Evidence map›Paper›PMID 27846827›Full record

ArticleBMC medical informatics and decision making2016

Nurses' perceptions, acceptance, and use of a novel in-room pediatric ICU technology: testing an expanded technology acceptance model.

Richard J Holden, Onur Asan, Erica M Wozniak, Kathryn E Flynn, Matthew C Scanlon

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–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

25 citing papers in PubMed, 3 syntheses or guidelines 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

5 authors.

Richard J HoldenDepartment of BioHealth Informatics, Indiana University School of Informatics and Computing, Indianapolis, IN, USA.
Onur AsanCenter for Patient Care and Outcomes Research, Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA. oasan@mcw.edu.ORCID 0000-0002-9239-3723
Erica M WozniakCenter for Patient Care and Outcomes Research, Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
Kathryn E FlynnCenter for Patient Care and Outcomes Research, Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
Matthew C ScanlonDepartment of Pediatrics, Division of Critical Care, Medical College of Wisconsin, Milwaukee, WI, USA.

Funding

A Human Factors Approach to Support Older Chronically Ill Patients' Home CareK01AG044439 · NIA · VANDERBILT UNIVERSITY · PI HOLDEN, RICHARD J · 2014 to 2016
$359k
Perception and Use of a Patient Care Window to Improve Care and Family EngagementR21HS023626 · AHRQ · MEDICAL COLLEGE OF WISCONSIN · PI ASAN, ONUR · 2014 to 2015
$300k
AHRQ HHS R21 HS023626NIA NIH HHS K01 AG044439
6 · The paper itself

Abstract

backgroundThe value of health information technology (IT) ultimately depends on end users accepting and appropriately using it for patient care. This study examined pediatric intensive care unit nurses' perceptions, acceptance, and use of a novel health IT, the Large Customizable Interactive Monitor.

methodsAn expanded technology acceptance model was tested by applying stepwise linear regression to data from a standardized survey of 167 nurses.

resultsNurses reported low-moderate ratings of the novel IT's ease of use and low to very low ratings of usefulness, social influence, and training. Perceived ease of use, usefulness for patient/family involvement, and usefulness for care delivery were associated with system satisfaction (R

conclusionsThe findings have implications for research, design, implementation, and policies for nursing informatics, particularly novel nursing IT. Several changes are recommended to improve the design and implementation of the studied IT.

Indexed as

Attitude of Health PersonnelMedical Informatics ApplicationsAdultElectronic Health RecordsFemaleHumansIntensive Care UnitsMaleMiddle AgedNurses, PediatricNursing Staff, HospitalPediatric NursingHuman-computer interactionNursing informaticsPediatric intensive careTechnology acceptance modelUsability

Identifiers

PMID27846827
PMCPMC5109818

What OpenQuestion holds

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LicenceCC BY
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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.