Results 21 to 30 of about 1,565,499 (200)

Heterogeneity of European DRG Systems and Potentials for a Common Eurodrg System; Comment on “Cholecystectomy and Diagnosis-Related Groups (DRGs): Patient Classification and Hospital Reimbursement in 11 European Countries” [PDF]

open access: yesInternational Journal of Health Policy and Management, 2015
Diagnosis-Related Group (DRG) systems across Europe are very heterogeneous, in particular because of different classification variables and algorithms as well as costing methodologies. But, given the challenge of increasing patient mobility within Europe,
Alexander Geissler   +2 more
doaj   +1 more source

Profiling the clinical presentation of diagnostic characteristics of a sample of symptomatic TMD patients

open access: yesBMC Oral Health, 2012
Background Temporomandibular disorder (TMD) patients might present a number of concurrent clinical diagnoses that may be clustered according to their similarity.
e Silva Machado Luciana   +3 more
doaj   +1 more source

Common DRG System - the Future of Europe? A Response to Recent Commentary [PDF]

open access: yesInternational Journal of Health Policy and Management, 2015
This is a short piece in response to the “Heterogeneity of European DRG systems and potentials for a common EuroDRG system”1 by Alexander Geissler, Wilm Quentin and Reinhard Busse from the EuroDRG team.
Gerli Paat-Ahi
doaj   +1 more source

Hospital costs associated with psychiatric comorbidities: a retrospective study

open access: yesBMC Health Services Research, 2018
Background Psychiatric comorbidities are relevant for the diagnostic and therapeutic regimes in somatic hospital care. The main aim of this study was to analyse the association between psychiatric comorbidities and hospital costs per inpatient episode. A
Jan Wolff   +3 more
doaj   +1 more source

Organizational and economic aspects of triplet therapy of relapsed/refractory multiple myeloma in the Russian healthcare setting

open access: yesФармакоэкономика, 2021
Background. The introduction of innovative drugs has significantly increased the treatment effectiveness in patients with relapsed/refractory multiple myeloma (RRMM), but the question of whether these expensive options can be financially secured remains ...
E. A. Pyadushkina   +6 more
doaj   +1 more source

The reimbursement system can influence the treatment choice and favor joint replacement versus other less invasive solutions in patients affected by osteoarthritis

open access: yesJournal of Experimental Orthopaedics, 2023
Purpose The aim of this study was to assess how physicians perceive the role of the reimbursement system and its potential influence in affecting their treatment choice in the management of patients affected by osteoarthritis (OA).
Luca De Marziani   +13 more
doaj   +1 more source

Improving the model of payment for medical care for chronic viral hepatitis C in the framework of the implementation of the Program of State Guarantees of Free Provision of Medical Care to Citizens for 2023 and for the planned period of 2024–2025

open access: yesФармакоэкономика, 2023
Background. In 2021, new clinical guidelines for the treatment of chronic hepatitis C virus (HCV) in adults were published that did not contain interferon drug therapy regimens.
V. V. Omelyanovskiy   +9 more
doaj   +1 more source

Path Analysis on Medical Expenditures of 855 Patients with Chronic Kidney Disease in a Hospital in Beijing

open access: yesChinese Medical Journal, 2018
Background: Investigate into the medical expenditures of chronic kidney disease (CKD) patients through path analysis method of three consecutive years within a Grade-A tertiary hospital in Beijing to conduct the main influencing factors in diagnosis ...
Xin Liu   +5 more
doaj   +1 more source

Effects of exposure to PM2.5 and its chemical components on survival of patients with lymphoma

open access: yesBMC Public Health
Background There is accumulating evidence of an association between particulate matter smaller than 2.5 μm (PM2.5) and cancer. However, the impact of air pollution on the survival of lymphoma patients has received little attention.
Changpeng Liu   +7 more
doaj   +1 more source

Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer

open access: yesBMC Public Health
Background Deep learning (DL), a specialized form of machine learning (ML), is valuable for forecasting survival in various diseases. Its clinical applicability in real-world patients with gastric cancer (GC) has yet to be extensively validated.
Mengjie Wu   +9 more
doaj   +1 more source

Home - About - Disclaimer - Privacy