Negotiating healthy trade in Australia: health impact assessment of the proposed Trans-Pacific Partnership Agreement

Drawing on leaked texts of potential provisions of the proposed Trans-Pacific Partnership Agreement, this health impact assessment found the potential for negative impacts in the cost of medicines, tobacco control policies, alcohol control policies, and food labeling. Overview The Centre for Health Equity Training Research and Evaluation (CHETRE) has been working with a group of Australian academics and non-government organisations interested in the health of the Australian population to carry out a health impact assessment (HIA) on the Trans-Pacific Partnership Agreement (TPP) negotiations. In the absence of official publicly available drafts of the trade agreement, the health impact assessment drew on leaked texts of potential provisions and formulated policy scenarios based on high priority health policies that could be affected by the TPP. The HIA found the potential for negative impacts in each of the four areas under investigation: the cost of medicines; tobacco control policies; alcohol control policies; and food labeling. In each of these areas, the HIA report traces the relevant proposed provisions through to their likely effects on the policy scenarios onto the likely impact on the health of Australians, focusing particularly on vulnerable groups in the Australian community. The report makes a number of recommendations to DFAT regarding the TPP provisions and to the Australian Government regarding the TPP negotiating process

Public Safety, Crime and Justice Report

The advisory committee met on October 3, 2008 and January 30, 2009 to review information, data and reports compiled by staff to inform discussions centered on crime and justice issues in the seven-county Northeastern Illinois region that will warrant attention and resources between now and the year 2040.Between those two meetings, advisory committee members were asked to complete an on-line survey regarding the current conditions in their field of criminal justice and in their communities and the anticipated effects of projected changes in demographics on criminal justice goals and objectives for reaching a safe, equitable, efficient region by the year 2040

State of Health Equity Movement, 2011 Update Part C: Compendium of Recommendations DRA Project Report No. 11-03

State of Health Equity Movement, 2011 Update Part C: Compendium of Recommendations DRA Project Report No. 11-0

Slovak Health-care Reform: Greater Privatization

The paper summarizes recent health-care reform in Slovakia and the reform's general rationale, provides a brief theoretical background, and describes the reform measures both adopted and proposed. The authors assess the early experience and the impact of the undertaken reform. The main feature of Slovak health-care reform has been the commercialization of the sector. While much of the reform is still in process, and is thus hard to quantify (for instance, direct expenditures by patients are increasing, while the revenues of certain interest groups are declining), many early steps have produced concrete improvements important toward securing social legitimacy.public expenditure; health care; reform

Children's Databases - Safety and Privacy

This report describes in detail the policy background, the systems that are being built, the problems with them, and the legal situation in the UK. An appendix looks at Europe, and examines in particular detail how France and Germany have dealt with these issues. Our report concludes with three suggested regulatory action strategies for the Commissioner: one minimal strategy in which he tackles only the clear breaches of the law, one moderate strategy in which he seeks to educate departments and agencies and guide them towards best practice, and finally a vigorous option in which he would seek to bring UK data protection practice in these areas more in line with normal practice in Europe, and indeed with our obligations under European law

A Priority-based Fair Queuing (PFQ) Model for Wireless Healthcare System

Healthcare is a very active research area, primarily due to the increase in the elderly population that leads to increasing number of emergency situations that require urgent actions. In recent years some of wireless networked medical devices were equipped with different sensors to measure and report on vital signs of patient remotely. The most important sensors are Heart Beat Rate (ECG), Pressure and Glucose sensors. However, the strict requirements and real-time nature of medical applications dictate the extreme importance and need for appropriate Quality of Service (QoS), fast and accurate delivery of a patient’s measurements in reliable e-Health ecosystem. As the elderly age and older adult population is increasing (65 years and above) due to the advancement in medicine and medical care in the last two decades; high QoS and reliable e-health ecosystem has become a major challenge in Healthcare especially for patients who require continuous monitoring and attention. Nevertheless, predictions have indicated that elderly population will be approximately 2 billion in developing countries by 2050 where availability of medical staff shall be unable to cope with this growth and emergency cases that need immediate intervention. On the other side, limitations in communication networks capacity, congestions and the humongous increase of devices, applications and IOT using the available communication networks add extra layer of challenges on E-health ecosystem such as time constraints, quality of measurements and signals reaching healthcare centres. Hence this research has tackled the delay and jitter parameters in E-health M2M wireless communication and succeeded in reducing them in comparison to current available models. The novelty of this research has succeeded in developing a new Priority Queuing model ‘’Priority Based-Fair Queuing’’ (PFQ) where a new priority level and concept of ‘’Patient’s Health Record’’ (PHR) has been developed and integrated with the Priority Parameters (PP) values of each sensor to add a second level of priority. The results and data analysis performed on the PFQ model under different scenarios simulating real M2M E-health environment have revealed that the PFQ has outperformed the results obtained from simulating the widely used current models such as First in First Out (FIFO) and Weight Fair Queuing (WFQ). PFQ model has improved transmission of ECG sensor data by decreasing delay and jitter in emergency cases by 83.32% and 75.88% respectively in comparison to FIFO and 46.65% and 60.13% with respect to WFQ model. Similarly, in pressure sensor the improvements were 82.41% and 71.5% and 68.43% and 73.36% in comparison to FIFO and WFQ respectively. Data transmission were also improved in the Glucose sensor by 80.85% and 64.7% and 92.1% and 83.17% in comparison to FIFO and WFQ respectively. However, non-emergency cases data transmission using PFQ model was negatively impacted and scored higher rates than FIFO and WFQ since PFQ tends to give higher priority to emergency cases. Thus, a derivative from the PFQ model has been developed to create a new version namely “Priority Based-Fair Queuing-Tolerated Delay” (PFQ-TD) to balance the data transmission between emergency and non-emergency cases where tolerated delay in emergency cases has been considered. PFQ-TD has succeeded in balancing fairly this issue and reducing the total average delay and jitter of emergency and non-emergency cases in all sensors and keep them within the acceptable allowable standards. PFQ-TD has improved the overall average delay and jitter in emergency and non-emergency cases among all sensors by 41% and 84% respectively in comparison to PFQ model

Exploring Barriers to Primary Care in the LGBT Community

Purpose: The specific aim of this study was to identify the LGBT patient’s perspective of what factors could contribute to a more responsive primary care environment. Methods: The study was a non-experimental, descriptive study utilizing an anonymous, internet based electronic survey. A survey/questionnaire tool, developed for the study, was disseminated among a social media site and a listserv for two organizations with strong connections to the LGBT community. Results: Eighty-one responses were received. Participants: 60% identified as female, 95% were Caucasian, with 84% never having a Pap smear, and only 6.6% having recommended breast cancer screenings. The incidence of those who received HIV and Hepatitis C screening were 13.2 and 7.2% respectively. Participants identified the following factors as facilitators to accessing healthcare non-judgmental and non-heterosexist/genderist attitudes of staff (15%), feelings of confidentiality (14.5%) and safety (14%), and provider knowledge of the LGBT community (12%). Barriers to care were apparent when LGBT patients were met with judgmental, heterosexist attitudes, feelings of a deficient level of safety, lack of confidentiality and limited cultural competence and knowledge of the LGBT patient by providers. The results were a major factor leading to non-disclosure. Improving health care outcomes among this population is dependent on providers gaining cultural competency to improve communication and awareness of LGBT health issues. Conclusion: Improving social and structural gaps that lead to non-disclosure of sexual orientation and gender identity as perceived by the LGBT community is essential to decreasing health disparities in this population. The survey results infer that although there is progress being made with acceptance of the LGBT population, there continue to be modifiable barriers associated with patient-provider relations

Review of equality statistics

The Equality and Human Rights Commission (EHRC) commissioned this review as part of its remit to map the equalities landscape across England, Scotland and Wales. The report examines the extent to which data are available for the following equality strands: sex; ethnicity / race; disability; religion or belief; age; sexual orientation; and also for socio-economic status (social class). The extent to which statistics are available at different levels of geographic classification (UK, GB, England, Scotland and Wales and regional and local areas within this) is investigated. The report addresses the ten domains of equality identified in the equality measurement framework in the Equalities Review.1 These are: Longevity Physical security Health Education Standard of living Productive and valued activities Individual, family and social life Participation, influence and voice Identity, expression and self-respect Legal securit