Health communication and rhetorical challenges for the anti-smoking policy in Russia
Smoking regulation constitutes a challenging issue for both developed and developing countries that aim to improve their state of public health and constituent wellbeing. Anti-smoking information and communication campaigns accompanying regulation acts can either enhance or sabotage national policy initiatives. This is especially salient in countries like Russia, where smoking is one of the top public health threats and causes of population decline.1 As such, critical analysis of the message effectiveness of Russia’s anti-smoking campaign is warranted. This study employs frame analysis to examine the anti-smoking messages embedded in the sections of Federal Law No. 15 that regulate the information and communication campaigns. The study’s results illustrate that in addition to the lack of a comprehensive, effective public relations campaign promoting smoking cessation, the rhetoric guiding the enforcement of the anti-smoking legislation enforcement is doomed to yield desired results. This study suggests recommendations for reframing existing messages to enable a more comprehensive and effective Russian anti-smoking.
In the internal medicine wide spectrum the gastroenterology is one of the chapters, less enlightened by the scientific evidence. It does not mean that the practice of the grasntroenterology may ot be improved by the systematic use of the approaches of the evidence based medicine
Preface It’s not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change. —Charles Darwin We live in an era of rapid and unprecedented change. Driven by technological innovation and changes in the way we deliver services, the face of healthcare is undergoing a metamorphosis, shifting into a more person-based, technologically enabled, evidence-based, and responsive system. That is the theory, at least. But are health systems that are changing according to these plans heralding transformative change? And what do some of the best thinkers believe is the prole of their health system over the next 5–15 years? We believe this book represents the best attempt yet to answer those thorny questions. Very few people could reach into the health systems of 152 countries and territories and orchestrate a book of this magnitude. Jeffrey Braithwaite, as series editor, accompanied by regional editors, Russell Mannion, Yukihiro Matsuyama, Paul G. Shekelle, Stuart Whittaker, and Samir Al-Adawi, and supported by an extremely knowledgeable team at Macquarie University, Sydney, Australia, particularly Dr. Wendy James and Kristiana Ludlow, were just the team to accomplish this. The omnibus they have created is an invaluable source of predictions about the future scope and shape of health systems across low-, middle-, and highincome countries. It is a treasure trove of important information. People will use it as a practical guide to the future in many ways: it can be read for benet and learning by region, by theme, and by specic case study exemplars of the kinds of reforms people are enacting in their health systems, extrapolated across the medium-term time horizon. Most books do not do this. The fact that this group has been able to achieve this is an endorsement of the skills, efforts, ingenuity, and expertise of the editors, editorial team, and individual chapter authors. We commend this book and recommend it as a must-read to many stakeholder groups: students of the system, policy-makers, planners, futurists, and groups representing managers, clinicians, and patients—in fact, all those who have an interest in healthcare and its future success. We enjoyed dipping xii Preface into it and thinking about its many learning points. We are sure others will too. Wendy Nicklin RN, BN, MSc(A), CHE, FACHE, FISQua, ICD.D President, International Society for Quality in Health Care Clifford F. Hughes AO, MBBS, DSc, FRACS, FACS, FACC, FIACS (Hon), FAAQHC, FCSANZ, FISQua, AdDipMgt, Immediate Past President, International Society for Quality in Health Care
This book contains abstracts and complete papers approved by the Conference Review Committee. Authors are responsible for the content and accuracy.
Free education, public heath care and social benefits that had been a fact of life for decades in the Soviet Union have now become an object of deep nostalgia for many people, especially the elderly. Social services enveloped Soviet society, controlling the activity and thoughts of people for more than 70 years. The state and its various agents carried out this double-faced task of care and control at all levels of social life, moving gradually from tough and selective schemes of social security and insurance to the “bright future” of a communist welfare state. The development of Soviet social policy followed the ideological formulae common in many industrial countries during the modernisation period. Our aim in this study was to use the forms taken by everyday life and the modern subject in the Soviet Union as a way to call into question our own certainty about how these phenomena work. Social care and social control practices were carried out by different professional and quasi-professional assistants—educators in youth and children’s cultural centres and clubs, activists in women’s organisations and trade unions, teachers at schools and educators in kindergartens and orphanages, nurses and visiting nurses at polyclinics, and officials of domestic affairs departments. The population viewed the government and its agents as the source of both well-being and trouble. This article focuses on social policy during the first decades of the “Republic of Labour” when the ideology of care and control was established in accordance with the demands of industrial growth, formulating particular definitions of normality and deviance. In this quest for normality, classifications of worthy and unworthy behaviour and activities were established, and the rhetoric distinguishing “us” and “them” intensified. We show how egalitarian social and democratic principles existed alongside conservative stratification guidelines without contradiction, and how the rhetoric of social care varied dramatically from its practical implementation.
Russian health care policy turns on a number of significant tensions between three vectors – all evolving at different speeds: first, the extent and nature of substantive state health care guarantees for Russian citizens; second, the extent or size of state versus non-state funding of health care; and, third, organisational challenges in the national health care system, including due to the advent of new health care technologies. Russia’s ability to negotiate these tensions will determine the future health of the country’s population.
In September, 2015, the UN General Assembly established the Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015).
We applied statistical methods to systematically compiled data to estimate the performance of 33 health-related SDG indicators for 188 countries from 1990 to 2015. We rescaled each indicator on a scale from 0 (worst observed value between 1990 and 2015) to 100 (best observed). Indices representing all 33 health-related SDG indicators (health-related SDG index), health-related SDG indicators included in the Millennium Development Goals (MDG index), and health-related indicators not included in the MDGs (non-MDG index) were computed as the geometric mean of the rescaled indicators by SDG target. We used spline regressions to examine the relations between the Socio-demographic Index (SDI, a summary measure based on average income per person, educational attainment, and total fertility rate) and each of the health-related SDG indicators and indices.
In 2015, the median health-related SDG index was 59∙3 (95% uncertainty interval 56∙8–61∙8) and varied widely by country, ranging from 85∙5 (84∙2–86∙5) in Iceland to 20∙4 (15∙4–24∙9) in Central African Republic. SDI was a good predictor of the health-related SDG index (r²=0∙88) and the MDG index (r²=0∙92), whereas the non-MDG index had a weaker relation with SDI (r²=0∙79). Between 2000 and 2015, the health-related SDG index improved by a median of 7∙9 (IQR 5∙0–10∙4), and gains on the MDG index (a median change of 10∙0 [6∙7–13∙1]) exceeded that of the non-MDG index (a median change of 5∙5 [2∙1–8∙9]). Since 2000, pronounced progress occurred for indicators such as met need with modern contraception, under-5 mortality, and neonatal mortality, as well as the indicator for universal health coverage tracer interventions. Moderate improvements were found for indicators such as HIV and tuberculosis incidence, minimal changes for hepatitis B incidence took place, and childhood overweight considerably worsened.Interpretation
GBD provides an independent, comparable avenue for monitoring progress towards the health-related SDGs. Our analysis not only highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient.
Although considerable progress on the health-related MDG indicators has been made, these gains will need to be sustained and, in many cases, accelerated to achieve the ambitious SDG targets. The minimal improvement in or worsening of health-related indicators beyond the MDGs highlight the need for additional resources to effectively address the expanded scope of the health-related SDGs
This prototype development explains the challenges encountered during the ISO/IEEE 11073 standard implementation process. The complexity of the standard and the consequent heavy requirements, which have not encouraged software engineers to adopt the standard. The developing complexity evaluation drives us to propose two possible implementation strategies that cover almost all possible use cases and eases handling the standard by non-expert users. The first one is focused on medical devices (MD) and proposes a low-memory and low-processor usage technique. It is based on message patterns that allow simple functions to generate ISO/IEEE 11073 messages and to process them easily. MD act as X73 agent. Second one is focused on more powerful device X73 manager, which do not have the MDs' memory and processor usage constraints. The protocol between Agent and Manager is point-to-point and we can distribute the functionality between devices.
Developed both implementation X73 Agent and Manager will cut developing time for applications based on ISO/EEE 11073.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.