Xavier Bosch1, Anna Jordán, Alfonso López-Soto. 1. Department of Internal Medicine, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, 08036 Barcelona, Spain. xavbosch@clinic.ub.es
Abstract
PURPOSE: The aim of the present study was to determine whether quick diagnosis units (QDUs) can safely and efficiently avoid emergency department (ED) visits and hospitalizations. PATIENTS AND METHODS: We included a prospective cohort of 4170 consecutive patients and a retrospective cohort of 3030 hospitalized patients. Medical records of hospitalized patients were reviewed to determine whether patients were stable enough for outpatient diagnostic workup. We studied primary care (PC) and ED referral patterns in two 25-month periods. Hospital and QDU costs were analyzed by microcosting techniques, and a survey was evaluated using care preferences. RESULTS: From December 2007 to December 2009, 66% QDU patients were referred from PC to ED and 25% from PC to QDU. From January 2010 to January 2012, 35% QDU patients were referred from PC to ED and 53% from PC to QDU (P < .0001). During the first period, 36% ED patients were referred to QDU and 65% (retrospective cohort) were hospitalized, compared with 64% and 35%, respectively, during the second period (P < .0001). Between 84% and 91% of hospitalized patients were stable for QDU workup, and their hospitalization might have been avoided. Cost per process was €3241.11 in hospitalized patients and €726.47 in QDU patients. Most patients preferred the QDU model and were reluctant to first being transferred to ED. CONCLUSIONS: An increasing number of PC and ED patients were referred to the QDU. Hospitalizations might have been avoided in at least 84% of patients. Although QDU and hospitalization are similarly effective in reaching a diagnosis, the QDU model incurs fewer costs.
PURPOSE: The aim of the present study was to determine whether quick diagnosis units (QDUs) can safely and efficiently avoid emergency department (ED) visits and hospitalizations. PATIENTS AND METHODS: We included a prospective cohort of 4170 consecutive patients and a retrospective cohort of 3030 hospitalized patients. Medical records of hospitalized patients were reviewed to determine whether patients were stable enough for outpatient diagnostic workup. We studied primary care (PC) and ED referral patterns in two 25-month periods. Hospital and QDU costs were analyzed by microcosting techniques, and a survey was evaluated using care preferences. RESULTS: From December 2007 to December 2009, 66% QDU patients were referred from PC to ED and 25% from PC to QDU. From January 2010 to January 2012, 35% QDU patients were referred from PC to ED and 53% from PC to QDU (P < .0001). During the first period, 36% ED patients were referred to QDU and 65% (retrospective cohort) were hospitalized, compared with 64% and 35%, respectively, during the second period (P < .0001). Between 84% and 91% of hospitalized patients were stable for QDU workup, and their hospitalization might have been avoided. Cost per process was €3241.11 in hospitalized patients and €726.47 in QDU patients. Most patients preferred the QDU model and were reluctant to first being transferred to ED. CONCLUSIONS: An increasing number of PC and ED patients were referred to the QDU. Hospitalizations might have been avoided in at least 84% of patients. Although QDU and hospitalization are similarly effective in reaching a diagnosis, the QDU model incurs fewer costs.
Authors: Manuel Quintana-Díaz; Raúl Muñoz-Romo; Susana Gómez-Ramírez; José Pavía; Alberto M Borobia; José A García-Erce; Manuel Muñoz Journal: Blood Transfus Date: 2017-01-24 Impact factor: 3.443
Authors: Xavier Bosch; Carmen Sanclemente-Ansó; Ona Escoda; Esther Monclús; Jonathan Franco-Vanegas; Pedro Moreno; Mar Guerra-García; Neus Guasch; Alfons López-Soto Journal: BMC Cancer Date: 2018-03-12 Impact factor: 4.430
Authors: Xavier Bosch; Ona Escoda; David Nicolás; Emmanuel Coloma; Sara Fernández; Antonio Coca; Alfonso López-Soto Journal: BMC Fam Pract Date: 2014-04-28 Impact factor: 2.497