ArticleBMC nursing2025
Examining the relationship between midwives' attitudes toward artificial intelligence use and their job satisfaction.
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 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Artificial intelligence literacy and associations with thriving at work among nurses in Anhui Province, China: a latent profile analysis.BMC nursing · 2026Article
- Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.Journal of nursing management · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdapting to artificial intelligence technology, which has been very popular recently, is becoming inevitable for healthcare professionals. The use of technology has the potential to affect health professionals' feelings of satisfaction towards their work. The aim of this study is to examine the relationship between midwives' attitudes towards the use of artificial intelligence and their job satisfaction. METODS: This descriptive study was conducted with 804 midwives between June and November 2024. The study data were collected with the Demographic Information Form, the Health Professionals' Attitudes Towards The Use of Artificial Intelligence Scale and Minnesota Job Satisfaction Scale. Descriptive statistics including percentages and averages were used to analyze the data. Independent sample t-tests were used to compare two groups, one-way analysis of variance (ANOVA) was used to compare more than two groups, and Pearson correlation analysis was used to examine the relationship between two continuous variables.
resultsThe mean age of the midwives participating in the study was 32.58 ± 8.39 years. There is a statistically significant difference between the status of midwives' receiving artificial intelligence training and using artificial intelligence tools and their midwives' attitudes towards the use of artificial intelligence scores (t = 4.795, p = 0.001; t = 3.877, p = 0.001). There is a statistically significant difference between the status of midwives' receiving artificial intelligence training and using artificial intelligence tools and their job satisfaction scores (t = 2.305, p = 0.029; t = 3.289, p = 0.001). A low level significant relationship was found between midwives' job satisfaction levels and their attitudes towards the use of artificial intelligence (r = 0.109, p = 0.002).
conclusionDetermining the artificial intelligence attitudes of midwives is valuable for the development of artificial intelligence supported systems and the integration of these systems into the field. As midwives' attitudes towards the use of artificial intelligence increase positively, their job satisfaction levels increase. Expanding the use of artificial intelligence tools will increase job satisfaction and improve the quality of health care. THE IMPLICATION FOR NURSING AND MIDWIFERY MANAGEMENT: In order to increase the quality of health care, midwives' job satisfaction should be increased. For this, first of all, midwives' adaptation to the developing technology and their attitudes towards it should be determined. In order to integrate artificial intelligence, which is the latest technology, into the field of health and to eliminate concerns, it is necessary to provide trainings on this subject and to increase positive attitudes. The widespread use of artificial intelligence will be effective in increasing the job satisfaction of midwives.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.