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Related Experiment Video

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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

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Co-developing frameworks towards environmentally directed pharmaceutical prescribing in Scotland - A mixed methods

Lydia Niemi¹, Naoko Arakawa², Miriam Glendell³

¹Environmental Research Institute, University of the Highlands and Islands, UK.

The Science of the Total Environment

|October 26, 2024

Summary

This summary is machine-generated.

Pharmaceuticals in water pose a public health risk. This study developed a framework to assess pharmaceutical pollution, identifying clarithromycin as a high-risk pollutant in Scottish freshwater catchments.

Keywords:

Catchment modelling and mapping Consensus development Environmental risk assessment Multi-criteria decision-making Pharmaceutical pollution Public health

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Area of Science:

Environmental Science
Public Health
Health Services Research

Background:

Pharmaceuticals in aquatic environments are a global concern.
Scottish healthcare aims to reduce environmental impact from medicine use.
A knowledge support tool is needed for healthcare professionals regarding pharmaceutical pollution.

Purpose of the Study:

Develop a framework to assess the environmental impact of pharmaceuticals.
Create a knowledge support tool for healthcare professionals.
Focus on pharmaceutical pollution in freshwater catchments.

Main Methods:

Nominal Group Technique used for stakeholder consensus on pharmaceuticals and model factors.
Bayesian Belief Network modelling to predict environmental impact (hazard and exposure).
Scotland-wide mapping of pharmaceutical pollution risk in freshwater catchments.

Main Results:

Model calculated pollution risk scores for individual pharmaceuticals.
Clarithromycin showed the highest risk, exceeding predicted no-effect concentrations in most modelled catchments (>80% probability in 35/40).
Model generally overpredicted risk compared to observed data, indicating a need for refined factors and data resolution.

Conclusions:

A novel trans-disciplinary approach was demonstrated for integrating environmental information into healthcare decision-making.
The developed framework aids in understanding and managing pharmaceutical pollution.
Future work will refine the model and develop electronic interfaces for healthcare professionals.