Evidence map›Paper›PMID 34406964›Full record

ArticleJMIR nursing2021

Enabling Nurse-Patient Communication With a Mobile App: Controlled Pretest-Posttest Study With Nurses and Non-English-Speaking Patients.

David Silvera-Tawil, Courtney Pocock, DanaKai Bradford, Andrea Donnell, Jill Freyne, Karen Harrap, Sally Brinkmann

Open access · goldAbstract read
In one paragraph

Article in JMIR nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 11% 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, 3 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
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

7 authors at 2 institutions in 1 country.

David Silvera-Tawil *Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Marsfield, Australia.ORCID https://orcid.org/0000-0003-2653-0141
Courtney Pocock *Western Health, Melbourne, Australia.ORCID https://orcid.org/0000-0003-2720-4057
DanaKai Bradford *Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia.ORCID https://orcid.org/0000-0002-2939-3018
Andrea Donnell *Western Health, Melbourne, Australia.ORCID https://orcid.org/0000-0002-2114-1756
Jill Freyne *Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Marsfield, Australia.ORCID https://orcid.org/0000-0001-7659-0535
Karen Harrap *Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Herston, Australia.ORCID https://orcid.org/0000-0002-6792-2910
Sally Brinkmann *Western Health, Melbourne, Australia.ORCID https://orcid.org/0000-0002-3842-2183
Commonwealth Scientific and Industrial Research Organisation · AUWestern Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing concern regarding the implications of miscommunication in health care settings, the results of which can have serious detrimental impacts on patient safety and health outcomes. Effective communication between nurses and patients is integral in the delivery of timely, competent, and safe care. In a hospital environment where care is delivered 24 hours a day, interpreters are not always available. In 2014, we developed a communication app to support patients' interactions with allied health clinicians when interpreters are not present. In 2017, we expanded this app to meet the needs of the nursing workforce. The app contains a fixed set of phrases translated into common languages, and communication is supported by text, images, audio content, and video content.

objectiveThis study aims to evaluate the efficacy of the communication app to support nursing staff during the provision of standard care to patients from non-English-speaking backgrounds when an interpreter is not available.

methodsThis study used a one-group pretest-posttest sequential explanatory mixed methods research design, with quantitative data analyzed using inferential statistics and qualitative data analyzed via thematic content analysis. A total of 134 observation sessions (82 pretest and 52 posttest) of everyday nurse-patient interactions and 396 app use sessions were recorded. In addition, a total of 134 surveys (82 pretest and 52 posttest) with nursing staff, 7 interviews with patients, and 3 focus groups with a total of 9 nursing staff participants were held between January and November 2017.

resultsIn the absence of the app, baseline interactions with patients from English-speaking backgrounds were rated as more successful (t

conclusionsThrough the use of the app, a number of patients from non-English-speaking backgrounds experienced better provision of standard care, similar to their English-speaking peers. Thus, the app can be seen as contributing to the delivery of equitable health care.

Indexed as

communication barrierdiversityinformation technologyinterpersonal communicationinterpretersmHealthmobile appmobile phonenursing

Identifiers

PMID34406964
PMCPMC8373371
OpenAlexW3169196108

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.