fit index produced the following adjustment indices x2/df = 1.152 (p = 0.037), CFI = 0.997, Lewis index (TLI) = 0.966, and root mean square error of approximation (RMSEA) = 0.018.

CONCLUSIONS:

The present study demonstrated that the Digital Competence Indicator instrument has high reliability, internal consistency, and construct validity and, therefore, it is suitable for measuring digital skills of health professionals.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Healthcare (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Healthcare (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza