Evidence map›Paper›PMID 30341746›Full record

ArticleJournal of community health2019

Knowledge and Practice of Health Workers about Healthcare Waste Management in Public Health Facilities in Eastern Ethiopia.

Tadelle Doylo, Tadesse Alemayehu, Negga Baraki

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Article in Journal of community health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tadelle DoyloCollege of Health and Medical Sciences, Haramaya University, P.O.Box 235, Harar, Ethiopia.
Tadesse AlemayehuCollege of Health and Medical Sciences, Haramaya University, P.O.Box 1517, Harar, Ethiopia. tadessewon@yahoo.com.ORCID 0000-0002-1560-7636
Negga BarakiCollege of Health and Medical Sciences, Haramaya University, P.O.Box 235, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare waste management (HWM) problems are growing with an ever-increasing number of hospitals, clinics, diagnostic laboratories, etc in Ethiopia. Health workers are one of the key personnel who are responsible for the proper management of healthcare wastes at any health facilities. However, this performance will depend the level of knowledge and practice regarding waste management. A facility based cross-sectional study design was applied on 400 health workers. All public health institutions inside Jigjiga town were included and the study participants were randomly selected from each health facility. Data were collected using pre-tested and self administered questionnaire. The collected data was analyzed using SPSS version 20. Multivariable logistic regression model was used to identify factors associated with knowledge and practice of health workers. Out of those involved in this study, 47.7% and 42.3% of respondents had good knowledge and good practice on healthcare waste management, respectively. Health workers in the age group of 35-44 years, nurses, midwifes, medical laboratory, were significantly associated with knowledge of health workers. On the other hand, only educational status was significantly associated with practice. In this study, both knowledge and practice of health workers about healthcare waste management was poor. To enhance both the knowledge and practice of health workers, on job training is recommended.

Indexed as

Health Knowledge, Attitudes, PracticeHospitals, PublicWaste ManagementAdultCross-Sectional StudiesEducational StatusEthiopiaHealth PersonnelHumansHealthcare wasteHealth workersKnowledgePracticeWaste management

Identifiers

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Registered trials

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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.