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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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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. |
format | Online Article Text |
id | pubmed-8759020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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