Evidence map›Paper›PMID 42793603›Full record

ArticleHealthcare (Basel, Switzerland)2026

The Association Between Perceived Ability to Use Artificial Intelligence, Self-Reported Nursing Productivity, and Self-Reported Practice Readiness Among Nurses in Saudi Arabia: A Multicentre Cross-Sectional Study.

Ayman Mohamed El-Ashry, Eidah Farhan Ayed Alanazi, Mahmoud Abdelwahab Khedr, Ahmed Abdellah Othman, Samah Mohammed Baaqil, Norah Hadi Alwadei, Fatma A Rajhi, Abdullah Suwailem Alsharari, Hamdah Farhan Ayed Alanazi, Wejdan Abdulrahman Almutairi and 8 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Ayman Mohamed El-AshryPsychiatric and Mental Health Nursing, Faculty of Nursing, Alexandria University, Alexandria 21500, Egypt.ORCID 0000-0001-7718-4942
Eidah Farhan Ayed AlanaziRiyadh Second Health Cluster, Ministry of Health, Riyadh 11525, Saudi Arabia.
Mahmoud Abdelwahab KhedrPsychiatric and Mental Health Nursing, Faculty of Nursing, Alexandria University, Alexandria 21500, Egypt.ORCID 0000-0003-3437-3764
Ahmed Abdellah OthmanNursing Administration, Faculty of Nursing, Sohag University, Sohag 82511, Egypt.
Samah Mohammed BaaqilNursing Administration, Al-Aziziyah Children's Hospital, Jeddah Health Cluster, Ministry of Health, Jeddah 23342, Saudi Arabia.
Norah Hadi AlwadeiEastern Health Cluster, Ministry of Health, Dammam 32253, Saudi Arabia.
Fatma A RajhiJazan Health Cluster, Ministry of Health, Jazan 82723, Saudi Arabia.ORCID 0000-0002-1115-7746
Abdullah Suwailem AlsharariAljouf Health Cluster, Ministry of Health, Sakaka 72341, Saudi Arabia.
Hamdah Farhan Ayed AlanaziRiyadh Second Health Cluster, Ministry of Health, Riyadh 11525, Saudi Arabia.
Wejdan Abdulrahman AlmutairiDr. Sulaiman Al Habib Hospital, Ministry of Health, Buraydah 52381, Saudi Arabia.
Shamsh Farhan Ayed AlanaziCollege of Nursing, Riyadh Elm University, Riyadh 12734, Saudi Arabia.ORCID 0009-0000-8119-8247
Shrouq Farhan Ayed AlanaziKing Khalid University Hospital, Ministry of Health, Riyadh 11472, Saudi Arabia.
Badr Ayed AlenazyNorthern Borders Health Cluster, Ministry of Health, Arar 73211, Saudi Arabia.ORCID 0000-0002-6149-7394
Maha Farhan Ayed AlanaziNursing Department, Branch-Riyadh Region, Ministry of Health, Riyadh 11176, Saudi Arabia.
Hanadi Saad Bin TalibNursing Department, King Salman bin Abdulaziz Medical City, Ministry of Health, Al Madinah 42319, Saudi Arabia.
Khloud Abdulhadi AlshehriCouncil of the Doctor of Philosophy in Nursing Program, King Saud University, Riyadh 12372, Saudi Arabia.
Zahra Abdulsalam AlsinanEastern Health Cluster, Ministry of Health, Dammam 32253, Saudi Arabia.
Nora Ghalib AlOtaibiDepartment of Community Nursing, College of Nursing, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia.ORCID 0000-0003-3383-2631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesArtificial intelligence (AI) tools are increasingly available to nurses, but it is unclear how nurses' perceived ability to use them relates to self-reported work outcomes in Saudi Arabia. This study examined the associations of perceived ability to use AI with self-reported nursing productivity and self-reported practice readiness.

methodsA multicentre cross-sectional survey was conducted between January and March 2025 among a convenience sample of 250 nurses working in general hospitals in five Saudi cities or regions, and it was reported in accordance with the STROBE statement. The questionnaire comprised sociodemographic, professional and AI-use items, the eight-item "Perceived ability to use AI" subscale, the six-item Nursing Productivity Scale and the Nursing Practice Readiness Scale (NPRS). Analyses used Spearman correlations with bootstrap confidence intervals, Mann-Whitney and Kruskal-Wallis tests with Benjamini-Hochberg control of the false discovery rate, and multivariable linear models with HC3 heteroscedasticity-consistent standard errors, reported as unstandardized coefficients with 95% confidence intervals.

resultsMean scores were 27.95 (SD, 7.94) for perceived ability to use AI, 21.50 (SD, 5.42) for productivity and 109.92 (SD, 23.77) for practice readiness. Perceived ability to use AI was correlated with productivity (r_s = 0.638, 95% CI 0.529 to 0.727) and with practice readiness (r_s = 0.479, 95% CI 0.363 to 0.580), and productivity was correlated with readiness (r_s = 0.642, 95% CI 0.548 to 0.721). In the adjusted model with HC3 standard errors, each additional point of perceived ability to use AI was associated with 0.38 points of productivity (95% CI 0.28 to 0.49) and 0.80 points of readiness (95% CI 0.45 to 1.14).

conclusionsNurses who rated their ability to use AI more highly also rated their own productivity and practice readiness more highly. The cross-sectional design, convenience sampling, common-method variance and the absence of any objective performance or patient outcome mean that these findings are associations among self-reports.

Indexed as

artificial intelligencecross-sectional studieshealth workforcenursing productivitypractice readinessSaudi Arabiatechnology adoption

Identifiers

PMID42793603
PMCPMC13606050

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.