Environmental Health Practice: Statistically Based Performance Measurement
- Autores: Richard T. Enander, Ronald Gangnon , R. Choudary Hanumara, Eugene Park, Thomas Armstrong, David M. Gute
- Localización: American journal of public health, ISSN 0090-0036, Vol. 97, Nº. 5, 2007, págs. 819-824
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Objectives. State environmental and health protection agencies have traditionally relied on a facility-by-facility inspection-enforcement paradigm to achieve compliance with government regulations. We evaluated the effectiveness of a new approach that uses a self-certification random sampling design.Methods. Comprehensive environmental and occupational health data from a 3-year statewide industry self-certification initiative were collected from representative automotive refinishing facilities located in Rhode Island. Statistical comparisons between baseline and postintervention data facilitated a quantitative evaluation of statewide performance.Results. The analysis of field data collected from 82 randomly selected automotive refinishing facilities showed statistically significant improvements (P<.05, Fisher exact test) in 4 major performance categories: occupational health and safety, air pollution control, hazardous waste management, and wastewater discharge. Statistical significance was also shown when a modified Bonferroni adjustment for multiple comparisons was performed.Conclusions. Our findings suggest that the new self-certification approach to environmental and worker protection is effective and can be used as an adjunct to further enhance state and federal enforcement programs.
