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Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study

BACKGROUND: As healthcare expenditure and utilization continue to rise, understanding key drivers of hospital expenditure and utilization is crucial in policy development and service planning. This study aims to investigate micro drivers of hospital expenditure and length of stay (LOS) in an Academi...

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Autores principales: Rahman, Nabilah, Ng, Sheryl Hui-Xian, Ramachandran, Sravan, Wang, Debby D., Sridharan, Srinath, Tan, Chuen Seng, Khoo, Astrid, Tan, Xin Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604431/
https://www.ncbi.nlm.nih.gov/pubmed/31266515
http://dx.doi.org/10.1186/s12913-019-4248-1
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author Rahman, Nabilah
Ng, Sheryl Hui-Xian
Ramachandran, Sravan
Wang, Debby D.
Sridharan, Srinath
Tan, Chuen Seng
Khoo, Astrid
Tan, Xin Quan
author_facet Rahman, Nabilah
Ng, Sheryl Hui-Xian
Ramachandran, Sravan
Wang, Debby D.
Sridharan, Srinath
Tan, Chuen Seng
Khoo, Astrid
Tan, Xin Quan
author_sort Rahman, Nabilah
collection PubMed
description BACKGROUND: As healthcare expenditure and utilization continue to rise, understanding key drivers of hospital expenditure and utilization is crucial in policy development and service planning. This study aims to investigate micro drivers of hospital expenditure and length of stay (LOS) in an Academic Medical Centre. METHODS: Data corresponding to 285,767 patients and 207,426 inpatient visits was extracted from electronic medical records of the National University of Hospital in Singapore between 2005 to 2013. Generalized linear models and generalized estimating equations were employed to build patient and inpatient visit models respectively. The patient models provide insight on the factors affecting overall expenditure and LOS, whereas the inpatient visit models provide insight on how expenditure and LOS accumulate longitudinally. RESULTS: Although adjusted expenditure and LOS per inpatient visit were largely similar across socio-economic status (SES) groups, patients of lower SES groups accumulated greater expenditure and LOS over time due to more frequent visits. Admission to a ward class with greater government subsidies was associated with higher expenditure and LOS per inpatient visit. Inpatient death was also associated with higher expenditure per inpatient visit. Conditions that drove patient expenditure and LOS were largely similar, with mental illnesses affecting LOS to a larger extent. These observations on condition drivers largely held true at visit-level. CONCLUSIONS: The findings highlight the importance of distinguishing the drivers of patient expenditure and inpatient utilization at the patient-level from those at the visit-level. This allows better understanding of the drivers of healthcare utilization and how utilization accumulates longitudinally, important for health policy and service planning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4248-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-66044312019-07-12 Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study Rahman, Nabilah Ng, Sheryl Hui-Xian Ramachandran, Sravan Wang, Debby D. Sridharan, Srinath Tan, Chuen Seng Khoo, Astrid Tan, Xin Quan BMC Health Serv Res Research Article BACKGROUND: As healthcare expenditure and utilization continue to rise, understanding key drivers of hospital expenditure and utilization is crucial in policy development and service planning. This study aims to investigate micro drivers of hospital expenditure and length of stay (LOS) in an Academic Medical Centre. METHODS: Data corresponding to 285,767 patients and 207,426 inpatient visits was extracted from electronic medical records of the National University of Hospital in Singapore between 2005 to 2013. Generalized linear models and generalized estimating equations were employed to build patient and inpatient visit models respectively. The patient models provide insight on the factors affecting overall expenditure and LOS, whereas the inpatient visit models provide insight on how expenditure and LOS accumulate longitudinally. RESULTS: Although adjusted expenditure and LOS per inpatient visit were largely similar across socio-economic status (SES) groups, patients of lower SES groups accumulated greater expenditure and LOS over time due to more frequent visits. Admission to a ward class with greater government subsidies was associated with higher expenditure and LOS per inpatient visit. Inpatient death was also associated with higher expenditure per inpatient visit. Conditions that drove patient expenditure and LOS were largely similar, with mental illnesses affecting LOS to a larger extent. These observations on condition drivers largely held true at visit-level. CONCLUSIONS: The findings highlight the importance of distinguishing the drivers of patient expenditure and inpatient utilization at the patient-level from those at the visit-level. This allows better understanding of the drivers of healthcare utilization and how utilization accumulates longitudinally, important for health policy and service planning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4248-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-02 /pmc/articles/PMC6604431/ /pubmed/31266515 http://dx.doi.org/10.1186/s12913-019-4248-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rahman, Nabilah
Ng, Sheryl Hui-Xian
Ramachandran, Sravan
Wang, Debby D.
Sridharan, Srinath
Tan, Chuen Seng
Khoo, Astrid
Tan, Xin Quan
Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
title Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
title_full Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
title_fullStr Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
title_full_unstemmed Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
title_short Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
title_sort drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604431/
https://www.ncbi.nlm.nih.gov/pubmed/31266515
http://dx.doi.org/10.1186/s12913-019-4248-1
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