Evidence map›Paper›PMID 31984345›Full record

ArticleJAMIA open2019

Evaluating a handheld decision support device in pediatric intensive care settings.

Tera L Reynolds, Patricia R DeLucia, Karen A Esquibel, Todd Gage, Noah J Wheeler, J Adam Randell, James G Stevenson, Kai Zheng

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 5 institutions in 1 country.

Tera L ReynoldsDepartment of Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, California, USA.
Patricia R DeLuciaDepartment of Psychological Sciences, Texas Tech University, Lubbock, Texas, USA.
Karen A EsquibelTexas Tech University Health Sciences Center, Lubbock, Texas, USA.
Todd GageInformMed, Inc., Peoria, Illinois, USA.
Noah J WheelerSimple Interact, Dallas, Texas, USA.
J Adam RandellDepartment of Psychology, University of Central Oklahoma, Edmond, Oklahoma, USA.
James G StevensonCollege of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.
Kai ZhengDepartment of Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, California, USA.
University of California, Irvine · USTexas Tech University · USTexas Tech University Health Sciences Center · USUniversity of Central Oklahoma · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate end-user acceptance and the effect of a commercial handheld decision support device in pediatric intensive care settings. The technology, pac2, was designed to assist nurses in calculating medication dose volumes and infusion rates at the bedside. MATERIALS AND

methodsThe devices, manufactured by InformMed Inc., were deployed in the pediatric and neonatal intensive care units in 2 health systems. This mixed methods study assessed end-user acceptance, as well as pac2's effect on the cognitive load associated with bedside dose calculations and the rate of administration errors. Towards this end, data were collected in both pre- and postimplementation phases, including through ethnographic observations, semistructured interviews, and surveys.

resultsAlthough participants desired a handheld decision support tool such as pac2, their use of pac2 was limited. The nature of the critical care environment, nurses' risk perceptions, and the usability of the technology emerged as major barriers to use. Data did not reveal significant differences in cognitive load or administration errors after pac2 was deployed. DISCUSSION AND

conclusionDespite its potential for reducing adverse medication events, the commercial standalone device evaluated in the study was not used by the nursing participants and thus had very limited effect. Our results have implications for the development and deployment of similar mobile decision support technologies. For example, they suggest that integrating the technology into hospitals' existing IT infrastructure and employing targeted implementation strategies may facilitate nurse acceptance. Ultimately, the usability of the design will be essential to reaping any potential benefits.

Indexed as

alert systemscomputershandheld [L01.224.230.260.550.500]human factors and ergonomics [F02.784.412]implantable [E07.505.254]infusion pumpsmedication errors [E02.319.529]medication [N04.452.515.360.500]

Identifiers

PMID31984345
PMCPMC6951880
OpenAlexW2908263447

What OpenQuestion holds

Textmetadata
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.