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Resumen de Monitoring water, sanitation and hygiene services: developing tools and methods to measure sustainable acces and practice at the local level

Ricard Giné Garriga Árbol académico

  • Water and sanitation improvements together with good hygiene (WaSH) have well-known positive impacts on human development and poverty alleviation. However, universal access to safe drinking water and basic sanitation remains a huge challenge in many low income countries, where vast numbers of people lack these basic services. To help end this appalling state of affairs, the Millennium Development Goals and other international initiatives have been launched to reduce the proportion of underserved people. These efforts, however, have been hampered by the lack of meaningful indicators to measure coverage and to establish progress towards the goals and targets set out by the international community. From an institutional viewpoint, the competences for many sector-related responsibilities have been delegated to lower administrative levels of government. It has come to be widely accepted that such decentralization process can help to reduce poverty because local governments are assumed to be more knowledgeable about and responsive to the needs of the poor. The sector also calls for greater transparency and accountability. In all, local decision-makers are being increasingly challenged by the need to take informed decisions and give an objective account of their actions, which rely crucially on adequate monitoring and reporting systems. Amongst others, available data may be employed to i) measure progress and performance; ii) improve transparency in budgetary procedures; and iii) allocate resources to deliver services where they are most needed. Today, reliable information on key WaSH-related variables at the local level is often missing, but even when it is available, the uptake and usage of such data by policymakers is, at best, challenging. Limited capacity of recipient governmental bodies, an inadequate monitoring and reporting framework, and lack of data updating mechanisms are common reasons that hamper an adequate appropriation and continued use of the data for planning and monitoring purposes. In an effort to address the shortcomings cited above, this thesis discusses methodologies for routine data collection and develops tools and processes to support local planning. In doing so, it covers the monitoring cycle of data collection, data analysis and data dissemination. In Chapter 1, an improved approach for data collection is presented. It combines two different information sources: the water point and the household, and thus provides a more complete picture of the context in which the services are delivered. Chapter 2 reviews four different approaches that are commonly adopted for monitoring purposes: i) health impact indicators; ii) the Joint Monitoring Programme; iii) one multidimensional, water-focused composite indicator; and iv) easy-to-use planning indices designed locally on an ad hoc basis. From a policy-making perspective the usefulness of outcomes produced by each approach is discussed. Chapter 3 introduces a variety of policy tools that may be used to promote decision-making: i) composite indices; ii) a small set of simple thematic indicators; and iii) object oriented Bayesian networks (ooBn). Chapter 4 presents different alternatives to enhance data interpretation and disemination, which is crucial to promote evidence-based and equity-oriented planning. Overall, results indicate that accurate and comprehensive data, if adequately collected, exploited and visualized through simple instruments, can serve as the basis for effective targeting and prioritization, both central to sector planning. The actual application and implementation of the proposed monitoring and reporting tools and processes in the real world, however, is to a certain extent elusive; and this has been pointed out as a major weakness of this research. Two specific challenges that remain unaddressed, namely the upgrading of decision support systems, and the design of data updating mechanisms, suggest the way forward.


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