School closures affecting more than 1.5 billion children are designed to prevent the spread of current public health risks from the COVID-19 pandemic, but they simultaneously introduce new short-term and long-term health risks through lost education. Measuring these effects in real time is critical to inform effective public health responses, and remote phone-based approaches are one of the only viable options with extreme social distancing in place. However, both the health and education literature are sparse on guidance for phone-based assessments. In this article, we draw on our pilot testing of phone-based assessments in Botswana, along with the existing literature on oral testing of reading and mathematics, to propose a series of preliminary practical lessons to guide researchers and service providers as they try phone-based learning assessments. We provide preliminary evidence that phone-based assessments can accurately capture basic numeracy skills. We provide guidance to help teams (1) ensure that children are not put at risk, (2) test the reliability and validity of phone-based measures, (3) use simple instructions and practice items to ensure the assessment is focused on the target skill, not general language and test-taking skills, (4) adapt the items from oral assessments that will be most effective in phone-based assessments, (5) keep assessments brief while still gathering meaningful learning data, (6) use effective strategies to encourage respondents to pick up the phone, (7) build rapport with adult caregivers and youth respondents, (8) choose the most cost-effective medium and (9) account for potential bias in samples.

The private school sector has expanded with almost no public intervention to educate half of primary school children in many urban centers in Africa and Asia. Simple comparisons of test scores would suggest that these private schools may provide better quality than public schools, but how much of this difference is due to selection effects is unclear. Much donor and policymaker attention has proceeded on the basis that private schools do perform better, and focused on models of public subsidy to expand access, and investment in networks or chains to encourage expansion. We review the evidence of the effects of private schools on learning, and how that effect translates to public-private partnerships (PPPs). We also study the effects of private school chains. We conduct a systematic review for eligible studies, with transparent search criteria. The search resulted in over 100 studies on low-cost private schools and PPPs, with a large majority being on low-cost private schools. Our meta-analysis shows moderately strong effects from private schooling, although the limited number of experimental studies find much smaller effects than quasi-experimental studies. This advantage, though, is not nearly enough to help most children reach important learning goals. Turning to policy goals, we find that the private school advantage has not translated to public private partnerships, which have shown limited value in improving quality. They can however represent a lower-cost means of increasing access to school. We also find that private school chains perform little better than individual private schools and have little scope for achieving meaningful scale.

No abstract

No abstract

Adherence to HIV care and treatment is the main challenge in following up HIV-infected patients in Mozambique. Similarly, adherence to prevention of mother to child transmission programmes is the main challenge in eliminating paediatric AIDS. Despite various interventions to improve patient adherence in Mozambique, the number of patients defaulting from treatment is still increasing. To address this problem, Absolute Return for Kids (ARK) launched a randomized control trial in 2011 to evaluate the impact of SMS reminders on adherence to antiretroviral therapy and prevention of mother to child transmission programmes. If proven effective and cost-effective the programme could be scaled up nationally and expanded to include all pregnant women. However, many HIV-positive pregnant women and women on HIV treatment do not have cell phones or are illiterate. Research has shown that women in sub-Saharan Africa are 23% less likely to own a mobile phone than men [1]. These vulnerable groups will continue to be left out of mhealth interventions, such as SMS reminders, that can have considerable impact on their and their families' health.