Machine Learning to Predict Factors Affecting Rehabilitation Length of Stay and Healthcare Costs for Neurological Rehabilitation

Active, not recruiting

• Conditions: Stroke; Acquired Brain Injury; Traumatic Brain Injury; Brain Tumor; Central Nervous System Infections; Polytrauma

• Registration Number: NCT06704997
• Lead Sponsor: Tan Tock Seng Hospital

Brief Summary

The aim of this retrospective study is to ascertain total direct costs, rehabilitation length of stay (RLOS) and factors associated with RLOS for neurological inpatient rehabilitation at the tertiary care hospital.

Detailed Description

The aim of the study is to identify factors that influence RLOS and the correlated costs for neurological rehabilitation in tertiary rehab using data extracted from EPIC. It is also aimed to identify the median direct costs to find out the main contributors to the costs in the local population. Lastly, the study aims to utilise artificial intelligence or machine learning to analyse the compiled data to develop a predictive model. The model aspires to understand factors associated with extended RLOS and to predict RLOS of patients who require neurological rehabilitation, aiding preemptive measures.

Study Timeline

• Study Start: 2024-06-01
• Status Verified: 2024-11
• Study First Submitted: 2024-11-22
• Study First Submitted QC: 2024-11-22
• Study First Posted: 2024-11-26
• Last Update Submitted: 2024-11-26
• Last Update Posted: 2024-11-27
• Primary Completion: 2025-12-31
• Study Completion: 2026-12-31

Recruitment & Eligibility

• Status: ACTIVE_NOT_RECRUITING
• Sex: All
• Target Recruitment: 10000

Inclusion Criteria

• All patients who completed inpatient rehabilitation with the index conditions in their discharge summaries

Exclusion Criteria

• Did not complete inpatient rehabilitation as they are discharged against medical advice

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Rehabilitation length of stay	1998-2022	Duration of which patient is admitted to and discharge from the rehabilitation ward.
Hospital bill	2012-2022	Bill size of patient's stay in the rehabilitation ward, including subsidies, insurance and copayment.
Housing type	2014-2023	Type of housing to look at the socio-economics status of the patients.

Trial Locations

Locations (1)

Tan Tock Seng Hospital; 🇸🇬 Singapore, Singapore