88 research outputs found

    HIV Stigma Reduction for Health Facility Staff: Development of a Blended- Learning Intervention

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    Introduction: The effect of stigma on health and health inequity is increasingly recognized. While many medical conditions trigger stigmatization, the negative effects of HIV stigma are particularly well documented. HIV stigma undermines access, uptake, and adherence to both HIV prevention and treatment. People living with HIV face stigma in all aspects of their daily lives; however, stigma in the health system is particularly detrimental. A key component for health facility stigma-reduction interventions is participatory training of staff, often through several days of in-person training. Though this approach shows promise, it is time intensive and poses challenges for busy health facilities. In response, the DriSti study has developed a brief blended-learning approach to stigma reduction in Karnataka State, India. This paper describes the process and final content of the intervention development. The intervention is currently being tested. Final evaluation results will be published upon study completion.Methods: Grounded in behavior change strategies based on social cognitive theory principles that stress the importance of combining interpersonal interactions with specific strategies that promote behavior change, we used a three-phase approach to intervention development: (1) content planning—review of existing participatory stigma-reduction training activities; (2) story boarding—script development and tablet content production; and (3) pilot testing of tablet and in-person session materials.Results: The final intervention curriculum consists of three sessions. Two initial self-administered tablet sessions focus on stigma awareness, attitudes, fears of HIV transmission, and use of standard precautions. The third small group session covers the same material but includes skill building through role-play and testimony by a person living with HIV. A study team member administers the tablet sessions, explains the process, and is present throughout to answer questions.Conclusion: This paper describes the theoretical underpinning and process of developing the blended-learning curriculum content, and practical lessons learned.The approach covers three key drivers of HIV stigma—stigma awareness, fear of HIV transmission, and attitudes. Developing video content for the self-directed learning is complex, requires a diverse set of people and skills, and presents unexpected opportunities for stigma reduction. Co-facilitation of the in-person session by someone living with HIV is a critical component

    Association between maternal nutritional status in pregnancy and offspring cognitive function in childhood and adolescence; a systematic review

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    Background The mother is the only source of nutrition for fetal growth including brain development. Maternal nutritional status (anthropometry, macro- and micro-nutrients) before and/or during pregnancy is therefore a potential predictor of offspring cognitive function. The relationship of maternal nutrition to offspring cognitive function is unclear. This review aims to assess existing evidence linking maternal nutritional status with offspring cognitive function. Methods Exposures considered were maternal BMI, height and weight, micronutrient status (vitamins D, B12, folate and iron) and macronutrient intakes (carbohydrate, protein and fat). The outcome was any measure of cognitive function in children aged <18 years. We considered observational studies and trials with allocation groups that differed by single nutrients. We searched Medline/PubMed and the Cochrane Library databases and reference lists of retrieved literature. Two reviewers independently extracted data from relevant articles. We used methods recommended by the Centre for Reviews and Dissemination, University of York and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Results Of 16,143 articles identified, 38 met inclusion criteria. Most studies were observational, and from high-income settings. There were few randomized controlled trials. There was consistent evidence linking maternal obesity with lower cognitive function in children; low maternal BMI has been inadequately studied. Among three studies of maternal vitamin D status, two showed lower cognitive function in children of deficient mothers. One trial of folic acid supplementation showed no effects on the children’s cognitive function and evidence from 13 observational studies was mixed. Among seven studies of maternal vitamin B12 status, most showed no association, though two studies in highly deficient populations suggested a possible effect. Four out of six observational studies and two trials (including one in an Iron deficient population) found no association of maternal iron status with offspring cognitive function. One trial of maternal carbohydrate/protein supplementation showed no effects on offspring cognitive function. Conclusions Current evidence that maternal nutritional status during pregnancy as defined by BMI, single micronutrient studies, or macronutrient intakes influences offspring cognitive function is inconclusive. There is a need for more trials especially in populations with high rates of maternal undernutrition. Systematic review registration Registered in PROSPERO CRD42013005702

    A decomposition synthesis methodology for optimal systems design.

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    Solving an optimal design problem (ODP) by decomposition methods involves partitioning a given ODP into several smaller problems and coordinating their solutions to obtain the solution to the original problem. In general, casting a given general design problem (GDP) as an optimization model is subjective. Therefore, one may seek to synthesize an ODP by defining the appropriate model functions so that the resulting model can be directly partitioned and solved in a decomposed form. The method by which such a subjective selection can be made so that the resulting optimal design model can be directly partitioned into an appropriate decomposed form is presented in this thesis. This process is termed decomposition synthesis. A particular methodology for synthesizing hierarchically decomposed optimal design models using a bipartite graph partitioning technique is presented, and explained using examples. Formal definitions of decomposition concepts and types are developed to describe the methodology rigorously. Given a GDP there are many ways of synthesizing a decomposable ODP. Thus, introducing suitable criteria an optimal decomposition synthesis process can be defined in a manner analogous to optimal partitioning formulations. An integer linear programming (ILP) formulation and solution techniques for synthesizing hierarchically decomposed optimal design problems is presented in this thesis. The implementation of the ILP is explained first using simple examples, and its use as a decomposition synthesis tool of large systems is further demonstrated using the examples of an automotive powertrain design and brake system design problems. Once a decomposed ODP is obtained it is necessary to use a coordination scheme to obtain the optimal solution to the overall problem. An implementation of a sensitivity-based coordination strategy to obtain the optimal solution to a hierarchically decomposed optimal design problem is illustrated using the example of an automotive electric hybrid powertrain. Results obtained using the coordination scheme are validated with those obtained without decomposition. The results clearly demonstrate how the synthesis methodology provides a general technique for optimally partitioning a large system design problem, and a method for composing a meaningful ODP from it for solution by decomposition methods.Ph.D.Applied SciencesIndustrial engineeringMechanical engineeringOperations researchSystems scienceUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/130036/2/9712008.pd
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