Evidence map›Paper›PMID 41385717›Full record

Observational studyJMIR nursing2025

Sociotechnical Needs of Registered Nurses in the Heart Failure Hospitalizations of African American Patients: Cross-Sectional Study.

Tremaine Brueon Williams, Milan Bimali, Maryam Y Garza, Pearman Parker, Chase Paladino-Vaden, Emel Seker, Alisha Crump, Randy Rice, Latrina Prince, Taren Massey-Swindle and 1 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR nursing, 2025. 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. 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

11 authors.

Tremaine Brueon Williams *Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72223, United States, 1 501 603 1766.ORCID 0000-0003-4902-3038
Milan Bimali *Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, United States.ORCID 0000-0002-4446-3977
Maryam Y GarzaDepartment of Population Health Sciences, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID 0000-0002-2652-5935
Pearman ParkerCollege of Nursing, University of Arkansas for Medical Sciences, Little Rock, AR, United States.ORCID 0000-0003-1832-0945
Chase Paladino-VadenCardiovascular Service Line, Integrated Clinical Enterprise, University of Arkansas for Medical Sciences, Little Rock, AR, United States.ORCID 0009-0000-9999-2131
Emel SekerDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72223, United States, 1 501 603 1766.ORCID 0009-0000-4107-7213
Alisha CrumpDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72223, United States, 1 501 603 1766.ORCID 0000-0002-7552-8964
Randy RiceCardiovascular Service Line, Integrated Clinical Enterprise, University of Arkansas for Medical Sciences, Little Rock, AR, United States.ORCID 0009-0008-7853-0868
Latrina PrinceGraduate School, University of Arkansas for Medical Sciences, Little Rock, AR, United States.ORCID 0000-0002-2223-5068
Taren Massey-SwindleDepartment of Pediatrics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States.ORCID 0000-0001-7231-6002
Kevin Wayne SextonDepartment of Surgery, Vanderbilt University, Nashville, TN, United States.ORCID 0000-0002-1460-9867

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
Equitable Standards of Care Delivery in Team-based Risk Stratification of African Americans with Congestive Heart FailureR21NR021063 · NINR · UNIV OF ARKANSAS FOR MED SCIS · PI WILLIAMS, TREMAINE · 2024 to 2024
$407k
NCATS NIH HHS UL1 TR003017NINR NIH HHS R21 NR021063
6 · The paper itself

Abstract

Background: The African American population is disproportionately impacted by congestive heart failure (CHF). The impact includes a hospitalization rate that is 2.5 times higher and a hospital stay that is, on average, a quarter of a day longer compared with Caucasians. Notably, nursing care has been associated with nearly a 30% decrease in hospitalizations and readmissions. Previous studies have demonstrated that registered nurses (RNs), working in conjunction with electronic health record systems to conduct care tasks, may optimize length of stay in African Americans with CHF. Objective: This study aimed to identify the needs of RNs who performed sociotechnical tasks, the perceived importance of these sociotechnical tasks, and the perceived performance of these tasks by RNs, in relation to the length of stay of their African American patients with CHF. Methods: The study used an observational, cross-sectional survey design in RNs who were randomly selected from a total population of 3498 RNs who provided care to 22,703 African American patients with CHF within 113,543 heart failure hospitalizations between January 1, 2015, and January 1, 2024. The RNs were retrospectively stratified into 2 groups based on EHR data: those whose African American patients had a mean length of stay of 10 days or less (Group A) and those whose mean length of stay was greater than 10 days (Group B). Descriptive statistics, Cohen d, and a 2-sided unpaired t test were used to analyze the data. Results: The total sample of 200 RNs responded to the survey (100% survey completion rate). Group A (100 RNs) reported the least important task as drawing conclusions about how to use the EHR to care for African American patients (mean 4.66, SD 1.82). The least important task in Group B (100 RNs) was reading published research on African American patients (mean 4.88, SD 1.70). Group A reported performing best in caring for African American patients (mean 5.61, SD 1.44). Group B reported performing best at caring for all patients (mean 5.86, SD 1.04). A total of 17 significant sociotechnical needs were identified among groups. In total, 2 sociotechnical needs were unique to group B: caring for patients (ie, the full scope of social and technological processes in nursing care; Cohen d=0.32, 95% CI 0.04-0.59; P=.04) and working with information related to a patient's CHF in the EHR (eg, laboratory results, discharge summaries, or radiographic images) to care for the patient (Cohen d=0.33, 95% CI 0.05-0.61; P=.03). Conclusions: Lengths of patient stay may be reduced by identifying and addressing sociotechnical needs through targeted training, nursing care interventions, and RN-led risk stratification guidelines for working with EHRs to reduce lengths of stay in those who are disproportionately impacted by CHF.

Indexed as

Black or African AmericanHeart FailureHospitalizationNursing Staff, HospitalAdultAgedCross-Sectional StudiesElectronic Health RecordsFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesEHRelectronic health recordhealth disparitiesheart failurehuman factorsregistered nursessocio-technical

Identifiers

PMID41385717
PMCPMC12700336

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.