Your browser doesn't support javascript.
loading
Psychometric properties of instruments used to measure the informatics competence of nurses: A systematic review.
Li, Yue; Ji, Wenting; Chen, Huan; Xie, Xuemei; Yang, Jing; Gao, Jing.
Afiliação
  • Li Y; College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China. Electronic address: 1104740211@qq.com.
  • Ji W; College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China. Electronic address: 1422407135@qq.com.
  • Chen H; College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China. Electronic address: 303428843@qq.com.
  • Xie X; College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China. Electronic address: 1477487371@qq.com.
  • Yang J; College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China. Electronic address: 158272631@qq.com.
  • Gao J; College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China. Electronic address: 19942021@cdutcm.edu.cn.
Nurse Educ Pract ; 79: 104070, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39003784
ABSTRACT

AIM:

This systematic review aimed to assess the psychometric properties of existing nursing informatics scales of competence and provide an evidence-based basis for selecting the most appropriate assessment instruments for specific populations.

BACKGROUND:

Informatics competency is one of the fundamental competencies that nurses should have. Using an informatics competency assessment instrument is an effective way to identify competency gaps and develop a professional development plan to address them. However, no systematic reviews summarizing and assessing the psychometric properties of all nursing informatics competency assessment instruments exist.

DESIGN:

This study systematically reviews measurement properties using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) methodology.

METHODS:

Eight electronic databases (PubMed, Embase, Web of Science, CINAHL Complete, MEDLINE, PsychInfo, China National Knowledge Infrastructure and WanFang Data) were systematically searched from inception until January 10, 2024. Methodological quality was assessed using the COSMIN Risk of Bias Checklist. We used the COSMIN criteria to summarize and rate the psychometric properties.

RESULTS:

Twenty-seven studies reported twenty-five various versions of the instruments. Eighteen instruments assessed only one to three psychometric properties. No studies report cross-cultural effectiveness/measurement invariance and measurement error. The quality of evidence for structural validity or internal consistency for the three instruments failed to satisfy the COSMIN criteria. The SANICS-C has moderate to high-quality evidence of adequate content validity and internal consistency. In the end, the SANICS-C was an A recommendation, three instruments were C recommendations and the rest were B recommendations.

CONCLUSION:

The Nursing Informatics Competencies Scale for Nursing Students, SANICS-C and ICAT can be used to assess the informatics competencies of undergraduate, graduate and doctoral nursing students, respectively. The C-NICAS-FR is recommended for the assessment of nurses' informatics competence. The Self-Assessment Questionnaire for Nursing Informatics Competencies of Nursing Manager can be recommended for assessing nurse leaders' informatics competencies. Future research needs to validate these instruments' cross-cultural applicability further and comprehensively assess their psychometric properties. Along with emerging technologies, researchers should continually revisit and revise existing assessment instruments and develop instruments to assess the informatics competencies of nursing teachers.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psicometria / Informática em Enfermagem Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psicometria / Informática em Enfermagem Idioma: En Ano de publicação: 2024 Tipo de documento: Article