Evaluación de tres sistemas de ajuste de riesgo como predictores del consumo de medicamentos y productos sanitarios en unidades polivalentes de hospitalización

ABSTRACT Background: The use of medicines and medical supplies is a significant component of health expenditure, linked to healthcare quality and efficient resource allocation. This study aimed to evaluate three risk adjustment systems predictive power of the consumption of medicines and medical sup...

Full description

Saved in:
Bibliographic Details
Published in:Revista española de salud pública 2016-01, Vol.90 (90), p.1-10
Main Authors: Mera Flores, Ana María, del Busto Bonifaz, Sebastián, Bernal Sobrino, José Luis
Format: Article
Language:eng ; spa
Subjects:
Comorbidity
Comorbilidad
Consumos
Diagnosis related groups
Drug utilization
Equipment and supplies
Equipos y suministros de hospitales
Grupos relacionados por el diagnóstico
Hospital
Inpatients
Management information systems
Materials management
Nursing station
Original
Pacientes ingresados
Productos sanitarios
Risk adjustment
Unidades de enfermería
Utilización de medicamentos
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT Background: The use of medicines and medical supplies is a significant component of health expenditure, linked to healthcare quality and efficient resource allocation. This study aimed to evaluate three risk adjustment systems predictive power of the consumption of medicines and medical supplies at polyvalent hospitalization units (PHU). Methods: This is an observational, retrospective study of the resources utilization in PHU between 2010 and 2013. We fitted linear regression models and evaluated their goodness of fit for three different predictors: Charlson Comorbidity Index (CCI), All Patients DRG (AP-DRG) and All Patients Refined DRG (APR-DRG) relative weights, and each one of them corrected by the length of stay. We analyzed hospitalization episodes included in the Minimum Basic Data Set (MBDS) from Fuenlabrada University Hospital. Data about the use of medicines and medical supplies were obtained from pharmacy and supply chain management information systems. Results: Significant correlation was found between the annual consumption and the predictors considered (r=0.879 for CCI; r=0.622 for AP-DRG and r=0.514 for APR-DRG; p
ISSN:1135-5727
2173-9110