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Høgskulen på Vestlandet

Replication data for: Occupational therapy students' evidence-based practice skills as reported in a mobile app: A cross-sectional study

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Description

Evidence-based practice (EBP) is regarded as part of the healthcare education curriculum. EBP teaching methods should be multifaceted, interactive, clinically integrated, and include assessment. A mobile app, the EBPsteps, was developed for students to learn and document their EBP skills. The aim of this study was to assess occupational therapy students' EBP skills as reported in the EBPsteps mobile app. Four cohorts of the 5th-semester occupational therapy (OT) students from different academic years (2018-2021) at HVL were invited to use the EBPsteps mobile app. Reports from the app, called Critically Appraised Topics (CATs), were collected from the EBPsteps app and exported from students' user accounts in the EBPsteps to Microsoft Excel®. We developed a scoring plan for each EBP step in the CATs, found in Appendix 1 in the article. This dataset includes 240 CATs written in Norwegian and delivered from the 119 OT students who chose to participate in the study.

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DataverseNO
  • Open license
  • xlsx
  • txt
Description:

DataverseNO is a national, generalist repository for the open sharing of research data established in 2017. The repository is managed by UiT The Arctic University of Norway on behalf of a national consortium consisting of the DataverseNO partner institutions. The repository supports the FAIR principles and was CoreTrustSeal certified for the first time in 2020. It is currently renewing its certification. The repository uses Dataverse, an open-source platform developed by an international community led by Harvard University and used worldwide.

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https://dataverse.no
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Documentation:
https://dataverse.no/dataset.xhtml?persistentId=doi:10.18710/ETCEOE
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Distributions
1

DataverseNO
  • Open license
  • xlsx
  • txt
Description:

DataverseNO is a national, generalist repository for the open sharing of research data established in 2017. The repository is managed by UiT The Arctic University of Norway on behalf of a national consortium consisting of the DataverseNO partner institutions. The repository supports the FAIR principles and was CoreTrustSeal certified for the first time in 2020. It is currently renewing its certification. The repository uses Dataverse, an open-source platform developed by an international community led by Harvard University and used worldwide.

Access URL:
https://dataverse.no
Status:
Not provided
Direct download:
API:
Not provided
Documentation:
https://dataverse.no/dataset.xhtml?persistentId=doi:10.18710/ETCEOE
License:
Conforms to:
Not provided
Rights for use:
Not provided
Download

APIs providing this dataset
0

No registered APIs provide this dataset.

Contact information

Contact point:
Biblioteket ved Høgskolen på Vestlandet
Website:
https://www.hvl.no/bibliotek/forskingsstotte/eining-for-forskingsstotte/
Email:
biblioteket@hvl.no
Telephone:
Not provided

About the data

Language:
Norwegian
Content providers:
Not provided
Provenance:
User collection
Update frequency:
never
First issued:

This date indicates when the data in this dataset was first released. It may have happened before the dataset was published on data.norge.no.

August 22, 2023
Last updated:
February 13, 2023
Accuracy:
Not provided
Availability:
Not provided
Completeness:
Not provided
Currentness:
Not provided
Relevance:
Not provided
Geographical scope:
Bergen
Temporal scope:
From:
August 15, 2018
To:
December 20, 2021
Conforms to:

Reference to an implementation rule or other specification that forms the basis for the dataset.

Not provided

Legal basis

Not provided

Concepts used in the dataset

Not provided

References

Not provided

Fees

Not provided

About this dataset

Publisher:
Published:

This date indicates when the dataset was harvested by data.norge.no. It may have been available earlier elsewhere.

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September 11, 2023
Last updated:
October 22, 2026
Landing page:
https://dataverse.no/dataset.xhtml?persistentId=doi:10.18710/ETCEOE
Documentation:
Not provided
Dataset type:
Not provided
Metadata Quality:

Metadata quality is an indicator of how well the datasets are described using metadata.

Read more about metadata quality here

Good (72%)
URI:

Themes

Keywords

Not provided

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