Score to predict the number of hospitalization days in a general ward at atertiary hospital
Although most usual admissions to hospital are in rooms in general wards, there are not scores to predict the number of hospitalization days in this area. The patients are located based on diagnosis at admission. Aim: to make scores who predict the number of hospitalization days in the general wards...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | Artículo revista |
Lenguaje: | Español |
Publicado: |
Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
2020
|
Materias: | |
Acceso en línea: | https://revistas.unc.edu.ar/index.php/med/article/view/27685 |
Aporte de: |
id |
I10-R10-article-27685 |
---|---|
record_format |
ojs |
institution |
Universidad Nacional de Córdoba |
institution_str |
I-10 |
repository_str |
R-10 |
container_title_str |
Revistas de la UNC |
language |
Español |
format |
Artículo revista |
topic |
score hospitalization days medical auditory estadía GRD auditoria médica score |
spellingShingle |
score hospitalization days medical auditory estadía GRD auditoria médica score Belletti, Gerardo A Enders, Julio Serra, Gustavo Yorio, Marcelo A Score to predict the number of hospitalization days in a general ward at atertiary hospital |
topic_facet |
score hospitalization days medical auditory estadía GRD auditoria médica score |
author |
Belletti, Gerardo A Enders, Julio Serra, Gustavo Yorio, Marcelo A |
author_facet |
Belletti, Gerardo A Enders, Julio Serra, Gustavo Yorio, Marcelo A |
author_sort |
Belletti, Gerardo A |
title |
Score to predict the number of hospitalization days in a general ward at atertiary hospital |
title_short |
Score to predict the number of hospitalization days in a general ward at atertiary hospital |
title_full |
Score to predict the number of hospitalization days in a general ward at atertiary hospital |
title_fullStr |
Score to predict the number of hospitalization days in a general ward at atertiary hospital |
title_full_unstemmed |
Score to predict the number of hospitalization days in a general ward at atertiary hospital |
title_sort |
score to predict the number of hospitalization days in a general ward at atertiary hospital |
description |
Although most usual admissions to hospital are in rooms in general wards, there are not scores to predict the number of hospitalization days in this area. The patients are located based on diagnosis at admission. Aim: to make scores who predict the number of hospitalization days in the general wards. Methods: We studied all the patients who were admitted to the Italiano Hospital from march of 2004 to may of 2005 in Cordoba city ( Argentina). The inclusion criteria were: more than 18 years old patients who were admitted for more than 24 hours due to clinical or surgical conditions in general wards. We evaluated 53 variables including background, toxics ,physiologic and demographic data, social reports, nutritional condition, out patients previous consultations at the admission day. Died patients were not included in this score analysis. Results: The number of patients included was 1003. Short hospitalization was considered when the number of the days of the hospitalization was less than 4 days and long hospitalization was more than 5 day in a general ward. We made a score with 11 main variables according to physician clinical perception. The statistical analysis was not significant in each variable studied. When we analyzed the score with 11 of them as a whole, it showed statistical significance. We divided in categories and pointing according to statistic settlements. Minimum pointing: 11; maximum: 33. Showed R2: O,77 ( p: 0,06 ) between pointing and the hospitalization days. Conclusion: The lower scores were related with a high chance of discharge before 5 days. This score may be a simple and feasible tool for the hospital administration and for the prediction of available beds in a general wards.
|
publisher |
Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología |
publishDate |
2020 |
url |
https://revistas.unc.edu.ar/index.php/med/article/view/27685 |
work_keys_str_mv |
AT bellettigerardoa scoretopredictthenumberofhospitalizationdaysinageneralwardatatertiaryhospital AT endersjulio scoretopredictthenumberofhospitalizationdaysinageneralwardatatertiaryhospital AT serragustavo scoretopredictthenumberofhospitalizationdaysinageneralwardatatertiaryhospital AT yoriomarceloa scoretopredictthenumberofhospitalizationdaysinageneralwardatatertiaryhospital AT bellettigerardoa scorepredictordediasdeestanciaparasalacomun AT endersjulio scorepredictordediasdeestanciaparasalacomun AT serragustavo scorepredictordediasdeestanciaparasalacomun AT yoriomarceloa scorepredictordediasdeestanciaparasalacomun |
first_indexed |
2022-08-20T01:27:16Z |
last_indexed |
2022-08-20T01:27:16Z |
_version_ |
1770719056491446272 |
spelling |
I10-R10-article-276852020-03-05T18:50:29Z Score to predict the number of hospitalization days in a general ward at atertiary hospital Score predictor de días de estancia para sala común Belletti, Gerardo A Enders, Julio Serra, Gustavo Yorio, Marcelo A score hospitalization days medical auditory estadía GRD auditoria médica score Although most usual admissions to hospital are in rooms in general wards, there are not scores to predict the number of hospitalization days in this area. The patients are located based on diagnosis at admission. Aim: to make scores who predict the number of hospitalization days in the general wards. Methods: We studied all the patients who were admitted to the Italiano Hospital from march of 2004 to may of 2005 in Cordoba city ( Argentina). The inclusion criteria were: more than 18 years old patients who were admitted for more than 24 hours due to clinical or surgical conditions in general wards. We evaluated 53 variables including background, toxics ,physiologic and demographic data, social reports, nutritional condition, out patients previous consultations at the admission day. Died patients were not included in this score analysis. Results: The number of patients included was 1003. Short hospitalization was considered when the number of the days of the hospitalization was less than 4 days and long hospitalization was more than 5 day in a general ward. We made a score with 11 main variables according to physician clinical perception. The statistical analysis was not significant in each variable studied. When we analyzed the score with 11 of them as a whole, it showed statistical significance. We divided in categories and pointing according to statistic settlements. Minimum pointing: 11; maximum: 33. Showed R2: O,77 ( p: 0,06 ) between pointing and the hospitalization days. Conclusion: The lower scores were related with a high chance of discharge before 5 days. This score may be a simple and feasible tool for the hospital administration and for the prediction of available beds in a general wards. Aunque las internaciones más frecuentes son en sala, no existen scores para predecir días de estancia en ese sector. Los pacientes son clasificados según el diagnóstico de ingreso. Objetivo: elaborar un score para predecir días de estancia en sala común. Métodos: Estudiamos todos los pacientes ingresados al Hospital Italiano desde marzo del 2004 a mayo del 2005 en la ciudad de Córdoba (Argentina). Los criterios de inclusión fueron: pacientes mayores de 18 años, internados por más de 24 horas, no programados, por patologías médicas o quirúrgicas en sala común. Evaluamos 53 variables que incluyeron antecedentes patológicos y tóxicos, variables fisiológicas, datos demográficos, laboratorios, oxigenoterapia, datos sociales, servicio cabecera, condición nutricional y funcional, al ingreso. Los que fallecieron durante la internación no fueron incluidos en el análisis del score. Resultados: Incluimos 1003 pacientes. Se consideró como internaciones cortas las hospitalizaciones de 4 días o menos y largas las de 5 días o más en sala común. Elaboramos un score con 11 variables, de acuerdo a percepción clínica. El análisis estadístico no fue significativo con cada variable por separado. Cuando analizamos el score con las 11 variables en conjunto mostraron significancía estadística. Subdividimos categorías y puntajes por cortes estadísticos. Puntaje mínimo: 11, máximo 33. Mostraron R2:0,77 (p: 0,06) entre puntaje y días de estancia. Conclusión: Con puntajes bajos, habla de alta probabilidad de egreso antes de 5 días. Este score puede ser una herramienta simple y factible para administración hospitalaria y para la predicción de camas disponibles en sala común. Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología 2020-02-14 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/med/article/view/27685 Revista de la Facultad de Ciencias Médicas de Córdoba.; Vol. 65 No. 1 (2008); 8 - 15 Revista de la Facultad de Ciencias Médicas de Córdoba; Vol. 65 Núm. 1 (2008); 8 - 15 Revista da Faculdade de Ciências Médicas de Córdoba; v. 65 n. 1 (2008); 8 - 15 1853-0605 0014-6722 spa https://revistas.unc.edu.ar/index.php/med/article/view/27685/29112 Derechos de autor 2020 Universidad Nacional de Córdoba |