Faculty of Public Health - Andalas University - OCS, 13th IEA SEA Meeting and ICPH - SDev

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Prediction model to assess the output quality of water refill station production; study in urban area of developing country
Sri Yusnita Irda Sari, Ardini Saptaningsih Raksanagara, Dwi Agustian, Elsa Pudji Setiawati, Kusnandi Rusmil

Last modified: 2018-08-18


Background : The increasing of drinking water refill consumption in urban area had been anticipated by the government through Health Ministry Regulation about hygiene and sanitation of water refill stations (WRS), however quality of many WRS had been reported below the set standard. This study aimed to develop a model to predict quality of WRS production. Materials and methods : The study was observational, explanatory associative with cross-sectional design. Data were collected using questionnaire and observational checklist during May-August 2017 from 229 WRS in Bandung city. Output quality was determined by drinking water sample test and risk of contamination from swabs of refill containers and outlet taps. Prediction model was developed using Logic Model, analyzed with Partial Least Square-Structural Equation Modeling. Results : Output quality was influenced directly by worker practices (r=0.113; T-statistic 2.586). Risk of contamination was influenced by cleaning process of refill container and outlet tap (r=0.160; T-statistic 2.974). Final model to assess the output quality consisted of 26 indicators with the highest outer loading value was certified training (0.899). Conclusions : Further development of training program and integrated monitoring system is essential to increase the quality control. Keywords : drinking water, quality, water refill station, prediction model