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Record W4413247698 · doi:10.3126/njdrs.v21i01.80374

Assessment of Healthcare Waste Management Practices at Seti Provincial Hospital, Nepal

2024· article· en· W4413247698 on OpenAlexaff
Bidya S. Joshi, Jiban Sharma, Bimala Joshi, Luna Thapa, Mahesh Prasad Awasthi, Tark Raj Joshi, Ramesh Raj Pant

Bibliographic record

VenueNepalese Journal of Development and Rural Studies · 2024
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Environmental Waste Management
Canadian institutionsWestern University
Fundersnot available
KeywordsHazardous wasteWaste managementHealth careHospital wasteBusinessBiomedical wasteEnvironmental healthMedicineEngineering

Abstract

fetched live from OpenAlex

Globally, healthcare waste (HCW) is recognized as the second most hazardous type of waste after radioactive materials. Improper management of HCW poses significant risks to healthcare workers, patients, surrounding communities, and the environment. This study aims to assess the current status of HCW generation and management at Seti Provincial Hospital in Nepal. Conducted over a 15-day period, the study evaluated the quantity and handling practices of HCW within the hospital. The waste collected was categorized into hazardous and non-hazardous types. The average HCW generation rate was found to be 0.55 kg per patient per day, with 65.98% classified as non-hazardous and 34.02% as hazardous. Findings indicate that the hospital's HCW management practices require significant improvement. To ensure sustainable and safe waste handling, the adoption of scientifically sound and environmentally responsible methods for segregation, collection, transportation, storage, and disposal is strongly recommended.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.364
Teacher spread0.326 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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