| Literature DB >> 23850660 |
Ricard Giné-Garriga1, Alejandro Jiménez-Fernández de Palencia, Agustí Pérez-Foguet.
Abstract
Strategic planning and appropriate development and management of water and sanitation services are strongly supported by accurate and accessible data. If adequately exploited, these data might assist water managers with performance monitoring, benchmarking comparisons, policy progress evaluation, resources allocation, and decision making. A variety of tools and techniques are in place to collect such information. However, some methodological weaknesses arise when developing an instrument for routine data collection, particularly at local level: i) comparability problems due to heterogeneity of indicators, ii) poor reliability of collected data, iii) inadequate combination of different information sources, and iv) statistical validity of produced estimates when disaggregated into small geographic subareas. This study proposes an improved approach for water, sanitation and hygiene (WASH) data collection at decentralised level in low income settings, as an attempt to overcome previous shortcomings. The ultimate aim is to provide local policymakers with strong evidences to inform their planning decisions. The survey design takes the Water Point Mapping (WPM) as a starting point to record all available water sources at a particular location. This information is then linked to data produced by a household survey. Different survey instruments are implemented to collect reliable data by employing a variety of techniques, such as structured questionnaires, direct observation and water quality testing. The collected data is finally validated through simple statistical analysis, which in turn produces valuable outputs that might feed into the decision-making process. In order to demonstrate the applicability of the method, outcomes produced from three different case studies (Homa Bay District-Kenya-; Kibondo District-Tanzania-; and Municipality of Manhiça-Mozambique-) are presented.Keywords: Data collection; Data management; East Africa; Household survey; JMP; Joint Monitoring Programme for Water Supply and Sanitation; MICS; Multiple Indicator Cluster Survey; NGO; Non-governmental organization; UNICEF; United Nations Children's Fund; WASH; WP; WPM; Water Point Mapping; Water point mapping; Water, Sanitation and Hygiene; Waterpoint
Mesh:
Year: 2013 PMID: 23850660 DOI: 10.1016/j.scitotenv.2013.06.005
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963