<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In-hospital data on colorectal cancer from Romania demonstrate differences from other European countries, especially in the mean age of patients, discharge rates and length of stay. Our study aimed to investigate possible factors that could predict the health outcomes at the discharge of colorectal cancer patients hospitalized in a Romanian county hospital. We retrospectively analysed 9009 colorectal cancer patients from a Romanian County Hospital. The model of binary logistic regression, a stationary or aggravated discharge disposition was associated with patients with age equal or higher than 60 years (p=0.002), the nonretirement status of patients (p=0.004), discharge from a surgical section (p=0.000), a surgical procedure performed during the hospitalization period (p=0.000) and a hospitalization period shorter than seven days (p=0.000). Potentially actionable demographic and hospital-level characteristics can predict colorectal cancer health outcomes of patients at discharge. Knowledge of this information would allow for several strategies that could improve the discharge planning.</p></abstract>

In-hospital data on colorectal cancer from Romania demonstrate differences from other European countries, especially in the mean age of patients, discharge rates and length of stay. Our study aimed to investigate possible factors that could predict the health outcomes at the discharge of colorectal cancer patients hospitalized in a Romanian county hospital. We retrospectively analysed 9009 colorectal cancer patients from a Romanian County Hospital. The model of binary logistic regression, a stationary or aggravated discharge disposition was associated with patients with age equal or higher than 60 years (p=0.002), the nonretirement status of patients (p=0.004), discharge from a surgical section (p=0.000), a surgical procedure performed during the hospitalization period (p=0.000) and a hospitalization period shorter than seven days (p=0.000). Potentially actionable demographic and hospital-level characteristics can predict colorectal cancer health outcomes of patients at discharge. Knowledge of this information would allow for several strategies that could improve the discharge planning.

Predictive Factors of Health Discharge Outcomes for Colorectal Cancer Patients in a Romanian Hospital

“Iuliu Hațieganu” University of Medicine and Pharmacy

Acta Medica Transilvanica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In-hospital data on colorectal cancer from Romania demonstrate differences from other European countries, especially in the mean age of patients, discharge...

Predictive Factors of Health Discharge Outcomes for Colorectal Cancer Patients in a Romanian Hospital

Online veröffentlicht: 03. Aug. 2020

Seitenbereich: 1 - 5

Eingereicht: 21. Apr. 2020

Akzeptiert: 28. Mai 2020

DOI: https://doi.org/10.2478/amtsb-2020-0017

Schlüsselwörter
colorectal cancer, discharge planning, predictive modelling, logistic regression

© 2020 Anamaria Nicoleta Crenguța Petrișor et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Predictive Factors of Health Discharge Outcomes for Colorectal Cancer Patients in a Romanian Hospital

Online veröffentlicht: 03. Aug. 2020

Seitenbereich: 1 - 5

Eingereicht: 21. Apr. 2020

Akzeptiert: 28. Mai 2020

DOI: https://doi.org/10.2478/amtsb-2020-0017

Schlüsselwörtercolorectal cancer, discharge planning, predictive modelling, logistic regression

© 2020 Anamaria Nicoleta Crenguța Petrișor et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
colorectal cancer, discharge planning, predictive modelling, logistic regression