Evidence map›Paper›PMID 38009127›Full record

ArticleExtended abstracts of MobileHCi 2021: the ACM International Conference on Mobile Human-Computer Interaction : mobile apart, mobile together : September 27-Oct. 01, Toulouse. MobileHCI (Conference) (23rd : 2021 : Online)2021

Exploring the Design of Streaming Data Interfaces for Emergency Medical Contexts.

Dolma Yangchen Sherpa, Angela Mastrianni, Aleksandra Sarcevic

Abstract read
In one paragraph

Article in Extended abstracts of MobileHCi 2021: the ACM International Conference on Mobile Human-Computer Interaction : mobile apart, mobile together : September 27-Oct. 01, Toulouse. MobileHCI (Conference) (23rd : 2021 : Online), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Dolma Yangchen SherpaDrexel University.
Angela MastrianniDrexel University.
Aleksandra SarcevicDrexel University.

Funding

Intention-aware Recommender System for Improving Trauma Resuscitation OutcomesR01LM011834 · NLM · CHILDREN'S RESEARCH INSTITUTE · PI BURD, RANDALL S., MARSIC, IVAN · 2014 to 2023
$4.7M
NLM NIH HHS R01 LM011834
6 · The paper itself

Abstract

In this late-breaking work, we describe the design of an interface for displaying streaming vital sign data on a digital checklist used in the emergency medical setting of pediatric trauma resuscitation. We used feedback from interviews and participatory design workshops with clinicians to develop two prototypes of the streaming vital sign interface. We evaluated these prototypes in design-walkthroughs, finding that clinicians preferred the design displaying trend graphs for all four vital signs at once. We discuss how streaming data interfaces on interactive mobile devices can be used to provide situational awareness while unobtrusively supporting different levels of clinical experience.

Indexed as

design principlesdesign walkthroughsdigital checklistinterviewsparticipatory design workshopstrauma resuscitationUser experience (UX) design

Identifiers

PMID38009127
PMCPMC10676242

What OpenQuestion holds

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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.