Medical Care Delivery at the XXVII World Summer Universiade Kazan 2013

Author(s):  
Timur Mishakin ◽  
Elena Razumovskaya ◽  
Michael Popov ◽  
Olga Berdnikova
Keyword(s):  
2018 ◽  
Vol 5 (3) ◽  
pp. 145-154
Author(s):  
M. Yu. Rykov ◽  
I. N. Inozemtsev ◽  
S. A. Kolomenskaya

Background.Analysis of medical care delivery for children with cancer in armed conflict is highly important because the high-tech treatment in this context is extraordinary difficult and challenging task. Objective. Our aim was to analyze the morbidity and mortality rates in children with malignant tumors, to assess the pediatric patient capacity and medical service density in the Donetsk People’s Republic.Methods.The ecological study was conducted where the units of analysis were represented by the aggregated data of the Republican Cancer Registry on the number of primary and secondary patients with malignant and benign tumors, the deceased patients in the DNR in 2014–2017, pediatric patient capacity, and medical service density.Results.The number of pediatric patient capacity for children with cancer was 10 (0.27 per 10,000 children aged 0–17), pediatric patient capacity for children with hematological disorders — 40 (1.37 per 10,000 children aged 0–17). The treatment of children with cancer was performed by 5 healthcare providers: 1 pediatric oncologist (0.02 per 10,000 children aged 0–17), 3 hematologists (0.08 per 10,000 pediatric population aged 0–17), and 1 practitioner who did not have a specialist certificate in oncology. Morbidity rate for malignant neoplasms from 2014 to 2017 decreased by 25% (in 2014 — 9.6 per 10,000 children aged 0–17; in 2017 — 7.2). In the morbidity structure, the incidence proportion of hemoblastoses was 68.4%, brain tumors — 2.6%, other solid tumors — 29%. The death rate due to malignant neoplasms decreased by 37% (in 2014 — 2.7; in 2017 — 1.7).Conclusion.Low levels of the incidence rate and pattern of morbidity indicate defects in the identification and recording of patients. This explains the performance of the bed: low average bed occupancy per year and low turnover. For a reliable analysis of mortality statistical data is not available: in 2014–2015 only the number of in-hospital deceased patients is presented. Limited data is due to the lack of reliable patient catamnesis which is explained by the high rate of population migration. 


2018 ◽  
Vol 26 (24) ◽  
pp. 872-880 ◽  
Author(s):  
Xavier Duralde ◽  
Troy Jones ◽  
Timothy Griffith

Author(s):  
V. I. STARODUBOV ◽  
V. I. PERHOV ◽  
F. N. KADYROV ◽  
D. S. YANKEVICH

2011 ◽  
pp. 1574-1580
Author(s):  
Michele Masucci

E-health has rapidly gained attention as a framework for understanding the relationship between using information and communication technologies (ICTs) to promote individual and community health, and using ICTs for improving the management of health care delivery systems. The use of e-collaborative tools is implicit to the delivery and access of e-health. Development of the capacity to transmit and receive digital diagnostic images, use video telecommunications for supporting the remote delivery of specialized care and surgical procedures, and the use of e-communication technologies to support logistical elements of medical care (such as scheduling appointments, filling prescriptions, and responding to patient questions) are just a few ways in which e-communications are transforming how medical care is embedded within institutional, organizational, family, and community settings. The emerging field of e-collaboration focuses attention on the need for society to critically examine how electronic communication technologies facilitate, shape, and transform the ways in which organizations, groups, and communities interact. There are many works that explain how to (a) develop e-health systems, (b) assess the use of such systems, and (c) analyze the health outcomes that can be achieved with effective e-health applications (Brodie et al., 2000; Eder, 2000; Spil & Schuring, 2006). Less attention has been paid to how advances in e-collaboration research might inform e-health applications development and scholarly discourse. Because of this gap in the literature, few discussions pertain to understanding patient perspectives about the advantages and disadvantages that may result from rapidly emerging interconnections among access to health care, health information, health support systems, and ICTs (Berland et al., 2001; Hesse et al., 2005; Gibbons, 2005; Gilbert & Masucci, 2006).


Author(s):  
Michele Masucci

E-health has rapidly gained attention as a framework for understanding the relationship between using information and communication technologies (ICTs) to promote individual and community health, and using ICTs for improving the management of health care delivery systems. The use of e-collaborative tools is implicit to the delivery and access of e-health. Development of the capacity to transmit and receive digital diagnostic images, use video telecommunications for supporting the remote delivery of specialized care and surgical procedures, and the use of e-communication technologies to support logistical elements of medical care (such as scheduling appointments, filling prescriptions, and responding to patient questions) are just a few ways in which e-communications are transforming how medical care is embedded within institutional, organizational, family, and community settings.


1976 ◽  
Vol 294 (8) ◽  
pp. 426-431 ◽  
Author(s):  
Sidney R. Garfield ◽  
Morris F. Collen ◽  
Robert Feldman ◽  
Krikor Soghikian ◽  
Robert H. Richart ◽  
...  

2010 ◽  
Vol 36 (1) ◽  
pp. 7-78 ◽  
Author(s):  
Allison K. Hoffman

AbstractThe 2010 federal health insurance reform act includes an individual mandate that will require Americans to carry health insurance. This article argues that even if the mandate were to catalyze universal health insurance coverage, it will fall short on some of the policy objectives many hope to achieve through a mandate if implemented in a fragmented insurance market. To uncover this problem, this article sets forth a novel framework that disentangles three different policy objectives the individual mandate can serve. Namely, supporters of the mandate might hope for it to: (1) facilitate greater health and financial security for the uninsured (“paternalism”); (2) eliminate inefficiencies in health care delivery and financing (“efficiency”); and/or (3) require the healthy to buy insurance to help fund medical care for the sick (“health redistribution”). Health redistribution — the primary focus of this article — is a shifting of wealth from the healthy to the sick through the mechanism of risk pooling. Many see health redistribution as a means to enable all Americans to more equitably access medical care on the basis of need, rather than on the basis of ability or willingness to pay.Drawing on evidence from the implementation of an individual mandate in Massachusetts's health reform in 2006, this article reveals that the fragmented American health insurance market will thwart the mandate's ability to achieve these objectives— in particular the goal of health redistribution. Fragmentation is an atomization of the insurance market into numerous risk pools that has been driven by market competition and regulation. It prevents Americans from sharing broadly in the risk of poor health and, in doing so, entrenches a system where access to medical care remains tied to ability to pay and individualized characteristics. The final section of this article examines how various policies, including some in the new law (e.g., insurance regulation and exchanges) and others not (e.g., expanded public insurance), can reduce fragmentation so that the mandate can successfully serve all desired objectives and in the process gain greater legitimacy over time.


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