ArticlePloS one2020
Perceived risk and associated factors of healthcare waste in selected hospitals of Kathmandu, Nepal.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Perceptions of medical waste exposure prevention among medical waste handlers in Hadiya zone, Ethiopia: a mixed-methods study using the health belief model.BMC public health · 2025Article
- Knowledge about handling hazardous materials as factors associated with adherence to healthcare waste management practices among waste handlers at government district hospitals of Madhesh province, Nepal: A quantitative-qualitative methods study.PLOS global public health · 2024Article
- Impact of a virtual educational intervention on knowledge and awareness of biomedical waste management among Peruvian dental professionals.Scientific reports · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare waste management is the subject of a neglected issue in many developing countries. Health care facilities are facing a major challenge in handling healthcare wastes and reducing their potential risks to human health and the environment. Insufficient understanding of the risk associated with healthcare waste by health workforce can contribute to poor waste management practices. The main aim of this study is to assess risk perception towards healthcare waste among hospital attendants and to identify associated factors. METHODOLOGY: We carried out a cross-sectional hospital-based study among 120 attendants of a private and public hospital in Kathmandu, Nepal. We used two-stage random sampling for the selection of hospital and participants. We conducted a face-to-face interview with the participants using semi-structured questionnaires. Based on the mean score, we classified risk perception as good and poor. Bivariate and multivariate analysis was carried out to determine associates of risk perception towards healthcare waste.
resultsApproximately 51.0% of hospital attendants had poor risk perception of healthcare waste. Nearly half of the participants (49.2%) had inadequate knowledge and 43.0% had a negative attitude. Factors such as healthcare waste management training (p = 0.028), housekeeping department (p = 0.036) and attitude (p = 0.001) were associated with risk perception of healthcare waste.
conclusionHospital attendants had a poor understanding of risk perception of healthcare waste. Periodic training on healthcare waste management and edification on the risk associated with healthcare waste is essential to boost awareness among all healthcare workers. Communication on behavioral improvements for appropriate waste management must be prioritized to change the perception of health workers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.