Evidence map›Paper›PMID 40629529›Full record

ArticleInternational nursing review2025

The Correlation Between Attitudes Towards Health Technologies and Professional Self-Efficacy in Intensive Care Nurses: A Cross-Sectional Study.

Ayla Güllü, Keriman Aytekin Kanadli

Abstract read
In one paragraph

Article in International nursing review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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

2 authors.

Ayla GüllüFaculty of Health Sciences, Department of Nursing, Obstetrics and Gynecology Nursing Department, Hatay Mustafa Kemal University, Antakya, Hatay, Turkey.ORCID https://orcid.org/0000-0003-1241-9370
Keriman Aytekin KanadliHatay Mustafa Kemal University Hospital, Education Coordination, Antakya, Hatay, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study is to determine the attitudes of intensive care nurses towards health technologies and their attitudes' correlation with their professional self-efficacy.

backgroundAs the impact of digital technology in the field of health is rapidly increasing, intensive care units have become highly technologically advanced.

methodsA total of 90 nurses participated in this study. The data were gathered by using a Personal Information Form, the Health Personnel Health Technologies Assessment Attitude Scale (HPHTAAS) and the Nursing Profession Self-Efficacy Scale (NPSES). The data were analysed using linear regression analysis, ANOVA and t-test.

resultsThe findings of the study revealed that the HPHTAAS mean score of the intensive care nurses was 97.01 ± 9.23, and their NPSES mean score was 70.40 ± 6.29. The attitudes of the intensive care nurses towards health technologies and their professional self-efficacy were significantly and positively correlated (p < 0.001). In addition, attitudes towards health technologies accounted for 24.9% of the variance of professional self-efficacy.

conclusionsIntensive care nurses' attitudes towards health technologies and professional self-efficacy scores were above average. IMPLICATIONS FOR NURSING AND HEALTH POLICY: The evaluation of the effect of health technologies on nurses' self-efficacy can offer significant information to understand the process of their adaptation to technology and the effectiveness of health technologies. However, it is recommended to identify the deficiencies that hinder nurses from integrating new technologies into their professional activities and to organise necessary training programmes in respect thereof.

Indexed as

Attitude of Health PersonnelBiomedical TechnologyCritical Care NursingNursing Staff, HospitalSelf EfficacyAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesattitudehealth technologiesintensive carenurseself‐efficacy

Identifiers

PMID40629529
PMCPMC12238696

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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.