BackgroundThe aim of the STRIPES trial was to assess the effectiveness of providing supplementary, remedial teaching and learning materials (and an additional ‘kit’ of materials for girls) on a composite of language and mathematics test scores for children in classes two, three and four in public primary schools in villages in the Nagarkurnool division of Andhra Pradesh, India.MethodsSTRIPES was a cluster randomised trial in which 214 villages were allocated either to the supplementary teaching intervention (n = 107) or to serve as controls (n = 107). 54 of the intervention villages were further randomly allocated to receive additional kit for girls. The study was not blinded. Analysis was conducted on the intention to treat principle, allowing for clustering.ResultsComposite test scores were significantly higher in the intervention group (107 villages; 2364 children) than in the control group (106 villages; 2014 children) at the end of the trial (mean difference on a percentage scale 15.8; 95% CI 13.1 to 18.6; p<0.001; 0.75 Standard Deviation (SD) difference). Composite test scores were not significantly different in the 54 villages (614 girls) with the additional kits for girls compared to the 53 villages (636 girls) without these kits at the end of the trial (mean difference on a percentage scale 0.5; 95% CI -4.34 to 5.4; p = 0.84). The cost per 0.1 SD increase in composite test score for intervention without kits is Rs. 382.97 (£4.45, $7.13), and Rs.480.59 (£5.58, $8.94) for the intervention with kits.ConclusionsA 18 month programme of supplementary remedial teaching and learning materials had a substantial impact on language and mathematics scores of primary school students in rural Andhra Pradesh, yet providing a ‘kit’ of materials to girls in these villages did not lead to any measured additional benefit.Trial RegistrationControlled-Trials.com ISRCTN69951502

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BackgroundIn the mid-2000s, neonatal mortality accounted for almost 40% of deaths of children under 5 years worldwide, and constituted 65% of infant deaths in India. The neonatal mortality rate in Andhra Pradesh was 44 per 1,000 live births, and was higher in the rural areas and tribal regions, such as the Nagarkurnool division of Mahabubnagar district (which became Nagarkurnool district in Telangana in 2014). The aim of the CHAMPION trial was to investigate whether a package of interventions comprising community health promotion and provision of health services (including outreach and facility-based care) could lead to a reduction of the order of 25% in neonatal mortality.Methods and findingsThe design was a trial in which villages (clusters) in Nagarkurnool with a population < 2,500 were randomised to the CHAMPION package of health interventions or to the control arm (in which children aged 6–9 years were provided with educational interventions—the STRIPES trial). A woman was eligible for the CHAMPION package if she was married and <50 years old, neither she nor her husband had had a family planning operation, and she resided in a trial village at the time of a baseline survey before randomisation or married into the village after randomisation. The CHAMPION intervention package comprised community health promotion (including health education via village health worker–led participatory discussion groups) and provision of health services (including outreach, with mobile teams providing antenatal check-ups, and facility-based care, with subsidised access to non-public health centres [NPHCs]). Villages were stratified by travel time to the nearest NPHC and tribal status, and randomised (1:1) within strata. The primary outcome was neonatal mortality. Secondary outcomes included maternal mortality, causes of death, health knowledge, health practices including health service usage, satisfaction with care, and costs. The baseline survey (enumeration) was carried out between August and November 2007. After randomisation on 18 February 2008, participants, data collectors, and data analysts were not masked to allocation. The intervention was initiated on 1 August 2008. After an inception period, the assessment start date was 1 December 2008. The intervention ended on 31 May 2011, and data collection was completed on 30 November 2011. Primary analyses followed the intention to treat principle. In all, 14,137 women were enrolled in 232 control villages, and 15,532 in 232 intervention villages. Of these, 4,885 control women had 5,474 eligible pregnancies and gave birth to 4,998 eligible children. The corresponding numbers in intervention villages were 5,664 women, 6,351 pregnancies, and 5,798 children. Of the live-born babies, 343 (6.9%) in the control arm and 303 (5.2%) in the intervention arm died in their first 28 days of life (risk ratio 0.76, 95% CI 0.64 to 0.90, p = 0.0018; risk difference −1.59%, 95% CI −2.63% to −0.54%), suggesting that there were 92 fewer deaths (95% CI 31 to 152) as a result of the intervention. T...

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Estimation of empirical relationships is prone to bias. Economists have carefully studied sources of bias in structural and quasi-experimental approaches, but the randomized control trial (RCT) has only begun to receive such scrutiny. In this paper, we argue that several lessons from medicine, derived from analysis of thousands of RCTs establishing a clear link between certain practices and biased estimates, can be used to reduce the risk of bias in economics RCTs. We identify the subset of these lessons applicable to economics and use them to assess risk of bias in estimates from economics RCTs published between 2001 and 2011. In comparison to medical studies, we find most economics studies do not report important details on study design necessary to assess risk of bias. Many report practices that suggest risk of bias, though this does not necessarily mean bias resulted. We conclude with suggestions on how to remedy these issues.

Background: The trial aims to evaluate whether neonatal mortality can be reduced through systemic changes to the provision and promotion of healthcare. Neonatal mortality rates in India are high compared to other low income countries, and there is a wide variation of rates across regions. There is evidence that relatively inexpensive interventions may be able to prevent up to 75% of these deaths. One area with a particularly high rate is Mahabubnagar District in Andhra Pradesh, where neonatal mortality is estimated to be in the region of 4-9%. The area suffers from a vicious cycle of both poor supply of and small demand for health care services. The trial will assess whether a package of interventions to facilitate systemic changes to the provision and promotion of healthcare may be able to substantially reduce neonatal mortality in this area and be costeffective. If successful, the trial is designed so that it should be possible to substantially scale up the project in regions with similarly high neonatal mortality throughout Andhra Pradesh and elsewhere.

Despite large schooling and learning gains in many developing countries, children in highly deprived areas are often unlikely to achieve even basic literacy and numeracy. We study how much of this problem can be resolved using a multi-pronged intervention combining three interventions known to be separately effective. We conducted a cluster-randomized trial in The Gambia evaluating a literacy and numeracy intervention designed for primary-aged children in remote parts of poor countries. The intervention combines para teachers delivering after-school supplementary classes, scripted lesson plans, and frequent monitoring focusing on improving teacher practice (coaching). A similar intervention previously demonstrated large learning gains in rural India. After three academic years, Gambian children allocated to the intervention scored 46 percentage points (3.2 SD) better on a combined literacy and numeracy test than control children. Our results demonstrate that, in this type of area, aggressive interventions can yield far greater learning gains than previously shown.