109 research outputs found

    Globalisation and Poverty: Implications of South Asian Experience for the Wider Debate

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    This paper discusses linkages between globalisation and poverty in four South Asian countries, drawing upon eight papers prepared for a DFID-supported project. These countries were chosen, in part, because liberalisation occurred in these countries in the mid 1980s to early 1990s and was substantial, providing clear globalisation shocks as a laboratory experiment to discuss linkage. Countries generally seem to experience declines in absolute poverty over the period although relative poverty (i.e. inequality) is roughly constant. Determining linkage effects is difficult, however, as the analyses show. Excluded, non-globalisation, variables such as changes in remittances in the Pakistan case, account for much of the inequality change, and once removed can change its sign. Depending upon whether trade liberalisation is in the form of tariff change, whether tariff revenue is forgone by an equal-yield VAT or a progressive income tax, or other factors, different inequality impacts can be attributed to globalisation. Broad generalizations as to globalisation-poverty linkage do not appear to follow easily from these country episode

    Out of the shadows: Classifying economies by the extent and nature of employment in the informal economy

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    Given the prevalence of informality, this article proposes a typology for classifying countries by the extent and nature of employment in the informal economy, rather than by the composition of their formal economies. The author analyses ILO data on employment in the informal economy in 36 developing countries, and shows that there is a significant correlation between cross-national variations in the degree and intensity of informalization and cross-national variations in social and economic indicators such as levels of GNP per capita, corruption, poverty, taxation and social contributions. The article concludes by discussing implications for theory and policy

    Perceived Age Discrimination as a Mediator of the Association Between Income Inequality and Older People's Self-Rated Health in the European Region

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    Objectives. The relative income hypothesis predicts poorer health in societies with greater income inequality. This article examines whether the psychosocial factors of perceived age discrimination and (lack of) social capital may help explain the adverse effect of inequality on older people's health. Methods. Self-rated health, perceived age discrimination, and social capital were assessed in the 2008/9 European Social Survey (European Social Survey Round 4 Data, 2008). The Gini coefficient was used to represent national inequalities in income in each of the 28 European Social Survey countries. Mediation analyses (within a multilevel structural equation modeling paradigm) on a subsample of respondents over 70 years of age (N = 7,819) were used to examine whether perceived age discrimination mediates the negative effect of income inequality on older people's self-rated health. Results. Perceived age discrimination fully mediated the associations between income inequality and self-rated health. When social capital was included into the model, only age discrimination remained a significant mediator and predictor of self-rated health. Discussion. Concrete instances of age discrimination in unequal societies are an important psychosocial stressor for older people. Awareness that the perception of ageism can be an important stressor and affect older patient's self-reported health has important implications for the way health practitioners understand and treat the sources of patient's health problems in later life.info:eu-repo/semantics/acceptedVersio

    Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada.

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    The January 2010 articles in The New York Times generated intense focus on patient safety in radiation treatment, with physics staffing identified frequently as a critical factor for consistent quality assurance. The purpose of this work is to review our experience with medical physics staffing, and to propose a transparent and flexible staffing algorithm for general use. Guided by documented times required per routine procedure, we have developed a robust algorithm to estimate physics staffing needs according to center-specific workload for medical physicists and associated support staff, in a manner we believe is adaptable to an evolving radiotherapy practice. We calculate requirements for each staffing type based on caseload, equipment inventory, quality assurance, educational programs, and administration. Average per-case staffing ratios were also determined for larger-scale human resource planning and used to model staffing needs for Ontario, Canada over the next 10 years. The workload specific algorithm was tested through a survey of Canadian cancer centers. For center-specific human resource planning, we propose a grid of coefficients addressing specific workload factors for each staff group. For larger scale forecasting of human resource requirements, values of 260, 700, 300, 600, 1200, and 2000 treated cases per full-time equivalent (FTE) were determined for medical physicists, physics assistants, dosimetrists, electronics technologists, mechanical technologists, and information technology specialists, respectively

    Addressing the double-burden of diabetes and tuberculosis : Lessons from Kyrgyzstan

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    Background: The incidence of diabetes and tuberculosis co-morbidity is rising, yet little work has been done to understand potential implications for health systems, healthcare providers and individuals. Kyrgyzstan is a priority country for tuberculosis control and has a 5% prevalence of diabetes in adults, with many health system challenges for both conditions. Methods: Patient exit interviews collected data on demographic and socio-economic characteristics, health spending and care seeking for people with diabetes, tuberculosis and both diabetes and tuberculosis. Qualitative data were collected through semi-structured interviews with healthcare workers involved in diabetes and tuberculosis care, to understand delivery of care and how providers view effectiveness of care. Results: The experience of co-affected individuals within the health system is different than those just with tuberculosis or diabetes. Co-affected patients do not receive more care and also have different care for their tuberculosis than people with only tuberculosis. Very high levels of catastrophic spending are found among all groups despite these two conditions being included in the Kyrgyz state benefit package especially for medicines. Conclusions: This study highlights that different patterns of service provision by disease group are found. Although Kyrgyzstan has often been cited as an example in terms of health reforms and developing Primary Health Care, this study highlights the challenge of managing conditions that are viewed as "too complicated" for non-specialists and the impact this has on costs and management of individuals

    Illness Mapping: A time and cost effective method to estimate healthcare data needed to establish community-based health insurance

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    Background: Most healthcare spending in developing countries is private out-of-pocket. One explanation for low penetration of health insurance is that poorer individuals doubt their ability to enforce insurance contracts. Community-based health insurance schemes (CBHI) are a solution, but launching CBHI requires obtaining accurate local data on morbidity, healthcare utilization and other details to inform package design and pricing. We developed the "Illness Mapping" method (IM) for data collection (faster and cheaper than household surveys). Methods. IM is a modification of two non-interactive consensus group methods (Delphi and Nominal Group Technique) to operate as interactive methods. We elicited estimates from "Experts" in the target community on morbidity and healthcare utilization. Interaction between facilitator and experts became essential to bridge literacy constraints and to reach consensus.The study was conducted in Gaya District, Bihar (India) during April-June 2010. The intervention included the IM and a household survey (HHS). IM included 18 women's and 17 men's groups. The HHS was conducted in 50 villages with1,000 randomly selected households (6,656 individuals). Results: We found good agreement between the two methods on overall prevalence of illness (IM: 25.9% ±3.6; HHS: 31.4%) and on prevalence of acute (IM: 76.9%; HHS: 69.2%) and chronic illnesses (IM: 20.1%; HHS: 16.6%). We also found good agreement on incidence of deliveries (IM: 3.9% ±0.4; HHS: 3.9%), and on hospital deliveries (IM: 61.0%. ± 5.4; HHS: 51.4%). For hospitalizations, we obtained a lower estimate from the IM (1.1%) than from the HHS (2.6%). The IM required less time and less person-power than a household survey, which translate into reduced costs. Conclusions: We have shown that our Illness Mapping method can be carried out at lower financial and human cost for sourcing essential local data, at acceptably accurate levels. In view of the good fit of results obtained, we assume that the method could work elsewhere as well

    Early childhood feeding practices and dental caries in preschool children: a multi-centre birth cohort study

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    Extent: 7p.Background Dental caries (decay) is an international public health challenge, especially amongst young children. Early Childhood Caries is a rapidly progressing disease leading to severe pain, anxiety, sepsis and sleep loss, and is a major health problem particularly for disadvantaged populations. There is currently a lack of research exploring the interactions between risk and protective factors in the development of early childhood caries, in particular the effects of infant feeding practises. Methods/Design This is an observational cohort study and involves the recruitment of a birth cohort from disadvantaged communities in South Western Sydney. Mothers will be invited to join the study soon after the birth of their child at the time of the first home visit by Child and Family Health Nurses. Data on feeding practices and dental health behaviours will be gathered utilizing a telephone interview at 4, 8 and 12 months, and thereafter at 6 monthly intervals until the child is aged 5 years. Information collected will include a) initiation and duration of breastfeeding, b) introduction of solid food, c) intake of cariogenic and non-cariogenic foods, d) fluoride exposure, and e) oral hygiene practices. Children will have a dental and anthropometric examination at 2 and 5 years of age and the main outcome measures will be oral health quality of life, caries prevalence and caries incidence. Discussion This study will provide evidence of the association of early childhood feeding practices and the oral health of preschool children. In addition, information will be collected on breastfeeding practices and the oral health concerns of mothers living in disadvantaged areas in South Western Sydney.Amit Arora, Jane A Scott, Sameer Bhole, Loc Do, Eli Schwarz and Anthony S Blinkhor
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