Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Ms. Olsen test: Measurement properties of a short test of nursing staffs' competence in clinical decision-making
University of South-Eastern Norway, Norway.
Åland University of Applied Sciences, Finland.
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology. University of Gothenburg, Sweden.ORCID iD: 0000-0002-3700-3921
2021 (English)In: Journal of Advanced Nursing, ISSN 0309-2402, E-ISSN 1365-2648, Vol. 77, no 10, p. 4268-4278Article in journal (Refereed) Published
Abstract [en]

AIMS: To assess the measurement properties of the Ms. Olsen test for registered nurses and assistant nurses, respectively, and suggest cut-off points between competence levels. DESIGN: Cross-sectional study. The results were analysed by implementing the Rasch Measurement Theory. METHODS: Nursing staff working in various health care settings participated (n = 757). To measure the competence of nursing staff in clinical decision-making, a 19-item scale from the Nursing Older People-Competence Evaluation Tool-the 'Ms. Olsen test'-was used. Data were collected in October 2017, 2018 and 2019. RESULTS: The Ms. Olsen test showed reasonably good measurement properties for registered nurses and assistant nurses respectively. Results show slightly better measurement properties for registered nurses than for assistant nurses. The cut-off for registered nurses, 0.62, corresponds to managing approximately two-thirds of the items while, for assistant nurses, the cut-off of 0.01 corresponds to managing approximately half of the items. CONCLUSION: The Ms. Olsen test is a short (7- to 10-min) test measuring competence in clinical decision-making among nursing staff working in older people nursing. Despite reasonably good measurement properties, this should be considered an initial validation in the development of a short test for assessing clinical decision-making among nursing staff in various health care setting. IMPACT: Several scales aiming to measure nursing competence have been developed over the last decade, but measurement properties (beyond classical test theory) are seldom evaluated, few scales concern other staff groups than registered nurses and few scales have proposed or established cut-offs for safe practice. The Ms. Olsen test is a short test of clinical decision-making that demonstrates reasonably good measurement properties. Cut-off points for registered nurses and assistant nurses were established. The Ms. Olsen test may be used to measure and evaluate competence in clinical decision-making among nursing staff working in older people nursing and educational settings.

Place, publisher, year, edition, pages
John Wiley & Sons, 2021. Vol. 77, no 10, p. 4268-4278
Keywords [en]
Rasch Measurement Theory, assistant nurse, clinical decision-making, competence measurement, measurement properties, nursing, older people, registered nurses
National Category
Nursing
Identifiers
URN: urn:nbn:se:ri:diva-56224DOI: 10.1111/jan.15025Scopus ID: 2-s2.0-85113290575OAI: oai:DiVA.org:ri-56224DiVA, id: diva2:1589822
Available from: 2021-09-01 Created: 2021-09-01 Last updated: 2023-05-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Melin, Jeanette

Search in DiVA

By author/editor
Melin, Jeanette
By organisation
Measurement Technology
In the same journal
Journal of Advanced Nursing
Nursing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 77 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf