NDLI: Using survival models to analyze the effects of social attributes on length of stay of stroke patients

Content Provider	IEEE Xplore Digital Library
Author	Chee-Keong Kwoh Kheng-Hock Lee Truc-Viet Le
Copyright Year	2009
Description	Author affiliation: School of Computer Engineering, Nanyang Technological University, Blk N4 #2A-32, Nanyang Avenue, Singapore 639798 (Chee-Keong Kwoh)
Abstract	Hospital length of stay (LOS) is a widely accepted indicator of hospital activity and performance of clinical care. We have collected and analyzed data on LOS of 4,086 stroke patients discharged from the Singapore General Hospital (SGH) for the duration 2004–2007. We chose to study stroke patients' data because stroke is an important chronic disease which requires significant social support and healthcare resources. We used survival analysis to study the effects of social attributes on LOS, using discharge from hospital as the time to event. Gender, age, ethnicity and subsidy status were studied as covariates. We discovered that old age increases the probability of long stay. Indian race decreases the probability of stay while Other makes the patient stay longer as compared to Chinese. Patients who were not fee-subsidized have lower chances of stay than those who were. Gender and Malay race did not have a significant effect on the stay probability. The effects of ethnicity and paying status on LOS reflect the influences of cultural environment and socioeconomic status. This demonstrates the importance of social determinants on healthcare and their consequent effects on the utilization of healthcare resources.
Starting Page	1
Ending Page	5
File Size	222066
Page Count	5
File Format	PDF
ISBN	9781424447633
DOI	10.1109/ICBPE.2009.5384062
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Hospitals Medical services Length measurement Hazards Performance analysis Random variables Resource management Cultural differences Diseases
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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