Evidence map›Paper›PMID 39713265›Full record

ArticleSAGE open medicine2024

Compliance and associated factors of personal protective equipment among sanitary workers in selected public hospitals, Eastern Ethiopia: A cross-sectional study design.

Sina Temesgen Tolera, Tesfaye Gobena, Abraham Geremew, Elka Toseva, Nega Assefa

Abstract read
In one paragraph

Article in SAGE open medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

5 authors.

Sina Temesgen ToleraHaramaya University, College of Health and Medical Sciences, Harar City, Ethiopia.ORCID https://orcid.org/0000-0002-6489-3923
Tesfaye GobenaHaramaya University, College of Health and Medical Sciences, Harar City, Ethiopia.
Abraham GeremewHaramaya University, College of Health and Medical Sciences, Harar City, Ethiopia.
Elka TosevaFaculty of Public Health, Department of Hygiene, Medical University of Plovdiv, Plovdiv City, Bulgaria.
Nega AssefaHaramaya University, College of Health and Medical Sciences, Harar City, Ethiopia.ORCID https://orcid.org/0000-0003-0341-2329

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adherence to the proper use of protective personal equipment (PPE) in health care facilities including public hospitals is challenging among sanitation workers(SWs) across the world in general and in developing countries in particular. Despite the emphasis inline up on various policies and guidelines for PPE use implementation, inconsistent use of PPE, disobedience to PPE regulations, negligence, ignorance, discomfort, and lacking infection prevention and control (IPC) practice have been identified as main associated factors. All these and other factors contributing for the non-compliance of PPE practice among SWs within the hospitals in nations with limited resources such as Ethiopia, as well as study regions. Thus, such non-adherence or improper application of PPE is a major concern, and ultimately the consequences of unworthy PPE use has had an influence on the health and safety of sanitary workers. Objective: The aim of this study was to assess compliance and associated factors of personal protective equipment among sanitary workers in selected public hospitals, eastern Ethiopia. Methods: A cross-sectional research design used with mixed of quantitative and qualitative data. Surveys were conducted on 809 hospital sanitary workers from May-to-August, 2023. Face-to-face interview was conducted for the quantitative data. Sixteen Key Informant interviews were participated. Field observation also conducted. Epi Data version 3.1 was used for data import, while Stata version 17 MP was used for analysis. Multilevel binary and multivariable regression were for the crude odds ratio and adjusted odds ratio. Variables were analyzed at four levels: Model-0, Model-1, Model-2, and Model-3 for outcome, individual level, hospital level, and individual and hospital levels, respectively. Of these, only model 3 was reported for the interpretation. The cut-point of Result: Out of 809 sanitary workers, 729 (90.11%) of them were responded. The prevalence of compliance and noncompliance with protective personal equipment practice among sanitary workers were 46.78(95% CI: 43.11%-50.47%) and 53.22% (95% CI: 50.19%-57.11%), respectively. Multivariable multilevel analysis of model 3 shows that the overall variation for compliance of protective personal equipment practice between sanitary workers from hospitals to hospitals was 26.66%. The model also found that those had daily supervision (AOR = 13.71, 3.18-59.11), good infection prevention and control practice (AOR = 11.34, 1.97-65.24), and perceived less severity of protective personal equipment (AOR = 1.46, 0.85-2.59) were more likely to increase protective personal equipment practice. Conclusion: The study concluded that improper personal protective equipment practices among sanitary workers were caused by a shortage, discomfortable, wearing carelessly and negligence, felt less advantaged, and cues to action, and had worse self-efficacy. The study advised that maintaining a sufficient supply of protective personal equipment, increasing awareness of protective personal equipment utilization, and providing daily supervision are all necessary to improve the level of protective personal equipment compliance within the selected hospitals.

Indexed as

Associated factorscompliancepersonal protective equipmentpublic hospitalsanitary workers

Identifiers

PMID39713265
PMCPMC11663277

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.