Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
98%
921
2 minutes
20
Background: The healthcare sector plays a significant role in greenhouse gas emissions, hospitals contributed about 5.2% of the global carbon footprint, totaling 10.8 billion tons. It highlights China's healthcare emissions and the potential benefits of energy-efficient technologies in medical settings, including different dialysis treatments. The healthcare sector, a major emissions source, could reduce its impact through sustainable practices.
Methods: This retrospective cross-sectional study evaluated the annual carbon footprint of patients undergoing hemodialysis (HD) and peritoneal dialysis (PD). We analyzed demographic characteristics and carbon consumption across both groups, distinguishing the environmental impacts of HD and PD. Linear regression models were used to identify factors influencing carbon emissions.
Results: The study included 271 dialysis patients, comprising 143 HD and 128 PD cases. The annual carbon footprints of HD and PD were 3063.1 kg CO2-eq and 436.4 kg CO2-eq, respectively. For HD, the largest contributors to carbon emissions were equipment power consumption (43%) and medical consumables (23%), while for PD, discharge medication (49%) and medical supplies (48%) dominated. The carbon footprint of HD remained stable at 2500-3500 kg CO2-eq per year, while PD ranged from 200-800 kg CO2-eq per year, with no significant changes over extended dialysis periods. Factors such as age, occupation, and geographical location showed varying effects on the carbon footprints of HD and PD.
Conclusions: This study offers a framework for quantifying ecological benefits from optimized clinical pathways. The findings suggest that promoting peritoneal dialysis could significantly reduce the healthcare sector's carbon footprint, advancing efforts toward sustainability and environmentally responsible healthcare delivery.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/intqhc/mzaf050 | DOI Listing |