Home Healthcare Patients With Distinct Psychological, Cognitive, and Behavioral Symptom Profiles and At-Risk Subgroup for Hospitalization and Emergency Department Visits Using Latent Class Analysis

Author:

Min Se Hee1ORCID,Song Jiyoun1,Evans Lauren2,Bowles Kathryn H.23,McDonald Margaret V.2,Chae Sena4,Topaz Maxim125

Affiliation:

1. Columbia University School of Nursing, New York, NY, USA

2. Center for Home Care Policy & Research, Visiting Nurse Service of New York, USA

3. University of Pennsylvania School of Nursing, Philadelphia, USA

4. University of Iowa College of Nursing, USA

5. Data Science Institute, Columbia University, New York, NY, USA

Abstract

One-third of home healthcare patients are hospitalized or visit emergency departments during a 60-day episode of care. Among all risk factors, psychological, cognitive, and behavioral symptoms often remain underdiagnosed or undertreated in older adults. Little is known on subgroups of older adults receiving home healthcare services with similar psychological, cognitive, and behavioral symptom profiles and an at-risk subgroup for future hospitalization and emergency department visits. Our cross-sectional study used data from a large, urban home healthcare organization ( n = 87,943). Latent class analysis was conducted to identify meaningful subgroups of older adults based on their distinct psychological, cognitive, and behavioral symptom profiles. Adjusted multiple logistic regression was used to understand the association between the latent subgroup and future hospitalization and emergency department visits. Descriptive and inferential statistics were conducted to describe the individual characteristics and to test for significant differences. The three-class model consisted of Class 1: “Moderate psychological symptoms without behavioral issues,” Class 2: “Severe psychological symptoms with behavioral issues,” and Class 3: “Mild psychological symptoms without behavioral issues.” Compared to Class 3, Class 1 patients had 1.14 higher odds and Class 2 patients had 1.26 higher odds of being hospitalized or visiting emergency departments. Significant differences were found in individual characteristics such as age, gender, race/ethnicity, and insurance. Home healthcare clinicians should consider the different latent subgroups of older adults based on their psychological, cognitive, and behavioral symptoms. In addition, they should provide timely assessment and intervention especially to those at-risk for hospitalization and emergency department visits.

Funder

Agency for Healthcare Research and Quality

National Institute of Nursing Research

Publisher

SAGE Publications

Subject

General Nursing

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