Evidence map›Paper›PMID 33051177›Full record

ArticleJMIR research protocols2020

A Medical Translation Assistant for Non-English-Speaking Caregivers of Children With Special Health Care Needs: Proposal for a Scalable and Interoperable Mobile App.

Emre Sezgin, Garey Noritz, Jeffrey Hoffman, Yungui Huang

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Who really decides? Feeding decisions 'made' by caregivers of children with cerebral palsy.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2024
    Article
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  5. 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

4 authors at 1 institution in 1 country.

Emre SezginNationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-8798-9605
Garey NoritzNationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-7308-3810
Jeffrey HoffmanNationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-4632-4943
Yungui HuangNationwide Children's Hospital, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-3265-9902
Nationwide Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunication and comprehension of medical information are known barriers in health communication and equity, especially for non-English-speaking caregivers of children with special health care needs.

objectiveThe objective of this proposal was to develop an interoperable and scalable medical translation app for non-English-speaking caregivers to facilitate the conversation between provider and caregiver/patient.

methodsWe employed user-centered and participatory design methods to understand the problems and develop a solution by engaging the stakeholder team (including caregivers, physicians, researchers, clinical informaticists, nurses, developers, nutritionists, pharmacists, and interpreters) and non-English-speaking caregiver participants.

resultsConsidering the lack of interpreter service accessibility and advancement in translation technology, our team will develop and test an integrated, multimodal (voice-interactive and text-based) patient portal communication and translation app to enable non-English-speaking caregivers to communicate with providers using their preferred languages. For this initial prototype, we will focus on the Spanish language and Spanish-speaking families to test technical feasibility and evaluate usability.

conclusionsOur proposal brings a unique perspective to medical translation and communication between caregiver and provider by (1) enabling voice entry and transcription in health care communications, (2) integrating with patient portals to facilitate caregiver and provider communications, and (3) adopting a translation verification model to improve accuracy of artificial intelligence-facilitated translations. Expected outcomes include improved health communications, literacy, and health equity. In addition, data points will be collected to improve autotranslation services in medical communications. We believe our proposed solution is affordable, interoperable, and scalable for health systems.

Indexed as

caregiver-provider communicationmedical translationmobile apppediatricsspecial health care needs

Identifiers

PMID33051177
PMCPMC7593854
OpenAlexW3083486770

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.