Evidence map›Paper›PMID 34967749›Full record

ArticleJMIR nursing2021

Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study.

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

Abstract read
In one paragraph

Article in JMIR nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Exploring Natural Language Processing through an Exemplar Using YouTube.International journal of environmental research and public health · 2024
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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

10 authors.

Maryam ZolnooriSchool of Nursing, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0003-4484-2990
Jiyoun SongSchool of Nursing, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0003-0362-0670
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, Philadelphia, PA, 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 H 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

backgroundDelayed start-of-care nursing visits in home health care (HHC) can result in negative outcomes, such as hospitalization. No previous studies have investigated why start-of-care HHC nursing visits are delayed, in part because most reasons for delayed visits are documented in free-text HHC nursing notes.

objectiveThe aims of this study were to (1) develop and test a natural language processing (NLP) algorithm that automatically identifies reasons for delayed visits in HHC free-text clinical notes and (2) describe reasons for delayed visits in a large patient sample.

methodsThis study was conducted at the Visiting Nurse Service of New York (VNSNY). We examined data available at the VNSNY on all new episodes of care started in 2019 (N=48,497). An NLP algorithm was developed and tested to automatically identify and classify reasons for delayed visits.

resultsThe performance of the NLP algorithm was 0.8, 0.75, and 0.77 for precision, recall, and F-score, respectively. A total of one-third of HHC episodes (n=16,244) had delayed start-of-care HHC nursing visits. The most prevalent identified category of reasons for delayed start-of-care nursing visits was no answer at the door or phone (3728/8051, 46.3%), followed by patient/family request to postpone or refuse some HHC services (n=2858, 35.5%), and administrative or scheduling issues (n=1465, 18.2%). In 40% (n=16,244) of HHC episodes, 2 or more reasons were documented.

conclusionsTo avoid critical delays in start-of-care nursing visits, HHC organizations might examine and improve ways to effectively address the reasons for delayed visits, using effective interventions, such as educating patients or caregivers on the importance of a timely nursing visit and improving patients' intake procedures.

Indexed as

classificationclinical informaticsclinical notesdelayed start-of-care nursing visiteHealthhome carehome healthcare servicesnatural language processingNLPnursingnursing note

Identifiers

PMID34967749
PMCPMC8759020

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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.