Evaluating clinical placements in Saudi Arabia with the CLES+T scale.


Journal

Nurse education in practice
ISSN: 1873-5223
Titre abrégé: Nurse Educ Pract
Pays: Scotland
ID NLM: 101090848

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 01 09 2018
revised: 30 05 2019
accepted: 08 07 2019
pubmed: 28 7 2019
medline: 20 2 2020
entrez: 28 7 2019
Statut: ppublish

Résumé

The clinical learning environment and supervision (CLES) tool has been enhanced with an additional sub-scale for measuring the quality of nurse teacher's involvement to form the CLES + T scale. It has been widely used in many countries to evaluate clinical placements. Here we report data from Saudi Arabia. The CLES + T was employed to measure satisfaction among student nurses concerning their clinical learning environment. Linear regression was used to determine relationships of various variables to the outcomes of total CLES + T score and those of its subscales. Students were generally satisfied with their placements. For female students the number of visits of the nurse tutor was positively associated with most subscales and with the total score. For males, who had fewer visits from a nurse tutor, there was no such association. Nurse tutor visits are positive in terms of clinical placement evaluation by female student nurses. Saudi nursing students are generally similar to students in other international studies in terms of their appraisal of clinical placements.

Identifiants

pubmed: 31351307
pii: S1471-5953(18)30635-8
doi: 10.1016/j.nepr.2019.07.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

11-16

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Norah A Al-Anazi (NA)

King Saud University, Saudi Arabia. Electronic address: Nory1410@hotmail.com.

Dalyal Alosaimi (D)

King Saud University, Saudi Arabia. Electronic address: dalosaimi@ksu.edu.sa.

Isabelita Pandaan (I)

King Saud University, Saudi Arabia. Electronic address: ipandaan@ksu.edu.sa.

Denis Anthony (D)

University of Derby, UK. Electronic address: D.anthony@derby.ac.uk.

Sue Dyson (S)

University of Derby, UK. Electronic address: S.dyson@derby.ac.uk.

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Classifications MeSH