Evidence map›Paper›PMID 31595138›Full record

ArticleInternational journal of human-computer interaction2017

Nurses' perceptions of a novel health information technology: A qualitative study in the pediatric intensive care unit.

Onur Asan, Kathryn E Flynn, Laila Azam, Matthew C Scanlon

Open access · greenAbstract read
In one paragraph

Article in International journal of human-computer interaction, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Onur AsanCenter for Patient Care and Outcomes Research, Medical College of Wisconsin, Milwaukee, WI,USA.
Kathryn E FlynnCenter for Patient Care and Outcomes Research, Medical College of Wisconsin, Milwaukee, WI,USA.
Laila AzamDepartment of Public and Community Health, Institute for Health and Society, Medical College of Wisconsin, Milwaukee, WI, USA.
Matthew C ScanlonDepartment of Pediatrics, Division of Critical Care, Medical College of Wisconsin, Milwaukee, WI, USA.
Medical College of Wisconsin · US

Funding

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 HS023626
6 · The paper itself

Abstract

The purpose of this study was to evaluate the use of a novel health information technology (HIT), a large customizable interactive monitor (LCIM), implemented in a pediatric intensive care unit (PICU). Specifically, we explored nurses' perceptions of this novel HIT application and its perceived effect on family engagement. We used a qualitative research design to collect and analyze data from 55 PICU nurses in seven focus groups. A trained moderator followed a semi-structured discussion guide with questions related to perceptions, attitudes, and care team interactions with the LCIM. Groups were audio-recorded, transcribed, and coded using content analysis procedure. Six major themes emerged from the nurse focus groups, which include familiarity and use routines, positive perceptions with the LCIM, negative perceptions with the LCIM, privacy, training, and suggestions for improvement. Insights into nurses' perceptions of the LCIM has the potential to improve family-centered care.

Indexed as

Family engagementHealth information technologyNursing informaticsPatient Facing technologiesPediatrics

Identifiers

PMID31595138
PMCPMC6782057
OpenAlexW2576341426

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.