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Carbon emission reduction associated with utilisation of telehealth in outpatient clinics in an Australian quaternary health service
Objective: To assess the impact of implementing telehealth in outpatient clinics on the carbon emissions associated with the delivery of health care. Design and Setting: Retrospective cohort study in large metropolitan quaternary referral health service from January 2021- December 2022. Participants...
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Published in: | Asia Pacific journal of health management 2024-10, Vol.19 (2), p.55-60 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Objective: To assess the impact of implementing telehealth in outpatient clinics on the carbon emissions associated with the delivery of health care.
Design and Setting: Retrospective cohort study in large metropolitan quaternary referral health service from January 2021- December 2022. Participants: All patients who attended an outpatient clinic appointment during the study period, either in-person, via telehealth or via telephone.
Main Outcome Measures: The estimation of carbon emissions in tonnes (t) of CO2-equivalent (CO2-e) associated with in-person and telehealth appointments based on emissions associated with travel, telehealth platform usage and N95 mask usage.
Results: There were 571,121 outpatient clinic appointments during the study period. Of the appointments, 251,458 (44%) were conducted remotely, resulting in an estimated reduction in 3,629t of CO2-e emissions in the two-year period. Telehealth consultations in this time contributed 4.5t of CO2-equivalent emissions. The total emission usage of telehealth clinic was only 0.12% of emissions generated from face-to-face clinic appointments.
Conclusion: Telehealth offers the opportunity of substantial carbon emissions reduction within the healthcare sector, while also providing cost and time-saving benefits for healthcare services and patients. Limitations include generalisation of transportation modes and the retrospective nature of the data collection. |
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ISSN: | 1833-3818 2204-3136 |
DOI: | 10.24083/apjhm.v19i2.3665 |