Active — Not RecruitingNot Applicable

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

Singapore10,000 participantsStarted 2024-06-01

Plain-language 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.

Who can participate

Age range21 Years – 100 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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

What they're measuring

Rehabilitation length of stay

Timeframe: 1998-2022

Hospital bill

Timeframe: 2012-2022

Housing type

Timeframe: 2014-2023

Trial details

NCT IDNCT06704997

SponsorTan Tock Seng Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-12-31

View on ClinicalTrials.gov More Stroke trials