ArticleBMC medical informatics and decision making2022
Evaluation of factors that influenced the length of hospital stay using data mining techniques.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
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- Comparison of Negative Pressure Wound Therapy Systems and Conventional Non-Pressure Dressings on Surgical Site Infection Rate After Stoma Reversal: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of clinical medicine · 2025Review
- Neutrophil-to-lymphocyte ratio, platelets-to-lymphocyte ratio, and red cell distribution width as prognostic indicators for length of hospital stay in pediatric asthma.Saudi medical journal · 2025Article
- Transforming critical care: the digital revolution's impact on intensive care units.Frontiers in digital health · 2025Review
- Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study.Journal of medical Internet research · 2024Article
- Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation.BMC medical informatics and decision making · 2024Article
- Fragmentation of payment systems: an in-depth qualitative study of stakeholders' experiences with the neonatal intensive care payment system in Iran.Health economics review · 2024Article
- Association of Timely Outpatient Follow-Up and Readmission Risk in a Mobile Integrated Health Program.Population health management · 2024Observational
- Improving Clerkship to Enhance Patients' Quality of care (ICEPACQ): a baseline study.BMC health services research · 2024Article
- Assessing the Prognostic Utility of the New Mayo Adhesive Probability Score in East Asian Populations and its Correlation with Metabolic-Associated Fatty Liver Disease.Physiological research · 2024Article
- Postpartum length of hospital stay among obstetric patients in Ibadan, Nigeria.BMC health services research · 2024Article
- Adult psychiatric inpatient admissions and length of stay before and during the COVID-19 pandemic in a large urban hospital setting in Vancouver, British Columbia.Frontiers in health services · 2024Article
- Length of stay and determinants of early discharge and extended stay after cesarean delivery in a resource-limited setting: southern Ethiopia, 2023.Frontiers in global women's health · 2024Article
- A sequential machine learning framework for ICU and hospital length of stay prediction from admission-time data.Digital healthArticle
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundlength of stay (LOS) is the time between hospital admission and discharge. LOS has an impact on hospital management and hospital care functions.
methodsA 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.
resultsThe 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.
conclusionWe 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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