7 resultados para Consular assistance

em Bucknell University Digital Commons - Pensilvania - USA


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We employ the case of USAID's Linking Agricultural Markets with Producers (LAMP) project to address opportunities and obstacles to development assistance. Framed within LAMP's identification of constraints to growth within Bosnia's agricultural market, we explore the complex interorganizational linkages required for success. We identify three distinct linkage types inherent to development situations. Relationships exist (1) within the international community, (2) within the local Bosnian community and (3) between international and local organizations.

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Recent evidence on malnutrition and poverty raise important questions on the role of food assistance policies and programs. In this review article, we examine evidence on the economic and nutritional impacts of international food assistance programs (FAPs) and policies. The returns on investments in FAPs are, on average, high but depend considerably on the targeting and cost structures as well as on food quality and role of complementary activities. We disaggregate findings into four classes of recipients. Returns to FAPs are highest for children under two. But, FAPs oriented towards early childhood interventions are less well funded than are interventions aimed at school-age children or at the broader, largely adult population even though available evidence indicates that these latter classes of interventions offer considerably lower average returns in economic, health, and nutrition terms. Nonetheless, FAP effectiveness in achieving any of several objectives varies with a range of key factors, including targeting, additionality, seasonality, timeliness, incentive effects, social acceptability and political economy considerations. (C) 2013 Elsevier Ltd. All rights reserved.

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The rise of new food assistance instruments, including local and regional procurement, cash, and vouchers, has surpassed increase in understanding of the tradeoffs among and impacts of these options relative to traditional food aid. Response choices rarely appear to result from systematic response analyses. Further, impacts along multiple dimensions-timeliness, cost-effectiveness, local market effects, recipient satisfaction, food quality, impact on smallholder suppliers, etc.-may be competing or synergistic. No single food assistance tool is always and everywhere preferable. A growing body of evidence, including the papers in this special section, nonetheless demonstrates the clear value-added of new food assistance instruments. (C) 2013 Elsevier Ltd. All rights reserved.

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A number of state-level pharmaceutical assistance programs have been established as a result of the growing recognition of the role of pharmaceuticals in the long-term care of the elderly. However, existing research does not provide a coherent expectation for patterns of use by rural and urban elderly. The data for this analysis are drawn from a larger study of the Pennsylvania Pharmaceutical Assistance Contract for the Elderly (PACE). PACE provides prescription medicines for elderly who meet income requirements. The research project was designed to assess the characteristics of PACE program participants and non-participants on a wide range of issues. Chi-square analysis and regression models were used to assess the association between rural and urban residence and access to the PACE Program. The results indicate that rural/urban status of the elderly is not a significant predictor of the use of PACE. Other traditional variables (e.g., health self-rating and physician visits) did predict difference in the pattern of use.

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In order to put Pennsylvania's Pharmaceutical Assistance Contract for the Elderly (PACE) Program in a national context, a nationwide mail survey and telephone follow-up to each of the 58 State Unit Directors on Aging in the United States and its territories identified 10 programs. The results reported in this article are specific to the seven state-level pharmaceutical assistance programs which were in operation during the fiscal year 1984-85. In general, the programs varied on select program characteristics and on their efforts to address major policy issues. Data from the non-program states indicated support, legislative efforts, and a high interest in fiscal concerns. The findings reflect a lack of program uniformity and have implications for program development and implementation. Suggestions on how to identify the "optimum" or best combination of program and policy options are discussed.

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To examine models of informal support received by elders in the United States and Sweden and to test whether differences in informal support appear to stem from demographic differences between the nations alone or whether cultural and historical differences must also be considered.

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Few international comparisons of health services are performed using microlevel data. Using such data, this paper compares the need for and receipt of assistance with activities of daily living (ADLs) in comparable samples in the United States and Sweden, a country with a universal system of community-based services.Design and Methods: Data from national surveys of community residents completed at approximately the same time in each nation are used to create comparable measures of need and assistance. Descriptive and logistic regression analyses compare need and assistance patterns across the nations and identify individual factors that explain receipt of assistance and unmet needs.Results:Our results indicate that a simple story of greater use of paid formal services in Sweden and more unpaid informal use in the United States masks a more complex relationship. Assistance with ADLs seems to be more targeted in Sweden; narrow differences in assistance widen considerably when the analysis is limited to those reporting need. Implications:Although these two different health systems result in similar levels of overall ADL assistance, a detailed microlevel comparison reveals key distinctions. Further microlevel comparisons of access, cost, and quality in cross-national data can further aid our understanding of the consequences of health policy.