Journal article
Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
JMIR nursing, v 4(4), pp e31038-e31038
30 Dec 2021
PMID: 34967749
Abstract
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.
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.
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.
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.
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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7 citations in Scopus
Details
- Title
- Exploring Reasons for Delayed Start-of-Care Nursing Visits in Home Health Care: Algorithm Development and Data Science Study
- Creators
- Maryam Zolnoori - Columbia UniversityJiyoun Song - Columbia UniversityMargaret V McDonald - Visiting Nurse Service of New YorkYolanda Barrón - Visiting Nurse Service of New YorkKenrick Cato - Columbia UniversityPaulina Sockolow - Drexel UniversitySridevi Sridharan - Visiting Nurse Service of New YorkNicole Onorato - Visiting Nurse Service of New YorkKathryn H Bowles - Visiting Nurse Service of New YorkMaxim Topaz - Columbia University
- Publication Details
- JMIR nursing, v 4(4), pp e31038-e31038
- Grant note
- R01 NR018831 / NINR NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Health Sciences
- Scopus ID
- 2-s2.0-85136754267
- Other Identifier
- 991021867017604721