Evidence map›Paper›PMID 30035147›Full record

ArticleProceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare2018

USE PREFERENCES FOR CONTINUOUS CARDIAC AND RESPIRATORY MONITORING SYSTEMS IN HOSPITALS: A SURVEY OF PATIENTS AND FAMILY CAREGIVERS.

Emily S Patterson, Chris Hritz, Liya Gebru, Kashvi Patel, Todd Yamokoski, Susan D Moffatt-Bruce

Abstract read
In one paragraph

Article in Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare, 2018. 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. Predicting mortality with applied machine learning: Can we get there?Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare · 2019
    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

6 authors.

Emily S PattersonThe Ohio State University Columbus, OH.
Chris HritzThe Ohio State University Columbus, OH.
Liya GebruThe Ohio State University Columbus, OH.
Kashvi PatelThe Ohio State University Columbus, OH.
Todd YamokoskiWexner Ohio State University Medical Center Columbus, OH.
Susan D Moffatt-BruceThe Ohio State University Columbus, OH.

Funding

The Institute for the Design of Environments Aligned for Patient Safety (IDEA4PS)P30HS024379 · AHRQ · OHIO STATE UNIVERSITY · PI MCALEARNEY, ANN SCHECK · 2015 to 2015
$4.0M
AHRQ HHS P30 HS024379
6 · The paper itself

Abstract

The overarching objective of this research is to reduce the burden of 'alert fatigue' on patients and family caregivers who stay overnight in hospitals on units that provide continuous monitoring of cardiac and respiratory systems. When a patient develops respiratory compromise on the medical-surgical units of the hospital, the mortality rate is 29 times higher. Alarms require nurses to quickly respond, even when it is likely a false alarm. An anonymous survey was distributed to patients and family caregivers with 72 responses. Alarm sounds were judged most helpful to detect a high heart rate or unusual rhythm, and less helpful to detect a patient exiting from bed. The expectation was for an immediate response to an alarm, and that it would be annoying to have an alarm go off for hours. There was strong agreement with wanting alarm sounds to go to the nurse, but not be heard in the hospital room by patients or caregivers. Implications of these findings are discussed.

Identifiers

PMID30035147
PMCPMC6051531

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.