• Int J Nurs Stud · Oct 2020

    Measurement properties of scales assessing new graduate nurses' clinical competence: A systematic review of psychometric properties.

    • Martin Charette, Lisa G McKenna, Marc-André Maheu-Cadotte, Marie-France Deschênes, Laurence Ha, and Sophia Merisier.
    • School of Nursing and Midwifery, La Trobe University, Plenty Rd & Kingsbury Dr, Bundoora (Melbourne), Victoria, Australia, 3086; Center for Innovation in Nursing Education (CIFI), Faculty of Nursing, University of Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, Québec, Canada, H3T 1J4. Electronic address: m.charette@latrobe.edu.au.
    • Int J Nurs Stud. 2020 Oct 1; 110: 103734.

    BackgroundNew graduate nurses' competence is a concern for all healthcare organizations. Previous reports show heterogeneous levels of competency amongst them. As a positive association between competency and quality of care in clinical settings has been suggested, it is essential for researchers and clinicians to select valid, reliable, and responsive scales to assess new nurses' competence. However, a systematic evaluation of the measurement properties of scales measuring new nurses' competence had yet to be published.ObjectiveTo analyse, evaluate and synthesize the measurement properties of scales used to assess new nurses' clinical competence.DesignA systematic psychometric review based on the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methods.Data SourcesThe search strategy included a combination of keywords and thesaurus terms related to new graduate nurses, clinical competence, and competence assessment. Five databases were searched: Embase, CINAHL, MEDLINE, PsycINFO and Web of Science. The search was limited to full-text papers published in English or French, from 2010 to 2019.Review MethodsTwo independent reviewers screened eligible papers, extracted data related to validity, reliability, and responsiveness of each scale, and evaluated the quality of their measurement properties as well as risk of bias in their psychometric evaluation. Divergences were solved through discussion.ResultsTen scales were included: eight original scales, one culturally adapted and one modified. Of these scales, eight were developed or adapted in the 2010s decade and the other two scales were developed earlier. Most scales are divided into 6 to 8 subscales and use an adjectival scale with either 4, 5 or 7 points. The content validity study of all scales in this review was deemed to be doubtful or inadequate quality. Reliability was almost exclusively assessed by calculating the internal consistency with Cronbach's alpha coefficient which gives no information on equivalence or stability of the measure. Responsiveness was never properly assessed in the reviewed studies.ConclusionsThere is little evidence on the measurement properties for each scale regarding their validity and reliability; responsiveness was not assessed for any scale. Every scale evaluated in this review had different characteristics (length, subscales, response options). Therefore, selection of the most appropriate scale depends on the context and purpose of the assessment. Prospero registration number: CRD42018109711 Tweetable Abstract: Systematic review of scales measuring new nurses' competence: we must do better and conduct more validity/reliability testing of existing scales.Copyright © 2020. Published by Elsevier Ltd.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

Want more great medical articles?

Keep up to date with a free trial of metajournal, personalized for your practice.
1,624,503 articles already indexed!

We guarantee your privacy. Your email address will not be shared.