Frontiers in medicine · 2026
Discharge readiness of elderly patients with osteoporotic vertebral compression fractures: a latent profile analysis.
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Liao Ruyu, Chen Lili, Liu Shanhong, Liu Yuanyuan, Yang Yue, Chen Lan
Аннотация
OBJECTIVE: To Identify potential categories of discharge readiness among elderly patients with osteoporotic vertebral compression fractures, and analyze differences across categories.
METHODS: Between January 2025 and April 2025, a total of 356 elderly OVCF patients were included. The following data were collected: general information, the Readiness for Hospital Discharge Scale (RHDS), and the Quality of Discharge Teaching Scale (QDTS). Latent profile analysis and logistic regression were performed.
RESULTS: The mean total score of discharge readiness among 356 elderly OVCF patients was 87.53 ± 16.90. Three latent profiles emerged as the optimal model: "Moderate Discharge Readiness Group" (15.2%), "High Discharge Readiness-Low Personal Status Group" (76.1%), and "Low Discharge Readiness-Low Adaptability Group" (8.7%). Multivariate logistic regression analysis revealed that comorbidities, length of stay in hospital, whether first hospitalization, and QDTS scores were factors influencing the potential discharge readiness profiles among elderly OVCF patients.
CONCLUSION: Discharge readiness among elderly OVCF patients exhibits significant heterogeneity and is influenced by multifactorial, multilevel factors. Clinicians should not view these factors in isolation but rather understand their dynamic interplay across patient groups with varying readiness levels to implement the most targeted intervention strategies.
METHODS: Between January 2025 and April 2025, a total of 356 elderly OVCF patients were included. The following data were collected: general information, the Readiness for Hospital Discharge Scale (RHDS), and the Quality of Discharge Teaching Scale (QDTS). Latent profile analysis and logistic regression were performed.
RESULTS: The mean total score of discharge readiness among 356 elderly OVCF patients was 87.53 ± 16.90. Three latent profiles emerged as the optimal model: "Moderate Discharge Readiness Group" (15.2%), "High Discharge Readiness-Low Personal Status Group" (76.1%), and "Low Discharge Readiness-Low Adaptability Group" (8.7%). Multivariate logistic regression analysis revealed that comorbidities, length of stay in hospital, whether first hospitalization, and QDTS scores were factors influencing the potential discharge readiness profiles among elderly OVCF patients.
CONCLUSION: Discharge readiness among elderly OVCF patients exhibits significant heterogeneity and is influenced by multifactorial, multilevel factors. Clinicians should not view these factors in isolation but rather understand their dynamic interplay across patient groups with varying readiness levels to implement the most targeted intervention strategies.