Evidence map›Paper›PMID 33480855›Full record

ArticleJMIR research protocols2021

Improving Patient Prioritization During Hospital-Homecare Transition: Protocol for a Mixed Methods Study of a Clinical Decision Support Tool Implementation.

Maryam Zolnoori, Margaret V McDonald, Yolanda Barrón, Kenrick Cato, Paulina Sockolow, Sridevi Sridharan, Nicole Onorato, Kathryn Bowles, Maxim Topaz

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04136951 (Improving Patient Prioritization During Hospital-homecare Transition), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT04136951 nacompletednot on this mapstarted 2023, after this paper: background citation

Improving Patient Prioritization During Hospital-homecare Transition: A Mixed Methods Study of a Clinical Decision Support Tool

TypeinterventionalSponsorColumbia UniversityRan2023 to 2024Enrolled1,915ConditionsDiabetes Mellitus, Type 2, Congestive Heart Failure, Obstructive Pulmonary Disease, DyspneaArmsPREVENT clinical decision support
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

9 authors.

Maryam ZolnooriSchool of Nursing, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0003-4484-2990
Margaret V McDonaldCenter for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, United States.ORCID https://orcid.org/0000-0003-1045-0956
Yolanda BarrónCenter for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, United States.ORCID https://orcid.org/0000-0002-7064-937X
Kenrick CatoSchool of Nursing, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0002-0704-3826
Paulina SockolowCollege of Nursing and Health Professions, Drexel University, Drexel, NY, United States.ORCID https://orcid.org/0000-0003-0786-1367
Sridevi SridharanCenter for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, United States.ORCID https://orcid.org/0000-0002-6674-4315
Nicole OnoratoCenter for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, United States.ORCID https://orcid.org/0000-0002-0466-6147
Kathryn BowlesCenter for Home Care Policy & Research, Visiting Nurse Service of New York, New York, NY, United States.ORCID https://orcid.org/0000-0001-7740-5725
Maxim TopazSchool of Nursing, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0002-2358-9837

Funding

Improving patient prioritization during hospital-homecare transition: A mixed methods study of a clinical decision support toolR01NR018831 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TOPAZ, MAXIM · 2019 to 2021
$2.0M
NINR NIH HHS R01 NR018831
6 · The paper itself

Abstract

backgroundHomecare settings across the United States provide care to more than 5 million patients every year. About one in five homecare patients are rehospitalized during the homecare episode, with up to two-thirds of these rehospitalizations occurring within the first 2 weeks of services. Timely allocation of homecare services might prevent a significant portion of these rehospitalizations. The first homecare nursing visit is one of the most critical steps of the homecare episode. This visit includes an assessment of the patient's capacity for self-care, medication reconciliation, an examination of the home environment, and a discussion regarding whether a caregiver is present. Hence, appropriate timing of the first visit is crucial, especially for patients with urgent health care needs. However, nurses often have limited and inaccurate information about incoming patients, and patient priority decisions vary significantly between nurses. We developed an innovative decision support tool called Priority for the First Nursing Visit Tool (PREVENT) to assist nurses in prioritizing patients in need of immediate first homecare nursing visits.

objectiveThis study aims to evaluate the effectiveness of the PREVENT tool on process and patient outcomes and to examine the reach, adoption, and implementation of PREVENT.

methodsEmploying a pre-post design, survival analysis, and logistic regression with propensity score matching analysis, we will test the following hypotheses: compared with not using the tool in the preintervention phase, when homecare clinicians use the PREVENT tool, high-risk patients in the intervention phase will (1) receive more timely first homecare visits and (2) have decreased incidence of rehospitalization and have decreased emergency department use within 60 days. Reach, adoption, and implementation will be assessed using mixed methods including homecare admission staff interviews, think-aloud observations, and analysis of staffing and other relevant data.

resultsThe study research protocol was approved by the institutional review board in October 2019. PREVENT is currently being integrated into the electronic health records at the participating study sites. Data collection is planned to start in early 2021.

conclusionsMixed methods will enable us to gain an in-depth understanding of the complex socio-technological aspects of the hospital to homecare transition. The results have the potential to (1) influence the standardization and individualization of nurse decision making through the use of cutting-edge technology and (2) improve patient outcomes in the understudied homecare setting.

trial registrationClinicalTrials.gov NCT04136951; https://clinicaltrials.gov/ct2/show/NCT04136951. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/20184.

Indexed as

clinical decision support systemeffective implementationhomecare agenciesPREVENTRE-AIM frameworkrehospitalization

Identifiers

PMID33480855
PMCPMC7864770

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Registered trials

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.