Teleworking by hospital pharmacists: Another step to achieve decarbonization of the healthcare system
Bibliographic record
Abstract
PURPOSE: The healthcare sector contributes approximately 4% to 5% of global greenhouse gas (GHG) emissions, thereby impacting climate change. Various initiatives, including teleworking, have been considered to mitigate GHG emissions, but their environmental impact remains poorly defined in the healthcare sector. This study aims to evaluate the impact of teleworking by hospital pharmacists on GHG emissions reduction by comparing the actual situation at one Canadian hospital, which includes teleworking shifts from home, to a scenario where all working shifts necessitate travel to the hospital. METHODS: The study was conducted at the pharmacy department of an academic hospital with 86 pharmacists (75 pharmacist full-time equivalents), between June 1, 2020, and May 31, 2023. Two different online carbon footprint calculators, one developed by the Centres de Gestion des Déplacements (CGD) and one available at the website of Carbon Footprint Ltd., were employed to measure mean GHG emissions in kilograms of carbon dioxide equivalents (CO2eq) for individuals based on their modes of transport and distances traveled between home and work. RESULTS: During the study period, teleworking resulted in a significant reduction of mean GHG emissions per pharmacist relative to the scenario of all on-site shifts, with a reduction of 134 kg CO2eq (1,160 CO2eq vs 1,026 CO2eq; t = 3.32; P = 0.0007) estimated with the CGD calculator and a reduction of 135 kg CO2eq (1,117 CO2eq vs 982 CO2eq; t = 4.31; P < 0.0001) estimated with the Carbon Footprint calculator. Those figures correspond to a reduction of 11.5% (11,249 kg CO2eq) to 12.1% (11,315 kg CO2eq) of the total quantity of emissions associated with commuting for the 84 pharmacists over 3 years. The median distance from home to the hospital was 10.0 km (interquartile range, 8.1 km), with nearly three-quarters of pharmacists commuting by public or active transport. CONCLUSION: Teleworking has a positive environmental impact and could be implemented in other pharmacy departments. The implemented teleworking approach represents an encouraging initial step toward reducing the GHG emissions associated with the travel of employees.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".