Evidence map›Paper›PMID 33199104›Full record

ArticleIntensive & critical care nursing2021

Standardisation, multi-measure, data quality and trending: A qualitative study on multidisciplinary perspectives to improve intensive care early mobility monitoring.

Sarina A Fazio, Amy L Doroy, Nicholas R Anderson, Jason Y Adams, Heather M Young

Open access · greenAbstract read
In one paragraph

Article in Intensive & critical care nursing, 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
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

5 authors at 3 institutions in 1 country.

Sarina A FazioDivision of Pulmonary, Critical Care, & Sleep Medicine, School of Medicine, University of California, Davis, USA; Betty Irene Moore School of Nursing, University of California, Davis, Sacramento, USA; Medical ICU, UC Davis Medical Center, UC Davis Health, Sacramento, USA. Electronic address: safazio@ucdavis.edu.
Amy L DoroyMedical ICU, UC Davis Medical Center, UC Davis Health, Sacramento, USA.
Nicholas R AndersonDivision of Health Informatics, School of Medicine, University of California, Davis, Sacramento, USA.
Jason Y AdamsDivision of Pulmonary, Critical Care, & Sleep Medicine, School of Medicine, University of California, Davis, USA; Medical ICU, UC Davis Medical Center, UC Davis Health, Sacramento, USA.
Heather M YoungBetty Irene Moore School of Nursing, University of California, Davis, Sacramento, USA.
University of California, Davis · USUniversity of California Davis Medical Center · USUC Davis Health · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
TRAINING IN COMPARATIVE LUNG BIOLOGY AND MEDICINET32HL007013 · NHLBI · UNIVERSITY OF CALIFORNIA DAVIS · PI Elena Goncharova, Nicholas J. KENYON · 1985 to 2026
$10.1M
NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR001860NHLBI NIH HHS T32 HL007013
6 · The paper itself

Abstract

objectiveTo explore multi-clinician perspectives on intensive care early mobility, monitoring and to assess the perceived value of technology-generated mobility metrics to provide user feedback to inform research, practice improvement, and technology development.

methodsWe performed a qualitative descriptive study. Three focus groups were conducted with critical care clinicians, including nurses (n = 10), physical therapists (n = 8) and physicians (n = 8) at an academic medical centre that implemented an intensive care early mobility programme in 2012. Qualitative thematic analysis was used to code transcripts and identify overarching themes.

findingsAlong with reaffirming the value of performing early mobility interventions, four themes for improving mobility monitoring emerged, including the need for: 1) standardised indicators for documenting mobility; 2) inclusion of both quantitative and qualitative metrics to measure mobility 3) a balance between quantity and quality of data; and 4) trending mobility metrics over time.

conclusionIntensive care mobility monitoring should be standardised and data generated should be high quality, capable of supporting trend analysis, and meaningful. By improving measurement and monitoring of mobility, future researchers can examine the arc of activity that patients in the intensive care unit undergo and develop models to understand factors that influence successful implementation.

Indexed as

Data AccuracyCritical CareEarly AmbulationHumansIntensive Care UnitsQualitative ResearchCritical careEarly mobilityFitness trackersFocus groupsInterdisciplinary researchMeasurementMobilisationNursesPhysical therapistsPhysiciansQualitative

Identifiers

PMID33199104
PMCPMC7987712
OpenAlexW3101612273

What OpenQuestion holds

Textmetadata
LicenceTDM
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.