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Don’t Waste the Medical Waste: Reducing Improperly Classified Hazardous Waste in a Medical Facility

Authors: Danny Hemani; Christine M Hostetter MA MT; Michelle Bagley;

Don’t Waste the Medical Waste: Reducing Improperly Classified Hazardous Waste in a Medical Facility

Abstract

Hospitals in the United States generate over one million tons of waste each year, approximately a quarter of which is classified as hazardous medical waste. There are environmental, infectious, and financial burdens associated with this waste, and those burdens increase significantly when the waste is hazardous. Managing waste can be difficult, but training is an effective approach to reducing waste. We conducted a quality improvement project at the Johns Hopkins Hospital Pathology Core Laboratory from 2015 through 2017. We hypothesized that improved staff training is an effective way to reduce the amount of general waste in a medical facility that is incorrectly classified as hazardous. Two interventions were identified and implemented, the first being a series of classroom-based training sessions and the second being a simple informational poster that was displayed over waste bins. The impact of the training and posters was measured by two surveys that were performed before and after the interventions. The first survey was a web-based instrument that was completed by laboratory staff, while the second survey was observational and measured how many bins contained improperly disposed waste. Some of the data from these interventions supports the hypothesis. The observational survey, in particular, recorded an increase in proper waste disposal from 7.5% to 71.9% following the classroom intervention. Future studies can help determine if these improvements can be increased and sustained over time by assessing the cost and benefit of different interventions and measuring how long the gains from each can be sustained.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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