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

November 26, 2024 updated by: Chua Sui Geok, Karen, Tan Tock Seng Hospital

Machine Learning Predictive Analysis of Key Factors Influencing Rehabilitation Length of Stay (RLOS) and Direct Hospitalization Costs for Neurological Inpatient Rehabilitation at Tertiary Care Hospital

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.

Study Overview

Status

Active, not recruiting

Conditions

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 Type

Observational

Enrollment (Estimated)

10000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Singapore
      • Singapore, Singapore
        • Tan Tock Seng Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients who have admitted to the rehabilitation ward during their inpatient episode for neurological rehabilitation.

Description

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 Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Patients with tertiary neurological rehabilitation
Patients with confirmed diagnosis of stroke, acquired brain injuries, traumatic brain injuries, brain tumours, central nervous system infections and polytrauma from acute neurological or neurosurgical units in Singapore. The cohort will be selected from the TTSH Rehabilitation Centre (TTSH RC) admissions from year 2016 to the present.

What is the study measuring?

Primary Outcome Measures

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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Tan Tock Seng Hospital

Investigators

  • Principal Investigator: Dr Karen Chua, MBBS, Tan Tock Seng Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2024

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

November 22, 2024

First Submitted That Met QC Criteria

November 22, 2024

First Posted (Actual)

November 26, 2024

Study Record Updates

Last Update Posted (Estimated)

November 27, 2024

Last Update Submitted That Met QC Criteria

November 26, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • DSRB 2023/00873

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

PI need to verify the quality of the data as extraction will involve accessing Ministry of Health government website to obtain deidentified data set

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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