JMIR Publications

ABSTRACT

Background:

Delayed start-of-care nursing visits in home healthcare (HHC) can result in negative outcomes, such as hospitalization. No previous studies 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:

This study aimed to: 1) develop and test a natural language processing (NLP) algorithm that automatically identifies reasons for delayed visits in HCC free text clinical notes and 2) describe reasons for delayed visits in a large patient sample.

Methods:

This study was conducted at Visiting Nurse Service of New York (VNSNY). We examined data available at 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. 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” (46.3%), followed by “Patient/family request to postpone or refuse some HHC services” (35.5%) and “Administrative or scheduling issues” (18.2%). In 40% of HHC episodes, two 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.