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Evaluation of factors that influenced the length of hospital stay using data mining techniques

BACKGROUND: length of stay (LOS) is the time between hospital admission and discharge. LOS has an impact on hospital management and hospital care functions. METHODS: A descriptive, retrospective study was designed on about 27,500 inpatients between March 2019 and 2020. Required data were collected f...

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Autores principales: Eskandari, Mehrnoosh, Alizadeh Bahmani, Amir Hossein, Mardani-Fard, Heydar Ali, Karimzadeh, Iman, Omidifar, Navid, Peymani, Payam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617362/
https://www.ncbi.nlm.nih.gov/pubmed/36309751
http://dx.doi.org/10.1186/s12911-022-02027-w
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author Eskandari, Mehrnoosh
Alizadeh Bahmani, Amir Hossein
Mardani-Fard, Heydar Ali
Karimzadeh, Iman
Omidifar, Navid
Peymani, Payam
author_facet Eskandari, Mehrnoosh
Alizadeh Bahmani, Amir Hossein
Mardani-Fard, Heydar Ali
Karimzadeh, Iman
Omidifar, Navid
Peymani, Payam
author_sort Eskandari, Mehrnoosh
collection PubMed
description BACKGROUND: length of stay (LOS) is the time between hospital admission and discharge. LOS has an impact on hospital management and hospital care functions. METHODS: A descriptive, retrospective study was designed on about 27,500 inpatients between March 2019 and 2020. Required data were collected from six wards (CCU, ICU, NICU, General, Maternity, and Women) in a teaching hospital. Clinical data such as demographic characteristics (age, sex), type of ward, and duration of hospital stay were analyzed by the R-studio program. Violin plots, bar charts, mosaic plots, and tree-based models were used to demonstrate the results. RESULTS: The mean age of the population was 40.8 ± 19.2 years. The LOS of the study population was 2.43 ± 4.13 days. About 60% of patients were discharged after staying one day in the hospital. After staying one day in the hospital, 67% of women were discharged. However, 23% of men were discharged within this time frame. The majority of LOS in the CCU, ICU, and NICU ranged from 5 to 9 days.; In contrast, LOS was one day in General, Maternity, and Woman wards. Due to the tree plot, there was a different LOS pattern between Maternity-Women and the CCU-General-ICU-NICU wards group. CONCLUSION: We observed that patients with more severe diseases hospitalized in critical care wards had a longer LOS than those not admitted to critical care wards. The older patient had longer hospital LOS than the younger. By excluding Maternity and Woman wards, LOS in the hospital was comparable between males and females and demonstrated a similar pattern.
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spelling pubmed-96173622022-10-30 Evaluation of factors that influenced the length of hospital stay using data mining techniques Eskandari, Mehrnoosh Alizadeh Bahmani, Amir Hossein Mardani-Fard, Heydar Ali Karimzadeh, Iman Omidifar, Navid Peymani, Payam BMC Med Inform Decis Mak Research BACKGROUND: length of stay (LOS) is the time between hospital admission and discharge. LOS has an impact on hospital management and hospital care functions. METHODS: A descriptive, retrospective study was designed on about 27,500 inpatients between March 2019 and 2020. Required data were collected from six wards (CCU, ICU, NICU, General, Maternity, and Women) in a teaching hospital. Clinical data such as demographic characteristics (age, sex), type of ward, and duration of hospital stay were analyzed by the R-studio program. Violin plots, bar charts, mosaic plots, and tree-based models were used to demonstrate the results. RESULTS: The mean age of the population was 40.8 ± 19.2 years. The LOS of the study population was 2.43 ± 4.13 days. About 60% of patients were discharged after staying one day in the hospital. After staying one day in the hospital, 67% of women were discharged. However, 23% of men were discharged within this time frame. The majority of LOS in the CCU, ICU, and NICU ranged from 5 to 9 days.; In contrast, LOS was one day in General, Maternity, and Woman wards. Due to the tree plot, there was a different LOS pattern between Maternity-Women and the CCU-General-ICU-NICU wards group. CONCLUSION: We observed that patients with more severe diseases hospitalized in critical care wards had a longer LOS than those not admitted to critical care wards. The older patient had longer hospital LOS than the younger. By excluding Maternity and Woman wards, LOS in the hospital was comparable between males and females and demonstrated a similar pattern. BioMed Central 2022-10-29 /pmc/articles/PMC9617362/ /pubmed/36309751 http://dx.doi.org/10.1186/s12911-022-02027-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Eskandari, Mehrnoosh
Alizadeh Bahmani, Amir Hossein
Mardani-Fard, Heydar Ali
Karimzadeh, Iman
Omidifar, Navid
Peymani, Payam
Evaluation of factors that influenced the length of hospital stay using data mining techniques
title Evaluation of factors that influenced the length of hospital stay using data mining techniques
title_full Evaluation of factors that influenced the length of hospital stay using data mining techniques
title_fullStr Evaluation of factors that influenced the length of hospital stay using data mining techniques
title_full_unstemmed Evaluation of factors that influenced the length of hospital stay using data mining techniques
title_short Evaluation of factors that influenced the length of hospital stay using data mining techniques
title_sort evaluation of factors that influenced the length of hospital stay using data mining techniques
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617362/
https://www.ncbi.nlm.nih.gov/pubmed/36309751
http://dx.doi.org/10.1186/s12911-022-02027-w
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