Related Experiment Video
Updated: Jan 6, 2026

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
Published on: January 17, 2025
Predictive model for chaplain taxonomy patterns identified through latent class analysis among infants in a pediatric
Xiaobo Zhong1, Madhu Mazumdar1, Vansh Sharma2,3
1Department of Population Health Science and Policy, Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Abstract:
This study investigated patterns of spiritual care provided to inpatient infants and their parents, based on a taxonomy developed to describe spiritual care activities provided by chaplains. Data from 821 visits with 433 patients were included in the analyses. We applied a data-driven statistical approach, Latent Class Analysis (LCA), to identify patterns of taxonomy items that may be used for spiritual care. Three distinct patterns were identified and a predictive model was built to link a series of predictors to these patterns. Hospital length of stay and whether a visit is an initial or follow-up within an admission were significantly associated with the identified taxonomy patterns. These findings are helpful in understanding predictors and the nature of spiritual care delivery in an inpatient setting with infants. To our knowledge, this is the first application of LCA in research related to healthcare chaplaincy.
Related Concept Videos
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Theory of Romantic Attachment in Adulthood
Socioemotional Development during Infancy
Primary Temperament Types
Theory of Attribution I: Correspondent Inference Theory
Naturalistic Observations
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...

