Evidence map›Paper›PMID 26325278›Full record

ArticleNursing research

Nurse Continuity and Hospital-Acquired Pressure Ulcers: A Comparative Analysis Using an Electronic Health Record "Big Data" Set.

Janet Stifter, Yingwei Yao, Muhammad Kamran Lodhi, Karen Dunn Lopez, Ashfaq Khokhar, Diana J Wilkie, Gail M Keenan

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PubMed Full text at PMC Publisher
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
9.8field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  14. Implementation of Electronic Health Records in US Nursing Homes.Computers, informatics, nursing : CIN · 2017
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  17. The Need for a Definition of Big Data for Nursing Science: A Case Study of Disaster Preparedness.International journal of environmental research and public health · 2016
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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

7 authors at 1 institution in 1 country.

Janet StifterJanet Stifter, PhD, RN, is Postdoctoral Scholar, College of Nursing, University of Illinois at Chicago. Yingwei Yao, PhD, is Research Associate Professor, College of Nursing, University of Illinois at Chicago, and College of Nursing, University of Florida, Gainesville. Muhammad Kamran Lodhi, BS, is PhD Candidate, University of Illinois at Chicago Electrical and Computer Engineering. Karen Dunn Lopez, PhD, MPH, RN, is Assistant Professor, College of Nursing, University of Illinois at Chicago. Ashfaq Khokhar, PhD, is Professor, Illinois Institute of Technology, Chicago. Diana J. Wilkie, PhD, RN, FAAN, is Earl and Margo Powers Endowed Professor, College of Nursing, University of Florida at Gainesville, and was the Harriet J. Werley Endowed Chair for Nursing Research, College of Nursing, University of Illinois at Chicago. Gail M. Keenan, PhD, RN, FAAN, is Professor and Annabel Jenks Davis Endowed Chair, College of Nursing, University of Florida at Gainesville, and was a Professor, College of Nursing, University of Illinois at Chicago.
Yingwei Yao
Muhammad Kamran Lodhi
Karen Dunn Lopez
Ashfaq Khokhar
Diana J Wilkie
Gail M Keenan
University of Illinois Chicago · US

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
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 1R36HS023072-01AHRQ HHS R36 HS023072NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

backgroundLittle research demonstrating the association between nurse continuity and patient outcomes exists despite an intuitive belief that continuity makes a difference in care outcomes.

objectiveThe aim of this study was to examine the association of nurse continuity with the prevention of hospital-acquired pressure ulcers (HAPU).

methodsA secondary use of data from the Hands on Automated Nursing Data System (HANDS) was performed for this comparative study. The HANDS is a nursing plan of care data set containing 42,403 episodes documented by 787 nurses, on nine units, in four hospitals and includes nurse staffing and patient characteristics. The HANDS data set resides in a "big data" relational database consisting of 89 tables and 747 columns of data. Via data mining, we created an analytic data set of 840 care episodes, 210 with and 630 without HAPUs, matched by nursing unit, patient age, and patient characteristics. Logistic regression analysis determined the association of nurse continuity and additional nurse-staffing variables on HAPU occurrence.

resultsPoor nurse continuity (unit mean continuity index = .21-.42 [1.0 = optimal continuity]) was noted on all nine study units. Nutrition, mobility, perfusion, hydration, and skin problems on admission, as well as patient age, were associated with HAPUs (p < .001). Controlling for patient characteristics, nurse continuity, and the interactions between nurse continuity and other nurse-staffing variables were not significantly associated with HAPU development. DISCUSSION: Patient characteristics including nutrition, mobility, and perfusion were associated with HAPUs, but nurse continuity was not. We demonstrated a high level of variation in the degree of continuity between patient episodes in the HANDS data, showing that it offers rich potential for future study of nurse continuity and its effect on patient outcomes.

Indexed as

AgedAge FactorsBlood CirculationCase-Control StudiesDatabases, FactualData MiningHumansLogistic ModelsMobility LimitationNursing Staff, HospitalNutritional StatusPressure UlcerQuality of Health CareRisk FactorsUnited States

Identifiers

PMID26325278
PMCPMC4692274
OpenAlexW2406241201

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.