Improving Sanitation at Scale: Lessons from TSSM Implementation

Sunday, 14-07-2013SurveyMETERSamia Amin, Anu Rangarajan, Evan Borkum


ACKNOWLEDGMENTS

Many people contributed in significant ways to the preparation of this report.

We are extremely grateful to the staff at the Water and Sanitation Programme-East Asia and Pacific office, and the Total Sanitation and Sanitation Marketing (TSSM) team in Indonesia for all the support they provided for this study. In Jakarta, the core TSSM team led by Almud Weitz and Djoko Wartono, and including Wano Irwantoro, Ari Kemasan, Amin Robiarto, and Effentrif spent endless hours describing their experiences in implementing TSSM and providing us with relevant documents, data, and materials. Nilanjana Mukherjee provided insights on early implementation. At the provincial level, valuable information on local program implementation was provided by Pak Saputra, the TSSM regional coordinator, and the staff from TSSM partner organizations: Mitra Samya, Surya Abadi, and ITS Surabaya. In particular, we would like to thank Pak Djoko and Pak Saputra for providing us with introductions to various key stakeholders. We would also like to thank Sasya Arifin, Pengky Priyono, and Eveline Turang for their assistance in organizing travel and meeting logistics.

At the Water and Sanitation Program’s global headquarters at the World Bank in Washington, D.C., we wish to thank Eduardo Perez, the global task team leader for his description of program inception and implementation. Bertha Briceño from the World Bank, who is the global impact evaluation leader, and Manisha Shah, the principal investigator for the TSSM impact evaluation in Indonesia, kindly shared their knowledge and insights on evaluation design and implementation, as well as shared impact evaluation data and survey instruments. Jack Molyneaux led the impact evaluation in its initial years.

We are especially grateful for the support of our project officers at the Bill & Melinda Gates Foundation, Alix Zwane and Louis Boorstin. Their support, input, and guidance at all stages of this study have been invaluable.

We owe a deep debt of gratitude to the numerous government officials, sectoral staff, and other stakeholders at the national, provincial, district, subdistrict, village, and hamlet levels who allowed us to interview them and who looked up documents, data, and other information at our request. We are especially grateful to the many households that participated in the survey and focus groups generously and shared their experiences with us.

In particular, we would like to thank our local data collection partners. Risang Rimbatmaja, Yunita Wahyuningrum, Abigael Ati, TriHastuti Nur, Maulana Hasan, and Ngatman tirelessly and meticulously conducted the qualitative data collection. Their excellent research skills and local and technical knowledge allowed us to conduct high-quality data collection. Translation assistance by Ivonne, Nora, and Ratih were invaluable in enabling us to participate in the numerous interviews and focus groups conducted as part of the qualitative effort. Bondan Sikoki and Wayan N. W. Suriastini from Survey Meter led the quantitative data collection. We are extremely grateful for Survey Meter collecting such high-quality data under the project time constraints.

Other Mathematica staff played an important role in the completion of this report. Alexander Persaud provided excellent programming, project management, and research support throughout the project. Nancy Murray and Robert Wood provided thoughtful feedback on the content of the report. John Kennedy carefully edited the report and Jennifer Baskwell provided exemplary production support.

We gratefully acknowledge these many contributions and accept sole responsibility for any errors or omissions in this report.

 

Samia Amin

Anu Rangarajan

Evan Borkum

 

See full report of Mathematica Policy Research at:

facicoImproving Sanitation at Scale: Lessons from TSSM Implementation

http://www.mathematica-mpr.com/publications/PDFs/international/TSSM_implementation.pdf