Evidence map›Paper›PMID 39133950›Full record

ArticleInternational journal of nursing practice2024

Content validation study on the Advanced Practice Role Delineation Tool.

Krista Jokiniemi, Michael Ackerman, Laura Hako, Anna-Maija Pietilä

Abstract readValidation Study
In one paragraph

Article in International journal of nursing practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Content validation study on the Advanced Practice Role Delineation Tool.International journal of nursing practice · 2024
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Krista JokiniemiDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-6272-8203
Michael AckermanCollege of Nursing, Rochester, New York, USA.
Laura HakoDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Anna-Maija PietiläDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRole understanding and practice standards become extremely important in countries that are developing and assessing nursing and advanced practice nursing (APN) roles.

aimTo describe the process and findings of a content validation study conducted on the Advanced Practice Role Delineation (APRD) tool in a Finnish context.

designA tool content validation study.

methodBetween September and October 2019, three rounds of surveys (n = 9, n = 8, n = 5) were conducted to assess the content validity of the APRD tool. Furthermore, a thorough literature review was conducted in December 2020 to examine how the tool has been used and validated between January 2000 and December 2020.

resultsA 45-item amendment of the APRD tool was created. The Scale Content Validity Index Average of 0.97 reflects excellent content validity. A literature review of 15 studies revealed that the tool has been used by many researchers, yet there is limited research on its content and construct.

conclusionThe steps taken in this study were effective and may be replicated in other countries. Further studies are needed to validate the content and structure of the developed 45-item modification of the APRD tool.

Indexed as

Advanced Practice NursingAdultFemaleFinlandHumansMaleNurse's RoleReproducibility of ResultsSurveys and Questionnairesadvanced practice nursingnurse's rolesvalidation study

Identifiers

PMID39133950
PMCPMC11608925

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.