Following the release of the working-paper User’s Guide for the Multidimensional Poverty Assessment Tool (MPAT) in 2009, a number of agencies and universities used the beta-version of MPAT in a variety of settings. In order to finalize MPAT and develop a comprehensive User’s Guide and associated resources, we built on the lessons learned from early adopters of the the tool (e.g., an NGO in Kenya) and iteratively used and evaluated the tool with IFAD-supported projects in Bangladesh and Mozambique. Details on the participatory expert elicitation methods we used are provided in a Journal of Development Studies paper. We developed an Excel-based data entry platform so users could easily calculate MPAT’s indicators at household, village, and project levels. We also wrote a comprehensive, 300+ page, 2014 MPAT User’s Guide which provides step-by-step instructions for using MPAT as well as training modules and materials, all with the goal of making MPAT an accessible open-source tool. The User’s Guide and accompanying resources were presented at a 2014 launch event in Rome. Since its 2014 release, MPAT has been translated into a number of languages, an optional 11th component focused on climate change was added, and MPAT has been used by a variety of agencies and institutions around the world. MPAT publications and related resources are available at www.ifad.org/mpat.
Results from our previous research in rural China suggests that increasing the use of electric kettles for boiling (i.e., treating) drinking water in low-income areas of rural China could help expand access to safer drinking water, reduce household air pollution, and improve environmental and health outcomes in rural Chinese households currently boiling drinking water with solid-fuels (or not treating their water, or drinking contaminated bottled water). Our study was designed (and pre-registered on Chinese Clinical Trials Register & ClinicalTrials.gov) to evaluate the impact of a pilot Rural Electric Kettle Promotion Program offered to low-income households in rural Anhui Province, China. Specifically, we used a parallel arm cohort cluster-randomized controlled (RCT) trial design with a 1:1 ratio to randomize 30 villages (i.e., clusters) to treatment or control using stratified randomization by geography and by cluster proportions of reported electric kettle use at baseline (900 households total).
[Notes: We pre-specified and pre-registered our statistical analysis plan, but data cleaning and analysis were significantly delayed due to the COVID19 pandemic; we anticipate publishing primary findings in 2022]