SynthesisJournal of medical radiation sciences2024
Exploring the use of mobile translation applications for culturally and linguistically diverse patients during medical imaging examinations in Australia - a systematic review.
Synthesis in Journal of medical radiation sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 8 citations in OpenAlex.
- Managing Communication Challenges in Mental Health Care by Using Mobile Translation Apps: Protocol for a Simulation-Based Pilot Study.JMIR research protocols · 2026Article
- Exploring the use of translation technologies to overcome language barriers in mental healthcare: a qualitative cross-country study.International journal for equity in health · 2026Article
- Continuing Professional Development - Medical Imaging.Journal of medical radiation sciences · 2025Article
- Technology-enabled patient care in medical radiation sciences: the two sides of the coin.Journal of medical radiation sciences · 2024Article
- Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years.Bioengineering (Basel, Switzerland) · 2024Review
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Australian healthcare provides services to a vast culturally and linguistically diverse (CALD) population. Professional interpreters are the gold standard for medical interpretation during healthcare interactions with CALD patients with limited English proficiency (LEP). However, accessing interpretation services can be difficult and may not be appropriate when timely translation is needed. Mobile translation applications (MTAs) have been suggested as a way for healthcare workers (HCWs) to provide timely translation when engaging with CALD patients. This systematic review aimed to investigate the potential for MTAs to be used in Australian medical imaging (MI) departments to enhance communication and safety for CALD patients and HCWs. Enablers and limitations of MTAs were appraised for use in MI and important design considerations suggested. Results found that MTAs may enhance communication between CALD patients and MI professionals and uphold safety by more accurately performing procedure matching and healthcare assessments. MTAs also offer readily available translation during out of hours care, emergency scenarios and everyday care. However, reliability of free-input translation and patient confidentiality were flagged as important limitations of MTAs that need to be addressed should a safe MTA be designed for MI purposes. MTAs also need to be designed with consideration for CALD patients who have low literacy levels and mental impairment. Devices should be installed close to the point of care to enable MI professionals to easily retrieve and use the MTA. MTAs used in this way can potentially improve care of CALD patients in MI when professional interpreters are absent.
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.