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Carbon Footprint Reduction Associated With Multidisciplinary Pediatric Airway Clinics: A Program Evaluation Study.
Alina Zgardau1, Kalpesh Hathi2, James Fowler3
1Schulich School of Medicine and Dentistry Western University London Ontario Canada.
Multidisciplinary pediatric airway clinics significantly cut carbon emissions and travel costs by consolidating appointments. This model offers a sustainable approach to healthcare, reducing environmental impact and saving patients money.
Area of Science:
- Environmental Health
- Healthcare Management
- Pediatric Medicine
Background:
- Healthcare contributes significantly to the climate crisis.
- Multidisciplinary clinics (MDC) offer a potential solution by consolidating appointments to reduce travel.
- This study is the first to quantify the carbon footprint of pediatric airway MDCs.
Purpose of the Study:
- To evaluate the carbon footprint and financial savings of a pediatric airway multidisciplinary clinic.
- To assess the impact of consolidating otolaryngology and respirology appointments.
- To provide data for adapting similar models in other healthcare settings.
Main Methods:
- Retrospective analysis of 560 appointments for 300 patients from January 2018 to December 2022.
- Utilized the CASCADES carbon accounting tool with patient postal codes and parking rates.
- Calculated carbon emissions based on sustainable and unsustainable transportation modes and associated travel costs.
Main Results:
- A total of 77,785 km in travel were averted, saving 16.21 tonnes of carbon emissions.
- This is equivalent to the emissions of 5 passenger vehicles or 6906 liters of gasoline.
- Patients saved between $28,891.83 and $33,774.55 in travel and parking costs.
Conclusions:
- Pediatric airway multidisciplinary clinics effectively reduce carbon emissions and provide financial benefits to patients.
- The MDC model demonstrates a viable strategy for mitigating climate change within the healthcare sector.
- This approach can be replicated across institutions to promote environmental sustainability in healthcare.
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