Evidence map›Paper›PMID 31892997›Full record

ArticleWorld journal of emergency medicine2020

Mobile technology: Usage and perspective of patients and caregivers presenting to a tertiary care emergency department.

Zhenghong Liu, Mingwei Ng, Dinesh V Gunasekeran, Huihua Li, Kishanti Ponampalam, R Ponampalam

Abstract read
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Article in World journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Zhenghong LiuSingHealth Emergency Medicine Residency Programme, Singapore Health Services, Singapore.
Mingwei NgSingHealth Emergency Medicine Residency Programme, Singapore Health Services, Singapore.
Dinesh V GunasekeranMinistry of Health Holdings, Singapore.
Huihua LiHealth Services Research Unit, Singapore General Hospital, Singapore.
Kishanti PonampalamUniversity of Newcastle, Australia.
R PonampalamDepartment of Emergency Medicine, Singapore General Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopments in information technology (IT) have driven a push in healthcare innovation in the emergency department (ED). Many of these applications rely on mobile technology (MT) such as smartphones but not everyone is comfortable with MT usage. Our study aims to characterize the technology usage behavior of users in the ED so as to guide the implementation of IT interventions in the ED.

methodsA cross-sectional survey was conducted in the emergency department of a tertiary hospital. Patients and their caregivers aged 21 and above were recruited. The survey collected demographic information, technology usage patterns, and participant reported comfort level in the usage of MT. We performed descriptive statistics and multivariate logistic regression to identify factors differentially associated with comfort in usage of MT.

resultsA total of 498 participants were recruited, and 299 (60%) were patients. English was the most commonly written and read language (66.9%) and 64.2% reported a comfort level of 3/5 or more in using MT. Factors that were associated with being comfortable in using MT include having a tertiary education, being able to read and write English, as well as being a frequent user of IT. Caregivers were more likely to display these characteristics.

conclusionA large proportion of ED patients are not comfortable in the usage of MT. Factors that predicted comfort level in the usage of MT were common amongst caregivers. Future interventions should take this into consideration in the design of MT interventions.

Indexed as

Emergency departmentInformation technologyMobile health technology

Identifiers

PMID31892997
PMCPMC6885587

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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.