Thresholds of morbidity among women in a peri-urban community of Maharashtra, India: conceptual and methodological issues.

While data on perceived morbidity often correlate poorly with clinical morbidity, they can provide an indicator for how women's concepts of health change in the context of larger transitions in gender and health systems. Drawing on multiple sources of data on perceived morbidity among women in a peri-urban settlement of Maharashtra, India, this article examines variations in women's thresholds for articulating illness conditions. Data on women's health were collected from married women aged 15-49, using four different instruments: focus group discussion guides; general illness narrative guidelines; individual open-ended questions about morbidity; and a highly structured checklist. Comparing the data and the assumptions underlying these instruments, the article identifies four different thresholds relating to situational, agency, prototypical and dimensional aspects of women's experience and subsequent reporting of morbidity

A First Step Towards Automatically Building Network Representations

To fully harness Grids, users or middlewares must have some knowledge on the topology of the platform interconnection network. As such knowledge is usually not available, one must uses tools which automatically build a topological network model through some measurements. In this article, we define a methodology to assess the quality of these network model building tools, and we apply this methodology to representatives of the main classes of model builders and to two new algorithms. We show that none of the main existing techniques build models that enable to accurately predict the running time of simple application kernels for actual platforms. However some of the new algorithms we propose give excellent results in a wide range of situations

'I'm fed up': experiences of prior anti-tuberculosis treatment in patients with drug-resistant tuberculosis and HIV

To understand the impact of past experiences of anti-tuberculosis treatment among patients co-infected with the human immunodeficiency virus and multidrug-resistant tuberculosis (MDR-TB) on perceptions and attitudes towards treatment

Engaging with HIV care systems: why space, time and social relations matter (editorial)

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Qualitative research to enhance the evaluation of results-based financing programmes: The promise and the reality

Paper prepared for the Health Results Innovation Trust Fund World Bank, Washington, DC, February, 2016This Discussion Paper presents the approach, findings, and recommendations from a desk review of the qualitative research conducted within Results-Based Financing programmes (RBF) under the Health Results Innovations Trust Fund (HRITF). The review included 17 studies conducted in Benin, Burundi, Cameroon, DRC, Ethiopia, Haiti, Kenya, Kyrgyzstan, Nigeria, Rwanda, Tajikistan, Tanzania, Zambia, and Zimbabwe. The studies reveal a body of high quality work that is consistent with the conceptual framework of RBF schemes, supported by political will, resources, and research capacity. Strengthening the added value of qualitative inquiry in on-going and future qualitative studies may be enabled by small shifts in thinking and practice, in line with a qualitative research paradigm. First, in order to better ground research in an existing country and system specific context, some interrogation of constructs and posited relationships in the existing conceptual framework for intervention/evaluation may be required. Second, to enable more in-depth and richer data that documents working practices and relations under RBF schemes, training of local researchers should place stronger emphasis on entry to the field, gaining trust, building rapport, and sustaining a dialogue with key informants. Third, smaller, more intensive and focused studies targeting fewer sites and smaller samples - but addressing a wider range of methods and informants within the health system - are likely to yield richer data that can support the understanding of how health workers and managers are responding to schemes, and what impact schemes have on service volumes and outputs.sch_iihpub4412pu