Evidence map›Paper›PMID 36414419›Full record

ArticleJournal of advanced nursing2023

The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care.

Jiyoun Song, Sena Chae, Kathryn H Bowles, Margaret V McDonald, Yolanda Barrón, Kenrick Cato, Sarah Collins Rossetti, Mollie Hobensack, Sridevi Sridharan, Lauren Evans and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of advanced nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Jiyoun SongColumbia University School of Nursing, New York City, New York, USA.ORCID https://orcid.org/0000-0003-0362-0670
Sena ChaeCollege of Nursing, The University of Iowa, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0002-9136-6176
Kathryn H BowlesDepartment of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA.
Margaret V McDonaldCenter for Home Care Policy & Research, VNS Health, New York, New York City, USA.
Yolanda BarrónCenter for Home Care Policy & Research, VNS Health, New York, New York City, USA.
Kenrick CatoColumbia University School of Nursing, New York City, New York, USA.
Sarah Collins RossettiColumbia University School of Nursing, New York City, New York, USA.
Mollie HobensackColumbia University School of Nursing, New York City, New York, USA.
Sridevi SridharanCenter for Home Care Policy & Research, VNS Health, New York, New York City, USA.
Lauren EvansCenter for Home Care Policy & Research, VNS Health, New York, New York City, USA.
Anahita DavoudiCenter for Home Care Policy & Research, VNS Health, New York, New York City, USA.
Maxim TopazColumbia University School of Nursing, New York City, New York, USA.
VNS Health · USColumbia University · USCity University of New York · USColumbia University Irving Medical Center · USUniversity of Iowa · US

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3M
Homecare-CONCERN: Building risk models for preventable hospitalizations and emergency department visits in homecareR01HS027742 · AHRQ · VISITING NURSE SERVICE OF NEW YORK · PI TOPAZ, MAXIM · 2020 to 2023
$1.5M
AHRQ HHS R01 HS027742NINR NIH HHS P30 NR016587NINR NIH HHS T32 NR007969NINR NIH HHS T32NR007969
6 · The paper itself

Abstract

aimsTo identify clusters of risk factors in home health care and determine if the clusters are associated with hospitalizations or emergency department visits.

designA retrospective cohort study.

methodsThis study included 61,454 patients pertaining to 79,079 episodes receiving home health care between 2015 and 2017 from one of the largest home health care organizations in the United States. Potential risk factors were extracted from structured data and unstructured clinical notes analysed by natural language processing. A K-means cluster analysis was conducted. Kaplan-Meier analysis was conducted to identify the association between clusters and hospitalizations or emergency department visits during home health care.

resultsA total of 11.6% of home health episodes resulted in hospitalizations or emergency department visits. Risk factors formed three clusters. Cluster 1 is characterized by a combination of risk factors related to "impaired physical comfort with pain," defined as situations where patients may experience increased pain. Cluster 2 is characterized by "high comorbidity burden" defined as multiple comorbidities or other risks for hospitalization (e.g., prior falls). Cluster 3 is characterized by "impaired cognitive/psychological and skin integrity" including dementia or skin ulcer. Compared to Cluster 1, the risk of hospitalizations or emergency department visits increased by 1.95 times for Cluster 2 and by 2.12 times for Cluster 3 (all p < .001).

conclusionRisk factors were clustered into three types describing distinct characteristics for hospitalizations or emergency department visits. Different combinations of risk factors affected the likelihood of these negative outcomes. IMPACT: Cluster-based risk prediction models could be integrated into early warning systems to identify patients at risk for hospitalizations or emergency department visits leading to more timely, patient-centred care, ultimately preventing these events. PATIENT OR PUBLIC CONTRIBUTION: There was no involvement of patients in developing the research question, determining the outcome measures, or implementing the study.

Indexed as

Home Care ServicesHospitalizationEmergency Service, HospitalHumansRetrospective StudiesRisk FactorsUnited Statesclinical deteriorationcluster analysishome health carenatural language processingnursing informaticsOmaha systemrisk assessment

Identifiers

PMID36414419
PMCPMC10163408
OpenAlexW4309677998

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.