4,854 research outputs found
The limits of corporate social responsibility and the possibilities for harnessing mining to reinstitute processes of state-led local development in the DRC
Parallel with the increasing liberalisation of the Congolese economy since the turn of the century has been the increasing delegation of previously state-held functions in the Democratic Republic of the Congo (DRC) to corporate actors, and in particular transnational mining corporations (TNMCs). This has been theoretically justified by an understanding of the collapse of the Congolese state in the 1990s as due primarily to government corruption and mismanagement. Grounded in an alternative historical interpretation of this collapse, and based on interviews and a review of the literature which reveals the limited impact of this shift on local development in the main mining regions of the DRC, this chapter explores the possibilities for harnessing the presence of TNMCs to support the reinstitution of processes of state-led local development. It is argued that achieving this will require maximising state capture of the surplus created by industrial mining and the redistribution of this surplus to local government structures, or the ‘decentralised territorial entities’. The main challenges and opportunities surrounding these processes are identified and discussed. Findings are based on research conducted between January and March 2016 in Kinshasa and six of the DRC’s major mining provinces
State Trends in Premiums and Deductibles, 2003-2010: The Need for Action to Address Rising Costs
Examines the rise in employer-based insurance premiums and deductibles and as a percentage of median household income. Projects average family coverage premiums in 2020 if federal health reform is not implemented and historical rates of increase continue
The NGO Sector and Civil Society in Kenya
__Abstract__
The following review aims to locate the recent growth of Kenya’s NGO sector and civil society within an understanding of the effectiveness of these spheres in representing and providing for the needs of the country’s poor. The review contains two main chapters. The first begins with an assessment of the NGO sector, which opens with an analysis of the sectoral and geographic coverage of NGOs currently active in the country. It then moves on to outline the major strengths and weaknesses of this sector. The second chapter synthesises the literature assessing the state of civil society in Kenya, aiming to follow and assess its development from the 1970s through until the present, post-amendment context
State Trends in Premiums and Deductibles, 2003-2011: Eroding Protection and Rising Costs Underscore Need for Action
Rapidly rising health insurance premiums and higher cost-sharing continue to strain the budgets of U.S. working families and employers. Analysis of state trends in private employer-based health insurance from 2003 to 2011 reveals that premiums for family coverage increased 62 percent across states -- rising far faster than income for middle- and low-income families. At the same time, deductibles more than doubled in large and small firms. Workers are thus paying more but getting less-protective benefits. If trends continue at their historical rate, the average premium for family coverage will reach nearly 2,029 annually for family coverage.View the related infographic
Why Not the Best? Results From the National Scorecard on U.S. Health System Performance, 2011
Assesses the U.S. healthcare system's average performance in 2007-09 as measured by forty-two indicators of health outcomes, quality, access, efficiency, and equity compared with the 2006 and 2008 scorecards and with domestic and international benchmarks
Assessing the short-term outcomes of a community-based intervention for overweight and obese children: The MEND 5-7 programme
Objective The aim of this study was to report outcomes of the UK service level delivery of MEND (Mind,Exercise,Nutrition...Do it!) 5-7, a multicomponent, community-based, healthy lifestyle intervention designed for overweight and obese children aged 5–7 years and their families.
Design Repeated measures.
Setting Community venues at 37 locations across the UK.
Participants 440 overweight or obese children (42% boys; mean age 6.1 years; body mass index (BMI) z-score 2.86) and their parents/carers participated in the intervention.
Intervention MEND 5-7 is a 10-week, family-based, child weight-management intervention consisting of weekly group sessions. It includes positive parenting, active play, nutrition education and behaviour change strategies. The intervention is designed to be scalable and delivered by a range of health and social care professionals.
Primary and secondary outcome measures The primary outcome was BMI z-score. Secondary outcome measures included BMI, waist circumference, waist circumference z-score, children's psychological symptoms, parenting self-efficacy, physical activity and sedentary behaviours and the proportion of parents and children eating five or more portions of fruit and vegetables.
Results 274 (62%) children were measured preintervention and post-intervention (baseline; 10-weeks). Post-intervention, mean BMI and waist circumference decreased by 0.5 kg/m2 and 0.9 cm, while z-scores decreased by 0.20 and 0.20, respectively (p<0.0001). Improvements were found in children's psychological symptoms (−1.6 units, p<0.0001), parent self-efficacy (p<0.0001), physical activity (+2.9 h/week, p<0.01), sedentary activities (−4.1 h/week, p<0.0001) and the proportion of parents and children eating five or more portions of fruit and vegetables per day (both p<0.0001). Attendance at the 10 sessions was 73% with a 70% retention rate.
Conclusions Participation in the MEND 5-7 programme was associated with beneficial changes in physical, behavioural and psychological outcomes for children with complete sets of measurement data, when implemented in UK community settings under service level conditions. Further investigation is warranted to establish if these findings are replicable under controlled conditions
What Are the Barriers Which Discourage 15-16 Year-Old Girls from Participating in Team Sports and How Can We Overcome Them?
Given the clear benefits of regular physical activity (such as reduced risks of cardiovascular disease and obesity, as well as other benefits including those related to mental health), exploration of the reasons that adolescent girls give for not taking part in team sports may be particularly valuable for enhancing later rates of participation. We combined questionnaires and semistructured interviews to assess the barriers that prevent 15-16-year-old girls from participating in extracurricular team games and what can be done to overcome these barriers and improve physical activity levels. Four barriers became prominent as to why girls in this sample do not participate: Internal Factors, Existing Stereotypes, Other Hobbies and Teachers. Methods to overcome these barriers were identified; changing teachers’ attitudes and shifting the media’s focus away from male sport. Following the successful summer Olympics and Paralympics in the UK, and the resulting positive focus on some of the nation’s female athletes, a shift in focus may be possible. However, this needs to be maintained to allow girls more opportunities, role models and motivation to participate in sport
The Health Status of Southern Children: A Neglected Regional Disparity
Purpose: Great variations exist in child health outcomes among states in the United States, with southern states consistently ranked among the lowest in the country. Investigation of the geographical distribution of children’s health status and the regional factors contributing to these outcomes has been neglected. We attempted to identify the degree to which region of residence may be linked to health outcomes for children with the specific aim of determining whether living in the southern region of the United States is adversely associated with children’s health status.
Methods: A child health index (CHI) that ranked each state in the United States was computed by using statespecific composite scores generated from outcome measures for a number of indicators of child health. Five indicators for physical health were chosen (percent low birth weight infants, infant mortality rate, child death rate, teen death rate, and teen birth rates) based on their historic and routine use to define health outcomes in children. Indicators were calculated as rates or percentages. Standard scores were calculated for each state for each health indicator by subtracting the mean of the measures for all states from the observed measure for each state. Indicators related to social and economic status were considered to be variables that impact physical health, as opposed to indicators of physical health, and therefore were not used to generate the composite child health score. These variables were subsequently examined in this study as potential confounding variables. Mapping was used to redefine regional groupings of states, and parametric tests (2-sample t test, analysis of means, and analysis-of-variance F tests) were used to compare the means of the CHI scores for the regional groupings and test for statistical significance. Multiple regression analysis computed the relationship of region, social and economic indicators, and race to the CHI. Simple linear-regression analyses were used to assess the individual effect of each indicator.
Results: A geographic region of contiguous states, characterized by their poor child health outcomes relative to other states and regions of the United States, exists within the “Deep South” (Mississippi, Louisiana, Arkansas, Tennessee, Alabama, Georgia, North Carolina, South Carolina, and Florida). This Deep-South region is statistically different in CHI scores from the US Census Bureau– defined grouping of states in the South. The mean of CHI scores for the Deep-South region was \u3e1 SD below the mean of CHI scores for all states. In contrast, the CHI score means for each of the other 3 regions were all above the overall mean of CHI scores for all states. Regression analysis showed that living in the Deep- South region is a stronger predictor of poor child health outcomes than other consistently collected and reported variables commonly used to predict children’s health.
Conclusions: The findings of this study indicate that region of residence in the United States is statistically related to important measures of children’s health and may be among the most powerful predictors of child health outcomes and disparities. This clarification of the poorer health status of children living in the Deep South through spatial analysis is an essential first step for developing a better understanding of variations in the health of children. Similar to early epidemiology work linking geographic boundaries to disease, discovering the mechanisms/pathways/causes by which region influences health outcomes is a critical step in addressing disparities and inequities in child health and one that is an important and fertile area for future research. The reasons for these disparities may be complex and synergistically related to various economic, political, social, cultural, and perhaps even environmental (physical) factors in the region. This research will require the use and development of new approaches and applications of spatial analysis to develop insights into the societal, environmental, and historical determinants of child health that have been neglected in previous child health outcomes and policy research. The public policy implications of the findings in this study are substantial. Few, if any, policies identify these children as a high-risk group on the basis of their region of residence. A better understanding of the depth and breadth of disparities in health, education, and other social outcomes among and within regions of the United States is necessary for the generation of policies that enable policy makers to address and mitigate the factors that influence these disparities. Defining and clarifying the regional boundaries is also necessary to better inform public policy decisions related to resource allocation and the prevention and/or mitigation of the effects of region on child health. The identification of the Deep South as a clearly defined sub-region of the Census Bureau’s regional definition of the South suggests the need to use more culturally and socially relevant boundaries than the Census Bureau regions when analyzing regional data for policy development
- …
