Environmental responsibility in hospital care: Findings from a qualitative study
Bibliographic record
Abstract
Objective: To identify the key elements of environmental responsibility in hospital care and the stakeholders involved.Background: Hospital care causes a significant global environmental burden, which threatens human health and wellbeing. Environmental responsibility has been identified as an essential part of patient care with regard to health promotion and wellbeing of humans, but it has often been regarded as a secondary issue in hospitals. In addition, the lack of organizational structures and administrative as well as managerial support inhibit the promotion of environmental responsibility in hospitals.Methods: We used a qualitative study with semi-structured interviews and document analysis. Our data was drawn from the environmental managers of five Finnish university hospitals and documents on their environmental programs.Results: We found that the aim of environmental responsibility in hospital care was to avoid unnecessary emissions, and that it was guided by the authorities and by ethical values. It included targets for sustainable use of material, electricity, water and transport. Environmental responsibility required the involvement of several stakeholders, including administrators, environmental manager, immediate leaders, environmental support people, staff and patients. Implementation of environmental responsibility was promoted by collaboration, education, diverse initiatives to motivate staff, and continuously developing practices.Conclusions: Environmental responsibility extended throughout a hospital organization. Staff was in a key position to implement it, but they needed versatile organizational support, including education, clear procedures, defined roles, and a motivational culture and facilities.Implications for hospital management: This study yields new knowledge that will provide information for the development of organisational structures with respect to environmental responsibility in hospital care.
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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 | 0.018 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".