Evidence map›Paper›PMID 41767102›Full record

ArticleJournal of clinical and translational science2026

An instrument for measuring the influence of nursing care on the length of stay in heart failure hospitalizations of African Americans.

Tremaine Brueon Williams, Milan Bimali, Pearman Parker, Alisha Crump, Emel Seker, Maryam Y Garza, Melody Greer, Taren Massey-Swindle, Kevin Wayne Sexton

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

9 authors.

Tremaine Brueon WilliamsBiomedical Informatics, University of Arkansas for Medical Sciences, USA.ORCID https://orcid.org/0000-0003-4902-3038
Milan BimaliBiostatistics, University of Arkansas for Medical Sciences, USA.
Pearman ParkerCollege of Nursing, University of Arkansas for Medical Sciences, USA.
Alisha CrumpBiomedical Informatics, University of Arkansas for Medical Sciences, USA.
Emel SekerBiomedical Informatics, University of Arkansas for Medical Sciences, USA.
Maryam Y GarzaDepartment of Population Health Sciences, The University of Texas Health Science Center at San Antonio, USA.
Melody GreerBiomedical Informatics, University of Arkansas for Medical Sciences, USA.
Taren Massey-SwindleDepartment of Pediatrics, University of Arkansas for Medical Sciences, USA.ORCID https://orcid.org/0000-0001-7231-6002
Kevin Wayne SextonDepartment of Surgery, Vanderbilt University Medical Center, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The impact of guideline-directed medical therapy (GDMT) has not fully translated to decreases in the disproportionate rates of hospitalization and lengths of stay in African Americans with congestive heart failure (CHF). GDMT is optimized by registered nurses (RNs) and their use of clinical information. Yet, there are no instruments for measuring the influence of clinical information use and nursing care. The study assessed an instrument's ability to measure the influence of RN performance of social, technical, and socio-technical care tasks on length of stay in the CHF hospitalizations of African Americans. Methods: A sample of 200 RNs, who cared for 5060 African Americans with 14,123 heart failure hospitalizations, were surveyed. Descriptive statistics, Cronbach's alpha, and a generalized linear regression assessed the instrument's reliability and predictive validity. Results: The Cronbach's alpha was 0.95 (95% CI: 0.94-0.96). The corrected item-total correlations for the 22 items ranged from 0.44 to 0.80. For an increase of one to four points per item in a RN's performance, the estimated reductions in the patient's length of stay were 3.34% (6.11,0.5), 6.58% (11.84,1), 9.70% (17.22,1.49), and 12.72% (22.28,1.99), respectively ( Conclusions: Increases in a RN's performance of social, technical, and socio-technical care tasks were significantly associated with clinically meaningful decreases in their patients' length of stay. The instrument has strong potential for addressing the disproportionate impact of CHF by measuring and tailoring interventions to optimize nursing care and the use of clinical information in the provision and receipt of GDMT.

Indexed as

congestive heart failureelectronic health recordshuman factorsregistered nursesSociotechnical

Identifiers

PMID41767102
PMCPMC12936872

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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.