ArticleBMC nursing2024
The psychometric properties of the Persian version of the innovation support inventory (ISI-12) in clinical nurses: a methodological cross-sectional study.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Validation and Psychometric Evaluation of the Persian Version of the Nurse Intuition Patient Deterioration Scale: A Methodological Study.Nursing open · 2026Article
- Translation and psychometric evaluation of the Witness Perceived Safety Scale of prehospital emergency care.BMC emergency medicine · 2025Article
- Assessing the relationship between happiness and professional autonomy among clinical nurses: an analytical cross-sectional study.BMC nursing · 2025Article
- Psychometric Evaluation of the Integral Nursing Leadership Scale Among Iranian Clinical Nurses: A Methodological Study.Journal of nursing management · 2025Article
- Psychometric evaluation of Persian version of the oral presentation evaluation scale in nursing students.BMC nursing · 2024Article
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7 authors.
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Abstract
backgroundInnovation in nursing involves applying new knowledge to create novel ideas, methods, or technologies, resulting in higher-quality care and improved patient outcomes. Adequate support for innovation is crucial for progress in nursing. This study aimed to translate the Innovation Support Inventory (ISI-12) into Persian and assess its psychometric properties specifically among clinical nurses.
methodsA methodological cross-sectional study was conducted from September 2022 to July 2023 to evaluate the face, content, and construct validity of the ISI-12. Construct validity was assessed through confirmatory factor analysis (CFA) and convergent and discriminant validity evaluation using data obtained from 321 clinical nurses. The test-retest stability and internal consistency of the ISI-12 were also evaluated to assess its reliability.
resultsThe Persian version of the ISI-12 validation through confirmatory factor analysis has confirmed its fit with the proposed three-factor model. The ISI-12 demonstrated high reliability, as evidenced by a Cronbach's alpha coefficient (α = 0.969), McDonald's omega coefficient (ω = 0.922), coefficient H (H = 0.979), and mean inter-item correlation (ρ = 0.418). Additionally, the stability of the ISI-12 during two weeks among 40 clinical nurses was found to be excellent, with an ICC of 0.951.
conclusionThe Persian version of the ISI-12 is a valid inventory for evaluating the innovation Support of clinical nurses.
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