Compelling, credible, recent, direct impact data
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Assessing impact and sustainability of health, water, and sanitation interventions in Bolivia six years post-project

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Eder, C., J. Schooley, et al. (2012). "Assessing impact and sustainability of health, water, and sanitation interventions in Bolivia six years post-project." Revista Panamericana de Salud Publica/Pan American Journal of Public Health 32(1): 43-48.

Objective: To assess the impact and sustainability of health, water, and sanitation interventions in Bolivia six years post-project.

Methods: A mixed-method (qualitative-quantitative) study was conducted in 14 rural intervention and control communities in Bolivia in November 2008, six years after the completion of interventions designed to improve knowledge and practices related to maternal and child health and nutrition, community water systems, and household water and sanitation facilities. The degree to which participants had sustained the community and household practices promoted by the interventions was a particular focus. Community site visits were made to evaluate the status (functional condition) and sustainability (state of maintenance and repair) of community and household water and sanitation infrastructure. Key informant interviews and focus group discussions were conducted to assess knowledge and practices, and perceptions about the value of the interventions to the community.

Results: Six years post-project, participants remained committed to sustaining the practices promoted in the interventions. The average rating for the functional condition of community water systems was 42% higher than the average rating in control communities. In addition, more than two-thirds of households continued to practice selected maternal and child health behaviors promoted by the interventions (compared to less than half of the households in the control communities). Communities that received integrated investments (development and health) seemed to sustain the practices promoted in the interventions better than communities that received assistance in only one of the two sectors.

Conclusions: Infrastructure for community water systems and household water and sanitation facilities was better built and maintained, and selected maternal and child health behaviors practiced more frequently, in intervention communities versus control communities.

Why the focus on direct impact data?

A common challenge from policy makers, funders, community members, people directly experiencing development issues, and governments is: Demonstrate your Impact. Prove that what you are doing works. The high quality, highly credible data presented on the cards below is designed to help you answer that question for your social change, behaviour change, community engagement, communication and media for development, strategy formulation, policy engagement and funding initiatives. At this link filter the research data to your specific interests and priorities

Why a playing cards design?

There is a physical pack of cards with this data (to get a copy please request through the comment form for any card). The card approach allows for easy identification and selection of relevant direct impact data in any context. For example if talking with a donor and you need to identify proof of impact say "take a look at the 7 of Hearts". Quick access can be provided to high-quality data for many areas of your work – funding, planning, policy, advocacy, community dialogue, training, partner engagement, and more. A card deck is also engaging, easy to use and share, a conversation starter, and a resource - and they are fun and different. So we kept that design for the online images as it can serve similar purposes. 

What are the criteria for inclusion?

The impact data presented meets the following high standard for inclusion criteria:

  • Positive change or trend in a priority development issue;
  • Social change or behaviour change strategy or process;
  • Randomized Control Trial or Systematic Review methodology;
  • High quality peer review journal published;
  • Numeric impact data point
  • Published since 2010.