StrokeNCT06704997
Machine Learning to Predict Factors Affecting Rehabilitation Length of Stay and Healthcare Costs for Neurological Rehabilitation
An observational study of Stroke and Acquired Brain Injury, run by Tan Tock Seng Hospital at 1 site in Singapore.
Trial 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. Read more about this study
- Who is it for?
- Ages 21 to 100 years
- Conditions the study is for
- Stroke, Acquired Brain Injury, Traumatic Brain Injury
- How many people
- 10,000 participants
- Where
- 1 siteSingapore
- Study dates
- 1 Jun 2024to 31 Dec 2027
- Phase
- Observational
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 21 to 100 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients who have admitted to the rehabilitation ward during their inpatient episode for neurological rehabilitation.
Who may be able to join
- All patients who completed inpatient rehabilitation with the index conditions in their discharge summaries
Who cannot join
- Did not complete inpatient rehabilitation as they are discharged against medical advice
Trial locations and contacts
1 site in 1 country.
About this study
Official title: 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.
Read the 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.
- Conditions
- Stroke, Acquired Brain Injury, Traumatic Brain Injury, Brain Tumor, Central Nervous System Infections, Polytrauma
- Keywords
- Rehabilitation, Length of Stay, Stroke, Traumatic Brain Injury, Brain tumour, Cancer, Trauma, Acquired Brain Injury, Healthcare, Hospitalisation costs
- Medical subject headings
- Stroke, Brain Injuries, Brain Injuries, Traumatic, Brain Neoplasms, Central Nervous System Infections, Multiple Trauma, Neoplasms, Wounds and Injuries
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| 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 being measured
The primary outcome is the main question the study is designed to answer.
Rehabilitation length of stay
Duration of which patient is admitted to and discharge from the rehabilitation ward.
Measured: 1998-2022
Hospital bill
Bill size of patient's stay in the rehabilitation ward, including subsidies, insurance and copayment.
Measured: 2012-2022
Housing type
Type of housing to look at the socio-economics status of the patients.
Measured: 2014-2023
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Nov 2024
- Study start1 Jun 2024
- Primary completion31 Dec 2026 (estimated)
- Study completion31 Dec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for StrokeStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 10,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Tan Tock Seng Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Chua Sui Geok, Karen, Tan Tock Seng Hospital
- Investigators
- Dr Karen Chua, MBBS, Principal investigator, Tan Tock Seng Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06704997
- Sponsor's protocol ID
- DSRB 2023/00873
- Status last verified
- Oct 2026
- First submitted
- 22 Nov 2024
- Last updated
- 7 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: PI need to verify the quality of the data as extraction will involve accessing Ministry of Health government website to obtain deidentified data set