Evidence map›Paper›PMID 34946398›Full record

ArticleHealthcare (Basel, Switzerland)2021

Exploring the Competencies of Japanese Expert Nurse Practitioners: A Thematic Analysis.

Mari Igarashi, Ryuichi Ohta, Yasuo Kurita, Akinori Nakata, Tsutomu Yamazaki, Harumi Gomi

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Mari IgarashiGraduate School of Medicine, International University of Health and Welfare, Tokyo 107-8402, Japan.
Ryuichi OhtaCommunity Care, Unnan City Hospital, Unnan 699-1221, Japan.ORCID 0000-0003-2593-091X
Yasuo KuritaSchool of Medicine, International University of Health and Welfare, Narita 286-8686, Japan.
Akinori NakataGraduate School of Medicine, International University of Health and Welfare, Tokyo 107-8402, Japan.
Tsutomu YamazakiGraduate School of Medicine, International University of Health and Welfare, Tokyo 107-8402, Japan.
Harumi GomiGraduate School of Medicine, International University of Health and Welfare, Tokyo 107-8402, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nurse practitioners (NPs) provide medical care equivalent to that of physicians and facilitate access to healthcare. Although Japan's first NP graduated in 2010, how Japanese expert NPs work effectively in clinical contexts is yet to be investigated. We aimed to identify the competencies that make expert NPs in Japan effective. Twelve Japanese expert NPs were purposely selected. The average age of the participants was 44.8 years, average NP experience was 7.5 years, and eight participants were women. Semi-structured interviews were conducted online from March to May 2021. Interviews were recorded, transcribed verbatim, and analyzed using thematic analysis. Thematic analysis revealed five themes: working in physicians' contexts, interprofessional collaboration, involvement in nurses' work, contribution to healthcare, and personal qualities for effective working. Japanese expert NPs can function effectively in clinical settings by flexibly and humbly collaborating with other medical professionals who have autonomous positions. They can improve the quality of healthcare by proposing practical solutions to problems faced by patients and medical organizations. These explored competencies can be applied to other aging and more complex societal contexts, and in updating the required competencies of Japanese NPs.

Indexed as

clinical contextscompetencyJapanese contextnurse practitionerquality of life

Identifiers

PMID34946398
PMCPMC8701295

What OpenQuestion holds

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Registered trials

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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.