Evidence map›Paper›PMID 29724276›Full record

ArticleJournal of nursing measurement2018

Continuity Index Measures in the Acute Care Hospital Setting: An Analytic Review and Tests Using Electronic Health Record Data and Computer Simulation.

Yingwei Yao, Hyochol Ahn, Janet Stifter, Diana J Wilkie, Gail Keenan

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nursing measurement, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yingwei Yao
Hyochol Ahn
Janet Stifter
Diana J Wilkie
Gail Keenan

Funding

Describing, Contrasting, and Visualizing End-of-Life Care in the 21st CenturyR01NR012949 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ANSARI, RASHID, KEENAN, GAIL M · 2011 to 2014
$2.0M
HIT Support for Safe Nursing CareR01HS015054 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KEENAN, GAIL M · 2004 to 2006
$499k
Using an Electronic Health Record to Examine Nurse Continuity and Pressure UR36HS023072 · AHRQ · UNIVERSITY OF ILLINOIS AT CHICAGO · PI STIFTER, JANET · 2014 to 2014
$40k
AHRQ HHS R01 HS015054AHRQ HHS R36 HS023072NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

background and purposeMultiple continuity indexes are available; however, their properties are insufficiently understood for examining the influence of nurse staffing patterns on patient outcomes. We conceptually and analytically examined continuity measures to reveal their properties and relationships with each other and identify potential limitations.

methodsWe examined behavior of continuity indexes as applied to clinical practice data that were collected with the HANDS (Hands-On Automated Nursing Data System) and data from computer simulation.

resultsStudied continuity measures exhibited very different statistical characteristics. Most importantly, many continuity measures contain a length-of-stay dependent term that is uncorrelated with continuity.

conclusionFindings provide a deep understanding of the conceptual foundations and properties of various continuity measures. Using findings, researchers can select proper measures and better interpret analysis outcomes.

Indexed as

Continuity of Patient CareElectronic Health RecordsNursingOutcome Assessment, Health CarePatient AcuityComputer SimulationHospitalsHumansPersonnel Staffing and SchedulingUnited States

Identifiers

PMID29724276
PMCPMC8080955

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Registered trials

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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.