Evidence map›Paper›PMID 40436386›Full record

ArticleNursing & health sciences2025

Acceptance of Innovative Technologies Among Healthcare Professionals-A Cross-Sectional Study.

Sigalit Warshawski, Nava Z Ratzon

Abstract read
In one paragraph

Article in Nursing & health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Sigalit WarshawskiDepartment of Nursing Sciences, Steyer School of Health Professions, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0000-0003-2628-856X
Nava Z RatzonDepartment of Occupational Therapy, Steyer School of Health Professions, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovative technologies play a crucial role in healthcare service delivery, but evidence shows their underuse. The associations between professionals' perceived ease of use, performance expectancy, and educational training in technology usage have been poorly explored across technologies. This study explores the relationship between healthcare professionals' perceived ease of use, performance expectancy, and educational training on technology adoption. A cross-sectional study was conducted among a convenience sample of 183 healthcare profession graduates from an Israeli university. Participants were approached through the university's alumni organization. Pearson correlation coefficients were calculated to measure the associations between the research variables. Stepwise multiple linear regressions were calculated to measure the relationships between the research variables. Findings revealed low technology usage in clinical practice. Significant correlations were found between perceived technology adoption and actual usage. Performance expectancy, the importance of technology training, and professional affiliation explained 28% of the variance in usage. These findings suggest that health administrators and educators should be aware of the role of performance expectancy and previous training in health technologies in promoting and facilitating the future practical usage of these technologies.

Indexed as

Attitude of Health PersonnelHealth PersonnelAdultCross-Sectional StudiesFemaleHumansIsraelMaleMiddle AgedSurveys and Questionnaireshealthcare professionalsinnovative technologiesquantitative methodstechnology adoptiontechnology usage

Identifiers

PMID40436386
PMCPMC12119165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.