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A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

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Measuring the effectiveness of performance-based training.

William Bowman¹, Michael Messner, Stig Regli

¹USEPA Office of Ground Water and Drinking Water, Drinking Water Protection Division, Protection Branch, 1200 Pennsylvania Avenue NW, MC 4606M, Washington, DC 20460, USA. bowman.will@epa.gov

Journal of Water and Health

|October 30, 2008

Summary

This study analyzed small water system data to evaluate the effectiveness of the EPA's Performance-Based Training (PBT) program. PBT training shows potential for improved water quality and public health, reducing Cryptosporidium infections.

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Area of Science:

Environmental Science
Public Health
Statistical Modeling

Background:

Small water systems face challenges in maintaining water quality and public health.
The U.S. Environmental Protection Agency (USEPA) developed the Performance-Based Training (PBT) program to address these challenges.
A logic model framework was used to connect training to public health outcomes.

Purpose of the Study:

To statistically analyze turbidity data from small water systems to assess the impact of PBT program training.
To estimate the potential public health benefits derived from improvements in water filtration performance due to training.
To support the USEPA's development of meaningful and measurable drinking water program indicators.

Main Methods:

A two-phase statistical analysis was employed.
Phase 1: Bayesian analysis of turbidity data to determine the significance of water quality changes post-training.
Phase 2: Estimation of health benefits based on measured filtration performance improvements, focusing on Cryptosporidium removal.

Main Results:

Training for small water system operators showed statistically significant improvements in finished water quality.
The PBT program is associated with an estimated annual health benefit of approximately ten fewer Cryptosporidium infections per thousand persons served.
Uncertainty factors in health benefit estimations were identified.

Conclusions:

The statistical analysis supports the efficacy of the PBT program in enhancing water quality and protecting public health.
The two-phase approach provides a robust method for developing sensitive and applicable drinking water program indicators.
Further benefits may be realized through the removal of other waterborne pathogens.