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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doaj-29ee5282c37140d1872231beed0541e02020-11-24T21:47:21ZengElsevierPreventive Medicine Reports2211-33552014-01-011C434710.1016/j.pmedr.2014.10.001Association between number of doses per day, number of medications and patient's non-compliance, and frequency of readmissions in a multi-ethnic Asian populationMing Ren Toh0Vivien Teo1Yu Heng Kwan2Sreemanee Raaj3Su-Yin Doreen Tan4Joyce Zhen Yin Tan5Department of Pharmacy, Faculty of Science, National University of Singapore, Republic of SingaporeDepartment of Pharmacy, Faculty of Science, National University of Singapore, Republic of SingaporeDepartment of Pharmacy, Faculty of Science, National University of Singapore, Republic of SingaporeDepartment of Pharmacy, Faculty of Science, National University of Singapore, Republic of SingaporeDepartment of Pharmacy, Khoo Teck Puat Hospital, Republic of SingaporeDepartment of Pharmacy, Khoo Teck Puat Hospital, Republic of SingaporeObjective: 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.http://www.sciencedirect.com/science/article/pii/S2211335514000102Number of doses per dayPolypharmacyNon-complianceReadmissionsRehospitalizations |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ming Ren Toh Vivien Teo Yu Heng Kwan Sreemanee Raaj Su-Yin Doreen Tan Joyce Zhen Yin Tan |
spellingShingle |
Ming Ren Toh Vivien Teo Yu Heng Kwan Sreemanee Raaj Su-Yin Doreen Tan Joyce Zhen Yin Tan 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 Preventive Medicine Reports Number of doses per day Polypharmacy Non-compliance Readmissions Rehospitalizations |
author_facet |
Ming Ren Toh Vivien Teo Yu Heng Kwan Sreemanee Raaj Su-Yin Doreen Tan Joyce Zhen Yin Tan |
author_sort |
Ming Ren Toh |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
Elsevier |
series |
Preventive Medicine Reports |
issn |
2211-3355 |
publishDate |
2014-01-01 |
description |
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. |
topic |
Number of doses per day Polypharmacy Non-compliance Readmissions Rehospitalizations |
url |
http://www.sciencedirect.com/science/article/pii/S2211335514000102 |
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