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Record W4382010570 · doi:10.1177/08404704231183601

Barriers and enablers to implementing environmentally sustainable practices in healthcare: A scoping review and proposed roadmap

2023· review· en· W4382010570 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueHealthcare Management Forum · 2023
Typereview
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsUniversity of WaterlooUniversity of TorontoUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsEnablingHealth careSustainabilityBusinessKnowledge managementIncentiveChecklistTransformational leadershipProcess managementMedicinePublic relationsPolitical sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

This scoping review sought to identify the barriers and enablers to implementing environmentally sustainable practices in healthcare, as well as propose a multi-phased approach to enable such implementation. The three concepts guiding the search were (1) environmental sustainability; (2) healthcare; and (3) barriers or enablers. The PRISMA checklist for scoping reviews was used to guide this search. A total of 16 articles were included and reviewed for data extraction. While most articles focused on healthcare in general, dentistry and surgery were the most recurring clinical areas of focus. Barriers and enablers were related to the individual (e.g. knowledge, skills, and attitude), institutional (e.g. budget, strategy, and readiness), geographical/infrastructural (e.g. infrastructure and public awareness), political (e.g. regulations and incentives), and other (e.g. patient awareness and knowledge). A key enabler identified was having transformational leadership with a clear vision and collaborative approach.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.106
GPT teacher head0.425
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it