Evidence map›Paper›PMID 40646467›Full record

ArticleBMC nursing2025

Are nursing students ready for robotic nurses in obstetrics and gynecologic clinics? a cross-sectional study.

Burcu Küçükkaya, Merve Özoğlu

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Burcu KüçükkayaFaculty of Health Sciences, Department of Nursing, Division of Obstetrics and Gynecology Nursing, Bartın University, Bartın, Türkiye. bkucukkaya@bartin.edu.tr.ORCID http://orcid.org/0000-0002-3421-9794
Merve ÖzoğluFaculty of Health Sciences, Department of Nursing, Bartın University, Bartın, Türkiye.ORCID http://orcid.org/0009-0008-0392-1960

Funding

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 1919B012217897
6 · The paper itself

Abstract

backgroundThis study aimed to examine the relationship between nursing students' perspectives towards robotic nurses in obstetrics and gynecologic clinics, their fear of robots, their negative attitudes towards robots, and their individual innovativeness.

methodsA correlational and cross-sectional research. This study was carried out between September and December 2024 by applying the Personal Data Collection Form, Individual Innovation Scale (IAS), Robot Anxiety Scale (RAS) and Negative Attitude Towards Robots Scale (NARS) to 330 students.

resultsThere was a statistically significant negative correlation was found between the RAS and NARS total and sub-dimension mean scores (p < .001). While there was a statistically significant negative correlation between the mean scores of the IIS and the total and sub-dimensional mean scores of the RAS and NARS (p < .001), a statistically significant positive correlation was found between the mean scores of the RAS total and sub-dimensional mean scores and the mean scores of the NARS total and sub-dimensional mean scores (p < .001). It is seen that the linear regression model in which the mean total scores of the IIS, RAS and NARS were set as independent variables and the opinion on the presence of robotic nurses in the obstetrics and gynecologic clinics was set as the dependent variable was statistically significant (F = 17.141; p < .001).

conclusionAs nursing students' positive views on the presence of robotic nurses in the obstetrics and gynecologic clinics increase, their sense of individual innovativeness increases and their robot anxiety and negative attitudes towards robots decrease. Providing in-service robotic nurses training can help healthcare organizations improve obstetrics and gynecologic nurses' attitudes towards robotic nurses, increase their robotic nurses literacy and reduce their anxiety.

Indexed as

FearIndividual innovativenessNegative attitudesNursing studentObstetrics and gynecologic clinicsRobotic nurse

Identifiers

PMID40646467
PMCPMC12247460

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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.