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

BACKGROUND: Delayed 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...

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Autores principales: Zolnoori, Maryam, Song, Jiyoun, McDonald, Margaret V, Barrón, Yolanda, Cato, Kenrick, Sockolow, Paulina, Sridharan, Sridevi, Onorato, Nicole, Bowles, Kathryn H, Topaz, Maxim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759020/
https://www.ncbi.nlm.nih.gov/pubmed/34967749
http://dx.doi.org/10.2196/31038
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author Zolnoori, Maryam
Song, Jiyoun
McDonald, Margaret V
Barrón, Yolanda
Cato, Kenrick
Sockolow, Paulina
Sridharan, Sridevi
Onorato, Nicole
Bowles, Kathryn H
Topaz, Maxim
author_facet Zolnoori, Maryam
Song, Jiyoun
McDonald, Margaret V
Barrón, Yolanda
Cato, Kenrick
Sockolow, Paulina
Sridharan, Sridevi
Onorato, Nicole
Bowles, Kathryn H
Topaz, Maxim
author_sort Zolnoori, Maryam
collection PubMed
description BACKGROUND: Delayed 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. OBJECTIVE: The 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. METHODS: This 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. RESULTS: The 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. CONCLUSIONS: To 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.
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spelling pubmed-87590202022-02-03 Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study Zolnoori, Maryam Song, Jiyoun McDonald, Margaret V Barrón, Yolanda Cato, Kenrick Sockolow, Paulina Sridharan, Sridevi Onorato, Nicole Bowles, Kathryn H Topaz, Maxim JMIR Nurs Original Paper BACKGROUND: Delayed 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. OBJECTIVE: The 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. METHODS: This 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. RESULTS: The 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. CONCLUSIONS: To 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. JMIR Publications 2021-12-30 /pmc/articles/PMC8759020/ /pubmed/34967749 http://dx.doi.org/10.2196/31038 Text en ©Maryam Zolnoori, Jiyoun Song, Margaret V McDonald, Yolanda Barrón, Kenrick Cato, Paulina Sockolow, Sridevi Sridharan, Nicole Onorato, Kathryn H Bowles, Maxim Topaz. Originally published in JMIR Nursing (https://nursing.jmir.org), 30.12.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Nursing, is properly cited. The complete bibliographic information, a link to the original publication on https://nursing.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zolnoori, Maryam
Song, Jiyoun
McDonald, Margaret V
Barrón, Yolanda
Cato, Kenrick
Sockolow, Paulina
Sridharan, Sridevi
Onorato, Nicole
Bowles, Kathryn H
Topaz, Maxim
Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
title Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
title_full Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
title_fullStr Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
title_full_unstemmed Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
title_short Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
title_sort exploring reasons for delayed start-of-care nursing visits in home health care: algorithm development and data science study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759020/
https://www.ncbi.nlm.nih.gov/pubmed/34967749
http://dx.doi.org/10.2196/31038
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