Refining a self-assessment of informatics competency scale using Mokken scaling analysis.

Healthcare environments are increasingly implementing health information technology (HIT) and those from various professions must be competent to use HIT in meaningful ways. In addition, HIT has been shown to enable interprofessional approaches to health care. The purpose of this article is to descr...

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Publicado en:Journal of Interprofessional Care Vol. 29; no. 6; pp. 579 - 587
Autores principales: Yoon, Sunmoo, Shaffer, Jonathan A., Bakken, Suzanne
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Nov2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2015
      vid: 29
      iid: 6
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.3109/13561820.2015.1049340
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        atl: Refining a self-assessment of informatics competency scale using Mokken scaling analysis.
      aug:
        au:
          Yoon, Sunmoo
          Shaffer, Jonathan A.
          Bakken, Suzanne
        affil: School of Nursing
      sug:
        subj:
          Informatics Education
          Psychometrics
          Education, Interdisciplinary
          Human
          Data Analysis
          Health Information
          Nurses Education
          Collaboration
          Education
          Evaluation
          Statistics
          Quantitative Studies
          Self Assessment
          Funding Source
      ab: Healthcare environments are increasingly implementing health information technology (HIT) and those from various professions must be competent to use HIT in meaningful ways. In addition, HIT has been shown to enable interprofessional approaches to health care. The purpose of this article is to describe the refinement of the Self-Assessment of Nursing Informatics Competencies Scale (SANICS) using analytic techniques based upon item response theory (IRT) and discuss its relevance to interprofessional education and practice. In a sample of 604 nursing students, the 93-item version of SANICS was examined using non-parametric IRT. The iterative modeling procedure included 31 steps comprising: (1) assessing scalability, (2) assessing monotonicity, (3) assessing invariant item ordering, and (4) expert input. SANICS was reduced to an 18-item hierarchical scale with excellent reliability. Fundamental skills for team functioning and shared decision making among team members (e.g. “using monitoring systems appropriately,” “describing general systems to support clinical care”) had the highest level of difficulty, and “demonstrating basic technology skills” had the lowest difficulty level. Most items reflect informatics competencies relevant to all health professionals. Further, the approaches can be applied to construct a new hierarchical scale or refine an existing scale related to informatics attitudes or competencies for various health professions.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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