Integrating BOINC with Microsoft Excel: A case study

The convergence of conventional Grid computing with public resource computing (PRC) offers potential benefits in the enterprise setting. For this work we took the popular PRC toolkit BOINC and used it to execute a previously monolithic Microsoft Excel financial model across several commodity computers. Our experience indicates that speedup approaching linear may be realised for certain scenarios, and that this approach offers a viable route to leveraging idle desktop PCs in the enterprise

Technical report: Trial experience and data capture in the Low Birth Weight South Asia Trial, a large cluster-randomised controlled trial in lowland Nepal

Objectives: i) to describe data capture in the Low Birth Weight South Asia Trial (LBWSAT) and factors affecting it; ii) to analyse to what extent differential data capture created bias in the available data. Methods: We describe the context, study design, data collection instruments used and their capture rates. Little of the data available were eligible for trial analyses, so use of the data for secondary analyses is important. Data capture was affected by data collector overload, pressure to enrol women in the food and cash transfer arms, delayed receipt of participant ID cards, enrolment of women at any gestational age (including after delivery at the start), in-migration into the food/cash arms to access transfers, political instability, conflict in the field team, logistical issues, establishment of a run-in period, hiatus of data collection during training, and lack of funds to extend the duration of the study. To assess the extent that differential data capture generated bias we described background characteristics by study arm and in-migration status. Then for each of the main data collection instruments we compared captured and not-captured enrolled women’s age, age at marriage, wealth score and height using t-tests and enrolled women’s and husband’s education using chi squared tests. Using mixed logistic regressions (adjusted for clustering using random effects) we assessed the odd of questionnaire capture in relation to these factors. Results: Small differences between captured and non-captured women were found. In-migrators were more prevalent in the cash/food transfer arms and compared with permanent residents were more likely to be living in their parental homes, younger, primigravida, adolescent, Muslim, slightly poorer and have some education. Analyses of captured and non-captured women by questionnaire revealed small differences in age, age at marriage, wealth score and education but mostly these differences were very small. The largest differences were between captured and non-captured women in the endline cross-sectional survey, when slightly older, less educated, poorer women were more likely to be captured. These women more likely to report to a measuring station in their community. Conclusions: Many challenges in implementing large-scale trials in the plains of Nepal affect rates of data capture, especially when several timebound follow-up data collection occasions are needed. Although in-migrated and permanent residents, and captured and non-captured women differed slightly, the differences were not large enough to be of concern

Change in cost and affordability of a typical and nutritionally adequate diet among socio-economic groups in rural Nepal after the 2008 food price crisis

Diet quality is an important determinant of nutrition and food security and access can be constrained by changes in food prices and affordability. Poverty, malnutrition, and food insecurity are high in Nepal and may have been aggravated by the 2008 food price crisis. To assess the potential impact of the food price crisis on the affordability of a nutritionally adequate diet in the rural plains of Nepal, data on consumption patterns and local food prices were used to construct typical food baskets, consumed by four different wealth groups in Dhanusha district in 2005 and 2008. A modelled diet designed to meet household requirements for energy and essential nutrients at minimum cost, was also constructed using the ‘Cost of Diet’ linear programming tool, developed by Save the Children. Between 2005 and 2008, the cost of the four typical food baskets increased by 19% – 26% and the cost of the nutritionally adequate modelled diet increased by 28%. Typical food baskets of all wealth groups were low in macro and micronutrients. Income data for the four wealth groups in 2005 and 2008 were used to assess diet affordability. The nutritionally adequate diet was not affordable for poorer households in both 2005 and 2008. Due to an increase in household income levels, the affordability scenario did not deteriorate further in 2008. Poverty constrained access to nutritionally adequate diets for rural households in Dhanusha, even before the 2008 food price crisis. Despite increased income in 2008, households remain financially unable to meet their nutritional requirements

Community interventions to reduce child mortality in Dhanusha, Nepal: study protocol for a cluster randomized controlled trial

Background: Neonatal mortality remains high in rural Nepal. Previous work suggests that local women's groups can effect significant improvement through community mobilisation. The possibility of identification and management of newborn infections by community-based workers has also arisen.Methods/Design: The objective of this trial is to evaluate the effects on newborn health of two community-based interventions involving Female Community Health Volunteers.MIRA Dhanusha community groups: a participatory intervention with women's groups. MIRA Dhanusha sepsis management: training of community volunteers in the recognition and management of neonatal sepsis. The study design is a cluster randomized controlled trial involving 60 village development committee clusters allocated 1:1 to two interventions in a factorial design.MIRA Dhanusha community groups: Female Community Health Volunteers (FCHVs) are supported in convening monthly women's groups. Nine groups per cluster (270 in total) work through two action research cycles in which they (i) identify local issues around maternity, newborn health and nutrition, (ii) prioritise key problems, (iii) develop strategies to address them, (iv) implement the strategies, and (v) evaluate their success. Cycle 1 focuses on maternal and newborn health and cycle 2 on nutrition in pregnancy and infancy and associated postpartum care practices. MIRA Dhanusha sepsis management: FCHVs are trained to care for vulnerable newborn infants. They (i) identify local births, (ii) identify low birth weight infants, (iii) identify possible newborn infection, (iv) manage the process of treatment with oral antibiotics and referral to a health facility to receive parenteral gentamicin, and (v) follow up infants and support families.Primary outcome: neonatal mortality rates. Secondary outcomes: MIRA Dhanusha community group: stillbirth, infant and under-two mortality rates, care practices and health care seeking behaviour, maternal diet, breastfeeding and complementary feeding practices, maternal and under-2 anthropometric status. MIRA Dhanusha sepsis management: identification and treatment of neonatal sepsis by community health volunteers, infection-specific neonatal mortality

Food security, food price and income trends in Dhanusha district, Nepal between 2005 and 2011

Household food security is determined by availability, access and utilisation of food. Although the Terai is Nepal’s ‘bread basket’, the poor lack access to foods. Hence, in Dhanusha district, MIRA/UCL monitored food security and related factors between 2005‐6 and 2011 as part of prospective surveillance of households with recently delivered women

A feminist vision for transformative change to disaster risk reduction policies and practices

Gender has received increased attention in disaster risk reduction (DRR) policies and practices over the past three decades. However, a critical analysis raises a number of questions: has the attention to gender brought transformative change to the lives of people, especially women and sexual minorities in all their diversity? To what extent has the inclusion of a gender perspective in DRR challenged the root causes of vulnerability and marginalization? Do the current gender sensitive DRR policies and practices have transformative potential? In this paper, we explore some of these questions with particular reference to the recent Disaster Risk Reduction and Management (DRRM) Act 2017 and current DRR practices in Nepal in which gender has been included. We present findings from three research projects, undertaken between 2016 and 2019 in six locations in Nepal. These comprised 105 individual interviews, 11 group interviews and 3 focus group discussions (FGDs) with internally displaced women; pregnant and newly delivered women; health and community workers; policy makers, political leaders and organisations working on DRR. We argue that, despite increased attention to gender, current DRR policies and practices do little to challenge existing, unequal social and institutional structures; instead, they accommodate the gender status quo. We suggest that in order for transformative social change to occur, we require a transformative vision; one that allows us to see the biases and problems within the current DRR policies and practices and allows us to imagine our future differently. A feminist vision offers that possibility

Validating an Agency-based Tool for Measuring Women’s Empowerment in a Complex Public Health Trial in Rural Nepal

Despite the rising popularity of indicators of women’s empowerment in global development programmes, little work has been done on the validity of existing measures of such a complex concept. We present a mixed methods validation of the use of the Relative Autonomy Index for measuring Amartya Sen’s notion of agency freedom in rural Nepal. Analysis of think-aloud interviews (n = 7) indicated adequate respondent understanding of questionnaire items, but multiple problems of interpretation including difficulties with the four-point Likert scale, questionnaire item ambiguity and difficulties with translation. Exploratory Factor Analysis of a calibration sample (n = 519) suggested two positively correlated factors (r = 0.64) loading on internally and externally motivated behaviour. Both factors increased with decreasing education and decision-making power on large expenditures and food preparation. Confirmatory Factor Analysis on a validation sample (n = 509) revealed good fit (Root Mean Square Error of Approximation 0.05–0.08, Comparative Fit Index 0.91–0.99). In conclusion, we caution against uncritical use of agency-based quantification of women’s empowerment. While qualitative and quantitative analysis revealed overall satisfactory construct and content validity, the positive correlation between external and internal motivations suggests the existence of adaptive preferences. High scores on internally motivated behaviour may reflect internalized oppression rather than agency freedom

Using DHS and MICS data to complement or replace NGO baseline health data: An exploratory study

Background: Non-government organizations (NGOs) spend substantial time and resources collecting baseline data in order to plan and implement health interventions with marginalized populations. Typically interviews with households, often mothers, take over an hour, placing a burden on the respondents. Meanwhile, estimates of numerous health and social indicators in many countries already exist in publicly available datasets, such as the Demographic and Health Surveys (DHS) and the Multiple Indicator Cluster Surveys (MICS), and it is worth considering whether these could serve as estimates of baseline conditions. The objective of this study was to compare indicator estimates from non-governmental organizations (NGO) health projects' baseline reports with estimates calculated using the Demographic and Health Surveys (DHS) or the Multiple Indicator Cluster Surveys (MICS), matching for location, year, and season of data collection. / Methods: We extracted estimates of 129 indicators from 46 NGO baseline reports, 25 DHS datasets and three MICS datasets, generating 1,996 pairs of matched DHS/MICS and NGO indicators. We subtracted NGO from DHS/MICS estimates to yield difference and absolute difference, exploring differences by indicator. We partitioned variance of the differences by geographical level, year, and season using ANOVA. / Results: Differences between NGO and DHS/MICS estimates were large for many indicators but 33% fell within 5% of one another. Differences were smaller for indicators with prevalence 85%. Difference between estimates increased with increasing year and geographical level differences. However, <1% of the variance of the differences was explained by year, geographical level, and season. / Conclusions: There are situations where publicly available data could complement NGO baseline survey data, most importantly when the NGO has tolerance for estimates of low or unknown accuracy