Association between number of doses per day, number of medications and patient's non-compliance, and frequency of readmissions in a multi-ethnic Asian population

Objective: To investigate whether number of doses per day and number of medications are significantly associated with the number of readmissions and to study the association of readmission frequency with other medical and socio-demographic variables. Methods: Retrospective cross-sectional study invo...

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Bibliographic Details
Main Authors: Ming Ren Toh, Vivien Teo, Yu Heng Kwan, Sreemanee Raaj, Su-Yin Doreen Tan, Joyce Zhen Yin Tan
Format: Article
Language:English
Published: Elsevier 2014-01-01
Series:Preventive Medicine Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2211335514000102
Description
Summary:Objective: To investigate whether number of doses per day and number of medications are significantly associated with the number of readmissions and to study the association of readmission frequency with other medical and socio-demographic variables. Methods: Retrospective cross-sectional study involving 432 patients who were readmitted within 15 days of previous hospital discharge between January 1, 2013 and March 31, 2013. Relevant medical records were collected from the national electronic databases of every public tertiary hospital in Singapore. Significant variables (p < 0.05) were identified using forward selection and modeled using generalized linear mixed models. Results: A total of 649 unplanned readmissions were reviewed. At a multivariable level, number of readmission was significantly associated with the number of medications (p = 0.002) and number of doses per day (p = 0.003) after adjusting for race, liver disease, schizophrenia and non-compliance. Conclusion: Complex medication regimen (i.e. multiple medications and multiple doses per day) is a statistically significant predictor of number of readmissions. Simplifying therapeutic regimens with alternatives such as longer-acting or fixed-dose combination drugs may facilitate better patient adherence and reduce costly readmissions.
ISSN:2211-3355